Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA139581 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared. Gene expression profiles of Fo versus GC1 and GC2 B cells, respectively. Naïve Fo B cells were isolated from non-immunized BALB/c mice. Germinal center B cells sorted from spleen cell suspensions of BALB/-c mice immunized with the T cell dependent antigen 2-phenyl Oxazolone. GC1 B cells were isolated 7 days after primary immunization. GC2 cells were isolated 15 days after primary immunization. After total RNA extraction, reverse transcription, cDNA extraction, the biotinylated cRNA was transcribed, fragmented, and 15 µg cRNA hybridized in duplicates for each of the three groups to the GeneChip arrays. Group1: Fo, Group2: GC1, Group3: GC2. Lists of differentially regulated genes were created using High Performance Chip Data Analysis (HPCDA) with Bioretis database (http://www.bioretis-analysis.de). Worldwide data sharing is possible via Bioretis, please ask the authors.
2011-03-29 | E-GEOD-28237 | biostudies-arrayexpress
Project description:Upon immunization with a T cell dependent antigen naive follicular B cells (Fo) are activated and a germinal center reaction is induced. Within the next 2 weeks large germinal centers develop where the process of affinity maturation takes place. To analyze the gene expression profile of resting and activated B cells, follicular B cells (Fo), B cells from early (GC1) and late germinal centers (GC2) were isolated and their gene expression profile compared.
2011-03-29 | GSE28237 | GEO
Project description:Here we profiled fetal intestinal epithlelium derived organoids at day 3 (group1) and 30 (group2) of culture, adult orgnanoids at day 3 (group3) and 30 (group4) of culture and whole intestinal tissues at P0(group5) and adult (group6).
2018-12-01 | GSE118982 | GEO
Project description:Objectives: To identify gene expression changes in acne flare-up patients, thereby exploring the mechanisms of acne flare-up after treatment. Methods: 11 acne patients and 3 healthy people were divided into 4 groups (group1: 4 with flare-up, group2: 4 with improvement, group3: 3 without obvious changes, group4: healthy control). Peripheral blood of patients before and after isotretinoin or minocycline were collected. RNA-seq were used to detect the gene expression. We applied data in self-contrast and intergroup comparisons. Results: In the self-contrast of group1, 22 upregulated genes were involved in Toll-like receptor signaling pathway and inflammatory response. Comparing group1 and group3 before treatment, 1778 upregulated genes enriched in Th17 cell differentiation, while 57 downregulated genes enriched in defensive response to organism. Conclusions: The gene expression profiles of acne flare-up patients changed. Inflammatory, immune responses played a prominent role in acne flare-up process and relatively weak defensive response to microbes, comedogenesis might be risk factors.
2018-12-27 | GSE124389 | GEO
Project description:Genomic gains and losses, particularly amplification of oncogenes and deletion of tumor suppressor genes, are critical molecular events involved in tumorigenesis and cancer progression. These genomic structural abnormalities trigger pathway alterations which activate/inactivate transcription factors along protein network, and then affect gene transcription profiles. Therefore, trace-back analysis of the pathway alteration by integrating genomic copy number, transcription profile, and known protein network data is expected to provide key information to interpret tumorigenesis and cancer progression processes. However, there are a number of pathway alteration candidates, so that it is difficult to understand overall picture. Primitive approaches such as filtering by arbitrary selection of thresholds involve a risk of overlooking important pathway alterations and their triggers. We proposed a visualization method for the trace-back analysis of pathway alterations, called a Cluster Overlap Distribution Map (CODM). We applied the CODM to trace-back analysis of pathway alterations related to subtype classifications of high grade neuroendocrine carcinoma samples; 1) small cell lung carcinoma (SCLC) vs. large cell neuroendocrine carcinoma (LCNEC), and 2) group1 vs. group2 (this is the classification based on transcription profiles and group2 has a higher survival rate than group1). By effective use of 3D and color spaces, the CODM allowed us to understand the overall picture of pathway alteration without arbitrary selection of thresholds and to extract 6 pathway alterations related to only group1 vs. groups2, 2 pathway alterations related to only SCLC vs. LCNEC, and 2 pathway alterations related to both group1 vs. group2 and SCLC vs. LCNEC. Keywords: lung cancer profile
2022-04-01 | GSE9074 | GEO
