Carlos Eliel Maya Ramirez, Sajida Ashraf, Faiza Irshad, Tabish Rehman, Moayad Shahwan, Muhammad Sufyan
{"title":"Denovo Structural Modeling and B cell and T cell Epitope Prediction against SARS-COV-2 PLpro to Cure COVID-19: Vaccinomics Based Approach","authors":"Carlos Eliel Maya Ramirez, Sajida Ashraf, Faiza Irshad, Tabish Rehman, Moayad Shahwan, Muhammad Sufyan","doi":"10.26502/jbsb.5107062","DOIUrl":"https://doi.org/10.26502/jbsb.5107062","url":null,"abstract":"","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135952809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Role of Transcription Factors and MicroRNAs in Regulating Fibroblast Reprogramming in Wound Healing.","authors":"Vikrant Rai, Devendra K Agrawal","doi":"10.26502/jbsb.5107054","DOIUrl":"https://doi.org/10.26502/jbsb.5107054","url":null,"abstract":"<p><p>Non-healing diabetic foot ulcer, a chronic inflammatory disease, is a sizable clinical and economic burden to healthcare systems around the world. Chronic inflammation plays a critical role in the nonhealing pattern due to the arrest of the cellular response during wound healing in the inflammatory phase without progressing to the proliferative and remodeling phase. Fibroblasts play a critical role in all three phases of wound healing. Activation of fibroblasts in the presence of cytokines results in the formation of myofibroblast that contributes to extracellular matrix formation. Additionally, few studies documented the presence of inflammatory, angiogenic, and angiostatic fibroblast subpopulation during wound healing. Various studies have discussed the role of transcription factors and microRNA in regulating the transdifferentiation of fibroblast to myofibroblast, however, what factors regulate the reprogramming of fibroblast to inflammatory, angiogenic, and angiostatic phenotypes have not been clearly addressed in the literature. This critical review article addresses the role of transcription factors and microRNAs in regulating fibroblast to myofibroblast transdifferentiation followed by the prediction of transcription factors and microRNAs, based on the bioinformatics analysis, in regulating transdifferentiation of fibroblasts to inflammatory, angiogenic, and angiostatic subtypes. The results of in-silico networking revealed multiple new transcription factors and microRNAs and their interaction with specific markers on other fibroblasts suggesting their role in the regulation of fibroblast reprogramming.</p>","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"6 2","pages":"110-120"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358319/pdf/nihms-1910077.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9855107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Swarnim Shukla, Soham Choudhuri, Gayathri Priya Iragavarapu, B. Ghosh
{"title":"Supervised learning of Plasmodium falciparum life cycle stages using single-cell transcriptomes identifies crucial proteins","authors":"Swarnim Shukla, Soham Choudhuri, Gayathri Priya Iragavarapu, B. Ghosh","doi":"10.26502/jbsb.5107047","DOIUrl":"https://doi.org/10.26502/jbsb.5107047","url":null,"abstract":"","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69367935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Growing Liberality Observed in Primary Animal and Plant Cultures is Common to the Social Amoeba.","authors":"Norichika Ogata","doi":"10.26502/jbsb.5107045","DOIUrl":"https://doi.org/10.26502/jbsb.5107045","url":null,"abstract":"<p><p>Tissue culture environment liberates cells fromordinary laws of multi-cellular organisms. This liberation enables cells several behaviors, such as proliferation, dedifferentiation, acquisition of pluripotency, immortalization, and reprogramming. Recently, the quantitative value of cellular dedifferentiation and differentiation was defined as \"liberality\", which is measurable as Shannon entropy of numerical transcriptome data and Lempel-Zip complexity of nucleotide sequence transcriptome data. The increasing liberality induced by the culture environment had first been observed in animal cells and had reconfirmed in plant cells.The phenomena may be common across the kingdom, also in a social amoeba. We measured the liberality of the social amoeba which disaggregated from multicellular aggregates and transferred into a liquid medium.</p>","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"6 1","pages":"10-17"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078981/pdf/nihms-1881285.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9326056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Control of Expression Level in Human Genes: Observations with Apoptosis Genes and Genes Involved in B cell Development","authors":"Jay C. Brown","doi":"10.26502/jbsb.5107038","DOIUrl":"https://doi.org/10.26502/jbsb.5107038","url":null,"abstract":"","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69367864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Criteria for the Evaluation of Workflow Management Systems for Scientific Data Analysis","authors":"Aleyna Dilan Kiran, Mehmet Can Ay, J. Allmer","doi":"10.26502/jbsb.5107055","DOIUrl":"https://doi.org/10.26502/jbsb.5107055","url":null,"abstract":"Many scientific endeavors, such as molecular biology, have become dependent on big data and its analysis. For example, precision medicine depends on molecular measurements and data analysis per patient. Data analyses supporting medical decisions must be standardized and performed consistently across patients. While perhaps not life-threatening, data analyses in basic research have become increasingly complex. RNA-seq data, for example, entails a multi-step analysis ranging from quality assessment of the measurements to statistical analyses. Workflow management systems (WFMS) enable the development of data analysis workflows (WF), their reproduction, and their