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Li JP, Liu YJ, Yin Y, Li RN, Huang W, Zou X. Stroma-associated FSTL3 is a factor of calcium channel-derived tumor fibrosis. Sci Rep 2023; 13:21317. [PMID: 38044354 PMCID: PMC10694158 DOI: 10.1038/s41598-023-48574-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 11/28/2023] [Indexed: 12/05/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most widespread histological form of primary liver cancer, and it faces great diagnostic and therapeutic difficulties owing to its tumor diversity. Herein, we aim to establish a unique prognostic molecular subtype (MST) and based on this to find potential therapeutic targets to develop new immunotherapeutic strategies. Using calcium channel molecules expression-based consensus clustering, we screened 371 HCC patients from The Cancer Genome Atlas to screen for possible MSTs. We distinguished core differential gene modules between varying MSTs, and Tumor Immune Dysfunction and Exclusion scores were employed for the reliable assessment of HCC patient immunotherapeutic response rate. Immunohistochemistry and Immunofluorescence staining were used for validation of predicted immunotherapy outcomes and underlying biological mechanisms, respectively. We identified two MSTs with different clinical characteristics and prognoses. Based on the significant differences between the two MSTs, we further identified Follistatin-like 3 (FSTL3) as a potential indicator of immunotherapy resistance and validated this result in our own cohort. Finally, we found that FSTL3 is predominantly expressed in HCC stromal components and that it is a factor in enhancing fibroblast-M2 macrophage signaling crosstalk, the function of which is relevant to the pathogenesis of HCC. The presence of two MSTs associated with the calcium channel phenotype in HCC patients may provide promising directions for overcoming immunotherapy resistance in HCC, and the promotion of FSTL3 expressed in stromal components for HCC hyperfibrosis may be responsible for the poor response rate to immunotherapy in Cluster 2 (C2) patients.
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Affiliation(s)
- Jie-Pin Li
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China
- Key Laboratory of Tumor System Biology of Traditional Chinese Medicine, Nanjing, 210029, Jiangsu, China
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
| | - Yuan-Jie Liu
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
| | - Yi Yin
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
| | - Ruo-Nan Li
- Shihezi Labor Personnel Dispute Arbitration Committee, Shihezi, 832000, China
| | - Wei Huang
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
| | - Xi Zou
- Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
- No. 1 Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
- Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor, Nanjing, 210023, China.
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2
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Yang X, Song Y, Zhang R, Yu M, Guo X, Guo H, Du X, Sun S, Li C, Mao X, Fan G, Liu X. Unravelling the genomic features, phylogeny and genetic basis of tooth ontogenesis in Characiformes through analysis of four genomes. DNA Res 2023; 30:dsad022. [PMID: 37788574 PMCID: PMC10590162 DOI: 10.1093/dnares/dsad022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 09/27/2023] [Accepted: 10/02/2023] [Indexed: 10/05/2023] Open
Abstract
Characiformes is a diverse and evolutionarily significant order of freshwater fish encompassing over 2,300 species. Despite its diversity, our understanding of Characiformes' evolutionary relationships and adaptive mechanisms is limited due to insufficient genome sequences. In this study, we sequenced and assembled the genomes of four Characiformes species, three of which were chromosome-level assemblies. Our analyses revealed dynamic changes in gene family evolution, repeat sequences and variations in chromosomal collinearity within these genomes. With the assembled genomes, we were not only able to elucidate the evolutionary relationship of the four main orders in Otophysi but also indicated Characiformes as the paraphyletic group. Comparative genomic analysis with other available fish genomes shed light on the evolution of genes related to tooth development in Characiformes. Notably, variations in the copy number of secretory calcium-binding phosphoproteins (SCPP) genes were observed among different orders of Otophysi, indicating their potential contribution to the diversity of tooth types. Our study offers invaluable genome sequences and novel insights into Characiformes' evolution, paving the way for further genomic and evolutionary research in fish.
