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E-GEOD-13243 - SAGE Libraries from Highly Purified Mouse Hematopoietic Stem Cells from the E14.5 Fetal Liver and Adult Bone Marrow

Submitted on 15 October 2008, released on 18 October 2008, last updated on 27 March 2012
Mus musculus
Samples (2)
Protocols (9)
Recent improvements in the development of methods for isolating functionally validated populations of nearly pure (>20%) murine hematopoietic stem cells (HSCs) have made it possible to analyze the molecular basis of the properties of these cells with increased precision. One intriguing feature of HSCs is the change they undergo in many of their key properties during development a change that affects the control of their self-renewal, cycling status, differentiated progeny output and steel factor sensitivity. To investigate how these differences are mediated, we undertook a genome-wide analysis of the transcripts present in highly purified fetal and adult HSCs using an adaptation of the LongSAGE methodology that allows its application to small numbers of cells (10 ng of RNA) by inclusion of an initial PCR amplification step that preserves the transcript repertoire while excluding less than 0.25% of the transcripts. The LongSAGE methodology was adopted because it is sequence-based and thus quantitative and independent of prior knowledge of expressed genes or variations in their hybridization to matching or related cDNAs, ESTs or derived oligos. A suspension of 10,000 lin-Sca-1+CD43+Mac1+ fetal liver (FL) cells (20% pure HSCs as determined by 16-week limiting dilution and single cell transplantation experiments) was obtained from embryonic day 14.5 fetuses. From these cells, we generated a 160,000-tag LongSAGE library containing 7865 tags that map uniquely to the mouse genome (using the RefSeq database through DiscoverySpace; A suspension of 3700 CD45midlin-Rho-SP cells (30% pure HSCs) was isolated from adult mouse bone marrow (BM) and then used to generate a 37,000-tag LongSAGE library (956 uniquely mapped tags). Both of these libraries contained tags identifying transcripts that have been previously reported to be associated with HSCs from FL and/or adult BM, including c-kit, pbx-1, tgf-, cul-4a, PrP, c-myc, robo1, sox17, as well as a number of Smarc transcripts, ubiquitin ligase transcripts and TNF-related transcripts. As a first test of the utility of the libraries, we looked for differences in the expression of genes that have been broadly associated with differences in cellular proliferative activity. This comparison identified many such tags in the FL HSC library that were absent from the adult BM HSC library, including multiple cyclins (A2, B2, C, D1, D2, D3, E1, F, H, I, J L1, L2), cdc20, cdc5b, and plk, as well as 34 of the top 50 proliferation genes identified by Venezia et al (PLoS Biology, 2004) to be selectively expressed in adult BM HSCs that had been stimulated to proliferate. Other transcripts that were present at significantly higher levels in the FL HSC library (95% C.I. using Audic Claverie statistics) included msl2, rbx1, lmo2, pfn1, and 16 members of the tripartite motif protein (trim) family. Conversely, many transcripts for components of the proteosome, involved in nucleic acid binding, and transcripts coding for proteins with receptor activity were present at higher levels (or uniquely) in the adult BM HSC library. Taken together, these findings establish the validity and potential of these permanent HSC transcriptome resources for further investigation of mechanisms that determine the different biology of fetal and adult HSCs. RNA was collected from E14.5 fetal livers and 10-12 week old adult bone marrow with the phenotypes that isolate highly purified hematopoietic stem cells (Lin-/CD45+/SP/Rho- for bone marrow and Lin-/Mac1+/CD43+/Sca1+ for fetal liver)
Experiment type
transcription profiling by SAGE 
BCGSC BC Cancer Agency <>, Allen Delaney, Brad Dykstra, Connie J Eaves, David Kent, Jay Cheyne, Marco Marra, Martin Hirst, Michelle Bowie, Yongjun Zhao, Yun Zhao
Prospective isolation and molecular characterization of hematopoietic stem cells with durable self-renewal potential. Kent DG, Copley MR, Benz C, Wöhrer S, Dykstra BJ, Ma E, Cheyne J, Zhao Y, Bowie MB, Zhao Y, Gasparetto M, Delaney A, Smith C, Marra M, Eaves CJ.
Exp. designProtocolsVariablesProcessedSeq. reads
Investigation descriptionE-GEOD-13243.idf.txt
Sample and data relationshipE-GEOD-13243.sdrf.txt
Processed data (1)