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Exploring the effects of DPP inhibition on the tumor immune landscape using RNAseq

ABSTRACT: Exploring the effects of DPP inhibition on the tumor immune landscape using RNAseq

PROVIDER: PRJNA725534 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR14336833_1.fastq.gz	Fastqsanger.gz
	SRR14336833_2.fastq.gz	Fastqsanger.gz
	SRR14336834_1.fastq.gz	Fastqsanger.gz
	SRR14336834_2.fastq.gz	Fastqsanger.gz
	SRR14336835_1.fastq.gz	Fastqsanger.gz

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Exploring the effects of DPP inhibition on the tumor immune landscape using RNAseq

Project description:We examined the effects of an oral small molecule DPP inhibitor (BXCL701) on PDAC tumor growth and tumor immune landscape using mT3-2D and Pan02 subcutaneous syngeneic murine models in C57BL/6 mice

2024-04-22 | GSE173441 | GEO

Identification of Dpp target genes during the early embryo development

Project description:The dorsal patterning in Drosophila is controlled by an extracellular gradient of the morphogens Decapentlaplegic/Screw (Dpp/Scrw), which are members of BMP/TGF-β family. Dpp/Scrw signal is transduced to the nucleus by the transcription factors, Mad/Medea. The transcriptional effectors exert their regulation in a graded-manner eliciting at least three threshold responses: high, intermediate and low. However, the mechanism underlying differential response to Dpp is poorly understood, due in part to the insufficient number of well-studied target genes. Gene expression changes were analysed in ectopic overexpressing Dpp mutant embryos to identify new target genes of Dpp/Mad pathway.

2016-02-24 | GSE78226 | GEO

Diabetes Prevention Program (DPP)

Project description:Diabetes Prevention Program (DPP)

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Muscle-derived Dpp regulates feeding initiation via endocrine modulation of brain dopamine biosynthesis

Project description:In animals, the brain regulates feeding behavior in response to local energy demands of peripheral tissues, which secrete orexigenic and anorexigenic hormones. Although skeletal muscle is a key peripheral tissue, it remains unknown whether muscle-secreted hormones regulate feeding. In Drosophila , we find that decapentaplegic (dpp), the homolog of human bone morphogenetic proteins BMP2 and BMP4, is a muscle-secreted factor (a myokine) that is induced by nutrient sensing and that circulates and signals to the brain. Muscle-restricted dpp RNAi promotes foraging and feeding initiation whereas dpp overexpression reduces it. This regulation of feeding by muscle-derived Dpp stems from modulation of brain tyrosine hydroxylase (TH) expression and dopamine biosynthesis. Consistently, Dpp receptor signaling in dopaminergic neurons regulates TH expression and feeding initiation via the downstream transcriptional repressor Schnurri. Moreover, pharmacologic modulation of TH activity rescues the changes in feeding initiation due to modulation of dpp expression in muscle. These findings indicate that muscle-to-brain endocrine signaling mediated by the myokine Dpp regulates feeding behavior.

2019-11-15 | GSE140391 | GEO

CTCF and Smad signaling proteins and response to DPP

Project description:ChIP-seq profiles for CTCF and TGF-beta signaling factors before and after treatment with DPP

2015-05-08 | GSE68654 | GEO

Identification of genes whose expression is affected by ptc + dpp double RNAi in spider embryos

Project description:In the spider Parasteatoda tepidariorum, Hedgehog (Hh) and Decapentaplegic (Dpp) signaling play key roles in the formation of the two major embryonic axes (Akiyama-Oda and Oda, 2010, Development 137, 1263-1273; Akiyama-Oda and Oda, 2006, Development 133, 2347-2357). Patched (Ptc), a receptor for Hh,functions as a negative regulator of Hh signaling. Double parental RNA interference (pRNAi) against spider homologs of ptc and dpp, Pt-ptc and Pt-dpp, respectively, results in severe defects in axis formation. In this microarray experiment, we attempted to identify candidate genes whose expressions are regulated by Hh and Dpp signaling during axis formation.

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CTCF and Smad signaling proteins and response to DPP

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IMPACT: Unraveling intracellular signal transduction and pathway crosstalk by exploring pathway landscape

Project description:Understanding complicated modularization and crosstalk of intracellular signal transduction pathways holds the key to battle against drug resistance in human cancer research. We propose an integrative approach, namely Inferring Modularization of PAthway CrossTalk (IMPACT), to identify aberrant pathway modules and their between-module crosstalk by exploring pathway landscape that is reconstructed from a sampling strategy. The pathway identification method (i.e., IMPACT) was applied to breast cancer data to uncover aberrant pathway modules, which were further investigated with cell line studies to understand drug resistance in breast cancer. The patient datasets we mentioned are published and are available in the GEO database as GSE6532 and GSE17705. The re-processed GSE6532 and GSE17705 patient datasets are linked below as supplementary files. The GSE6532_matrix.txt and GSE17705_matrix.txt are processed by Affy Gene console with plier as normailization. But importantly, we also used 'Combat' method (http://www.bu.edu/jlab/wp-assets/ComBat/Abstract.html) to remove potential institutional batch effect. Four MCF7 derived cell models were included in the study: MCF7-STR, MCF7RR-STR, LCC1 and LCC2 cell lines. MCF7-STR and MCF7RR-STR were grown in phenol red-free IMEM supplemented with 5% charcoal-stripped calf serum and 1nM estradiol for 72 h prior to RNA extraction. LCC1 and LCC2 cells were grown in phenol red-free IMEM supplemented with 5% charcoal-stripped calf serum. The cell line data were used to validate computational results derived from patient datasets.

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Collembola sp. 1 DPP-2017

Project description:Collembola sp. 1 DPP-2017 Raw sequence reads

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Proteasome inhibition reprograms chromatin landscape in breast cancer

Project description:Proteasome inhibition reprograms chromatin landscape in breast cancer

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