Most-cited articles · 2020
The 50 most-cited articles in F1000Research, 2020
Ranked by OpenAlex citation count on 29 October 2026, out of 1,238 eligible articles F1000Research published in 2020. Ranks are frozen; this page will not change. Number one, with 1,458 citations: GFF Utilities: GffRead and GffCompare.
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- 2026-10-29
The top of the list is dominated by software and methods papers, alongside reviews on COVID-19 and on chronic inflammatory disease. The most-cited entry is GFF Utilities: GffRead and GffCompare by Geo M. Pertea and Mihaela Pertea, with 1458 citations, followed by a second entry for the same work at 1149 citations. Other highly cited items include gprofiler2, an R package for gene list functional enrichment analysis, and a review of the epidemiology of mental health problems in COVID-19.
Readers can use the list to see which 2020 F1000Research articles attracted the most citations, as counted by OpenAlex, and to identify recurring subjects such as bioinformatics tools, single-cell analysis, and pandemic-related research. The ranking reflects citation counts only and does not assess quality or importance.
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- 1top 0.1%
GFF Utilities: GffRead and GffCompare
Geo M. Pertea, Mihaela Pertea
1,458 citationsOpen access (CC-BY)doi:10.12688/f1000research.23297.1OpenAlex
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Summary: GTF (Gene Transfer Format) and GFF (General Feature Format) are popular file formats used by bioinformatics programs to represent and exchange information about various genomic features, such as gene and transcript locations and structure. GffRead and GffCompare are open source programs that provide extensive and efficient solutions to manipulate files in a GTF or GFF format. While GffRead can convert, sort, filter, transform, or cluster genomic features, GffCompare can be used to compare and merge different gene annotations. Availability and implementation: GFF utilities are implemented in C++ for Linux and OS X and released as open source under an MIT license ( https://github.com/gpertea/gffread , https://github.com/gpertea/gffcompare ).
- 2top 0.2%
GFF Utilities: GffRead and GffCompare
Geo M. Pertea, Mihaela Pertea
1,149 citationsOpen access (CC-BY)doi:10.12688/f1000research.23297.2OpenAlex
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Summary: GTF (Gene Transfer Format) and GFF (General Feature Format) are popular file formats used by bioinformatics programs to represent and exchange information about various genomic features, such as gene and transcript locations and structure. GffRead and GffCompare are open source programs that provide extensive and efficient solutions to manipulate files in a GTF or GFF format. While GffRead can convert, sort, filter, transform, or cluster genomic features, GffCompare can be used to compare and merge different gene annotations. Availability and implementation: GFF utilities are implemented in C++ for Linux and OS X and released as open source under an MIT license ( https://github.com/gpertea/gffread , https://github.com/gpertea/gffcompare ).
- 3top 0.3%
gprofiler2 -- an R package for gene list functional enrichment analysis and namespace conversion toolset g:Profiler
Liis Kolberg, Uku Raudvere, Ivan Kuzmin, Jaak Vilo, Hedi Peterson
1,097 citationsOpen access (CC-BY)doi:10.12688/f1000research.24956.1OpenAlex
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g:Profiler ( https://biit.cs.ut.ee/gprofiler ) is a widely used gene list functional profiling and namespace conversion toolset that has been contributing to reproducible biological data analysis already since 2007. Here we introduce the accompanying R package, gprofiler2 , developed to facilitate programmatic access to g:Profiler computations and databases via REST API. The gprofiler2 package provides an easy-to-use functionality that enables researchers to incorporate functional enrichment analysis into automated analysis pipelines written in R. The package also implements interactive visualisation methods to help to interpret the enrichment results and to illustrate them for publications. In addition, gprofiler2 gives access to the versatile gene/protein identifier conversion functionality in g:Profiler enabling to map between hundreds of different identifier types or orthologous species. The gprofiler2 package is freely available at the CRAN repository .
- 4top 0.4%
Epidemiology of mental health problems in COVID-19: a review
Md Mahbub Hossain, Samia Tasnim, Abida Sultana, Farah Faizah, Hoimonty Mazumder and 4 more
1,083 citationsOpen access (CC-BY)doi:10.12688/f1000research.24457.1OpenAlex
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The novel coronavirus disease 2019 (COVID-19) has become a pandemic affecting health and wellbeing globally. In addition to the physical health, economic, and social implications, the psychological impacts of this pandemic are increasingly being reported in the scientific literature. This narrative review reflected on scholarly articles on the epidemiology of mental health problems in COVID-19. The current literature suggests that people affected by COVID-19 may have a high burden of mental health problems, including depression, anxiety disorders, stress, panic attack, irrational anger, impulsivity, somatization disorder, sleep disorders, emotional disturbance, posttraumatic stress symptoms, and suicidal behavior. Moreover, several factors associated with mental health problems in COVID-19 are found, which include age, gender, marital status, education, occupation, income, place of living, close contact with people with COVID-19, comorbid physical and mental health problems, exposure to COVID-19 related news and social media, coping styles, stigma, psychosocial support, health…
- 5top 0.5%
scRepertoire: An R-based toolkit for single-cell immune receptor analysis
Nicholas C. Borcherding, Nicholas L. Bormann, Gloria Kraus
608 citationsOpen access (CC-BY)doi:10.12688/f1000research.22139.1OpenAlex
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Single-cell sequencing is an emerging technology in the field of immunology and oncology that allows researchers to couple RNA quantification and other modalities, like immune cell receptor profiling at the level of an individual cell. A number of workflows and software packages have been created to process and analyze single-cell transcriptomic data. These packages allow users to take the vast dimensionality of the data generated in single-cell-based experiments and distill the data into novel insights. Unlike the transcriptomic field, there is a lack of options for software that allow for single-cell immune receptor profiling. Enabling users to easily combine mRNA and immune profiling, scRepertoire was built to process data derived from 10x Genomics Chromium Immune Profiling for both T-cell receptor (TCR) and immunoglobulin (Ig) enrichment workflows and subsequently interacts with a number of popular R packages for single-cell expression, such as Seurat. The scRepertoire R package and processed data are open source and available on GitHub and provides in-depth tutorials on the…
- 6top 0.5%
GoodVibes: automated thermochemistry for heterogeneous computational chemistry data
Guilian Luchini, Juan V. Alegre‐Requena, Ignacio Funes‐Ardoiz, Robert S. Paton
566 citationsOpen access (CC-BY)doi:10.12688/f1000research.22758.1OpenAlex
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GoodVibes is an open-source Python toolkit for processing the results of quantum chemical calculations. Thermochemical data are not simply parsed, but evaluated by evaluation of translational, rotational, vibrational and electronic partition functions. Changes in concentration, pressure, and temperature can be applied, and deficiencies in the rigid rotor harmonic oscillator treatment can be corrected. Vibrational scaling factors can also be applied by automatic detection of the level of theory and basis set. Absolute and relative thermochemical values are output to text and graphical plots in seconds. GoodVibes provides a transparent and reproducible way to process raw computational data into publication-quality tables and figures without the use of spreadsheets.