Project description:Interventions: Group Control:Intravenous propofol;Group1:Remidazolam 0.3mg/kg i.v;Group2:Remazolam 6mg/kg/h by intravenous pump;Group3:Remidazolam 12mg/kg/h by intravenous pump
Primary outcome(s): systolic arterial pressure;arterial diastolic pressure;Mean arterial pressure;Heart rate
Study Design: Parallel
| 88222 | ecrin-mdr-crc
Project description:We want to obtain FLT3-ITD gene signature. To do so, we transduced CB CD34+ cells with mock or FLT3-ITD vectors and performed RNA sequencing (RNA-Seq). Two Groups: Group1: CB CD34+ cells transduced with mock vector; Group2: CB CD34+ cells transduced with FLT3-ITD vector;
2020-04-01 | GSE129754 | GEO
Project description:Persistence of effector memory Th1 cells is regulated by the homeobox only protein Group1 Hopx-/-, Group2 Hopx+/-, Group3 Hopx+/+
| PRJNA132673 | ENA
Project description:Purpose: The aim of this study was to give a comprehensive overview on spatial distribution of gene expression in the adult mouse retina and integrate this information into existing retinal gene expression databases. Methods: Total RNA was collected by laser capture microdissection from the ganglion cell layer, inner nuclear layer, photoreceptors and the retinal pigmented epithelium of adult mice and was analyzed by oligonucleotide microarrays. The results were validated by quantitative real time PCR and in situ hybridization. Results: The applied method resulted in good separation of cells of different retinal layers. The spatial distribution of gene expression was determined on a global scale in the retina and the RPE. Our results show good correlation with previously reported retinal gene expression and describe genes not yet characterized in the context of the retina. Conclusions: The complexity of the vertebrate retina makes it necessary to determine not only temporal but spatial distributions of gene expression .Our work expands the already significant but still incomplete knowledge of retinal gene expression and hopefully facilitates functional characterization of key factors of retinal development and maintenance. Laser capture microdissected regions of the adult mouse neuronal retina and retinal pigmented epithelium were subjected to microarray analysis. 5 conditions were investigated: ganglion cell layer (GCL, 3 biological replicates), innner nuclear layer (INL, 3 biological replicates), photoreceptor layer from Blk6 (PR-WT, 3 biological replicates) and NrlKO animals (PR-Nrl, 2 biological replicates) and retinal pigmented epithelium (RPE, 1 biological replicate). All samples are co-hybridized with a reference sample (retina). 2 or 3 technical replicates were used for each biological sample. technical replicate - labeled-extract: GC1-1, GC1-2, GC1-3 technical replicate - labeled-extract: GC2-1, GC2-2, GC2-3 technical replicate - labeled-extract: GCpool-1, GCpool-2, GCpool-3 technical replicate - labeled-extract: INL1-1, INL1-2, INL1-3 technical replicate - labeled-extract: INL2-1, INL2-2, INL2-3 technical replicate - labeled-extract: INLpool-1, INLpool-2, INLpool-3 technical replicate - labeled-extract: PR-Nrl1-1, PR-Nrl1-2 technical replicate - labeled-extract: PR-Nrl2-1, PR-Nrl2-2, PR-Nrl2-3 technical replicate - labeled-extract: PR-WT1-1, PR-WT1-2, PR-WT1-3 technical replicate - labeled-extract: PR-WT2-1, PR-WT2-2, PR-WT2-3 technical replicate - labeled-extract: PR-WTpool-1, PR-WTpool-2, PR-WTpool-3 technical replicate - labeled-extract: RPE-1, RPE-2, RPE-3
2009-12-31 | E-GEOD-19304 | biostudies-arrayexpress
Project description:To obtain a genomic view of hepatocyte nuclear factor-4α (HNF-4α) in the regulation of the inflammatory response, microarray analysis was used to probe the expression profile of an inflammatory response induced by cytokines in a model of knock-down HNF-4α HepG2 cells. The results indicate an extensive role for HNF-4α plays in the regulation of a large number of the liver-specific genes. Majority of genes (71%) affected by cytokine treatment are also affected by HNF-4α knock-down. This significant overlap suggests that HNF-4α may play a role in regulating the cytokine-induced inflammatory response. Experiment Overall Design: The different treated HepG2 cells were grouped into 4 groups (four replicates in each group): Group1, Control; Group2, HNF-4α shRNA treated cells; Group3, cytokine treated group; Group4, HNF-4α shRNA and cytokine treatments. RNA extraction and hybridization on Affymetrix microarrays were processed. The expression profiles between different groups were analyzed and compared. In order to explore the function of HNF-4α in the inflammatory response, a set of 170 genes annotated as inflammatory response was obtained from GO (geneotology.org), the enrichments of these inflammatory genes were analyzed in different treated groups.
2009-05-16 | E-GEOD-15991 | biostudies-arrayexpress