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PROVIDER: PRJEB21696 | ENA |
REPOSITORIES: ENA
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Project description:modENCODE_submission_762 This submission comes from a modENCODE project of Eric Lai. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: We plan to generate a comprehensive catalog of expressed and functional microRNAs, and generate biological evidence for their regulatory activity. We plan also to delineate the primary transcription units of microRNA genes. Finally, we plan to annotate other classes of non-miRNA expressed small RNAs, as least some of which may define novel classes of small RNA genes. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf EXPERIMENT TYPE: RNA-seq. BIOLOGICAL SOURCE: Strain: Canton-S; Tissue: L1 larvae; Replicate type: biological; Developmental Stage: 1st Instar Larvae; Sex: NA; EXPERIMENTAL FACTORS: Strain: Canton-S
2012-08-09 | E-GEOD-40045 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE11363: Female adult hornfly gene expression vs male adult hornfly gene expression GSE11364: Hornfly 1st instar larvae vs pooled adult + egg Refer to individual Series
2010-05-26 | E-GEOD-11828 | biostudies-arrayexpress
Project description:Mice were injected intravenously with 1st generation or 2nd generation Ad vectors (each bearing a LacZ transgene) or mock infected (controls) to completely transduce the liver. At different time points post-injection (6 hours, 3 days, and 3 weeks (21 days)), the liver was harvested and the overall transcriptome response to viral infection was assayed to measure the cellular immune response. Keywords: Immune Response
2005-12-15 | GSE3739 | GEO
Project description:Placental gene expression is a finely controlled process, yet little is known about the factors that regulate it, including epigenetic factors such as DNA methylation. In this study, we quantified the effects of DNA methylation on placental gene expression. Using targeted high throughput sequencing, we generated methylation profiles of 3.7 million CpG dinucleotides from 6 karyotypically normal CVS samples and compared these to gene expression data obtained from a publically available database. We found a broad association between methylation and gene expression at both the chromosome and individual gene levels. At the chromosome level, we found alternating domains of high and low methylation. Within each gene, we found distinct methylation patterns at different regulatory genetic elements. For example, the promoters of highly expressed genes were neither highly methylated, nor completely unmethylated. Rather, they had < 50% of the CG dinucleotides in their sequences in the methylated state. In contrast, promoters of unexpressed genes tended to be either highly methylated or fully unmethylated. Similarly, patterns of methylation in exons and introns differed between highly expressed and unexpressed genes. Our data show that the relationship between DNA methylation and gene expression is nuanced: highly expressed and unexpressed genes differ, not only by their extent of methylation, but also by minute changes in the locations of their methylation sites. DNA methylation analysis of placental genes may help predict abnormal placental gene expression and pregnancy complications, making it a possible tool for prenatal diagnosis. DNA from 6 chorionic villus samples from the 1st trimester (from 3 male and 3 female fetuses) as well as 3 maternal blood cell samples was extracted, hybridized to probes in the Agilent SureSelectXT Methyl-Seq Target Enrichment kit, targeting 84Mb of the genome and then bisulfite converted before sequencing.