- 7top 0.6%
All disease begins in the (leaky) gut: role of zonulin-mediated gut permeability in the pathogenesis of some chronic inflammatory diseases
Alessio Fasano
485 citationsOpen access (CC-BY)doi:10.12688/f1000research.20510.1OpenAlex
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Improved hygiene leading to reduced exposure to microorganisms has been implicated as one possible cause for the recent "epidemic" of chronic inflammatory diseases (CIDs) in industrialized countries. That is the essence of the hygiene hypothesis that argues that rising incidence of CIDs may be, at least in part, the result of lifestyle and environmental changes that have made us too "clean" for our own good, so causing changes in our microbiota. Apart from genetic makeup and exposure to environmental triggers, inappropriate increase in intestinal permeability (which may be influenced by the composition of the gut microbiota), a "hyper-belligerent" immune system responsible for the tolerance-immune response balance, and the composition of gut microbiome and its epigenetic influence on the host genomic expression have been identified as three additional elements in causing CIDs. During the past decade, a growing number of publications have focused on human genetics, the gut microbiome, and proteomics, suggesting that loss of mucosal barrier function, particularly in the…
- 8top 0.7%
Prediction of the SARS-CoV-2 (2019-nCoV) 3C-like protease (3CLpro) structure: virtual screening reveals velpatasvir, ledipasvir, and other drug repurposing candidates
Yu Wai Chen, Chin-Pang Bennu Yiu, Kwok‐Yin Wong
432 citationsOpen access (CC-BY)doi:10.12688/f1000research.22457.2OpenAlex
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We prepared the three-dimensional model of the SARS-CoV-2 (aka 2019-nCoV) 3C-like protease (3CLpro) using the crystal structure of the highly similar (96% identity) ortholog from the SARS-CoV. All residues involved in the catalysis, substrate binding and dimerisation are 100% conserved. Comparison of the polyprotein PP1AB sequences showed 86% identity. The 3C-like cleavage sites on the coronaviral polyproteins are highly conserved. Based on the near-identical substrate specificities and high sequence identities, we are of the opinion that some of the previous progress of specific inhibitors development for the SARS-CoV enzyme can be conferred on its SARS-CoV-2 counterpart. With the 3CLpro molecular model, we performed virtual screening for purchasable drugs and proposed 16 candidates for consideration. Among these, the antivirals ledipasvir or velpatasvir are particularly attractive as therapeutics to combat the new coronavirus with minimal side effects, commonly fatigue and headache. The drugs Epclusa (velpatasvir/sofosbuvir) and Harvoni (ledipasvir/sofosbuvir) could be very…
- 9top 0.8%
Oral squamous cell carcinoma: metastasis, potentially associated malignant disorders, etiology and recent advancements in diagnosis
Amr Bugshan, Imran S. Farooq
385 citationsOpen access (CC-BY)doi:10.12688/f1000research.22941.1OpenAlex
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Oral squamous cell carcinoma (OSCC) is a commonly occurring head and neck cancer. It has a high prevalence in certain parts of the world, and is associated with a high mortality rate. In this review, we describe metastasis related to OSCC, and disorders that could lead to OSCC with common etiological factors. In addition, a brief account of the diagnosis of OSCC and role of salivary biomarkers in its early detection has also been highlighted. Google Scholar and PubMed search engines were searched with keywords including "oral squamous cell carcinoma", "OSCC", "oral cancer", "potentially malignant disorders in oral cavity", "etiological factors of OSCC", "diagnosis of OSCC", and "salivary biomarkers and OSCC" to gather the literature for this review. The review concludes that OSCC has the potential for regional as well as distant metastasis, and many potentially malignant diseases can transform into OSCC with the help of various etiological factors. Diagnosis of OSCC involves traditional biopsy, but salivary biomarkers could also be utilized for early recognition.
- 10top 0.9%
Prediction of the SARS-CoV-2 (2019-nCoV) 3C-like protease (3CLpro) structure: virtual screening reveals velpatasvir, ledipasvir, and other drug repurposing candidates
Yu Wai Chen, Chin-Pang Bennu Yiu, Kwok‐Yin Wong
323 citationsOpen access (CC-BY)doi:10.12688/f1000research.22457.1OpenAlex
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We prepared the three-dimensional model of the 2019-nCoV 3C-like protease (3CL pro ) using the crystal structure of the highly-similar (96% identity) ortholog from the SARS-CoV. All residues involved in the catalysis, substrate binding and dimerisation are 100% conserved. Comparison of the polyprotein PP1AB sequences showed 86% identity. The 3C-like cleavage sites on the coronaviral polyproteins are highly conserved. Based on the near-identical substrate specificities and high sequence identities, we are in the opinion that some of the previous progress of specific inhibitors development for the SARS-CoV enzyme can be conferred on its 2019-nCoV counterpart. With the 3CL pro molecular model, we performed virtual screening for purchasable drugs and proposed 16 candidates for consideration. Among these, the antivirals ledipasvir or velpatasvir are particularly attractive as therapeutics to combat the 2019-nCoV with minimal side effects, commonly fatigue and headache. The drugs Epclusa (velpatasvir / sofosbuvir) and Harvoni (ledipasvir / sofosbuvir) could be very effective owing to…
- 11top 0.9%
Therapeutic strategies in an outbreak scenario to treat the novel coronavirus originating in Wuhan, China
Robert L. Kruse
311 citationsOpen access (CC-BY)doi:10.12688/f1000research.22211.1OpenAlex
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A novel coronavirus (2019-nCoV) originating in Wuhan, China presents a potential respiratory viral pandemic to the world population. Current efforts are focused on containment and quarantine of infected individuals. Ultimately, the outbreak could be controlled with a protective vaccine to prevent 2019-nCoV infection. While vaccine research should be pursued intensely, there exists today no therapy to treat 2019-nCoV upon infection, despite an urgent need to find options to help these patients and preclude potential death. Herein, I review the potential options to treat 2019-nCoV in patients, with an emphasis on the necessity for speed and timeliness in developing new and effective therapies in this outbreak. I consider the options of drug repurposing, developing neutralizing monoclonal antibody therapy, and an oligonucleotide strategy targeting the viral RNA genome, emphasizing the promise and pitfalls of these approaches. Finally, I advocate for the fastest strategy to develop a treatment now, which could be resistant to any mutations the virus may have in the future. The proposal…
- 12top 1%
Recent advances in the treatment of osteoarthritis
Susanne Grässel, Dominique Muschter
309 citationsOpen access (CC-BY)doi:10.12688/f1000research.22115.1OpenAlex
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Osteoarthritis (OA) is one of the most debilitating diseases and is associated with a high personal and socioeconomic burden. So far, there is no therapy available that effectively arrests structural deterioration of cartilage and bone or is able to successfully reverse any of the existing structural defects. Efforts to identify more tailored treatment options led to the development of strategies that enabled the classification of patient subgroups from the pool of heterogeneous phenotypes that display distinct common characteristics. To this end, the classification differentiates the structural endotypes into cartilage and bone subtypes, which are predominantly driven by structure-related degenerative events. In addition, further classifications have highlighted individuals with an increased inflammatory contribution (inflammatory phenotype) and pain-driven phenotypes as well as senescence and metabolic syndrome phenotypes. Most probably, it will not be possible to classify individuals by a single definite subtype, but it might help to identify groups of patients with a predominant…
- 13top 1.1%
Ulcerative colitis: Recent advances in the understanding of disease pathogenesis
Ross J Porter, Rahul Kalla, Gwo‐Tzer Ho
301 citationsOpen access (CC-BY)doi:10.12688/f1000research.20805.1OpenAlex
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Inflammatory bowel diseases are common, complex, immune-mediated conditions with a sharply rising global prevalence. While major advances since 2000 have provided strong mechanistic clues implicating a de-regulation in the normal interaction among host genetics, immunity, microbiome, and the environment, more recent progress has generated entirely new hypotheses and also further refined older disease concepts. In this review, we focus specifically on these novel developments in the pathogenesis of ulcerative colitis.
