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accession-icon GSE38712
Gene expression in germinal center light zone and dark zone B cells
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of human germinal center light and dark zone cells and their relationship to human B-cell lymphomas.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE69216
Expression profiles of murine FOXO1+/+ and FOXO1-null GC B cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The pathways regulating the formation of the germinal center (GC) dark- (DZ) and light- (LZ) zones are unknown. We show that FOXO1 expression is restricted to the GC DZ and is required for DZ formation, since its absence in mice leads to the complete loss of DZ gene programs and the formation of LZ-only GCs. FOXO1-negative GC B-cells display normal somatic hypermutation, but defective affinity maturation and class switch recombination. The function of FOXO1 in sustaining the DZ program involves the transactivation of the chemokine receptor CXCR4, and the cooperation with BCL6 in the trans-repression of genes involved in immune activation, DNA-repair and plasma cell differentiation. These results have also implications for understanding the role of FOXO1 mutations in lymphomagenesis.

Publication Title

The FOXO1 Transcription Factor Instructs the Germinal Center Dark Zone Program.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE38697
Gene expression in human germinal center light zone and dark zone B cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarrays of gene expression in human germinal center light zone and dark zone B cells sorted according to the expression of cell surface molecules CD83 and CXCR4

Publication Title

Identification of human germinal center light and dark zone cells and their relationship to human B-cell lymphomas.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE38696
Gene expression in mouse germinal center light zone and dark zone B cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarrays of gene expression in mouse germinal center light zone and dark zone B cells sorted according to the expression of cell surface molecules CD83 and CXCR4

Publication Title

Identification of human germinal center light and dark zone cells and their relationship to human B-cell lymphomas.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE38304
Gene Expression Profiles of MYC+ and MYC- mouse Germinal Center B cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Germinal centers (GC) arise within B cell follicles upon antigenic challenge. In the dark zones (DZ) of GCs, B cells proliferate and hypermutate their immunoglobulin genes, and mutants with increased affinity are positively selected in the light zone (LZ) to either differentiate into plasma and memory cells, or re-enter the DZ for further refinement. However, the molecular circuits governing GC positive selection are not known. Here, we show that the GC reaction requires the biphasic regulation of c-MYC expression, involving its transient induction during early GC commitment, its repression by BCL6 in DZ B cells, and its re-induction in a subpopulation of positively selected LZ B cells destined to DZ re-entry. Accordingly, acute disruption of MYC function in vivo leads to GC collapse, indicating an essential role in GC physiology. These results have implications for our understanding of GC selection and the role of MYC deregulation in B cell lymphomas.

Publication Title

The proto-oncogene MYC is required for selection in the germinal center and cyclic reentry.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP106808
Signatures of positive selection in germinal center B cells
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used RNA sequencing to characterize gene expression of Ly75+/+ B1-8hi and Ly75-/- B1-8hi B cells from the germinal center light zone (LZ) 12 h after forcing positive selection of the Ly75+/+ population with anti-DEC205-OVA. Overall design: We primed C57BL/6 hosts with OVA-alum i.p. and after 2 weeks we adoptively transferred a mixture of B1-8hi B cells in which 15% were Ly75+/+ CD45.1 (DECP) and 85% were Ly75-/- CD45.1/2 (DECN). We then immunized the animals with NP-OVA in the footpads and after 6 days we injected anti-DEC205-OVA. 12 h or 24 h after anti-DEC205-OVA injection we sorted B220+ CD38- CD95+ CD45.1+ CD45.2- CD83hi CXCR4lo (DECPLZ) and B220+ CD38- CD95+ CD45.1+ CD45.2+ CD83hi CXCR4lo (DECNLZ) cells for whole transcriptome analysis by mRNA sequencing.