2016-06-25 | E-GEOD-58826 | biostudies-arrayexpress
Project description:Epigenetics may play a central, but yet unexplored, role in the profound changes that the maternal immune system undergoes during pregnancy. We investigated changes in the methylome in isolated circulating CD4+ T cells in non-pregnant and pregnant women, during the 1st and 2nd trimester, using the Illumina Infinium Human Methylation 450K array, and explored how these changes were related to autoimmune diseases that are known to be affected during pregnancy. Pregnancy was associated with thousands of methylation differences, particularly during the 2nd trimester, where the majority of sites were hypermethylated, indicating transcriptional repression. Using a network-based modular approach disclosed several genes and pathways related to T cell signalling and activation. The pregnancy module was significantly enriched for disease-associated methylation changes related to multiple sclerosis, rheumatoid arthritis and systemic lupus erythematosus. The directionality of the changes was also in line with the previously observed effect of pregnancy on the disease activity, with a negative correlation for multiple sclerosis and rheumatoid arthritis that improves during pregnancy, and a positive correlation for systemic lupus erythematosus, a disease that instead worsens. In summary, this systems medicine approach supports the importance of the methylome in immune regulation of CD4+ T cells during pregnancy. Samples included twelve (n=12) non-pregnant women, elven (n=11) 1st trimester pregnant women and twelve (n=12)
2022-06-06 | GSE153459 | GEO
Project description:Memory B cells play essential roles in the maintenance of long-term immunity and may be important in the pathogenesis of autoimmune disease, but how these cells are distinguished from their naïve precursors is poorly understood. To address this, it would be important to understand how gene expression differs between memory and naive B cells in order to elucidate memory-specific functions. Using model systems that help overcome the lack of murine memory-specific markers and the low frequency of antigen-specific memory and naïve cells, we undertook a global comparison of gene expression between memory B cells and their naive precursors. 1st generation screen:; These data represent our first generation comparison of gene expression between murine naïve and memory splenic B cells. Naïve NP-binding splenic B cells were FACS purified from unimmunized mVh186.2 transgenic Balb/c mice. Memory B cells were generated by immunizing mVh186.2 transgenic Balb/c mice with 2 doses of NP-CGG in alum delivered i.p. 6 weeks apart. After a minimum of 12-weeks rest, NP-binding splenic B cells were isolated by FACS. Total RNA was extracted, cRNA synthesized and labeled and hybridized to Affymetrix mouse 430 2.0 chips. 2nd generation screen:; These data represent our second generation comparison of gene expression between murine naïve and memory splenic B cells. Naïve NP-binding AA4.1neg splenic B cells were FACS purified from unimmunized mVh186.2 transgenic Jk KO Balb/c mice. Memory B cells were generated from these naive precursors after adoptive transfer into recipients that mount poor endogenous NP-responses. 12-weeks post i.p. immunization with NP-CGG in alum, NP-specific splenic memory B cells were isolated by FACS. Total RNA was extracted, cRNA synthesized and labeled and hybridized to Affymetrix mouse 430 2.0 chips. Memory/Naïve comparison data linked below as Supplementary files. SERIES_CITATION: Tomayko, MM, Anderson, SM, Brayton CE, Sadanand, S, Steinel NC, Behrens, TW, Shlomchik, MJ. 2008. Systematic comparison of gene expression between murine memory and naïve B cells demonstrates that memory B cells have unique signaling capabilities. J. Immunol., in press, 2008. Experiment Overall Design: 1st generation screen: 7 samples, 3-4 biological replicates each of murine splenic naïve and memory B cells Experiment Overall Design: 2nd generation screen: 8 samples, 4 biological replicates each of murine splenic naïve and memory B cells
2008-06-18 | E-GEOD-11386 | biostudies-arrayexpress
Project description:Evaluation of different strategies to interpret metaproteomics data acquired on soil samples from a floodplain along the Seine River (France) incorporating sample-specific metagenomics data, soil genome catalogue database, and generic sequence database.
2022-02-17 | PXD026798 | Pride
Project description:It is a selection of public data from microbial cultures including bacteria and fungi
| MSV000090268 | MassIVE
Project description:Here, we applied a microarray-based metagenomics technology termed GeoChip 5.0 to examined functional gene structure of microbes in three biomes, including boreal, temperate and tropical area.
2024-05-10 | GSE172195 | GEO
Project description:modENCODE_submission_762 This submission comes from a modENCODE project of Eric Lai. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: We plan to generate a comprehensive catalog of expressed and functional microRNAs, and generate biological evidence for their regulatory activity. We plan also to delineate the primary transcription units of microRNA genes. Finally, we plan to annotate other classes of non-miRNA expressed small RNAs, as least some of which may define novel classes of small RNA genes. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
2012-08-10 | GSE40045 | GEO