- 14top 1.2%
Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants
Maxime Ulysse Garcia, Szilveszter Juhos, Malin Larsson, Pall I. Olason, Marcel Martin and 9 more
271 citationsOpen access (CC-BY)doi:10.12688/f1000research.16665.1OpenAlex
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Whole-genome sequencing (WGS) is a fundamental technology for research to advance precision medicine, but the limited availability of portable and user-friendly workflows for WGS analyses poses a major challenge for many research groups and hampers scientific progress. Here we present Sarek, an open-source workflow to detect germline variants and somatic mutations based on sequencing data from WGS, whole-exome sequencing (WES), or gene panels. Sarek features (i) easy installation, (ii) robust portability across different computer environments, (iii) comprehensive documentation, (iv) transparent and easy-to-read code, and (v) extensive quality metrics reporting. Sarek is implemented in the Nextflow workflow language and supports both Docker and Singularity containers as well as Conda environments, making it ideal for easy deployment on any POSIX-compatible computers and cloud compute environments. Sarek follows the GATK best-practice recommendations for read alignment and pre-processing, and includes a wide range of software for the identification and annotation of germline and…
- 15top 1.3%
A systematic performance evaluation of clustering methods for single-cell RNA-seq data
Angelo Duò, Mark D. Robinson, Charlotte Soneson
194 citationsOpen access (CC-BY)doi:10.12688/f1000research.15666.3OpenAlex
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Subpopulation identification, usually via some form of unsupervised clustering, is a fundamental step in the analysis of many single-cell RNA-seq data sets. This has motivated the development and application of a broad range of clustering methods, based on various underlying algorithms. Here, we provide a systematic and extensible performance evaluation of 14 clustering algorithms implemented in R, including both methods developed explicitly for scRNA-seq data and more general-purpose methods. The methods were evaluated using nine publicly available scRNA-seq data sets as well as three simulations with varying degree of cluster separability. The same feature selection approaches were used for all methods, allowing us to focus on the investigation of the performance of the clustering algorithms themselves. We evaluated the ability of recovering known subpopulations, the stability and the run time and scalability of the methods. Additionally, we investigated whether the performance could be improved by generating consensus partitions from multiple individual clustering methods. We…
- 16top 1.3%
Recent advances in managing and understanding Stevens-Johnson syndrome and toxic epidermal necrolysis
Akito Hasegawa, Riichiro Abe
189 citationsOpen access (CC-BY)doi:10.12688/f1000research.24748.1OpenAlex
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Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are life-threatening diseases characterized by detachment of the epidermis and mucous membrane. SJS/TEN are considered to be on the same spectrum of diseases with different severities. They are classified by the percentage of skin detachment area. SJS/TEN can also cause several complications in the liver, kidneys, and respiratory tract. The pathogenesis of SJS/TEN is still unclear. Although it is difficult to diagnose early stage SJS/TEN, biomarkers for diagnosis or severity prediction have not been well established. Furthermore, optimal therapeutic options for SJS/TEN are still controversial. Several drugs, such as carbamazepine and allopurinol, are reported to have a strong relationship with a specific human leukocyte antigen (HLA) type. This relationship differs between different ethnicities. Recently, the usefulness of HLA screening before administering specific drugs to decrease the incidence of SJS/TEN has been investigated. Skin detachment in SJS/TEN skin lesions is caused by extensive epidermal cell death,…
- 17top 1.4%
The essentials of developmental apoptosis
Anne Kathrin Voss, Andreas Strasser
184 citationsOpen access (CC-BY)doi:10.12688/f1000research.21571.1OpenAlex
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Apoptotic cells are commonly observed in a broad range of tissues during mammalian embryonic and fetal development. Specific requirements and functions of programmed cell death were inferred from early observations. These inferences did not hold up to functional proof for a requirement of apoptosis for normal tissue development in all cases. In this review, we summarize how the appraisal of the importance of developmental apoptosis has changed over the years, in particular with detailed functional assessment, such as by using gene-targeted mice lacking essential initiators or mediators of apoptosis. In recent years, the essentials of developmental apoptosis have emerged. We hypothesize that apoptosis is predominantly required to balance cell proliferation. The two interdependent processes-cell proliferation and apoptosis-together more powerfully regulate tissue growth than does each process alone. We proposed that this ensures that tissues and cell populations attain the appropriate size that allows fusion in the body midline and retain the size of cavities once formed. In addition,…
- 18top 1.5%
A review of open source ventilators for COVID-19 and future pandemics
Joshua M. Pearce
181 citationsOpen access (CC-BY-SA)doi:10.12688/f1000research.22942.1OpenAlex
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Coronavirus Disease 2019 (COVID-19) threatens to overwhelm our medical infrastructure at the regional level causing spikes in mortality rates because of shortages of critical equipment, like ventilators. Fortunately, with the recent development and widespread deployment of small-scale manufacturing technologies like RepRap-class 3-D printers and open source microcontrollers, mass distributed manufacturing of ventilators has the potential to overcome medical supply shortages. In this study, after providing a background on ventilators, the academic literature is reviewed to find the existing and already openly-published, vetted designs for ventilators systems. These articles are analyzed to determine if the designs are open source both in spirit (license) as well as practical details (e.g. possessing accessible design source files, bill of materials, assembly instructions, wiring diagrams, firmware and software as well as operation and calibration instructions). Next, the existing Internet and gray literature are reviewed for open source ventilator projects and designs. The results of…
- 19top 1.6%
Management strategies for the treatment and prevention of postoperative/postdischarge nausea and vomiting: an updated review
Ofelia Loani Elvir-Lazo, Paul F. White, Roya Yumul, Hillenn Cruz Eng
180 citationsOpen access (CC-BY)doi:10.12688/f1000research.21832.1OpenAlex
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Postoperative nausea and vomiting (PONV) and postdischarge nausea and vomiting (PDNV) remain common and distressing complications following surgery. The routine use of opioid analgesics for perioperative pain management is a major contributing factor to both PONV and PDNV after surgery. PONV and PDNV can delay discharge from the hospital or surgicenter, delay the return to normal activities of daily living after discharge home, and increase medical costs. The high incidence of PONV and PDNV has persisted despite the introduction of many new antiemetic drugs (and more aggressive use of antiemetic prophylaxis) over the last two decades as a result of growth in minimally invasive ambulatory surgery and the increased emphasis on earlier mobilization and discharge after both minor and major surgical procedures (e.g. enhanced recovery protocols). Pharmacologic management of PONV should be tailored to the patient's risk level using the validated PONV and PDNV risk-scoring systems to encourage cost-effective practices and minimize the potential for adverse side effects due to drug…
