The pattern of gene expression in human CD34(+) stem/progenitor cells
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE2346 | GEO | 2005/03/01
SECONDARY ACCESSION(S): PRJNA91635
REPOSITORIES: GEO
Similar Datasets
Project description: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
2005-02-28 | E-GEOD-2346 | biostudies-arrayexpress
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)
2008-10-03 | GSE13007 | GEO
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.
2008-10-03 | E-GEOD-13007 | biostudies-arrayexpress
Project description:To identify genes express in earliest stage of fruiting body initiation in Coprinopsis cinerea, strain #326 (AmutBmut haploid fruiting strain), genes expressed at 0, 0.5, 1, 3h after light exposure were compared by Super-SAGE Approximately, 1 million tags were sequenced from each mycelial sample to obtain 65,535 unique tags. First, we made matches between the tags and predicted genes of the WT strain, and 24.4% tags matched to predicted genes. Tags of 11.4% genes that did not match with predicted genes matched with the genome sequence of strain #326, and 64.1% of unique tags (2.5~4.5% of total tag counts) were not identified in the #326 genome sequence. In tags that matched to #326 strain genome, we obtained reads 1,000 bp upstream of the genome sequence from the tags, and found that 81% of 1000 bp upstream genome sequences contain predicted genes. The tag counts that matched the same predicted genes were incremented, and fisher’s exact test was carried out using IDEG6
2018-12-03 | GSE99617 | GEO
Project description:Turkey sperm lose viability within 8-18 h when stored as liquid semen using current methods and extenders. In contrast, turkey hens maintain viable, fertile sperm in their sperm storage tubules (SST) for 45 or more days following a single insemination. Our long-term objectives are to identify and characterize differentially expressed genes that may underlie this prolonged sperm storage and then use this information to develop improved methods for storing liquid turkey semen. We employed serial analysis of gene expression (SAGE) to compare gene expression patterns in turkey SST recovered from hens after artificial insemination (AI) with extended semen (sperm AI) or extender alone (control AI). We constructed two separate SAGE libraries with SST RNA obtained from sperm and control AI hens. We used these libraries to generate 95,325 ten-base pair SAGE tags. These 95,325 tags represented 27,430 unique genes. The sperm and control AI libraries contained 47,663 and 47,662 tags representing 18,030 and 19,101 putative unique transcripts, respectively. Approximately 1% of these putative unique genes were differentially expressed (P<0.05) between treatments. Tentative annotations were ascribed to the SAGE tag nucleotide sequences by comparing them against publicly available SAGE tag and cDNA sequence databases. Based on its SAGE tag nucleotide sequence, we cloned a partial turkey avidin cDNA and confirmed its up-regulation in the sperm AI SST. The bioinformatics and experimental procedures employed to clone turkey avidin and confirm its differential expression represent a useful paradigm for analyzing SAGE tag data from relatively uncharacterized model systems. Keywords: other
2003-03-23 | GSE351 | GEO
Project description:Increasing evidence suggests that low-abundant transcripts may play fundamental roles in biological processes. In an attempt to estimate the prevalence of low-abundant transcripts in eukaryotic genomes, we performed a transcriptome analysis in Drosophila using the SAGE technique. We collected 244,313 SAGE tags from transcripts expressed in Drosophila embryonic, larval, pupae, adult, and testicular tissue. From these SAGE tags, we identified 40,823 unique SAGE tags. Our analysis showed that 55% of the 40,823 unique SAGE tags are novel without matches in currently known Drosophila transcripts, and most of the novel SAGE tags have low copy numbers. Further analysis indicated that these novel SAGE tags represent novel low-abundant transcripts expressed from loci outside of currently annotated exons including the intergenic and intronic regions, and antisense of the currently annotated exons in the Drosophila genome. Our study reveals the presence of a significant number of novel low-abundant transcripts in Drosophila, and highlights the need to isolate these novel low-abundant transcripts for further biological studies. Keywords: other
2005-06-03 | GSE2347 | GEO
