refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 22 results
Sort by

Filters

Technology

Platform

accession-icon GSE19756
Gene Expression Profiling Data of African Malaria Vector Anopheles gambiae Aging
  • organism-icon Anopheles gambiae
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Plasmodium/Anopheles Genome Array (plasmodiumanopheles)

Description

Senescence is a biological phenomenon experienced by all living eukaryote organisms. Genome-wide gene expression associated with aging has been explored in model organisms such as Drosophila melanogaster and Caenorhabditis elegans, but this has not been well understood in African malaria vector, Anopheles gambiae. Gene expression profiling using DNA microarray allows for simultaneous study of changes in mRNA levels for thousands of genes. This study examined genome-wide gene expression during aging process in An. gambiae. The influence of blood feeding on gene expression was also examined. The data can be used to further our understanding of mosquito senescence and identify biomarkers for mosquito age grading.

Publication Title

Genome-wide patterns of gene expression during aging in the African malaria vector Anopheles gambiae.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP014191
Comparative transcriptome analyses of deltmethrin resistant and suscpetible Anopheles gambiae mosquitoes
  • organism-icon Anopheles gambiae
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

we report the RNA-seq based analyses of the transcriptional changes in the Anopheles gambiae mosquitoes from East Africa classified as deltamethrin-resistant or -suscpetible accordign the WHO test Overall design: comparison of the transcriptome of Anopheles gambiae mosquitoes with phenotypically resistant or suscpetible to deltamethrin

Publication Title

Comparative transcriptome analyses of deltamethrin-resistant and -susceptible Anopheles gambiae mosquitoes from Kenya by RNA-Seq.

Sample Metadata Fields

Subject

View Samples
accession-icon SRP068458
Independent roles of switching and hypermutation in the development and persistence of B lymphocyte memory [IgM_IgG1]
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Somatic hypermutation (SHM) and class switch recombination (CSR) increase the affinity and diversify the effector functions of antibodies during immune responses. Although SHM and CSR are fundamentally different, their independent roles in regulating B cell fate have been difficult to uncouple because a single enzyme, activation-induced cytidine deaminase (encoded by Aicda), initiates both reactions. Here, we used a combination of Aicda and antibody mutant alleles that separate the effects of CSR and SHM on polyclonal immune responses. We found that class-switching to IgG1 biased the fate choice made by B cells, favoring the plasma cell over memory cell fate without significantly affecting clonal expansion in the germinal center (GC). In contrast, SHM reduced the longevity of memory B cells by creating polyreactive specificities that were selected against over time. Our data define the independent contributions of SHM and CSR to the generation and persistence of memory in the antibody system. Overall design: IgG1 and IgM light zone (LZ) and dark zone (DZ) germinal center (GC) B cells were compared in immunized AIDcre/- IgH-96K/+ R26-LSL-YFP mice.

Publication Title

Independent Roles of Switching and Hypermutation in the Development and Persistence of B Lymphocyte Memory.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP068460
Independent roles of switching and hypermutation in the development and persistence of B lymphocyte memory [Nurr77]
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Somatic hypermutation (SHM) and class switch recombination (CSR) increase the affinity and diversify the effector functions of antibodies during immune responses. Although SHM and CSR are fundamentally different, their independent roles in regulating B cell fate have been difficult to uncouple because a single enzyme, activation-induced cytidine deaminase (encoded by Aicda), initiates both reactions. Here, we used a combination of Aicda and antibody mutant alleles that separate the effects of CSR and SHM on polyclonal immune responses. We found that class-switching to IgG1 biased the fate choice made by B cells, favoring the plasma cell over memory cell fate without significantly affecting clonal expansion in the germinal center (GC). In contrast, SHM reduced the longevity of memory B cells by creating polyreactive specificities that were selected against over time. Our data define the independent contributions of SHM and CSR to the generation and persistence of memory in the antibody system. Overall design: IgG1 and IgM light zone (LZ) germinal center (GC) B cells that were Nurr77-GFP+ or Nurr77-GFP- were compared in immunized AIDcre/- IgH-96K/+ Nurr77-GFP mice.

Publication Title

Independent Roles of Switching and Hypermutation in the Development and Persistence of B Lymphocyte Memory.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP061538
T cell help controls the speed of the cell cycle in germinal center B cells.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The germinal center (GC) is a microanatomical compartment wherein high-affinity antibody-producing B cells are selectively expanded. B cells proliferate and mutate their antibody genes in the dark zone (DZ) of the GC and are then selected by T cells in the light zone (LZ) on the basis of affinity. Here, we show that T cell help regulates the speed of cell cycle phase transitions and DNA replication of GC B cells. Genome sequencing and single-molecule analyses revealed that T cell help shortens S phase by regulating replication fork progression while preserving the relative order of replication origin activation. Thus, high-affinity GC B cells are selected by a mechanism that involves prolonged dwell time in the DZ where selected cells undergo accelerated cell cycles. Overall design: To determine whether GC B cells receiving high levels of T cell help show a specific change in gene expression, we compared DZ cells in the G1 phase of the cell cycle from aDEC-OVA and control aDEC-CS treated GCs using a fluorescent ubiquitination-based cell cycle indicator (Fucci-tg). RNA sequencing revealed that T cell-mediated selection produced an increase in gene expression programs associated with the cell cycle, metabolism, including the metabolism of nucleotides, and genes downstream of c-Myc and the E2F transcription factors.

Publication Title

HUMORAL IMMUNITY. T cell help controls the speed of the cell cycle in germinal center B cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE71031
Hypoxia increases genome-wide bivalent epigenetic marking by specific gain of H3K27me3
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Illumina Genome Analyzer IIx

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Hypoxia increases genome-wide bivalent epigenetic marking by specific gain of H3K27me3.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE36379
Expression data from mouse pancreatic cell lines treated with chromatin-targeting small molecules
  • organism-icon Mus musculus
  • sample-icon 594 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

We measured the genome-wide expression changes induced by 29 compounds targeting HDACs, DNMTs, histone lysine methyltransferases (HKMTs), and protein arginine methyltransferases (PRMTs) in pancreatic - and -cell lines.

Publication Title

Chromatin-targeting small molecules cause class-specific transcriptional changes in pancreatic endocrine cells.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE75802
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015)
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE75800
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015), Exp 1
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Experiment 1 - miR-155 and miR-199 Phenotype

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE75801
Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner (RNA 2015), Exp 2
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Experiment 2 - MiRNA mimics have a length and passenger strand specific effect

Publication Title

Double-stranded microRNA mimics can induce length- and passenger strand-dependent effects in a cell type-specific manner.

Sample Metadata Fields

Cell line

View Samples

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

BSD 3-Clause LicensePrivacyTerms of UseContact