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Critical Reviews™ in Eukaryotic Gene Expression

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ISSN Печать: 1045-4403

ISSN Онлайн: 2162-6502

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.6 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.2 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00058 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.345 SNIP: 0.46 CiteScore™:: 2.5 H-Index: 67

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MicroRNAs in Human Lymphoblastoid Cell Lines

Том 22, Выпуск 3, 2012, pp. 189-196
DOI: 10.1615/CritRevEukarGeneExpr.v22.i3.20
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Краткое описание

Human lymphoblastoid cell lines (LCLs) are generated by EBV-mediated B-cell transformation to provide unlimited genomic resources for human genetics and immunological studies. The LCL is a good in vitro cell model for assessing population differences in the basal expression of genes and miRNAs as well as in cellular responses to various stimulators. Recently, the utility of LCLs was extended to pharmacogenomic studies to discover genetic factors underlying individual variations in response to chemicals and environmental stresses. Although LCLs represent generally lymphoid tissue−specific biological characteristics, genomic signatures of LCLs can distinguish patients with brain-related diseases and nonlymphoid tumors from normal controls. MicroRNA is known to be an epigenetic transcriptional regulator, and its expression is induced in abnormal conditions such as perturbagen-stimulated, virus-infected, or cancer cells. The epigenetic regulation of gene expression mediated by microRNA and DNA methylation is important for understanding the pathogenesis of cancers and complex diseases as well as discovering for therapeutic targets. For integrative genomic analyses, LCLs can be utilized to generate cellular phenotypes and various genomic data (e.g., SNP, CNV, transcriptome, methylome, etc.), which can be linked to clinical information of donors. Here, we discuss miRNA-mediated gene expression in LCLs and its application to disease genomics and global transcriptional regulatory machinery studies.

Ключевые слова: LCL, miRNA, transcription, biobank
ЦИТИРОВАНО В
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  2. Shim Sung-Mi, Jung So-Young, Nam Hye-Young, Kim Hye-Ryun, Lee Mee-Hee, Kim Jun-Woo, Han Bok-Ghee, Jeon Jae-Pil, Network signatures of cellular immortalization in human lymphoblastoid cell lines, Biochemical and Biophysical Research Communications, 441, 2, 2013. Crossref

  3. Maffioletti Elisabetta, Tardito Daniela, Gennarelli Massimo, Bocchio-Chiavetto Luisella, Micro spies from the brain to the periphery: new clues from studies on microRNAs in neuropsychiatric disorders, Frontiers in Cellular Neuroscience, 8, 2014. Crossref

  4. Scheinfeldt Laura B., Hodges Kelly, Pevsner Jonathan, Berlin Dorit, Turan Nahid, Gerry Norman P., Genetic and genomic stability across lymphoblastoid cell line expansions, BMC Research Notes, 11, 1, 2018. Crossref

  5. Osorio Daniel, Yu Xue, Yu Peng, Serpedin Erchin, Cai James J., Single-cell RNA sequencing of a European and an African lymphoblastoid cell line, Scientific Data, 6, 1, 2019. Crossref

  6. Qiao Ying, Badduke Chansonette, Mercier Eloi, Lewis Suzanne ME, Pavlidis Paul, Rajcan-Separovic Evica, miRNA and miRNA target genes in copy number variations occurring in individuals with intellectual disability, BMC Genomics, 14, 1, 2013. Crossref

  7. Breen M S, White C H, Shekhtman T, Lin K, Looney D, Woelk C H, Kelsoe J R, Lithium-responsive genes and gene networks in bipolar disorder patient-derived lymphoblastoid cell lines, The Pharmacogenomics Journal, 16, 5, 2016. Crossref

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