application to datasets of the same type. However, far more than a hundred WFMS are available, and there is no way to convert data analysis WFs among WFMS. Therefore, the initial choice of a WFMS is important as it entails a lock-in to the system. The reach in their particular field (number of citations) can be used as a proxy for selecting a WFMS, but of the about 25 WFMS we mention in this work, at least 5 have a large reach in scientific data analysis. Hence other criteria are needed to delineate among WFMS. By extracting such criteria from selected studies concerning WFMS and adding additional criteria, we arrived at five critical criteria: reproducibility, reusability, FAIRness, versioning support, and security. Another five criteria (providing a graphical user interface, WF flexibility, WF scalability, WF shareability, and computational transparency) we deemed important but not critical for the assessment of WFMS. We applied the criteria to the most cited WFMS in PubMed and found none that support all criteria. We hope that suggesting these criteria will spark a discussion on what features are important for WFMS in scientific data analysis and may lead to developing WFMS that fulfill such criteria.","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69367943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
H E Miller, D Montemayor, S Levy, K Sharma, B Frost, A J R Bishop
{"title":"RLSuite: An Integrative R-Loop Bioinformatics Framework.","authors":"H E Miller, D Montemayor, S Levy, K Sharma, B Frost, A J R Bishop","doi":"10.26502/jbsb.5107071","DOIUrl":"10.26502/jbsb.5107071","url":null,"abstract":"<p><p>We recently described the development of a database of 810 R-loop mapping datasets and used this data to conduct a meta-analysis of R-loops. R-loops are three-stranded nucleic acid structures containing RNA:DNA hybrids and we were able to verify that 30% of expressed genes have an associated R-loop in a location conserved manner.. Moreover, intergenic R-loops map to enhancers, super enhancers and with TAD domain boundaries. This work demonstrated that R-loop mapping via high-throughput sequencing can reveal novel insight into R-loop biology, however the analysis and quality control of these data is a non-trivial task for which few bioinformatic tools exist. Herein we describe RLSuite, an integrative R-loop bioinformatics framework for pre-processing, quality control, and downstream analysis of R-loop mapping data. RLSuite enables users to compare their data to hundreds of public datasets and generate a user-friendly analysis report for sharing with non-bioinformatician colleagues. Taken together, RLSuite is a novel analysis framework that should greatly benefit the emerging R-loop bioinformatics community in a rapidly expanding aspect of epigenetic control that is still poorly understood.</p>","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"6 4","pages":"364-378"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10827345/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139643520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yukun Tan, Vakul Mohanty, Shaoheng Liang, Jinzhuang Dou, Jun Ma, Kun Hee Kim, Marc Jan Bonder, Xinghua Shi, Charles Lee, Zechen Chong, Ken Chen
{"title":"Novornabreak: Local Assembly for Novel Splice Junction and Fusion Transcript Detection from RNA-Seq Data.","authors":"Yukun Tan, Vakul Mohanty, Shaoheng Liang, Jinzhuang Dou, Jun Ma, Kun Hee Kim, Marc Jan Bonder, Xinghua Shi, Charles Lee, Zechen Chong, Ken Chen","doi":"10.26502/jbsb.5107050","DOIUrl":"https://doi.org/10.26502/jbsb.5107050","url":null,"abstract":"<p><p>We present novoRNABreak, a unified framework for cancer specific novel splice junction and fusion transcript detection in RNA-seq data obtained from human cancer samples. novoRNABreak is based on a local assembly model, which offers a tradeoff between the alignment-based and de novo whole transcriptome assembly (WTA) methods. This approach is accurate and sensitive in assembling novel junctions that are difficult to directly align or have multiple alignments. Additionally, it is more efficient due to the strategy that focuses on junctions rather than full length transcripts. The performance of novoRNABreak is demonstrated by a comprehensive set of experiments using synthetic data generated based on genome reference, as well as real RNA-seq data from breast cancer and prostate cancer samples. The results show that our tool has a better performance by fully utilizing unmapped reads and precisely identifying the junctions where short reads or small exons have multiple alignments. novoRNABreak is a fully-fledged program available on GitHub (https://github.com/KChen-lab/novoRNABreak).</p>","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"6 2","pages":"74-81"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11412692/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Constrained disorder principle-based second-generation algorithms implement quantified variability signatures to improve the function of complex systems","authors":"Tal Sigawi, Hillel Lehmann, N. Hurvitz, Y. Ilan","doi":"10.26502/jbsb.5107051","DOIUrl":"https://doi.org/10.26502/jbsb.5107051","url":null,"abstract":"","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"45 21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69367938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bioinformatic Analysis of Transcriptional Regulation by Nur77 in Central Nervous System and Immune System","authors":"Faunes F, Andrés Me, Olivares-Costa M","doi":"10.26502/jbsb.5107056","DOIUrl":"https://doi.org/10.26502/jbsb.5107056","url":null,"abstract":"","PeriodicalId":73617,"journal":{"name":"Journal of bioinformatics and systems biology : Open access","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69367948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}