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10.1093/bib/bbab274 http://scihub22266oqcxt.onion/10.1093/bib/bbab274 34254996!8344678!34254996     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34254996&cmd=llinks): Failed to open stream: HTTP request failed! 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ADEIP: an integrated platform of age-dependent expression and immune profiles across human tissues |pdf=|usr=}}{{34254996}} gab.com Text ADEIP: an integrated platform of age-dependent expression and immune profiles across human tissues JO: Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=34254996 #FOAvip Gene expression and immune status in human tissues are changed with aging. There is a need to develop a comprehensive platform to explore the dynamics of age-related gene expression and immune profiles across tissues in genome-wide studies. Here, we collected RNA-Seq datasets from GTEx project, containing 16 704 samples from 30 major tissues in six age groups ranging from 20 to 79 years old. Dynamic gene expression along with aging were depicted and gene set enrichment analysis was performed among those age groups. Genes from 34 known immune function categories and immune cell compositions were investigated and compared among different age groups. Finally, we integrated all the results and developed a platform named ADEIP (http://gb.whu.edu.cn/ADEIP or http://geneyun.net/ADEIP), integrating the age-dependent gene expression and immune profiles across tissues. To demonstrate the usage of ADEIP, we applied two datasets: severe acute respiratory syndrome coronavirus 2 and human mesenchymal stem cells-assoicated genes. We also included the expression and immune dynamics of these genes in the platform. Collectively, ADEIP is a powerful platform for studying age-related immune regulation in organogenesis and other infectious or genetic diseases. Twit Text FOAVip ADEIP: an integrated platform of age-dependent expression and immune profiles across human tissues ????Brief Bioinform http://www.kidney.de/pget.php?&tw=1&pmid=34254996 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34254996 #FOAvip English Wikipedia <ref>{{Cite pmid|34254996}}</ref> ADEIP: an integrated platform of age-dependent expression and immune profiles across human tissues #MMPMID34254996 Liu X; Chen W; Fang Y; Yang S; Chang L; Chen X; Ye H; Tang X; Zhong S; Zhang W; Dong Z; Han L; He C Brief Bioinform 2021[Nov]; 22 (6): � PMID34254996show ga Gene expression and immune status in human tissues are changed with aging. There is a need to develop a comprehensive platform to explore the dynamics of age-related gene expression and immune profiles across tissues in genome-wide studies. Here, we collected RNA-Seq datasets from GTEx project, containing 16 704 samples from 30 major tissues in six age groups ranging from 20 to 79 years old. Dynamic gene expression along with aging were depicted and gene set enrichment analysis was performed among those age groups. Genes from 34 known immune function categories and immune cell compositions were investigated and compared among different age groups. Finally, we integrated all the results and developed a platform named ADEIP (http://gb.whu.edu.cn/ADEIP or http://geneyun.net/ADEIP), integrating the age-dependent gene expression and immune profiles across tissues. To demonstrate the usage of ADEIP, we applied two datasets: severe acute respiratory syndrome coronavirus 2 and human mesenchymal stem cells-assoicated genes. We also included the expression and immune dynamics of these genes in the platform. Collectively, ADEIP is a powerful platform for studying age-related immune regulation in organogenesis and other infectious or genetic diseases. |Adult[MESH] |Aged[MESH] |COVID-19/*genetics/virology[MESH] |Epithelial Cells/metabolism/virology[MESH] |Female[MESH] |Gene Expression Regulation/genetics[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Organ Specificity/*genetics[MESH] |RNA-Seq[MESH] |SARS-CoV-2/*genetics[MESH]ADEIP: an integrated platform of age-dependent expression and immune p(epmc).pdf DeepDyve Pubget Overpricing