Transcriptome Analysis of the Zebrafish Mind Bomb Mutant
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ABSTRACT:
ORGANISM(S): Danio rerio
SUBMITTER: Sanggyu Lee
PROVIDER: E-GEOD-13050 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
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: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
2005-03-01 | GSE2346 | GEO
Project description:The interaction of Cryptococcus neoformans with phagocytic cells of the innate immune system is a key step in disseminated disease leading to meningoencephalitis in immunocompromised individuals. Transcriptional profiling of cryptococcal cells harvested from cell culture medium or from macrophages found differential expression of metabolic and other functions during fungal adaptation to the intracellular environment by SAGE analysis. We focused on the ACL1 gene for ATP-citrate lyase, which converts citrate to acetyl-CoA, because this gene showed elevated transcript levels in macrophages and because of the importance of acetyl-CoA as a central metabolite. Mutants lacking ACL1 showed delayed growth on medium containing glucose, reduced cellular levels of acetyl-CoA, defective production of virulence factors, increased susceptibility to the antifungal drug fluconazole and decreased survival within macrophages. Importantly, acl1 mutants were unabl e to cause disease in a murine inhalation model, a phenotype that was more extreme than other mutants with defects in acetyl-CoA production (e.g., an acetyl-CoA synthetase mutant). Loss of virulence is likely due to perturbation of critical physiological interconnections between virulence factor expression and metabolism in C. neoformans. Phylogenetic analysis and structural modeling of cryptococcal Acl1 identified three indels unique to fungal protein sequences; these differences may provide opportunities for the development of pathogen-specific inhibitors. SAGE analysis of C. neoformans cells isolated from macrophages The murine macrophage-like cell line J774A.1 was maintained at 37M-BM-0C in 10% CO2 in Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% heat-inactivated fetal calf serum (FBS), 1% nonessential amino acids, 100 M-BM-5g mL-1 penicillin-streptomycin, and 4 mM L-glutamine (Invitrogen). Cryptococcus cells were opsonized with monoclonal antibody 18B7 against capsule (1 M-BM-5g mL-1), and macrophages were treated with recombinant mouse gamma interferon (IFN-gamma) (50 U mL-1) and lipopolysaccharide (LPS) (0.3 M-BM-5g mL-1) prior to co-incubation at a multiplicity of infection (MOI) of 1:1. Macrophages were inoculated with H99 cells and washed after 1 h of inoculation to remove unattached, extracellular fungal cells. After 6 h of incubation, sterile, ice-cold distilled H2O was applied to each well to lyse the macrophages, and the fungal cells (4 x 107) were harvested by centrifugation. H99 control cells were prepared by growth under the same condition but without macrophages, and 108 cell s were harvested. SAGE library construction, sequencing and analysis SAGE library construction, sequencing and analysis were as previously described (Hu et al., 2007; Hu et al., 2008; Steen et al., 2002; Steen et al., 2003). Briefly, RNA was isolated from lyophilized cells by vortexing with glass beads (3.0 mm, acid-washed and RNase-free) for 15 min in 15 mL of TRIZOL extraction buffer (Invitrogen, Carlsbad, CA, USA). The mixture was incubated for 15 min at room temperature and total RNA was isolated according to the manufacturer's instructions. Total RNA was used directly for SAGE library construction as described by Velculescu et al. (1995) using the I-Long SAGE kit (Invitrogen). The tagging enzyme for cDNA digestion was NlaIII and 29 PCR cycles were performed to amplify the ditags during library construction. Colonies were screened by PCR (M13F and M13R primers) to assess the average clone insert size and the percentage of recombinants. Clones from the libraries were sequenced by BigDye primer cycle sequencing on an ABI PRISM 3700 DNA analy zer. Sequence chromatograms were processed using PHRED (Ewing et al., 1998), and vector sequence was detected using Cross_match (Gordon et al., 1998). Fourteen-base-pair tags were extracted from the vector-clipped sequence, and an overall quality score for each tag was derived based on the cumulative PHRED score. Duplicate ditags and linker sequences were removed as described previously (Steen et al., 2002). Only tags with a predicted accuracy of 99% were used, and statistical differences between tag abundance in different libraries were determined as described (Audic and Claverie, 1997). The libraries yielded 23,904 tags from cells grown in media without macrophages for 6hr and 38,5444 tags from cells grown in media with macrophages for 6hr. An overview of the abundance classes for both SAGE libraries is presented in Table S1 in the supplementary material, with both the number of different tag sequences and the total number of tags present in each class for the cells from th e 6h infection and the control. All libraries were normalized to 23,904 to allow direct comparisons, and the tags that appeared less than once in any given library were removed. The EST database available for strain H99 at the University of Oklahoma's Advanced Center for Genome Technology http://www.genome.ou.edu/cneo.html) was used for the preliminary assignment of tags to genes. When an EST sequence could not be identified for a particular tag, the genomic sequence for H99 at the Duke University Center for Genome Technology (http://cgt.genetics.duke.edu/data/index.html) and the Broad Institute (http://cneo.genetics.duke.edu/) was used to identify contigs with unambiguous tag assignments. Note that a limitation of the SAGE approach is that some transcripts are not detected because of low abundance and/or the absence of an NlaIII site for transcript processing. The control (fungal cells alone) and cryptococcal-macrophage interaction SAGE datasets were deposited to the NCBI under accession number GSM986206 and GSM986207 respectively.