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Affiliation(s)
- Xianwei Yang
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yue Song
- BGI Research, Qingdao 266555, China
| | | | | | | | | | - Xiao Du
- BGI Research, Qingdao 266555, China
- BGI Research, Shenzhen 518083, China
| | - Shuai Sun
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Qingdao 266555, China
| | | | | | - Guangyi Fan
- BGI Research, Qingdao 266555, China
- BGI Research, Shenzhen 518083, China
| | - Xin Liu
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
- BGI Research, Shenzhen 518083, China
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3
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Paluschinski M, Schira-Heinen J, Pellegrino R, Heij LR, Bednarsch J, Neumann UP, Longerich T, Stuehler K, Luedde T, Castoldi M. Uncovering Novel Roles of miR-122 in the Pathophysiology of the Liver: Potential Interaction with NRF1 and E2F4 Signaling. Cancers (Basel) 2023; 15:4129. [PMID: 37627157 PMCID: PMC10453129 DOI: 10.3390/cancers15164129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/07/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
MicroRNA miR-122 plays a pivotal role in liver function. Despite numerous studies investigating this miRNA, the global network of genes regulated by miR-122 and its contribution to the underlying pathophysiological mechanisms remain largely unknown. To gain a deeper understanding of miR-122 activity, we employed two complementary approaches. Firstly, through transcriptome analysis of polyribosome-bound RNAs, we discovered that miR-122 exhibits potential antagonistic effects on specific transcription factors known to be dysregulated in liver disease, including nuclear respiratory factor-1 (NRF1) and the E2F transcription factor 4 (E2F4). Secondly, through proteome analysis of hepatoma cells transfected with either miR-122 mimic or antagomir, we discovered changes in several proteins associated with increased malignancy. Interestingly, many of these proteins were reported to be transcriptionally regulated by NRF1 and E2F4, six of which we validated as miR-122 targets. Among these, a negative correlation was observed between miR-122 and glucose-6-phosphate dehydrogenase levels in the livers of patients with hepatitis B virus-associated hepatocellular carcinoma. This study provides novel insights into potential alterations of molecular pathway occurring at the early stages of liver disease, driven by the dysregulation of miR-122 and its associated genes.
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Affiliation(s)
- Martha Paluschinski
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty and University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (T.L.)
| | - Jessica Schira-Heinen
- Department of Neurology, Medical Faculty, Heinrich-Heine-University, 40225 Dusseldorf, Germany;
- Molecular Proteomics Laboratory (MPL), Institute for Molecular Medicine, Heinrich-Heine-University, 40225 Dusseldorf, Germany;
| | - Rossella Pellegrino
- Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany; (R.P.); (T.L.)
| | - Lara R. Heij
- Department of Surgery and Transplantation, University Hospital RWTH Aachen, 52074 Aachen, Germany; (L.R.H.); (J.B.); (U.P.N.)
| | - Jan Bednarsch
- Department of Surgery and Transplantation, University Hospital RWTH Aachen, 52074 Aachen, Germany; (L.R.H.); (J.B.); (U.P.N.)
| | - Ulf P. Neumann
- Department of Surgery and Transplantation, University Hospital RWTH Aachen, 52074 Aachen, Germany; (L.R.H.); (J.B.); (U.P.N.)
| | - Thomas Longerich
- Institute of Pathology, University Hospital Heidelberg, 69120 Heidelberg, Germany; (R.P.); (T.L.)
| | - Kai Stuehler
- Molecular Proteomics Laboratory (MPL), Institute for Molecular Medicine, Heinrich-Heine-University, 40225 Dusseldorf, Germany;
| | - Tom Luedde
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty and University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (T.L.)
| | - Mirco Castoldi
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty and University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (T.L.)
