Although a large set of data is available concerning organogenesis in animal models, information remains scarce on human organogenesis. In this work, we performed temporal mapping of human fetal pancreatic organogenesis using cell surface markers. We demonstrate that in the human fetal pancreas at 7 weeks of development, the glycoprotein 2 (GP2) marks a multipotent cell population that will differentiate either into the acinar, ductal and endocrine lineages. Development towards the acinar lineage is paralleled by a substantial increase in GP2 expression. Conversely, a subset of the multipotent GP2+ population undergoes endocrine differentiation by down-regulating GP2 and CD142 and turning on NEUROG3, an early marker of endocrine differentiation. Endocrine maturation will progress by up-regulating SUSD2 and lowering ECAD levels. Finally, we show that in vitro differentiation of pancreatic endocrine cells derived from human pluripotent stem cells mimics key in vivo events. Our work constitutes a powerful approach to more precisely define intermediate cell population during conversion of multipotent progenitors into the 3 main human pancreatic cell types (acinar, ductal and endocrine) in vivo. As such, the data pave the way to extend our understanding of the origin of mature human pancreatic cell types and how such lineage decisions are regulated.
Reconstructing human pancreatic differentiation by mapping specific cell populations during development.
Specimen part
View SamplesPostnatal day 4 neonatal rat cardiomyocytes transduced with LacZ or flag-tagged, activated YAP1 (S127A) expressing adenovirus
YAP1, the nuclear target of Hippo signaling, stimulates heart growth through cardiomyocyte proliferation but not hypertrophy.
Treatment
View SamplesType 1 diabetes is characterized by the destruction of pancreatic beta cells, and generating new insulin-producing cells from other cell types is a major aim of regenerative medicine. One promising approach is transdifferentiation of developmentally related pancreatic cell types including glucagon-producing alpha cells. In a genetic model, overexpression of the master regulatory transcription factor Pax4 or loss of its counterplayer Arx are sufficient to induce the conversion of alpha cells to functional beta-like cells. Here we identify artemisinins as small molecules that functionally repress Arx and induce beta-cell characteristics in alpha cells. We show that the protein gephyrin is the mammalian target of these antimalaria drugs. Finally, we demonstrate that gephyrin-mediated enhancement of GABAA receptor signaling is the mechanism of action of these molecules in pancreatic transdifferentiation. Our results indicate that gephyrin is a novel druggable target for the regeneration of pancreatic beta cell mass from alpha cells. Overall design: Transcriptional dissection of Artemether treated, human pancreatic islets of one donor using single-cell RNA-seq
Artemisinins Target GABA<sub>A</sub> Receptor Signaling and Impair α Cell Identity.
Subject
View SamplesType 1 diabetes is characterized by the destruction of pancrea tic beta cells, and generating new insulin-producing cells from other cell types is a major aim of regenerative medicine. One promising approach is transdifferentiation of developmentally related pancreatic cell types including glucagon-producing alpha cells. In a genetic model, loss of the master regulatory transcription factor Arx is sufficient to induce the conversion of alpha cells to functional beta-like cells. Here we identify artemisinins as small molecules that functionally repress Arx by causing its translocation to the cytoplasm. We show that the protein gephyrin is the mammalian target of these antimalaria drugs, and that enhancement of GABAA receptor signaling contributes to the mechanism of action of these molecules in pancreatic transdifferentiation. Our results in zebrafish, rodents and primary human pancreatic islets indicate that gephyrin is a novel druggable target for the regeneration of pancreatic beta cell mass from alpha cells. Overall design: There are two parts in the transcriptional study on mouse cell lines in this project. One part is on Min6-ARX inducible cells with different induction time of Dox. This is done in three different clones. The other part is on alpha-TC1 cells. This is done in one concentration of Artemether, one time point and two biological repeats.
Artemisinins Target GABA<sub>A</sub> Receptor Signaling and Impair α Cell Identity.
