Previous reports suggest that outcome of cHL patients may be related to the tumor microenvironment, which in turn may be influenced by EBV infection. Gene profiling was used for further characterize the cHL microenvironment. A training set of 73 cHL tissue samples was profiled using Affymetrix DNA microarrays. Supervised analysis provided a gene signature separating EBV+ from EBV- cHL tissues, including genes characteristic of Th1 and antiviral response. Samples from patients with favourable outcome significantly overexpressed genes involved in the function of B-cells and plasmacytoid dendritic cells (pDCs), like BCL11A. A validation set of 146 cHL samples was analyzed using immunohistochemistry (IHC).
Molecular profiling of classical Hodgkin lymphoma tissues uncovers variations in the tumor microenvironment and correlations with EBV infection and outcome.
No sample metadata fields
View SamplesDiffuse large B-cell lymphoma (DLBCL) is currently divided into three main molecular subtypes, defined by gene expression profiling (GEP): Germinal Center B-cell like (GCB), Activated B-Cell like (ABC), and Primary Mediastinal B-cell Lymphoma (PMBL).
Biological and Clinical Relevance of Associated Genomic Alterations in MYD88 L265P and non-L265P-Mutated Diffuse Large B-Cell Lymphoma: Analysis of 361 Cases.
Sex, Age, Disease
View SamplesDiet-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
The transcriptional coregulator GRIP1 controls macrophage polarization and metabolic homeostasis.
Sex, Age, Specimen part, Subject
View SamplesGermline 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
Timing of Smarcb1 and Nf2 inactivation determines schwannoma versus rhabdoid tumor development.
Specimen part, Subject
View SamplesDespite 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.
Genome-wide analyses of human perisylvian cerebral cortical patterning.
Sex, Age
View SamplesHuman 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.
Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
No sample metadata fields
View SamplesHuman 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.
Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
No sample metadata fields
View SamplesRegional identity of several kind of human neural stem cells were assessed by RNA-Seq Overall design: We compared whole transcriptome of human fetal spinal cord, fetal brain, fetal spinal cord derived NSCs, H9-derived NSCs, H9-derived spinal cord NSCs, and UCSF4-derived spinal cord NSCs
Generation and post-injury integration of human spinal cord neural stem cells.
Specimen part, Subject
View SamplesTo determine the modulation of gene expression of C57BL/6 and DBA/2 BMDLs in the presence of living intracellular Leishmania amazonensis amastigotes
Distinct transcriptional signatures of bone marrow-derived C57BL/6 and DBA/2 dendritic leucocytes hosting live Leishmania amazonensis amastigotes.
Specimen part
View SamplesUlcerative colitis (UC) and Crohns disease (CD) are inflammatory bowel diseases (IBD) with variable, overlapping clinical features and complex pathophysiologies. To identify pathogenic processes underlying these disease subtypes, using single endoscopic pinch biopsies to estabolish 36 expression profiles, we elucidated gene expression patterns of active and inactive areas of UC and CD, and compared these to infectious colitis and healthy controls.
Genome-wide gene expression differences in Crohn's disease and ulcerative colitis from endoscopic pinch biopsies: insights into distinctive pathogenesis.
No sample metadata fields
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