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4
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Paluschinski M, Kordes C, Vucur M, Buettner V, Roderburg C, Xu HC, Shinte PV, Lang PA, Luedde T, Castoldi M. Differential Modulation of miR-122 Transcription by TGFβ1/BMP6: Implications for Nonresolving Inflammation and Hepatocarcinogenesis. Cells 2023; 12:1955. [PMID: 37566034 PMCID: PMC10416984 DOI: 10.3390/cells12151955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/12/2023] Open
Abstract
Chronic inflammation is widely recognized as a significant factor that promotes and worsens the development of malignancies, including hepatocellular carcinoma. This study aimed to explore the potential role of microRNAs in inflammation-associated nonresolving hepatocarcinogenesis. By conducting a comprehensive analysis of altered microRNAs in animal models with liver cancer of various etiologies, we identified miR-122 as the most significantly downregulated microRNA in the liver of animals with inflammation-associated liver cancer. Although previous research has indicated the importance of miR-122 in maintaining hepatocyte function, its specific role as either the trigger or the consequence of underlying diseases remains unclear. Through extensive analysis of animals and in vitro models, we have successfully demonstrated that miR-122 transcription is differentially regulated by the immunoregulatory cytokines, by the transforming growth factor-beta 1 (TGFβ1), and the bone morphogenetic protein-6 (BMP6). Furthermore, we presented convincing evidence directly linking reduced miR-122 transcription to inflammation and in chronic liver diseases. The results of this study strongly suggest that prolonged activation of pro-inflammatory signaling pathways, leading to disruption of cytokine-mediated regulation of miR-122, may significantly contribute to the onset and exacerbation of chronic liver disease.
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Affiliation(s)
- Martha Paluschinski
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (C.K.); (M.V.); (V.B.); (C.R.); (T.L.)
| | - Claus Kordes
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (C.K.); (M.V.); (V.B.); (C.R.); (T.L.)
| | - Mihael Vucur
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (C.K.); (M.V.); (V.B.); (C.R.); (T.L.)
| | - Veronika Buettner
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (C.K.); (M.V.); (V.B.); (C.R.); (T.L.)
| | - Christoph Roderburg
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (C.K.); (M.V.); (V.B.); (C.R.); (T.L.)
| | - Haifeng C. Xu
- Institute for Molecular Medicine II, Medical Faculty, Heinrich-Heine University Hospital, 40225 Dusseldorf, Germany; (H.C.X.); (P.V.S.); (P.A.L.)
| | - Prashant V. Shinte
- Institute for Molecular Medicine II, Medical Faculty, Heinrich-Heine University Hospital, 40225 Dusseldorf, Germany; (H.C.X.); (P.V.S.); (P.A.L.)
| | - Philipp A. Lang
- Institute for Molecular Medicine II, Medical Faculty, Heinrich-Heine University Hospital, 40225 Dusseldorf, Germany; (H.C.X.); (P.V.S.); (P.A.L.)
| | - Tom Luedde
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (C.K.); (M.V.); (V.B.); (C.R.); (T.L.)
| | - Mirco Castoldi
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, University Hospital, Heinrich Heine University Dusseldorf, 40225 Dusseldorf, Germany; (M.P.); (C.K.); (M.V.); (V.B.); (C.R.); (T.L.)
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5
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Howell P, Aryal A, Wu C. Online Patient Recommender Systems for Preventive Care: Propositions to Advance Research (Preprint). JMIR Res Protoc 2022; 12:e43316. [PMID: 36995747 PMCID: PMC10132006 DOI: 10.2196/43316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 01/21/2023] [Accepted: 02/07/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Preventive care helps patients identify and address medical issues early when they are easy to treat. The internet offers vast information about preventive measures, but the sheer volume of data can be overwhelming for individuals to process. To help individuals navigate this information, recommender systems filter and recommend relevant information to specific users. Despite their popularity in other fields, such as e-commerce, recommender systems have yet to be extensively studied as tools to support the implementation of prevention strategies in health care. This underexplored area presents an opportunity for recommender systems to serve as a complementary tool for medical professionals to enhance patient-centered decision-making and for patients to access health information. Thus, these systems can potentially improve the delivery of preventive care. OBJECTIVE This study proposes practical, evidence-based propositions. It aims to identify the key factors influencing patients' use of recommender systems and outlines a study design, methods for creating a survey, and techniques for conducting an analysis. METHODS This study proposes a 6-stage approach to examine user perceptions of the factors that may influence the use of recommender systems for preventive care. First, we formulate 6 research propositions that can be developed later into hypotheses for empirical testing. Second, we will create a survey instrument by collecting items from extant literature and then verify their relevance using expert analysis. This stage will continue with content and face validity testing to ensure the robustness of the selected items. Using Qualtrics (Qualtrics), the survey can be customized and prepared for deployment on Amazon Mechanical Turk. Third, we will obtain institutional review board approval because this is a human subject study. In the fourth stage, we propose using the survey to collect data from approximately 600 participants on Amazon Mechanical Turk and then using R to analyze the research model. This platform will serve as a recruitment tool and the method of obtaining informed consent. In our fifth stage, we will perform principal component analysis, Harman Single Factor test, exploratory factor analysis, and correlational analysis; examine the reliability and convergent validity of individual items; test if multicollinearity exists; and complete a confirmatory factor analysis. RESULTS Data collection and analysis will begin after institutional review board approval is obtained. CONCLUSIONS In pursuit of better health outcomes, low costs, and improved patient and provider experiences, the integration of recommender systems with health care services can extend the reach and scale of preventive care. Examining recommender systems for preventive care can be vital in achieving the quadruple aims by advancing the steps toward precision medicine and applying best practices. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/43316.