Project description:The abundant and widespread coccolithophore Emiliania huxleyi plays an important role in mediating CO2 exchange between the ocean and the atmosphere through its impact on marine photosynthesis and calcification. Here, we use long serial analysis of gene expression (SAGE) to identify E. huxleyi genes responsive to nitrogen (N) or phosphorus (P) starvation. Long SAGE is an elegant approach for examining quantitative and comprehensive gene expression patterns without a priori knowledge of gene sequences via the detection of 21-bp nucleotide sequence tags. E. huxleyi appears to have a robust transcriptional-level response to macronutrient deficiency, with 42 tags uniquely present or up-regulated twofold or greater in the N-starved library and 128 tags uniquely present or up-regulated twofold or greater in the P-starved library. The expression patterns of several tags were validated with reverse transcriptase PCR. Roughly 48% of these differentially expressed tags could be mapped to publicly available genomic or expressed sequence tag (EST) sequence data. For example, in the P-starved library a number of the tags mapped to genes with a role in P scavenging, including a putative phosphate-repressible permease and a putative polyphosphate synthetase. In short, the long SAGE analyses have (i) identified many new differentially regulated gene sequences, (ii) assigned regulation data to EST sequences with no database homology and unknown function, and (iii) highlighted previously uncharacterized aspects of E. huxleyi N and P physiology. To this end, our long SAGE libraries provide a new public resource for gene discovery and transcriptional analysis in this biogeochemically important marine organism. Keywords: Emiliania, gene expression, nutrients, SAGE, phosphate, nitrogen
2007-07-07 | GSE8376 | GEO
Project description:To identify the genes differentially expressed in the zebrafish mibta52b mutant, genome-wide transcriptome analysis was performed using Serial Analysis of Gene Expression (SAGE). 335 transcripts were identified whose expressions were significantly altered in the mibta52b mutant as compared with the wild-type. After mRNA isolation using oligo(dT)25 beads (Dynal Biotech ASA, Oslo, Norway), cDNA synthesis was carried out using anchored oligo(dT) primers to reduce truncated cDNA through internal poly(A) priming (Nam et al., 2002). SAGE analysis was carried out as described (Velculescu et al., 1995) but was modified slightly according to Lee et al (Lee et al., 2007). We performed a low-cycle PCR (14 cycles) using the GeneAmp PCR System 2400 (Applied Biosystem, Foster City, CA) to amplify 3’cDNA in order to generate a sufficient amount of templates for SAGE analysis. The sense primer used was a SAGE primer 1 (5’-GGA TTT GCT GGT GCA GTA CA-3’) or SAGE primer 2 (5’-CTG CTC GAA TTC AAG CTT CT-3’); the antisense primer used was 5’-biotin- ACT ATC TAG AGC GGC CGC TT-3’, which was located in the 3’ end of all cDNAs generated from the anchored oligo(dT) primers. BsmFI-released fragments containing SAGE tags, were gel purified before being used for ditag formation and concatenation to provide high-quality tags for SAGE analysis. SAGE tag sequences were collected with Big-Dye sequencing and an ABI3730 sequencer, and tag sequences were extracted with SAGE 300 software. A total of 92,970 SAGE tags were collected from the two libraries.
2008-10-08 | E-GEOD-13050 | biostudies-arrayexpress
Project description:Turkey sperm lose viability within 8-18 h when stored as liquid semen using current methods and extenders. In contrast, turkey hens maintain viable, fertile sperm in their sperm storage tubules (SST) for 45 or more days following a single insemination. Our long-term objectives are to identify and characterize differentially expressed genes that may underlie this prolonged sperm storage and then use this information to develop improved methods for storing liquid turkey semen. We employed serial analysis of gene expression (SAGE) to compare gene expression patterns in turkey SST recovered from hens after artificial insemination (AI) with extended semen (sperm AI) or extender alone (control AI). We constructed two separate SAGE libraries with SST RNA obtained from sperm and control AI hens. We used these libraries to generate 95,325 ten-base pair SAGE tags. These 95,325 tags represented 27,430 unique genes. The sperm and control AI libraries contained 47,663 and 47,662 tags representing 18,030 and 19,101 putative unique transcripts, respectively. Approximately 1% of these putative unique genes were differentially expressed (P<0.05) between treatments. Tentative annotations were ascribed to the SAGE tag nucleotide sequences by comparing them against publicly available SAGE tag and cDNA sequence databases. Based on its SAGE tag nucleotide sequence, we cloned a partial turkey avidin cDNA and confirmed its up-regulation in the sperm AI SST. The bioinformatics and experimental procedures employed to clone turkey avidin and confirm its differential expression represent a useful paradigm for analyzing SAGE tag data from relatively uncharacterized model systems. Keywords: other
2003-03-22 | E-GEOD-351 | biostudies-arrayexpress
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
2003-07-16 | GSE504 | GEO