Publication Title

Germinal Center Selection and Affinity Maturation Require Dynamic Regulation of mTORC1 Kinase.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE67388
Gene expression profile analysis of conditional Mll2 knockout germinal center B cells and littermate controls
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Somatic mutations of the MLL2 methyltransferase gene represent a common genetic lesion in multiple cancer types. In diffuse large B cell lymphoma (DLBCL) and follicular lymphoma (FL) (collectively, over 70% of all lymphoma diagnoses), these mutations are highly recurrent and appear early during transformation, possibly in pre-malignant precursors. Here we show that FL- and DLBCL-associated MLL2 mutations impair its enzymatic activity and lead to diminished global H3K4 methylation in normal germinal-center (GC) B cells and DLBCL, consistent with the enrichment of MLL2 binding at enhancer and promoter regions marked by mono- and tri-methylation. Conditional deletion of Mll2 early during B cell development, but not after initiation of the GC reaction, leads to increased percentages and numbers of GC B cells, which feature a distinct transcriptional profile defined by the enrichment of cell-cycle regulatory and B-cell receptor signaling genes. Consistently, Mll2-deficient B cells exhibit proliferative advantage and accumulation in the S phase of the cell cycle, which is influenced by the number of cell divisions. While GC-specific loss of Mll2 was not sufficient to initiate malignant transformation, compound Mll2-deficient/BCL2-transgenic mice displayed an increased incidence of clonal lymphoproliferations resembling the features of human FL and DLBCL. These findings suggest that early MLL2 loss favors BCL2-induced lymphomagenesis by remodeling the epigenetic landscape of the cancer precursor cells. Eradication of MLL2-deficient cells may represent a rational therapeutic approach targeting early tumorigenic events.

Publication Title

Disruption of KMT2D perturbs germinal center B cell development and promotes lymphomagenesis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE71274
IFNg+ vs IFNg- Treg
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression studies comparing IFNg+ Tregs versus IFNg- Tregs from human peripheral blood

Publication Title

AKT isoforms modulate Th1-like Treg generation and function in human autoimmune disease.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP081553
Characterization of genetic loss-of-function of Fus in zebrafish
  • organism-icon Danio rerio
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The RNA-binding protein FUS is implicated in transcription, alternative splicing of neuronal genes and DNA repair. Mutations in FUS have been linked to human neurodegenerative diseases such as ALS (amyotrophic lateral sclerosis). We genetically disrupted fus in zebrafish (Danio rerio) using the CRISPR-Cas9 system. The fus knockout animals are fertile and did not show any distinctive phenotype. Mutation of fus induces mild changes in gene expression on the transcriptome and proteome level in the adult brain. We observed a significant influence of genetic background on gene expression and 3’UTR usage, which could mask the effects of loss of Fus. Unlike published fus morphants, maternal zygotic fus mutants do not show motoneuronal degeneration and exhibit normal locomotor activity. Overall design: We performed paired-end sequencing (100bp reads) of the polyA+ transcriptome from brains of five individuals with Fus-/- genotype and four with Fus wild type genotype. Note on RNA-Seq replicates: after performing first RNA sequencing on four replicates of Fus-/- and WT (labeled with the prefix "Sample_imb_ketting_2014_13_") we received a notice from Illumina stating a problem with the library preparation kit lot that was used to prepare the libraries. Due to that, we performed RNA sequencing a second time, using the same input RNA, except for the Fus knockout replicate #3, because there was not enough input RNA left. Instead, a different Fus knockout replicate (#1) was sequenced. However, we compared the mapped reads from sequencing run 1 and sequencing run 2 using plotCorrelaction from DeepTools, and the samples are highly correlated (at least 0.97 and 0.95, Spearman and Pearson correlation respectively). Therefore, we considered first ("Sample_imb_ketting_2014_13_") and second sequencing runs as technical replicates.

Publication Title

Characterization of genetic loss-of-function of Fus in zebrafish.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP108341
TrapSeq: An RNA Sequencing-based pipeline for the identification of genetrap insertions in mammalian cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Current pipelines used to map genetrap insertion sites are based on inverse- or splinkerette-PCR methods, which despite their efficacy are prone to artifacts and do not provide information on the impact of the genetrap on the expression of the targeted gene. We developed a new method, which we named TrapSeq, for the mapping of genetrap insertions based on paired-end RNA sequencing. By recognizing chimeric mRNAs containing genetrap sequences spliced to an endogenous exon, our method identifies insertions that lead to productive trapping. Overall design: We conducted two independent screenings for sensitivity against 6-thioguanine (6TG) and an ATR inhibitor (ATRi). We applied our RNAseq-based pipeline (TrapSeq) to identify mutations that provide resistance to these reagents. Importantly, and besides its use for screenings, when applied to individual clones our method provides a fast and cost-effective way that not only identifies the insertion site of the genetrap but also reveals the impact of the insertion on the expression of the trapped gene. Please note that HAP1, haploid for all chromosomes, derives from near-haploid KBM7 parent line which was in turn obtained from a chronic myeloid leukemia patient in blast crisis phase (Carette et al. Nature 477:340-343, 2011).

Publication Title

Trap<sup>Seq</sup>: An RNA Sequencing-Based Pipeline for the Identification of Gene-Trap Insertions in Mammalian Cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
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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)

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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.

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