Normal human colorectal mucosa was sampled at points along the colon.
Map of differential transcript expression in the normal human large intestine.
Specimen part
View SamplesOverexpression of human progastrin (hGAS) in mice has been observed to increase colonic mucosa proliferation significantly,
Progastrin stimulates colonic cell proliferation via CCK2R- and β-arrestin-dependent suppression of BMP2.
Sex, Age, Specimen part
View SamplesThe gene expression of murine splenic myeloid derived suppressor cells treated with Tff2 is characterized. The motivation of the study originates in the fact that Gr1+Cd11b+ myeloid-derived suppressor cells (MDSCs), which resemble immature myeloid cells (IMCs), expand during cancer in response to inflammatory cytokines and accumulate in the spleen. MDSCs promote neoplastic progression through their suppression of anti-tumourigenic cytotoxic T-cells. MDSCs are also rapidly expanded following acute insults, but in cancer as opposed to acute inflammation, MDSCs persist. It is now recognized that a vagally-mediated, anti-inflammatory reflex arc promoting acetylcholine secretion by Cd4+ (Cd44hiSelllo) T cells, is necessary for a return to homeostasis after an acute insult. Failure of this restorative neural circuit might contribute to unabated procarcinogenic inflammation, with the chronic expansion of MDSCs driving carcinogenesis. Trefoil factor 2 (Tff2) is a secreted anti-inflammatory peptide produced by both epithelial cells and a small subset of splenic T cell.
Neural innervation stimulates splenic TFF2 to arrest myeloid cell expansion and cancer.
Sex, Age, Specimen part
View SamplesIntrauterine growth restriction is a common complication of pregnancy. We induce IUGR in rats by bilateral uterine artery ligation at e18 of a 23 day gestation.
Neutralizing Th2 inflammation in neonatal islets prevents β-cell failure in adult IUGR rats.
Specimen part, Treatment
View SamplesDclk1 (Doublecortin like kinase-1) labels a rare population of long-lived and largely quiescent cells in the adult mouse pancreas. The expression of Dclk1+ vs Dclk1- pancreatic cells (mostly acinar) is observed. Overall design: Dclk1+ vs Dclk1-
Dclk1 Defines Quiescent Pancreatic Progenitors that Promote Injury-Induced Regeneration and Tumorigenesis.
Specimen part, Cell line, Subject
View SamplesDifferential expression of Hdc-GFPhi HSPC VS Hdc-GFPlo HSPC hematopoetic stem and progenitor cells from mouse bone marrow Overall design: Bone marrow Hdc-GFPhi and Hdc-GFPlo HSPC (LSK, Lin-c-kit+Sca-1+) hematopoetic stem and progenitor cells were isolated from femur, tibia, illium, and vertebra bones of histidine decarboxylase (Hdc) green fluorescent protein (Hdc-GFP) mice Hdc-GFPhi HSPC and Hdc-GFPlo HSPC cells were sorted by combinations of GFP and the cell surface markers of LSK, total RNA was isolated from sorted 2,000 HSPCs using ARCTURUS PicoPure RNA isolation kit (Life Technologies). cDNA was amplified and libraries were constructed by using the SMARTer Ultra Low Input RNA kit (Clontech Laboratories) and the Nextera XT DNA Library Preparation kit (Illumina) according to the respective manufacturer's instructions. Sequencing was performed on the Illumina HiSeq 2500 platform. a. Hdc-GFPhi bone marrow HSPC cells (n=4) b. Hdc-GFPlo bone marrow HSPC cells (n=4)
Bone Marrow Myeloid Cells Regulate Myeloid-Biased Hematopoietic Stem Cells via a Histamine-Dependent Feedback Loop.
Specimen part, Cell line, Subject
View SamplesThe role of myeloid cells in supporting cancer growth is well established. Most work has focused on myeloid-derived suppressor cells (MDSC) that accumulate in tumor-bearing animals, but tumor-associated neutrophils (TAN) are also known to be capable of augmenting tumor growth. However, little is known about their evolution, phenotype, and relationship to naive neutrophils (NN) and to the granulocytic fraction of MDSC (G-MDSC). In the current study, a transcriptomics approach was used in mice to compare these cell types. Our data show that the three populations of neutrophils are significantly different in their mRNA profiles with NN and G-MDSC being more closely related to each other than to TAN. Structural genes and genes related to cell-cytotoxicity (i.e. respiratory burst) were significantly down-regulated in TAN. In contrast, many immune-related genes and pathways, including genes related to the antigen presenting complex (e.g. all six MHC-II complex genes), and cytokines (e.g. TNF-a, IL-1-a/b), were up-regulated in G-MDSC, and further up-regulated in TAN. Thirteen of the 25 chemokines tested were markedly up-regulated in TAN compared to NN, including striking up-regulation of chemoattractants for T/B-cells, neutrophils and macrophages. This study characterizes different populations of neutrophils related to cancer, pointing out the major differences between TAN and the other neutrophil populations.
Transcriptomic analysis comparing tumor-associated neutrophils with granulocytic myeloid-derived suppressor cells and normal neutrophils.
No sample metadata fields
View SamplesThere are significant differences in the expression of genes that regulate metabolic pathways in HCC as compared to Cirrhosis or non-tumor liver tissues. These charcteristic pathways can be exploited for metabolic imaging biomarkers of HCC.
The aspartate metabolism pathway is differentiable in human hepatocellular carcinoma: transcriptomics and (13) C-isotope based metabolomics.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesThe gene expression of bone marrow cells of mice enriched for
Gremlin 1 identifies a skeletal stem cell with bone, cartilage, and reticular stromal potential.
Sex, Specimen part
View SamplesWe investigated the specificity profiles of a variety of RNA guided adenosine deaminases while exploring roles of NLS/NES and hyperactive mutants via analysis of the transcriptome-wide off-target A->G editing effected by these tools. To this end, HEK 293T cells were transfected with each construct and analyzed by RNA-seq. Untransfected cells were included as controls. From each sample, we collected ~40 million uniquely aligned sequencing reads. We then used Fisher's exact test to quantify significant changes in A->G editing yields, relative to untransfected cells, at each reference adenosine site having sufficient read coverage. The number of sites with at least one A->G editing event detected in any of the samples was computed. Overall design: Study of transcriptome wide A->G off-targets arising due to the overexpression of a variety of RNA guided adenosine deaminases.
In vivo RNA editing of point mutations via RNA-guided adenosine deaminases.
No sample metadata fields
View Samples