- 20top 1.7%
The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: a living systematic review
Ann Mary John, Chukwudi Okolie, Emily Eyles, Roger Thomas Webb, Lena Schmidt and 10 more
178 citationsOpen access (CC-BY)doi:10.12688/f1000research.25522.1OpenAlex
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Background: The COVID-19 pandemic has caused morbidity and mortality, as well as, widespread disruption to people’s lives and livelihoods around the world. Given the health and economic threats posed by the pandemic to the global community, there are concerns that rates of suicide and suicidal behaviour may rise during and in its aftermath. Our living systematic review (LSR) focuses on suicide prevention in relation to COVID-19, with this iteration synthesising relevant evidence up to June 7 th 2020. Method: Automated daily searches feed into a web-based database with screening and data extraction functionalities. Eligibility criteria include incidence/prevalence of suicidal behaviour, exposure-outcome relationships and effects of interventions in relation to the COVID-19 pandemic. Outcomes of interest are suicide, self-harm or attempted suicide and suicidal thoughts. No restrictions are placed on language or study type, except for single-person case reports. Results: Searches identified 2070 articles, 29 (28 studies) met our inclusion criteria, of which 14 articles were research…
- 21top 1.7%
Recent developments in the treatment of Parkinson's Disease
Thomas B. Stoker, Roger A. Barker
167 citationsOpen access (CC-BY)doi:10.12688/f1000research.25634.1OpenAlex
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Parkinson's disease (PD) is a common neurodegenerative disease typified by a movement disorder consisting of bradykinesia, rest tremor, rigidity, and postural instability. Treatment options for PD are limited, with most of the current approaches based on restoration of dopaminergic tone in the striatum. However, these do not alter disease course and do not treat the non-dopamine-dependent features of PD such as freezing of gait, cognitive impairment, and other non-motor features of the disorder, which often have the greatest impact on quality of life. As understanding of PD pathogenesis grows, novel therapeutic avenues are emerging. These include treatments that aim to control the symptoms of PD without the problematic side effects seen with currently available treatments and those that are aimed towards slowing pathology, reducing neuronal loss, and attenuating disease course. In this latter regard, there has been much interest in drug repurposing (the use of established drugs for a new indication), with many drugs being reported to affect PD-relevant intracellular processes. This…
- 22top 1.8%
Predictors of COVID-19 severity: a systematic review and meta-analysis
Mudatsir Mudatsir, Jonny Karunia Fajar, Laksmi Wulandari, Gatot Soegiarto, Muhammad Ilmawan and 25 more
162 citationsOpen access (CC-BY)doi:10.12688/f1000research.26186.1OpenAlex
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Background : The unpredictability of the progression of coronavirus disease 2019 (COVID-19) may be attributed to the low precision of the tools used to predict the prognosis of this disease. Objective : To identify the predictors associated with poor clinical outcomes in patients with COVID-19. Methods : Relevant articles from PubMed, Embase, Cochrane, and Web of Science were searched and extracted as of April 5, 2020. Data of interest were collected and evaluated for their compatibility for the meta-analysis. Cumulative calculations to determine the correlation and effect estimates were performed using the Z test. Results : In total, 19 papers recording 1,934 mild and 1,644 severe cases of COVID-19 were included. Based on the initial evaluation, 62 potential risk factors were identified for the meta-analysis. Several comorbidities, including chronic respiratory disease, cardiovascular disease, diabetes mellitus, and hypertension were observed more frequent among patients with severe COVID-19 than with the mild ones. Compared to the mild form, severe COVID-19 was associated with…
- 23top 1.9%
Interleukin-6 signalling in health and disease
Stefan Rose‐John
160 citationsOpen access (CC-BY)doi:10.12688/f1000research.26058.1OpenAlex
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Biochemically, interleukin-6 belongs to the class of four-helical cytokines. The cytokine can be synthesised and secreted by many cells. It acts via a cell surface-expressed interleukin-6 receptor, which is not signalling competent. This receptor, when complexed with interleukin-6, associates with the signalling receptor glycoprotein 130 kDa (gp130), which becomes dimerised and initiates intracellular signalling via the Janus kinase/signal transducer and activator of transcription and rat sarcoma proto oncogene/mitogen-activated protein kinase/phosphoinositide-3 kinase pathways. Physiologically, interleukin-6 is involved in the regulation of haematopoiesis and the coordination of the innate and acquired immune systems. Additionally, interleukin-6 plays an important role in the regulation of metabolism, in neural development and survival, and in the development and maintenance of various cancers. Although interleukin-6 is mostly regarded as a pro-inflammatory cytokine, there are numerous examples of protective and regenerative functions of this cytokine. This review will explain the…
- 24top 2%
Recent advances in understanding mitochondrial genome diversity
Rafael Zardoya
160 citationsOpen access (CC-BY)doi:10.12688/f1000research.21490.1OpenAlex
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Ever since its discovery, the double-stranded DNA contained in the mitochondria of eukaryotes has fascinated researchers because of its bacterial endosymbiotic origin, crucial role in encoding subunits of the respiratory complexes, compact nature, and specific inheritance mechanisms. In the last few years, high-throughput sequencing techniques have accelerated the sequencing of mitochondrial genomes (mitogenomes) and uncovered the great diversity of organizations, gene contents, and modes of replication and transcription found in living eukaryotes. Some early divergent lineages of unicellular eukaryotes retain certain synteny and gene content resembling those observed in the genomes of alphaproteobacteria (the inferred closest living group of mitochondria), whereas others adapted to anaerobic environments have drastically reduced or even lost the mitogenome. In the three main multicellular lineages of eukaryotes, mitogenomes have pursued diverse evolutionary trajectories in which different types of molecules (circular versus linear and single versus multipartite), gene structures…
- 25top 2.1%
An overview of mammalian p38 mitogen-activated protein kinases, central regulators of cell stress and receptor signaling
Jiahuai Han, Jianfeng Wu, John Silke
159 citationsOpen access (CC-BY)doi:10.12688/f1000research.22092.1OpenAlex
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The p38 family is a highly evolutionarily conserved group of mitogen-activated protein kinases (MAPKs) that is involved in and helps co-ordinate cellular responses to nearly all stressful stimuli. This review provides a succinct summary of multiple aspects of the biology, role, and substrates of the mammalian family of p38 kinases. Since p38 activity is implicated in inflammatory and other diseases, we also discuss the clinical implications and pharmaceutical approaches to inhibit p38.