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Affiliation(s)
- Pamella Howell
- Department of Information Systems, College of Business and Economics, California State University, Los Angeles, Los Angeles, CA, United States
| | - Arun Aryal
- Department of Information Systems, College of Business and Economics, California State University, Los Angeles, Los Angeles, CA, United States
| | - Crystal Wu
- Department of Information Systems, College of Business and Economics, California State University, Los Angeles, Los Angeles, CA, United States
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6
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Zhang Y, Zhao Q, Feng Y, Dong Y, Zhang T, Yang Q, Gu H, Huang J, Li Y. Integrated Transcriptomic and Metabolomic Analyses Reveal the Mechanisms Underlying Anthocyanin Coloration and Aroma Formation in Purple Fennel. Front Nutr 2022; 9:875360. [PMID: 35571884 PMCID: PMC9093692 DOI: 10.3389/fnut.2022.875360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 03/22/2022] [Indexed: 11/28/2022] Open
Abstract
The color and aroma are the significant traits of vegetables and fruits, but the metabolic and molecular mechanisms underlying anthocyanin accumulation and aroma formation remain almost unknown in fennel (Anethum foeniculum L.), which is a crucial vegetable crop and grown widely for aromatic leaves and bulbs. Here, ten major anthocyanins identified and quantified by ultra-high performance liquid chromatography coupled with quadrupole Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS) were mainly responsible for the coloration of purple fennel leaf. With the application of GC-MS, it was found that the reduced volatile phenylpropanoids including isoeugenol, trans-isoeugenol, and apiol chiefly account for the characteristic aroma changes of the purple fennel. Moreover, the characteristic anthocyanin coloration and aroma formation in purple fennel were systematically studied with the integrated transcriptomics and metabolomics. The critical genes associated with the biosynthesis and regulation of anthocyanins and volatile phenylpropanoids were isolated and studied carefully in transiently transfected tobacco cells and transgenic tomato plants. Together with the results of UHPLC-Q-Orbitrap HRMS, RT-qPCR, and yeast two hybrid (Y2H), it is proved that the metabolic flux redirection of phenylpropanoid pathway primarily regulated by a functional MYB-bHLH-WD40 complex consisting of AfTT8, AfMYB7, and AfTTG1 accounts for the characteristic anthocyanin coloration and aroma formation in purple fennel leaf. The systematic understanding of the anthocyanin accumulation and aroma formation will assist in the improvement of fennel resource utilization and breeding.
