Unknown,Transcriptomics,Genomics,Proteomics

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The pattern of gene expression in human CD34(+) stem/progenitor cells

ABSTRACT: We have analyzed the pattern of gene expression in human primary CD34(+) stem/progenitor cells. We identified 42,399 unique serial analysis of gene expression (SAGE) tags among 106,021 SAGE tags collected from 2.5 x 10(6) CD34(+) cells purified from bone marrow. Of these unique SAGE tags, 21,546 matched known expressed sequences, including 3,687 known genes, and 20,854 were novel without a match. The SAGE tags that matched known sequences tended to be at higher levels, whereas the novel SAGE tags tended to be at lower levels. By using the generation of longer sequences from SAGE tags for gene identification (GLGI) method, we identified the correct gene for 385 of 440 high-copy SAGE tags that matched multiple genes and we generated 198 novel 3' expressed sequence tags from 138 high-copy novel SAGE tags. We observed that many different SAGE tags were derived from the same genes, reflecting the high heterogeneity of the 3' untranslated region in the expressed genes. We compared the quantitative relationship for genes known to be important in hematopoiesis. The qualitative identification and quantitative measure for each known gene, expressed sequence tag, and novel SAGE tag provide a base for studying normal gene expression in hematopoietic stem/progenitor cells and for studying abnormal gene expression in hematopoietic diseases. Keywords: other

ORGANISM(S): Homo sapiens

SUBMITTER: San Ming Wang

PROVIDER: E-GEOD-2346 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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The pattern of gene expression in human CD34(+) stem/progenitor cells.

Zhou G G Chen J J Lee S S Clark T T Rowley J D JD Wang S M SM

Proceedings of the National Academy of Sciences of the United States of America 20011101 24

We have analyzed the pattern of gene expression in human primary CD34(+) stem/progenitor cells. We identified 42,399 unique serial analysis of gene expression (SAGE) tags among 106,021 SAGE tags collected from 2.5 x 10(6) CD34(+) cells purified from bone marrow. Of these unique SAGE tags, 21,546 matched known expressed sequences, including 3,687 known genes, and 20,854 were novel without a match. The SAGE tags that matched known sequences tended to be at higher levels, whereas the novel SAGE tag ...[more]

PMID: 11717454

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Project description:We performed a genome-wide analysis of gene expression in primary human CD151 myeloid progenitor cells. By using the serial analysis of gene expression (SAGE) technique, we obtained quantitative information for the expression of 37,519 unique SAGE-tag sequences. Of these unique tags, (i) 25% were detected at high and intermediate levels, whereas 75% were present as single copies, (ii) 53% of the tags matched known expressed sequences, 34% of which were matched to more than one known expressed sequence, and (iii) 47% of the tags had no matches and represent potentially novel genes. The correct genes were confirmed by application of the generation of longer cDNA fragments from SAGE tags for gene identification (GLGI) technique for high-copy tags with multiple matches. A set of genes known to be important in myeloid differentiation were expressed at various levels and used different spliced forms. This study provides a normal baseline for comparison of gene expression in myeloid diseases. The strategy of using SAGE and GLGI techniques in this study has broad applications to the genome-wide identification of expressed genes. (Lee S et al. The pattern of gene expression in human CD15+ myeloid progenitor cells. Proc Natl Acad Sci U S A. 98(6):3340-5, 2001; Lee S et al. Gene expression profiles in acute myeloid leukemia with common translocations using SAGE. Proc Natl Acad Sci U S A. 103(4):1030-5, 2006) Human bone-marrow mononuclear cells were isolated from bone marrow with FicollyPaque solution and stored in liquid nitrogen. Cells from three donors were thawed at 37°C, pooled, and used immediately for the isolation of myeloid progenitor cells with CD15 magnetic beads (Dynal, Oslo, Norway). The cells isolated by CD15 magnetic beads were lysed directly with TRIzol reagent for isolation of total RNA. mRNA was purified from 5 mg of total RNA with oligo(dT)25 beads. cDNA was synthesized with a cDNA synthesis kit, and SAGE was performed according to the SAGE protocol with the exceptions described in the original paper. SAGE-tag sequences were collected with the Big-Dye sequencing kit and ABI377 sequencer, and tag sequences were extracted with SAGE 300 software.

Project description:The analysis of differentially expressed genes is a powerful approach to elucidate the genetic mechanisms underlying the morphological and evolutionary diversity among serially homologous structures, both within the same organism (e.g., hand vs. foot) and between different species (e.g., hand vs. wing). In the developing embryo, limb-specific expression of Pitx1, Tbx4, and Tbx5 regulates the determination of limb identity. However, numerous lines of evidence, including the fact that these three genes encode transcription factors, indicate that additional genes are involved in the Pitx1-Tbx hierarchy. To examine the molecular distinctions coded for by these factors, and to identify novel genes involved in the determination of limb identity, we have used Serial Analysis of Gene Expression (SAGE) to generate comprehensive gene expression profiles from intact, developing mouse forelimbs and hindlimbs. To minimize the extraction of erroneous SAGE tags from low-quality sequence data, we used a new algorithm to extract tags from -analyzed sequence data and obtained 68,406 and 68,450 SAGE tags from forelimb and hindlimb SAGE libraries, respectively. We also developed an improved method for determining the identity of SAGE tags that increases the specificity of and provides additional information about the confidence of the tag-UniGene cluster match. The most differentially expressed gene between our SAGE libraries was Pitx1. The differential expression of Tbx4, Tbx5, and several limb-specific Hox genes was also detected; however, their abundances in the SAGE libraries were low. Because numerous other tags were differentially expressed at this low level, we performed a 'virtual' subtraction with 362,344 tags from six additional nonlimb SAGE libraries to further refine this set of candidate genes. This subtraction reduced the number of candidate genes by 74%, yet preserved the previously identified regulators of limb identity. This study presents the gene expression complexity of the developing limb and identifies candidate genes involved in the regulation of limb identity. We propose that our computational tools and the overall strategy used here are broadly applicable to other SAGE-based studies in a variety of organisms. Keywords: other

Dataset Information

The pattern of gene expression in human CD34(+) stem/progenitor cells

Publications

The pattern of gene expression in human CD34(+) stem/progenitor cells.

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