Specimen part, Cell line, Subject
View SamplesInhalation of toxic chemicals, including recent e-cigarettes, often cause life-threatening lung injury. Although exposure to polyhexamethylene guanidine (PHMG)-containing humidifier disinfectant (HD) has been identified as a cause of fatal lung injury, the mechanism underlying HD-associated lung injury (HDLI) is unknown. The present study evaluated global changes in gene expression in lung tissues from patients with PHMG-induced HDLI, and compared gene expression changes in PHMG-induced rat lung tissues. Significantly different expressions in lung tissues between patients with HDLI and unaffected controls were observed. Furthermore, several fibrosis-associated overlapping genes (such as MMP2 and COL1A2) shared between humans with HDLI and rats exposed to PHMG were identified. Interactome network analysis predicted different pathways between children and adults with HDLI: the TGFβ/SMAD signaling pathway was central in adults, whereas other pathways, including integrin signaling, were associated with HDLI in children. Further interactome network analysis revealed that Rap1 and CCKR signaling pathways were significantly enriched in HDLI compared with idiopathic pulmonary fibrosis as well as their recapitulation in the lung tissues of rats exposed to PHMG. Our results suggest that MMP2-mediated different mechanisms between children and adults may be associated with PHMG-induced HDLI development, and Rap1 and CCKR pathways appear to be crucial.
Integrative multi-omics approach for mechanism of humidifier disinfectant-associated lung injury.
Age, Specimen part
View SamplesDespite continual efforts to establish pre-operative prognostic model of gastric cancer by using clinical and pathological parameters, a staging system that reliably separates patients with early and advanced gastric cancer into homogeneous groups with respect to prognosis does not exist. With use of microarray and quantitative RT-PCR technologies, we exploited series of experiments in combination with complementary data analyses on tumor specimens from 161 gastric cancer patients. Various statistical analyses were applied to gene expression data to uncover subgroups of gastric cancer, to identify potential biomarkers associated with prognosis, and to construct molecular predictor of risk from identified prognostic biomarkers.Two subgroups of gastric cancer with strong association with prognosis were uncovered. The robustness of prognostic gene expression signature was validated in independent patient cohort with use of support vector machines prediction model. For easy translation of our finding to clinics, we develop scoring system based on expression of six genes that can predict the likelihood of recurrence after curative resection of tumors. In multivariate analysis, our novel risk score was an independent predictor of recurrence (P=0.004) in cohort of 96 patients, and its robustness was validated in two other independent cohorts. We identified novel prognostic subgroups of gastric cancer that are distinctive in gene expression patterns. Six-gene signature and risk score derived from them has been validated for predicting the likelihood of survival at diagnosis.
Gene expression signature-based prognostic risk score in gastric cancer.
No sample metadata fields
View SamplesUnder steady-state conditions, eosinophils are abundantly found in the small intestinal lamina propria, but their physiological function is largely unexplored. We performed a global gene expression analysis to examine which genes are highly expressed by small intestinal eosinophils (CD11b+CD11c(int)MHCII-SiglecF+) compared with dendritic cells (CD11c+MHCII+).
Small intestinal eosinophils regulate Th17 cells by producing IL-1 receptor antagonist.
Age, Specimen part
View SamplesIn order to understand the transcriptional effects of CD44s expression in a cell line that does not express CD44 in its native form we transfected CD44s into HEK cells and measured the transcriptional chances compared to native HEK cells
CD44 Isoform Status Predicts Response to Treatment with Anti-CD44 Antibody in Cancer Patients.
No sample metadata fields
View SamplesBackground: Causative genes for autosomal dominantly inherited familial adenomatous polyposis (FAP) and hereditary non-polyposis colorectal cancer (HNPCC) have been well characterized. There is, however, another 10-15 % early onset colorectal cancer (CRC) whose genetic components are currently unknown. In this study, we used DNA chip technology to systematically search for genes differentially expressed in early onset CRC.
A susceptibility gene set for early onset colorectal cancer that integrates diverse signaling pathways: implication for tumorigenesis.
Sex, Age, Specimen part
View SamplesReconstructed mutants of yeast by inverse metabolic engineering were characterized by fermentation physiology and tools from systems biology.
Recovery of phenotypes obtained by adaptive evolution through inverse metabolic engineering.
Time
View Samples