title: Identification of key factors regulating self-renewal and differentiation in EML hematopoietic precursor cells by RNA-sequencing analysis.
abstract: Hematopoietic stem cells (HSCs) are used clinically for transplantation treatment to rebuild a patient's hematopoietic system in many diseases such as leukemia and lymphoma. Elucidating the mechanisms controlling HSCs self-renewal and differentiation is important for application of HSCs for research and clinical uses. However, it is not possible to obtain large quantity of HSCs due to their inability to proliferate in vitro. To overcome this hurdle, we used a mouse bone marrow derived cell line, the EML (Erythroid, Myeloid, and Lymphocytic) cell line, as a model system for this study. RNA-sequencing (RNA-Seq) has been increasingly used to replace microarray for gene expression studies. We report here a detailed method of using RNA-Seq technology to investigate the potential key factors in regulation of EML cell self-renewal and differentiation. The protocol provided in this paper is divided into three parts. The first part explains how to culture EML cells and separate Lin-CD34+ and Lin-CD34- cells. The second part of the protocol offers detailed procedures for total RNA preparation and the subsequent library construction for high-throughput sequencing. The last part describes the method for RNA-Seq data analysis and explains how to use the data to identify differentially expressed transcription factors between Lin-CD34+ and Lin-CD34- cells. The most significantly differentially expressed transcription factors were identified to be the potential key regulators controlling EML cell self-renewal and differentiation. In the discussion section of this paper, we highlight the key steps for successful performance of this experiment. In summary, this paper offers a method of using RNA-Seq technology to identify potential regulators of self-renewal and differentiation in EML cells. The key factors identified are subjected to downstream functional analysis in vitro and in vivo.
authors.affiliation: The Vivian L. Smith Department of Neurosurgery, Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Center, The University of Texas Graduate School of Biomedical Sciences at Houston.
authors.forename: Shan
authors.initials: S
authors.lastname: Zong
authors.affiliation: The Vivian L. Smith Department of Neurosurgery, Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Center, The University of Texas Graduate School of Biomedical Sciences at Houston.
authors.forename: Shuyun
authors.initials: S
authors.lastname: Deng
authors.affiliation: The Vivian L. Smith Department of Neurosurgery, Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Center, The University of Texas Graduate School of Biomedical Sciences at Houston.
authors.forename: Kenian
authors.initials: K
authors.lastname: Chen
authors.affiliation: The Vivian L. Smith Department of Neurosurgery, Center for Stem Cell and Regenerative Medicine, University of Texas Health Science Center, The University of Texas Graduate School of Biomedical Sciences at Houston; Jiaqian.Wu@uth.tmc.edu.
authors.forename: Jia Qian
authors.initials: JQ
authors.lastname: Wu
mesh_terms: D000818:Animals; D018929:Cell Culture Techniques / Q000379:methods; D002454:Cell Differentiation / Q000235:genetics / Q000502:physiology; D002460:Cell Line; D006224:Cricetinae; D006412:Hematopoietic Stem Cells / Q000737:chemistry / Q000166:cytology*; D051379:Mice; D012313:RNA / Q000032:analysis* / Q000235:genetics; D017423:Sequence Analysis, RNA / Q000379:methods*
chemical_list: D012313:RNA