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accession-icon GSE12837
Gene expression in human myeloid cells.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.

Publication Title

Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12803
Gene expression in human myeloid cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.

Publication Title

Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE22107
Responses of fully proliferating Arabidopsis leaves to short-term osmotic stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Drought is an important environmental factor affecting plant growth and biomass production. Despite this importance little is known on the molecular mechanisms regulating plant growth under water limiting conditions. The main goal of this work was to investigate, using a combination of growth and molecular profiling techniques, how stress arrests CELl proliferation in Arabidopsis thaliana leaves upon osmotic stress imposition.

Publication Title

Pause-and-stop: the effects of osmotic stress on cell proliferation during early leaf development in Arabidopsis and a role for ethylene signaling in cell cycle arrest.

Sample Metadata Fields

Specimen part

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accession-icon GSE111809
Follistatin dysregulates systemic glucose homeostasis during hepatic insulin resistance
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Inactivating hepatic follistatin alleviates hyperglycemia.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE111745
Gene expression in the liver of mice infected with Fst288-AAV-TBG
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

We compared RNA expression profiles of wild type of mice maintained on high fat diet or Irs1/2:foxo1-LTKO mice infected with Fst288 AAV-TBG virus

Publication Title

Inactivating hepatic follistatin alleviates hyperglycemia.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE111744
Gene expression in epigonadal white adipose tissue of LDKO and LTKO mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

We compared RNA expression profiles of eWAT obtained from Cntr- and LDKO-mice, and Cntr3- and LTKO-mice.

Publication Title

Inactivating hepatic follistatin alleviates hyperglycemia.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP073118
Role of transcriptional coregulator GRIP1 in control of macrophage polarization and metabolic homeostasis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Diet-induced obesity is characterized by macrophage (MF) infiltration and low-grade chronic inflammation in white adipose tissue (WAT) leading to insulin resistance. WAT MF are highly heterogeneous in their origin, patterns of gene expression and activities: unlike infiltrating monocyte-derived MF that promote inflammation and metabolic dysfunction, tissue-resident WAT MF originally described as ‘M2’ are phenotypically anti-inflammatory and counteract obesity and insulin resistance. Despite the critical role of the balance between these MF populations in metabolic homeostasis, the molecular mechanisms and key players that establish the resident MF transcription program are poorly understood. We recently reported that glucocorticoid receptor (GR)-interacting protein (GRIP)1 - a nuclear receptor coactivator - cooperates with GR to repress transcription of inflammatory genes. Here, using mice conditionally lacking GRIP1 in MF (cKO), we show that GRIP1 promotes MF polarization in response to IL4 (M2(IL4)) via a nuclear receptor-independent pathway by serving as a coactivator for Kruppel-like factor (KLF)4 – a critical driver of tissue MF differentiation. Interestingly, in vivo, GRIP1 cKO mice challenged with high-fat diet develop massive MF infiltration and chronic inflammation in WAT and liver, fatty livers, hyperglycemia, hyperinsulinemia and glucose intolerance consistent with metabolic syndrome phenotype. Together, our findings identify GRIP1 as a critical regulator of immunometabolism, which relies on distinct transcriptional mechanisms to coordinate the balance between MF populations in vivo thereby protecting mice from obesity-induced metabolic disease. Overall design: 1. Examination of IL4 induced transcriptome in in vitro differentiated primary bone marrow-derived macrophages. 2. Examination of macrophage transcriptome in macrophages isolated from the white adipose tissue of the WT and GRIP1(cKO) conditional KO animals

Publication Title

The transcriptional coregulator GRIP1 controls macrophage polarization and metabolic homeostasis.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon SRP050449
Single cell expression profiles of the earliest cardiac precursor cells
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The character of the earliest cardiac precursor cells remains largely unknown. To elucidate this further, we constructed single cell cDNAs from the mouse embryonic cardiac precurcsor cells of the early allantoic bud stage and the early headfold stage, and subjected them to deep sequencing. Overall design: The most anterior part of the embryos where cardiac precursor cells exist was digested by trypsin to separate into single cells. After a cell was transferred into a reaction tube, single cell cDNAs were constructed as PCR amplicons. cDNAs of cardiac precursor cells were identified by PCR of marker genes.

Publication Title

Single-Cell Expression Profiling Reveals a Dynamic State of Cardiac Precursor Cells in the Early Mouse Embryo.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP097847
Molecular profiling of rhabdoid tumors in a Smarcb1-deficient mouse model
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Germline mutations of the SMARCB1 gene predispose to two distinct tumor syndromes: rhabdoid tumor predisposition syndrome, with malignant pediatric tumors mostly developing in brain and kidney, and familial schwannomatosis, with adulthood benign tumors involving cranial and peripheral nerves. The mechanisms by which SMARCB1 germline mutations predispose to rhabdoid tumors versus schwannomas are still unknown. Here, to understand the origin of these two types of SMARCB1-associated tumors, we generated different tissue- and developmental stage-specific conditional knockout mice carrying Smarcb1 and/or Nf2 deletion. Smarcb1 loss in early neural crest was necessary to initiate tumorigenesis in the cranial nerves and meninges with typical histological features and molecular profiles of human rhabdoid tumors. By inducing Smarcb1 loss at later developmental stage in the Schwann cell lineage, in addition to biallelic Nf2 gene inactivation, we generated the first mouse model developing schwannomas with the same underlying gene mutations found in schwannomatosis patients. Overall design: RNA-sequencing of 12 Smarcb1-deficient mouse cranial nerves and meninges tumors

Publication Title

Timing of Smarcb1 and Nf2 inactivation determines schwannoma versus rhabdoid tumor development.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE9335
Genome-wide analyses of human perisylvian cerebral cortical patterning
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Despite the well-established role of the frontal and posterior peri-sylvian cortices in many facets of human-cognitive specializations, including language, little is known about the developmental patterning of these regions in human brain. We performed a genome-wide analysis of human cerebral patterning during mid-gestation, a critical epoch in cortical regionalization. A total of 345 genes were identified as differentially expressed (DE) between superior temporal gyrus (STG) and the remaining cerebral cortex (CTX). GO categories representing transcription factors were enriched in STG, while cell-adhesion and extracellular matrix molecules, were enriched in the other cortical regions. Q-PCR or in situ hybridization were performed to validate differential expression in a subset of 32 genes, most of which were confirmed. LIM domain binding 1 (LDB1), which we show to be enriched in the STG, is a recently identified interactor of LIM domain only 4 (LMO4), a gene known to be involved in the asymmetric pattering of the peri-sylvian region in the developing human brain. Protocadherin 17 (PCDH17), a neuronal cell adhesion molecule, was highly enriched in focal regions of the human prefrontal cortex. Contactin Associated Protein-Like 2 (CNTNAP2), in which mutations are known to cause autism, epilepsy and language delay, showed a remarkable pattern of anterior enriched expression in cortical regions important for human higher cognition. Importantly, a similar pattern was not observed in the mouse or rat. These data highlight the importance of expression analysis of human brain and the utility of cross-species comparisons of gene expression. Genes identified here provide a foundation for understanding molecular aspects of human-cognitive specializations and disorders that disrupt them.

Publication Title

Genome-wide analyses of human perisylvian cerebral cortical patterning.

Sample Metadata Fields

Sex, Age

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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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