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Analysis of qPCR data by converting exponentially related Ct values into linearly related X0 values.通过将指数相关的Ct值转换为线性相关的X0值来分析qPCR数据。
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Genome-wide analysis of novel splice variants induced by topoisomerase I poisoning shows preferential occurrence in genes encoding splicing factors.通过拓扑异构酶 I 诱导的新型剪接变体的全基因组分析表明,剪接因子编码基因中优先发生。
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Wnt signaling in hematopoiesis: crucial factors for self-renewal, proliferation, and cell fate decisions.Wnt 信号在造血中的作用:自我更新、增殖和细胞命运决定的关键因素。
J Cell Biochem. 2010 Apr 1;109(5):844-9. doi: 10.1002/jcb.22467.
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Non-canonical Wnt signaling and N-cadherin related beta-catenin signaling play a role in mechanically induced osteogenic cell fate.非经典Wnt信号通路和与N-钙黏蛋白相关的β-连环蛋白信号通路在机械诱导的成骨细胞命运中发挥作用。
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A HaemAtlas: characterizing gene expression in differentiated human blood cells.一个血液图谱:表征分化的人类血细胞中的基因表达。
Blood. 2009 May 7;113(19):e1-9. doi: 10.1182/blood-2008-06-162958. Epub 2009 Feb 19.
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Chaperoning erythropoiesis.陪伴红细胞生成。
Blood. 2009 Mar 5;113(10):2136-44. doi: 10.1182/blood-2008-09-115238. Epub 2008 Dec 24.
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Stem cell aging: survival of the laziest?干细胞衰老:最懒惰者的生存?
Cell Cycle. 2008 Dec 15;7(24):3798-804. doi: 10.4161/cc.7.24.7214. Epub 2008 Dec 16.
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Platelet production by megakaryocytes: protoplatelet theory justifies cytoplasmic fragmentation model.巨核细胞产生血小板:原血小板理论支持细胞质分裂模型。
Int J Hematol. 2008 Oct;88(3):255-267. doi: 10.1007/s12185-008-0147-7. Epub 2008 Aug 28.
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Rho GTPase-mediated pathways in mature CD4+ T cells.成熟CD4+ T细胞中Rho GTP酶介导的信号通路。
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Defining early lineage specification of human embryonic stem cells by the orchestrated balance of canonical Wnt/beta-catenin, Activin/Nodal and BMP signaling.通过经典Wnt/β-连环蛋白、激活素/节点蛋白和骨形态发生蛋白信号的协同平衡来定义人类胚胎干细胞的早期谱系特化。
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人类分化造血干细胞的转录组谱分析和测序揭示了基因的谱系特异性表达和可变剪接。

Transcriptome profiling and sequencing of differentiated human hematopoietic stem cells reveal lineage-specific expression and alternative splicing of genes.

机构信息

Genomics Core Facility, Genetics and Development Biology, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.

出版信息

Physiol Genomics. 2011 Oct 20;43(20):1117-34. doi: 10.1152/physiolgenomics.00099.2011. Epub 2011 Aug 9.

DOI:10.1152/physiolgenomics.00099.2011
PMID:21828245
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3217327/
Abstract

Hematopoietic differentiation is strictly regulated by complex network of transcription factors that are controlled by ligands binding to cell surface receptors. Disruptions of the intricate sequences of transcriptional activation and suppression of multiple genes cause hematological diseases, such as leukemias, myelodysplastic syndromes, or myeloproliferative syndromes. From a clinical standpoint, deciphering the pattern of gene expression during hematopoiesis may help unravel disease-specific mechanisms in hematopoietic malignancies. Herein, we describe a human in vitro hematopoietic model system where lineage-specific differentiation of CD34(+) cells was accomplished using specific cytokines. Microarray and RNAseq-based whole transcriptome and exome analysis was performed on the differentiated erythropoietic, granulopoietic, and megakaryopoietic cells to delineate changes in expression of whole transcripts and exons. Analysis on the Human 1.0 ST exon arrays indicated differential expression of 172 genes (P < 0.0000001) and significant alternate splicing of 86 genes during differentiation. Pathway analysis identified these genes to be involved in Rac/RhoA signaling, Wnt/B-catenin signaling and alanine/aspartate metabolism. Comparison of the microarray data to next generation RNAseq analysis during erythroid differentiation demonstrated a high degree of correlation in gene (R = 0.72) and exon (R = 0.62) expression. Our data provide a molecular portrait of events that regulate differentiation of hematopoietic cells. Knowledge of molecular processes by which the cells acquire their cell-specific fate would be beneficial in developing cell-based therapies for human diseases.

摘要

造血分化受到转录因子复杂网络的严格调控,这些转录因子受配体与细胞表面受体结合的控制。多个基因转录激活和抑制的复杂序列的破坏会导致血液系统疾病,如白血病、骨髓增生异常综合征或骨髓增殖性综合征。从临床角度来看,破译造血过程中的基因表达模式可能有助于揭示造血恶性肿瘤中特定的疾病机制。在此,我们描述了一种体外人造血模型系统,其中使用特定的细胞因子完成 CD34+细胞的谱系特异性分化。对分化的红细胞、粒细胞和巨核细胞进行基于微阵列和 RNAseq 的全转录组和外显子组分析,以描绘整个转录物和外显子表达的变化。在人类 1.0 ST 外显子阵列上的分析表明,在分化过程中 172 个基因(P < 0.0000001)的表达差异和 86 个基因的显著选择性剪接。通路分析表明这些基因参与 Rac/RhoA 信号、Wnt/B-catenin 信号和丙氨酸/天冬氨酸代谢。将微阵列数据与红细胞分化过程中的下一代 RNAseq 分析进行比较,表明基因(R = 0.72)和外显子(R = 0.62)表达具有高度相关性。我们的数据提供了调控造血细胞分化的事件的分子特征。了解细胞获得其细胞特异性命运的分子过程将有助于开发针对人类疾病的基于细胞的治疗方法。