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accession-icon SRP010647
Dosage imbalance of NMD genes is associated with intellectual disability
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Nonsense-mediated mRNA decay (NMD) functions to degrade transcripts bearing premature stop codon (PTC) and is a crucial regulator of gene expression. NMD and the UPF3B gene have been implicated as the cause of various forms of intellectual disability (ID) and other neurological symptoms. Here, we reports three patients with global developmental delay carrying hemizygous deletions of the UPF2 gene, another important member of the NMD pathway and direct interacting partner of UPF3B. Overall design: Using RNA-SEQ on lymphoblastoid cells from UPF2 deletion patients, we identified 1009 differently expressed genes (DEGs). 38% of these DEGs overlapped with DEGs identified in UPF3B patients. More importantly, 95% of all DEGs in either UPF2 or UPF3B patients share the same trend of de-regulation. This demonstrates that the transcriptome deregulation in these two patient groups is similar and that UPF2 should be considered as a new candidate gene for ID in man. We expanded our inq`uiries and performed a comprehensive search for copy number variations (CNVs) encompassing all NMD genes in cohorts of ID patients and controls. We found that UPF2, UPF3A, Y14, SMG6 and EIF4A3 are frequently deleted and/or duplicated in ID patients. These CNVs are likely to be the root of the problems or to act as predisposing factors. Our results suggest that dosage imbalance of NMD factors is associated with ID and further emphasize the importance of NMD in normal learning and memory processes.

Publication Title

Contribution of copy number variants involving nonsense-mediated mRNA decay pathway genes to neuro-developmental disorders.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP067173
HSB-2 cells stably expressing LDB1 or mutant LDB1 proteins
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

LMO2 is a component of multisubunit DNA-binding transcription factor complexes that regulate gene expression in hematopoietic stem and progenitor cell development. Enforced expression of LMO2 causes leukemia by inducing hematopoietic stem cell-like features in T-cell progenitor cells, but the biochemical mechanisms of LMO2 function have not been fully elucidated. In this study we systematically dissected the LMO2/LDB1 binding interface to investigate the role of this interaction in T-cell leukemia. Alanine scanning mutagenesis of the LIM interaction domain of LDB1 revealed a discrete motif R320LITR required for LMO2 binding. Most strikingly, co-expression of full length, wild type LDB1 increased LMO2 steady state abundance, whereas co-expression of mutant proteins deficient in LMO2 binding compromised LMO2 stability. These mutant LDB1 proteins also exerted dominant negative effects on growth and transcription in diverse leukemic cell lines. Raw gene expression data on HSB-2 cells is presented here. Overall design: RNAseq were performed on HSB cell lines to examine their expression patterns

Publication Title

LMO2 Oncoprotein Stability in T-Cell Leukemia Requires Direct LDB1 Binding.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE101102
Gene expression response to altered gravity, simulated gravity and hypergravity in human T cells
  • organism-icon Homo sapiens
  • sample-icon 87 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Stability of gene expression in human T cells in different gravity environments is clustered in chromosomal region 11p15.4.

Sample Metadata Fields

Cell line

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accession-icon GSE94256
Dynamic gene expression response to altered gravity in human T cells
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dynamic gene expression response to altered gravity in human T cells.

Sample Metadata Fields

Cell line

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accession-icon GSE94255
Dynamic gene expression response to altered gravity in human T cells (sounding rocket flight)
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We investigated differentially regulated genes in human Jurkat T lymphocytic cells in 20s and 5min microgravity and in hypergravity and compared expression profiles to identify potential gravity-regulated genes and adaptation processes.

Publication Title

Dynamic gene expression response to altered gravity in human T cells.

Sample Metadata Fields

Cell line

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accession-icon GSE101101
Gene expression response to simulated gravity and hypergravity in human T cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We investigated differentially regulated and stably expressed genes in human Jurkat T lymphocytic cells in 5min simulated microgravity and hypergravity and compared expression profiles to identify gravity-regulated and unaffected genes as well as adaptation processes.

Publication Title

Stability of gene expression in human T cells in different gravity environments is clustered in chromosomal region 11p15.4.

Sample Metadata Fields

Cell line

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accession-icon GSE94253
Dynamic gene expression response to altered gravity in human T cells (parabolic flight)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

We investigated differentially regulated genes in human Jurkat T lymphocytic cells in 20s and 5min microgravity and in hypergravity and compared expression profiles to identify potential gravity-regulated genes and adaptation processes.

Publication Title

Dynamic gene expression response to altered gravity in human T cells.