- 26top 2.2%
Current status of global research on novel coronavirus disease (COVID-19): a bibliometric analysis and knowledge mapping
Md Mahbub Hossain
155 citationsOpen access (CC-BY)doi:10.12688/f1000research.23690.1OpenAlex
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Background: Novel coronavirus disease (COVID-19) is a major global health concern due to its pathogenicity and widespread distribution around the world. Despite a growing interest, little is known about the current state of research on COVID-19. This bibliometric study evaluated the contemporary scientific literature to assess the evolution of knowledge on COVID-19, identify the leading research stakeholders, and analyze the conceptual areas of knowledge development in this domain. Methods: Bibliometric data on COVID-19 related studies published until April 1, 2020, were retrieved from Web of Science core collection. Further, a quantitative evaluation and visualizations of knowledge areas in COVID-19 research were created by statistical and text-mining approaches using bibliometric tools and R software. Results: A total of 422 citations were retained in this study, including journal articles, reviews, letters, and other publications. The mean number of authors and citations per document was 3.91 and 2.47, respectively. Also, the top ten articles, authors, and journals were…
- 27top 2.2%
Recent advances in treating oesophageal cancer
Kazuto Harada, Jane Elizabeth Rogers, Masaaki Iwatsuki, Kohei Yamashita, Hideo Baba and 1 more
143 citationsOpen access (CC-BY)doi:10.12688/f1000research.22926.1OpenAlex
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Esophageal cancer (EC) is an aggressive malignancy with an increasing incidence and a poor prognosis. EC is histologically divided into two major categories: adenocarcinoma (EAC) and squamous cell carcinoma (ESCC). EAC and ESCC are molecularly different and therefore treatments should reflect the respective histological subtype. Combined modality therapy is needed for localized EC. When EC is advanced (stage 4), systemic therapy is the mainstay treatment for palliation. For localized EC, several strategies are considered standard, and more trials are necessary to determine a unified and more effective approach. The management for advanced EC is slowly evolving as immunotherapy is showing some promise for ESCC, but more data from ongoing studies are anticipated. Treatment advances will be based on high-definition genomic investigation of individual tumors. Herein, we review the contemporary trends in diagnosing and treating EAC and ESCC.
- 28top 2.3%
Genomic and protein structure modelling analysis depicts the origin and pathogenicity of 2019-nCoV, a new coronavirus which caused a pneumonia outbreak in Wuhan, China
Ning Dong, Xuemei Yang, Lianwei Ye, Kaichao Chen, Edward Wai‐Chi Chan and 2 more
142 citationsOpen access (CC-BY)doi:10.12688/f1000research.22357.1OpenAlex
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Abstract Detailed genomic and structure-based analysis of a new coronavirus, namely 2019-nCoV, showed that the new virus is a new type of bat coronavirus and is genetically fairly distant from the human SARS coronavirus. Structure analysis of the spike (S) protein of this new virus showed that its S protein only binds weakly to the ACE2 receptor on human cells whereas the human SARS coronavirus exhibits strongly affinity to the ACE receptor. These findings suggest that the new virus does not readily transmit between humans and should theoretically not able to cause very serious human infection. These data are important to guide design of infection control policy and inform the public on the nature of threat imposed by 2019-nCov when results of direct laboratory tests on this virus are not expected to be available in the near future.
- 29top 2.4%
Bleach correction ImageJ plugin for compensating the photobleaching of time-lapse sequences
Kota Miura
137 citationsOpen access (CC-BY)doi:10.12688/f1000research.27171.1OpenAlex
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During the capturing of the time-lapse sequence of fluorescently labeled samples, fluorescence intensity exhibits decays. This phenomenon is known as 'photobleaching' and is a widely known problem in imaging in life sciences. The photobleaching can be attenuated by tuning the imaging set-up, but when such adjustments only partially work, the image sequence can be corrected for the loss of intensity in order to precisely segment the target structure or to quantify true intensity dynamics. We implemented an ImageJ plugin that allows the user to compensate for the photobleaching to estimate the non-bleaching condition with choice of three different algorithms: simple ratio, exponential fitting, and histogram matching methods. The histogram matching method is a novel algorithm for photobleaching correction. This article presents details and characteristics of each algorithm based on application to actual image sequences.