2013-08-15 | E-GEOD-41066 | biostudies-arrayexpress
Project description:To identify functions that distinguish the posterior and median cells producing fibroin and sericin in the silk gland of Bombyx mori, serial analysis of gene expression (SAGE) profiles from both silk gland regions were analyzed and compared. The construction of a B. mori reference tag collection extracted from a set of 38000 Bombyx EST sequenced from the 3’ side, helped annotating the SAGE libraries. Most of the tags appeared at similar relative concentration in the two libraries except for those corresponding to silk proteins that were found region-specific and highly abundant. Strikingly, besides tags from silk protein mRNAs, 19 tags were found in the class of high abundance in the median cell library, which were absent in the posterior cell tag collection. Except tags from SP1 mRNA, no PSG specific tags were found in the same class of abundance. The analysis of MSG-specific different transcripts led to suggest that middle silk gland cell realizes more diversified functions as those already known, of synthesis and secretion of the silk sericins. EST libraries from 11 silkworm tissues were 3’-sequenced to ensure the identification of the most terminal tag. 37,920 sequences were analyzed on ABI 3700 or 3730XL sequencers. Electrophoregrams were processed with KB Basecaller (3730XL traces) or with PHRED (3700 traces) to obtain the .phd files from which were extracted text sequences and their corresponding quality files in Fasta format (Phd2Fasta, Green and Ewing, 1995; 2002). Vector sequences and bad quality regions were removed with an home made software after identification by Lucy (Chou and Holmes, 2001). Chimera were removed by an home made software and retrotransposon sequences were masked by RepeatMasker (http://repeatmasker.org). The cleaned sequences were clusterized with TGICL package (TIGR) and assembled into contigs with CAP3 (Huang and Madan, 1999). Contigs were identified with Blastn and Blastx on GenBank and SwissProt/TREMBL, respectively. Some clusters, splitted by CAP3 procedure, have been regrouped on the basis of Blastx identity. Identitag (Keime et al., 2004) was used to extract all possible tags (forward and reverse) to create a reference database. Moreover, a quality index is attached to each tag depending to the presense of poly-A, polyadenylation signal and its proximity to 3-prime extremity in the original mRNA sequence. This database was supplemented with the tags extracted from public B. mori sequences (GenBank, Silkbase) with the same software. Tags were extracted from MSG and PSG libraries (from 2304 and 3072 sequenced inserts respectively) with the Sagenhaft software (Beissbarth et al., 2004) then identified and compared with Identitag. The assessment of significant differences among the two libraries was performed by using the Z-test used for comparison of SAGE libraries of different size (Kal et al., 1999). For graphic purpose and to avoid division by zero we used a tag value of 1 for tags that were not detected in MSG or PSG libraries. Since the two SAGE libraries showed up different TAG number, we used the Z-test for comparing the two mRNA populations.
2010-12-22 | E-GEOD-23098 | biostudies-arrayexpress
Project description:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes. Mouse hematopoietic stem cells were purified from bone marrow cells using negative and positive selection with a Magnetic-Activated Cell Sorter (MACS). total RNA and mRNA were purified from the purified cells using Trizol reagent and magnetic oligo dT beads. Double strand cDNAs were synthesized using a cDNA synthesis kit and anchored oligo dT primers. After NlaIII digestion, 3’ cDNAs were isolated and amplified through 16-cycle PCR. SAGE tags were released from the 3’ cDNA after linker ligation. Ditags were formed, concatemerized and cloned into a pZERO vector. Sequencing reactions were performed with the ET sequencing terminator kit. Sequences were collected using a Megabase 1000 sequencer. SAGE tag sequences were extracted using SAGE 2000 software.
2009-05-20 | E-GEOD-16139 | biostudies-arrayexpress
Project description:Using the RL-SAGE method (Gowda et al. 2004), a maize leaf longSAGE library (cv. inbred line B73) was constructed. Leaf tissues were harvested from 4-week old B73 plants for RNA isolation. The conditions in the growth chamber were 12 h light (500 µmol photons m-2 sec-1), 20oC at night, 26oC in the day and 85% relative humidity. A total of 44,870 unique tags (17 bases +CATG) were identified from 232,948 individual tags in the maize leaf library.
2010-12-10 | GSE25994 | 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: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:This study characterizes the expressed transcripts of 15 intact tissues in mice by using the serial analysis of gene expression (SAGE) strategy which indicates the relative level of expression for each transcript matched to the tag. Keywords: double-strand cDNA , serial analysis of gene expression (SAGE) , ditags Total RNA was isolated from tissues by using the RNA extraction kit (TRIzol Reagent, Invitrogen Canada Inc., Burlington, ON). Approximately 5 µg of mRNA was extracted with Oligotex mRNA Mini Kit (Qiagen Inc., Mississauga, ON). The SAGE method was performed as previously described (Velculescu et al., 1995; St-Amand et al., 2001). In brief, double-strand cDNA was synthesized from the mRNA using a biotinylated (T)18 primer and cDNA synthesis kit (Invitrogen Canada Inc.). The cDNA libraries were digested with the restriction enzyme NlaIII (New England Biolabs Inc., Pickering, ON). The 3'-terminal cDNA fragments were captured using streptavidin-coated magnetic beads (Dynal, Biotech LLC, Brown Deer, WI). After ligation of 2 annealed linker pairs, the cDNA fragments were digested with BsmFI (New England Biolabs Inc.). The blunting kit from Takara Bio Inc. (Otsu, Japan) was used for the blunting and ligation of the two tag populations. The resulting ligation products were amplified by PCR and digested with NlaIII. The band containing the ditags was extracted from the 12% polyacrylamid gel. Using T4 ligase (Invitrogen Canada Inc.), the ditags were self-ligated to form concatemers that were cloned into SphI site of pUC19. White colonies were screened by PCR and agarose gel to select long inserts for automated sequencing (Applied Biosystems 3730, Foster City, CA). The sequence and occurrence of each tag were analyzed by the SAGEana program, which is a new version of SAGEparser.pl (Dinel et al., 2005).
2007-04-03 | E-GEOD-5915 | biostudies-arrayexpress