Sample Metadata Fields

Cell line

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accession-icon SRP057302
RNA seq of pancreatic islets isolated from free fatty acid receptor 3 knockout (Ffar3 KO) and wildtype (Ffar3 WT) male mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The short chain fatty acid (SCFA) receptor (free fatty acid receptor-3; FFAR3) is expressed in pancreatic beta cells; however, its role in insulin secretion is not clearly defined. Here, we examined the role of FFAR3 in insulin secretion. Using islets from global knockout FFAR3 (Ffar3-/-) mice, we explored the role of FFAR3 and ligand-induced FFAR3 signaling on glucose stimulated insulin secretion. RNA sequencing was also performed to gain greater insight into the impact of FFAR3 deletion on the islet transcriptome. First exploring insulin secretion, it was determined that Ffar3-/- islets secrete more insulin in a glucose-dependent manner as compared to wildtype (WT) islets. Next, exploring its primary endogenous ligand, propionate, and a specific agonist for FFAR3, signaling by FFAR3 inhibited glucose-dependent insulin secretion, which occurred through a Gai/o pathway. To help understand these results, transcriptome analyses by RNA-sequencing of Ffar3-/- and WT islets observed multiple genes with well known roles in islet biology to be altered by genetic knockout of FFAR3. Our data shows that FFAR3 signaling mediates glucose stimulated insulin secretion through Gai/o sensitive pathway. Future studies are needed to more rigorously define the role of FFAR3 by in vivo approaches. Overall design: Analysis of total RNA from 3 biological replicates of pancreatic islets isolated from free fatty acid receptor 3 knockout (Ffar3 KO) and wildtype (Ffar3 WT) male mice

Publication Title

FFAR3 modulates insulin secretion and global gene expression in mouse islets.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP068938
RNA-seq analysis of hair follicle stem cell transcriptome upon loss of the transcription factor FOXC1
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report downstream gene expression changes in stem cells of the adult mouse hair follicle upon conditional ablating of the transcription factor Forkhead Box C1 transcription factor (FOXC1). Hair follicles undergo cycles of rest (telogen; Tel) and regeneration (anagen; Ana). As such, we performed our analysis on these two different stages of hair follicles. Overall design: mRNA-sequencing of WT vs. Foxc1-conditional or inducible KO (Foxc1-cKO or iKO) hair follicle stem cells (HFSCs) purified from mouse dorsal back skin by flow-activated cell sorting (FACS).

Publication Title

FOXC1 maintains the hair follicle stem cell niche and governs stem cell quiescence to preserve long-term tissue-regenerating potential.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE11899
Gene expression in Dicer-deficient mouse liver
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background & Aims: MiRNAs are small (~22 nucleotide), non-coding RNA molecules that regulate gene expression through imperfect complementarity with target messenger RNAs. The function of miRNA in mammalian organogenesis is largely unknown. Conditional loss-of-function of Dicer, the enzyme that processes precursor miRNA transcripts into their mature, active form, has been shown to cause severe defects in a number of organ systems. Here we address the role of Dicer in liver development and function. Methods: Mice lacking Dicer function in hepatocytes were generated using an Afp-Cre strain to drive deletion of a floxed Dicer allele. Deletion of the flox-dicer allele was confirmed by quantitative PCR. Decreased miRNA levels detected by quantitative RT-PCR and in situ hybridization confirmed loss of Dicer function. Gene expression microarray analysis was performed on liver RNA from P28 mutant and control mice. Liver sections from mutant and control mice ranging from embryonic stages through 3-4 months of age were examined and liver function tests were performed on adult mice. Results: Mice lacking hepatocyte Dicer function were born alive at the expected frequency, and had grossly normal appearance and behavior. Despite the loss of mature miRNA, hepatic function was normal, as reflected by normal blood gludose, albumin, cholesterol, and bilirubin. However, mutant mice between 2-4 months of age exhibit progressive hepatocyte damage, elevated ALT/AST, with evidence of balanced proliferation and apoptosis in the lobule. Microarray analysis indicates large-scale changes in gene expression, with increased expression of many miRNA targets, as well as imprinted genes. Conclusions: Loss of miRNA processing in the liver at late gestation has a remarkably mild phenotype, suggesting that miRNAs do not play an essential role in hepatic physiology. However, miRNA deficiency results in hepatocyte apoptosis and balanced hepatocyte regeneration. Finally, microarray analysis of gene expression in mutant liver suggests a previously unrecognized role for Dicer in the repression of imprinted genes.

Publication Title

Hepatic function is preserved in the absence of mature microRNAs.

Sample Metadata Fields

Age, Specimen part

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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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