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Affiliation(s)
- Yanjie Zhang
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Qing Zhao
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Youwei Feng
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Yuanhang Dong
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Tianjiao Zhang
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Qiu Yang
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Huihui Gu
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Jinyong Huang
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China
| | - Yan Li
- School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China.,The Center of Advanced Analysis and Gene Sequencing, Zhengzhou University, Zhengzhou, China
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Zhao X, Zhong Y, Wang X, Shen J, An W. Advances in Circular RNA and Its Applications. Int J Med Sci 2022; 19:975-985. [PMID: 35813288 PMCID: PMC9254372 DOI: 10.7150/ijms.71840] [Citation(s) in RCA: 62] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 05/15/2022] [Indexed: 11/17/2022] Open
Abstract
Circular RNA (circRNA) is a novel endogenous non-coding RNA (ncRNA) that, like microRNA (miRNA), is a rapidly emerging RNA research topic. CircRNA, unlike traditional linear RNAs (which have 5' and 3' ends), has a closed-loop structure that is unaffected by RNA exonucleases. Thus, circRNA has sustained expression and is less sensitive to degradation. Since circRNAs have many miRNAs binding sites, eliminating their repressive effects on their target genes can strongly enhance their expression. CircRNAs serve an important regulatory role in disease onset and progression via specific circRNA-miRNA interactions. We summarized the current progress in elucidating mechanisms and biogenesis of circRNAs in this review. In particular, circRNAs can function mainly as miRNA sponges, regulating host gene expression and protein transportation. Finally, we discussed the application prospects and significant challenges for the development of circRNA-based therapeutics.
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Affiliation(s)
- Xian Zhao
- National Vaccine & Serum Institute (NVSI), China National Biotech Group (CNBG), No. 38 Jing Hai Second Road, Beijing, 101111, China
| | - Youxiu Zhong
- National Vaccine & Serum Institute (NVSI), China National Biotech Group (CNBG), No. 38 Jing Hai Second Road, Beijing, 101111, China
| | - Xudong Wang
- National Vaccine & Serum Institute (NVSI), China National Biotech Group (CNBG), No. 38 Jing Hai Second Road, Beijing, 101111, China
| | - Jiuheng Shen
- National Vaccine & Serum Institute (NVSI), China National Biotech Group (CNBG), No. 38 Jing Hai Second Road, Beijing, 101111, China
| | - Wenlin An
- National Vaccine & Serum Institute (NVSI), China National Biotech Group (CNBG), No. 38 Jing Hai Second Road, Beijing, 101111, China
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8
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Patra BG, Soltanalizadeh B, Deng N, Wu L, Maroufy V, Wu C, Zheng WJ, Roberts K, Wu H, Yaseen A. An informatics research platform to make public gene expression time-course datasets reusable for more scientific discoveries. Database (Oxford) 2020; 2020:baaa074. [PMID: 33247935 PMCID: PMC7698665 DOI: 10.1093/database/baaa074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 07/17/2020] [Accepted: 08/10/2020] [Indexed: 11/13/2022]
Abstract
The exponential growth of genomic/genetic data in the era of Big Data demands new solutions for making these data findable, accessible, interoperable and reusable. In this article, we present a web-based platform named Gene Expression Time-Course Research (GETc) Platform that enables the discovery and visualization of time-course gene expression data and analytical results from the NIH/NCBI-sponsored Gene Expression Omnibus (GEO). The analytical results are produced from an analytic pipeline based on the ordinary differential equation model. Furthermore, in order to extract scientific insights from these results and disseminate the scientific findings, close and efficient collaborations between domain-specific experts from biomedical and scientific fields and data scientists is required. Therefore, GETc provides several recommendation functions and tools to facilitate effective collaborations. GETc platform is a very useful tool for researchers from the biomedical genomics community to present and communicate large numbers of analysis results from GEO. It is generalizable and broadly applicable across different biomedical research areas. GETc is a user-friendly and efficient web-based platform freely accessible at http://genestudy.org/.
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Affiliation(s)
- Braja Gopal Patra
- Department of Biostatistics and Data Science, School of Public Health,The University of Texas Health
Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, USA
| | - Babak Soltanalizadeh
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health
Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, USA
| | - Nan Deng
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health
Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, USA
| | - Leqing Wu
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health
Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, USA
| | - Vahed Maroufy
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health
Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, USA
| | - Canglin Wu
- TechWave International. Inc., Houston, TX, USA and
| | - W Jim Zheng
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 600, Houston, TX 77030, USA
| | - Kirk Roberts
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 600, Houston, TX 77030, USA
| | - Hulin Wu
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health
Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, USA
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, 7000 Fannin St. Suite 600, Houston, TX 77030, USA
| | - Ashraf Yaseen
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health
Science Center at Houston, 1200 Pressler Street, Houston, TX 77030, USA
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