- 30top 2.5%
‘The long tail of Covid-19’ - The detection of a prolonged inflammatory response after a SARS-CoV-2 infection in asymptomatic and mildly affected patients
Ivan Doykov, Jenny Hällqvist, Kimberly C Gilmour, Louis Grandjean, Kevin A. Mills and 1 more
137 citationsOpen access (CC-BY)doi:10.12688/f1000research.27287.1OpenAlex
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‘Long Covid’, or medical complications associated with post SARS-CoV-2 infection, is a significant post-viral complication that is being more and more commonly reported in patients. Therefore, there is an increasing need to understand the disease mechanisms, identify drug targets and inflammatory processes associated with a SARS-CoV-2 infection. To address this need, we created a targeted mass spectrometry based multiplexed panel of 96 immune response associated proteins. We applied the multiplex assay to a cohort of serum samples from asymptomatic and moderately affected patients. All patients had tested positive for a SARS-CoV-2 infection by PCR and were determined to be subsequently positive for antibodies. Even 40-60 days post-viral infection, we observed a significant remaining inflammatory response in all patients. Proteins that were still affected were associated with the anti-inflammatory response and mitochondrial stress. This indicates that biochemical and inflammatory pathways within the body can remain perturbed long after SARS-CoV-2 infections have subsided even in…
- 31top 2.6%
clustifyr: an R package for automated single-cell RNA sequencing cluster classification
Rui Fu, Austin E. Gillen, Ryan M. Sheridan, Chengzhe Tian, Michelle Daya and 3 more
135 citationsOpen access (CC-BY)doi:10.12688/f1000research.22969.1OpenAlex
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ABSTRACT Background In single-cell RNA sequencing (scRNA-seq) analysis, assignment of likely cell types remains a time-consuming, error-prone, and biased process. Current packages for identity assignment use limited types of reference data, and often have rigid data structure requirements. As such, a more flexible tool, capable of handling multiple types of reference data and data structures, would be beneficial. Findings To address difficulties in cluster identity assignment, we developed the clustifyr R package. The package leverages external datasets, including gene expression profiles from scRNA-seq, bulk RNA-seq, microarray expression data, and/or signature gene lists, to assign likely cell types. We benchmark various parameters of a correlation-based approach, and also implement a variety of gene list enrichment methods. By providing tools for exploratory data analysis, we demonstrate the feasibility of a simple and effective data-driven approach for cell type assignment in scRNA-seq cell clusters. Conclusions clustifyr is a lightweight and effective cell type assignment tool…
- 32top 2.6%
Visualize omics data on networks with Omics Visualizer, a Cytoscape App
Marc Legeay, Nadezhda T. Doncheva, John H. Morris, Lars Juhl Jensen
129 citationsOpen access (CC-BY)doi:10.12688/f1000research.22280.1OpenAlex
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Cytoscape is an open-source software used to analyze and visualize biological networks. In addition to being able to import networks from a variety of sources, Cytoscape allows users to import tabular node data and visualize it onto networks. Unfortunately, such data tables can only contain one row of data per node, whereas omics data often have multiple rows for the same gene or protein, representing different post-translational modification sites, peptides, splice isoforms, or conditions. Here, we present a new app, Omics Visualizer, that allows users to import data tables with several rows referring to the same node, connect them to one or more networks, and visualize the connected data onto networks. Omics Visualizer uses the Cytoscape enhancedGraphics app to show the data either in the nodes (pie visualization) or around the nodes (donut visualization), where the colors of the slices represent the imported values. If the user does not provide a network, the app can retrieve one from the STRING database using the Cytoscape stringApp. The Omics Visualizer app is freely available…
- 33top 2.7%
Erythropoietin regulation of red blood cell production: from bench to bedside and back
Senthil Velan Bhoopalan, Lily Jun-shen Huang, Mitchell J. Weiss
121 citationsOpen access (CC-BY)doi:10.12688/f1000research.26648.1OpenAlex
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More than 50 years of efforts to identify the major cytokine responsible for red blood cell (RBC) production (erythropoiesis) led to the identification of erythropoietin (EPO) in 1977 and its receptor (EPOR) in 1989, followed by three decades of rich scientific discovery. We now know that an elaborate oxygen-sensing mechanism regulates the production of EPO, which in turn promotes the maturation and survival of erythroid progenitors. Engagement of the EPOR by EPO activates three interconnected signaling pathways that drive RBC production via diverse downstream effectors and simultaneously trigger negative feedback loops to suppress signaling activity. Together, the finely tuned mechanisms that drive endogenous EPO production and facilitate its downstream activities have evolved to maintain RBC levels in a narrow physiological range and to respond rapidly to erythropoietic stresses such as hypoxia or blood loss. Examination of these pathways has elucidated the genetics of numerous inherited and acquired disorders associated with deficient or excessive RBC production and generated…
- 34top 2.8%
Astrocytogenesis: where, when, and how
Ekin Su Akdemir, Anna Yu-Szu Huang, Benjamin Deneen
117 citationsOpen access (CC-BY)doi:10.12688/f1000research.22405.1OpenAlex
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Astrocytes are the most abundant cell type in the central nervous system and have diverse functions in blood-brain barrier maintenance, neural circuitry formation and function, and metabolic regulation. To better understand the diverse roles of astrocytes, we will summarize what is known about astrocyte development and the challenges limiting our understanding of this process. We will also discuss new approaches and technologies advancing the field.
- 35top 2.9%
Recent advances in understanding primary ovarian insufficiency
Victoria G. Wesevich, Amanada N. Kellen, Lubna Pal
114 citationsOpen access (CC-BY)doi:10.12688/f1000research.26423.1OpenAlex
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Primary ovarian insufficiency (POI) is an uncommon yet devastating occurrence that results from a premature depletion of the ovarian pool of primordial follicles. Our understanding of both putative and plausible mechanisms underlying POI, previously considered to be largely "idiopathic", has been furthered over the past several years, largely due to advances in the field of genetics and through expansion of translational models for experimental research. In this review, our goal is to familiarize the multidisciplinary readers of the F1000 platform with the strides made in the field of reproductive medicine that hold both preventative and therapeutic implications for those women who are at risk for or who have POI.
- 36top 3%
The genetics of intellectual disability: advancing technology and gene editing
Muhammad Ilyas, Asif Mir, Stéphanie Efthymiou, Henry Houlden
112 citationsOpen access (CC-BY)doi:10.12688/f1000research.16315.1OpenAlex
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Intellectual disability (ID) is a neurodevelopmental condition affecting 1–3% of the world’s population. Genetic factors play a key role causing the congenital limitations in intellectual functioning and adaptive behavior. The heterogeneity of ID makes it more challenging for genetic and clinical diagnosis, but the advent of large-scale genome sequencing projects in a trio approach has proven very effective. However, many variants are still difficult to interpret. A combined approach of next-generation sequencing and functional, electrophysiological, and bioinformatics analysis has identified new ways to understand the causes of ID and help to interpret novel ID-causing genes. This approach offers new targets for ID therapy and increases the efficiency of ID diagnosis. The most recent functional advancements and new gene editing techniques involving the use of CRISPR–Cas9 allow for targeted editing of DNA in in vitro and more effective mammalian and human tissue-derived disease models. The expansion of genomic analysis of ID patients in diverse and ancient populations can reveal…
- 37top 3%
Recent advances in the role of plant metabolites in shaping the root microbiome
Richard P. Jacoby, Li Chen, Melina Schwier, Anna Kopřivová, Stanislav Kopřiva
107 citationsOpen access (CC-BY)doi:10.12688/f1000research.21796.1OpenAlex
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The last decade brought great progress in describing the repertoire of microbes associated with plants and identifying principles of their interactions. Metabolites exuded by plant roots have been considered candidates for the mechanisms by which plants shape their root microbiome. Here, we review the evidence for several plant metabolites affecting plant interaction with microbes belowground. We also discuss the development of new approaches to study the mechanisms of such interaction that will help to elucidate the metabolic networks in the rhizosphere.
- 38top 3.1%
The challenges and mental health issues of academic trainees
Renee Eleftheriades, Clare Fiala, Maria Diamandis Pasic
106 citationsOpen access (CC-BY)doi:10.12688/f1000research.21066.1OpenAlex
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In the last decade, mental health issues have come to the foreground in academia. Literature surrounding student mental health continues to grow as universities try to implement wellness services and study the mental health of their students. Studies vary greatly in terms of measurement tools, timeframe, sample demographics, as well as the chosen threshold of symptom severity for diagnosis. This review attempts to summarize, contextualize and synthesize papers that pertain to the challenges faced by academic trainees at the undergraduate, graduate and post-graduate level. The evidence for, and against, the common claim of increasing prevalence of mental health issues among students in recent years is discussed. While some studies support this claim, it is difficult to reach a definitive conclusion due to numerous confounding factors such as increased help-seeking behaviour, greater awareness of mental health issues and weak methodology. The prevalence of depression, anxiety, suicidal and self-injurious behaviour, distress and general mental illness diagnoses are discussed. Other…
- 39top 3.2%
Fear conditioning and the basolateral amygdala
Yajie Sun, Helen M. Gooch, Pankaj Sah
104 citationsOpen access (CC-BY)doi:10.12688/f1000research.21201.1OpenAlex
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Fear is a response to impending threat that prepares a subject to make appropriate defensive responses, whether to freeze, fight, or flee to safety. The neural circuits that underpin how subjects learn about cues that signal threat, and make defensive responses, have been studied using Pavlovian fear conditioning in laboratory rodents as well as humans. These studies have established the amygdala as a key player in the circuits that process fear and led to a model where fear learning results from long-term potentiation of inputs that convey information about the conditioned stimulus to the amygdala. In this review, we describe the circuits in the basolateral amygdala that mediate fear learning and its expression as the conditioned response. We argue that while the evidence linking synaptic plasticity in the basolateral amygdala to fear learning is strong, there is still no mechanism that fully explains the changes that underpin fear conditioning.
- 40top 3.3%
Discipline-specific open access publishing practices and barriers to change: an evidence-based review
Anna Severin, Matthias Egger, Martin Paul Eve, Daniel Hürlimann
99 citationsOpen access (CC-BY)doi:10.12688/f1000research.17328.2OpenAlex
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Background: Many of the discussions surrounding Open Access (OA) revolve around how it affects publishing practices across different academic disciplines. It was a long-held view that it would be only a matter of time before all disciplines fully and relatively homogeneously implemented OA. Recent large-scale bibliometric studies show, however, that the uptake of OA differs substantially across disciplines. We aimed to answer two questions: First, how do different disciplines adopt and shape OA publishing practices? Second, what discipline-specific barriers to and potentials for OA can be identified? Methods: In a first step, we identified and synthesized relevant bibliometric studies that assessed OA prevalence and publishing patterns across disciplines. In a second step, and adopting a social shaping of technology perspective, we studied evidence on the socio-technical forces that shape OA publishing practices. We examined a variety of data sources, including, but not limited to, publisher policies and guidelines, OA mandates and policies and author surveys. Results: Over the last…
- 41top 3.4%
Recent advances in understanding the molecular basis of melanogenesis in melanocytes
Norihiko Ohbayashi, Mitsunori Fukuda
97 citationsOpen access (CC-BY)doi:10.12688/f1000research.24625.1OpenAlex
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Melanin pigments are responsible for human skin and hair color, and they protect the body from harmful ultraviolet light. The black and brown melanin pigments are synthesized in specialized lysosome-related organelles called melanosomes in melanocytes. Mature melanosomes are transported within melanocytes and transferred to adjacent keratinocytes, which constitute the principal part of human skin. The melanosomes are then deposited inside the keratinocytes and darken the skin (a process called tanning). Owing to their dark color, melanosomes can be seen easily with an ordinary light microscope, and melanosome research dates back approximately 150 years; since then, biochemical studies aimed at isolating and purifying melanosomes have been conducted. Moreover, in the last two decades, hundreds of molecules involved in regulating melanosomal functions have been identified by analyses of the genes of coat-color mutant animals and patients with genetic diseases characterized by pigment abnormalities, such as hypopigmentation. In recent years, dynamic analyses by more precise microscopic…
- 42top 3.4%
Recent advances in understanding resistance exercise training-induced skeletal muscle hypertrophy in humans
Sophie Joanisse, Changhyun Lim, James McKendry, Jonathan C. Mcleod, Tanner Stokes and 1 more
93 citationsOpen access (CC-BY)doi:10.12688/f1000research.21588.1OpenAlex
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Skeletal muscle plays a pivotal role in the maintenance of physical and metabolic health and, critically, mobility. Accordingly, strategies focused on increasing the quality and quantity of skeletal muscle are relevant, and resistance exercise is foundational to the process of functional hypertrophy. Much of our current understanding of skeletal muscle hypertrophy can be attributed to the development and utilization of stable isotopically labeled tracers. We know that resistance exercise and sufficient protein intake act synergistically and provide the most effective stimuli to enhance skeletal muscle mass; however, the molecular intricacies that underpin the tremendous response variability to resistance exercise-induced hypertrophy are complex. The purpose of this review is to discuss recent studies with the aim of shedding light on key regulatory mechanisms that dictate hypertrophic gains in skeletal muscle mass. We also aim to provide a brief up-to-date summary of the recent advances in our understanding of skeletal muscle hypertrophy in response to resistance training in humans.
- 43top 3.5%
Precision medicine in inflammatory bowel disease: concept, progress and challenges
Simon Borg‐Bartolo, Ray Kiran Boyapati, Jack Satsangi, Rahul Kalla
90 citationsOpen access (CC-BY)doi:10.12688/f1000research.20928.1OpenAlex
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Crohn's disease and ulcerative colitis are increasingly prevalent, relapsing and remitting inflammatory bowel diseases (IBDs) with variable disease courses and complications. Their aetiology remains unclear but current evidence shows an increasingly complex pathophysiology broadly centring on the genome, exposome, microbiome and immunome. Our increased understanding of disease pathogenesis is providing an ever-expanding arsenal of therapeutic options, but these can be expensive and patients can lose response or never respond to certain therapies. Therefore, there is now a growing need to personalise therapies on the basis of the underlying disease biology and a desire to shift our approach from "reactive" management driven by disease complications to "proactive" care with an aim to prevent disease sequelae. Precision medicine is the tailoring of medical treatment to the individual patient, encompassing a multitude of data-driven (and multi-omic) approaches to foster accurate clinical decision-making. In IBD, precision medicine would have significant benefits, enabling timely therapy…
- 44top 3.6%
Research advances in plant–insect molecular interaction
Chun‐Yu Chen, Ying‐Bo Mao
89 citationsOpen access (CC-BY)doi:10.12688/f1000research.21502.1OpenAlex
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Acute and precise signal perception and transduction are essential for plant defense against insects. Insect elicitors-that is, the biologically active molecules from insects' oral secretion (which contains regurgitant and saliva), frass, ovipositional fluids, and the endosymbionts-are recognized by plants and subsequently induce a local or systematic defense response. On the other hand, insects secrete various types of effectors to interfere with plant defense at multiple levels for better adaptation. Jasmonate is a main regulator involved in plant defense against insects and integrates with multiple pathways to make up the intricate defense network. Jasmonate signaling is strictly regulated in plants to avoid the hypersensitive defense response and seems to be vulnerable to assault by insect effectors at the same time. Here, we summarize recently identified elicitors, effectors, and their target proteins in plants and discuss their underlying molecular mechanisms.
- 45top 3.7%
Automated cell tracking using StarDist and TrackMate
Elnaz Fazeli, Nathan H. Roy, Gautier Follain, Romain F. Laine, Lucas von Chamier and 4 more
87 citationsOpen access (CC-BY)doi:10.12688/f1000research.27019.1OpenAlex
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The ability of cells to migrate is a fundamental physiological process involved in embryonic development, tissue homeostasis, immune surveillance, and wound healing. Therefore, the mechanisms governing cellular locomotion have been under intense scrutiny over the last 50 years. One of the main tools of this scrutiny is live-cell quantitative imaging, where researchers image cells over time to study their migration and quantitatively analyze their dynamics by tracking them using the recorded images. Despite the availability of computational tools, manual tracking remains widely used among researchers due to the difficulty setting up robust automated cell tracking and large-scale analysis. Here we provide a detailed analysis pipeline illustrating how the deep learning network StarDist can be combined with the popular tracking software TrackMate to perform 2D automated cell tracking and provide fully quantitative readouts. Our proposed protocol is compatible with both fluorescent and widefield images. It only requires freely available and open-source software (ZeroCostDL4Mic and Fiji),…
- 46top 3.8%
Cell plasticity in cancer cell populations
Shensi Shen, Jean Clairambault
87 citationsOpen access (CC-BY)doi:10.12688/f1000research.24803.1OpenAlex
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In this review, we propose a recension of biological observations on plasticity in cancer cell populations and discuss theoretical considerations about their mechanisms.
- 47top 3.8%
Recent advances in epilepsy genomics and genetic testing
Malavika Hebbar, Heather C. Mefford
84 citationsOpen access (CC-BY)doi:10.12688/f1000research.21366.1OpenAlex
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Developmental and epileptic encephalopathies (DEEs) are a group of severe, early onset epilepsies characterized by refractory seizures, developmental delay or regression associated with ongoing epileptic activity, and generally poor prognosis. DEE is genetically and phenotypically heterogeneous, and there is a plethora of genetic testing options to investigate the rapidly growing list of epilepsy genes. However, more than 50% of patients with DEE remain without a genetic diagnosis despite state-of-the-art genetic testing. In this review, we discuss the major advances in epilepsy genomics that have surfaced in recent years. The goal of this review is to reach a larger audience and build a better understanding of pathogenesis and genetic testing options in DEE.
- 48top 3.9%
Coping strategies of students for anxiety during the COVID-19 pandemic in China: a cross-sectional study
Mohammad Nurunnabi, Syed Far Abid Hossain, Karuthan Chinna, Sheela Sundarasen, Heba Bakr Khoshaim and 4 more
81 citationsOpen access (CC-BY)doi:10.12688/f1000research.25557.1OpenAlex
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Background: COVID-19 has severely affected university students everywhere in the world. Due to fear of infection, government and local authorities in China immediately closed academic institutions and tried to find survival techniques to cope with market turbulence. COVID-19 was present in China at the end of 2019. However, little attention has been paid by researchers to coping strategies during the COVID-19 pandemic, and few measures were taken to assess the coping strategies of university students, specifically following the closure of their institutions. To address this gap, this study attempted to discover the coping strategies of Chinese students during the COVID-19 pandemic in China. Methods: We conducted an online survey using a semi-structured questionnaire with a simple random sampling technique and received 559 responses. The survey questions captured information about students’ lives during the COVID-19 outbreak, actions to control anxiety, and what students care about during the pandemic. The associations between coping strategies used and levels of anxiety were tested…
- 49top 4%
In silico identification of vaccine targets for 2019-nCoV
Chloe Hyun-Jung Lee, Hashem Koohy
79 citationsOpen access (CC-BY)doi:10.12688/f1000research.22507.1OpenAlex
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Background: The newly identified coronavirus known as 2019-nCoV has posed a serious global health threat. According to the latest report (18-February-2020), it has infected more than 72,000 people globally and led to deaths of more than 1,016 people in China. Methods: The 2019 novel coronavirus proteome was aligned to a curated database of viral immunogenic peptides. The immunogenicity of detected peptides and their binding potential to HLA alleles was predicted by immunogenicity predictive models and NetMHCpan 4.0. Results: We report in silico identification of a comprehensive list of immunogenic peptides that can be used as potential targets for 2019 novel coronavirus (2019-nCoV) vaccine development. First, we found 28 nCoV peptides identical to Severe acute respiratory syndrome-related coronavirus (SARS CoV) that have previously been characterized immunogenic by T cell assays. Second, we identified 48 nCoV peptides having a high degree of similarity with immunogenic peptides deposited in The Immune Epitope Database (IEDB). Lastly, we conducted a de novo search of 2019-nCoV 9-mer…
- 50top 4.1%
The third model of Bax/Bak activation: a Bcl-2 family feud finally resolved?
Xu Luo, Katelyn L. O’Neill, Kai Huang
77 citationsOpen access (CC-BY)doi:10.12688/f1000research.25607.1OpenAlex
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Bax and Bak, two functionally similar, pro-apoptotic proteins of the Bcl-2 family, are known as the gateway to apoptosis because of their requisite roles as effectors of mitochondrial outer membrane permeabilization (MOMP), a major step during mitochondria-dependent apoptosis. The mechanism of how cells turn Bax/Bak from inert molecules into fully active and lethal effectors had long been the focal point of a major debate centered around two competing, but not mutually exclusive, models: direct activation and indirect activation. After intensive research efforts for over two decades, it is now widely accepted that to initiate apoptosis, some of the BH3-only proteins, a subclass of the Bcl-2 family, directly engage Bax/Bak to trigger their conformational transformation and activation. However, a series of recent discoveries, using previously unavailable CRISPR-engineered cell systems, challenge the basic premise that undergirds the consensus and provide evidence for a novel and surprisingly simple model of Bax/Bak activation: the membrane (lipids)-mediated spontaneous model. This…
How to read this list
The cohort is every article, review and book chapter OpenAlex attributes to F1000Research with publication year 2020, excluding retracted works and paratext such as editorials and errata. The top 50 by citation count are listed; the percentile is the rank divided by the cohort size. 50 of the 50 entries have an abstract in OpenAlex. Counts were read on 29 October 2026 and will not be updated on this page, so a quoted rank stays verifiable. Full rules on the methodology page.
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