Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

An Integrative Informatics Approach to Identify Drug Targets and Therapies for Chronic Allograft Injury after Kidney Transplantation

ABSTRACT: We performed a meta-analysis of biopsy and peripheral blood samples from publicly available microarray datasets in GEO using a two-step meta-analysis method. Our in-house 22 microarray dataset is one of the datasets. We identified 85 immune-related genes that were associated with CAI. We then sought to discover novel therapeutic relationships between drug compounds and CAI through cMAP, a large-scale integration of public gene expression data for drugs and disease. We proposed that drugs that have a potentially therapeutic effect will be able to reverse the differential expression of the 85 CAI-specific gene set during drug exposure in a modeled cell line. We selected two drugs for in vivo and in vitro validations, kaempferol and esculetin, two plant-derived compounds that were ranked at the top of the 1,309 compounds.

ORGANISM(S): Homo sapiens

PROVIDER: GSE74313 | GEO | 2016/12/31

SECONDARY ACCESSION(S): PRJNA299654

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Human Boolean Implication Network

Project description:Numerous gene expression datasets from diverse human tissue samples have been already deposited in the public domain. There have been several attempts to do large scale meta-analyses of all of these datasets. Most of these analyses summarize pairwise gene expression relationships using correlation, or identify differentially expressed genes in two conditions. We propose here a new large scale meta-analysis of all of the publicly available human datasets to identify Boolean logical relationships between genes. Boolean logic is a branch of mathematics that deals with two possible values. In the context of gene expression datasets we use qualitative high and low expression values. A strong logical relationship between genes emerges if at least one of the quadrants is sparsely populated.

2018-08-29 | GSE119087 | GEO

Mouse Boolean Implication Network

Project description:Numerous gene expression datasets from diverse mouse tissue samples have been already deposited in the public domain. There have been several attempts to do large scale meta-analyses of all of these datasets. Most of these analyses summarize pairwise gene expression relationships using correlation, or identify differentially expressed genes in two conditions. We propose here a new large scale meta-analysis of all of the publicly available mouse datasets to identify Boolean logical relationships between genes. Boolean logic is a branch of mathematics that deals with two possible values. In the context of gene expression datasets we use qualitative high and low expression values. A strong logical relationship between genes emerges if at least one of the quadrants is sparsely populated.

2018-08-29 | GSE119085 | GEO

Fly Boolean Implication Network

Project description:Numerous gene expression datasets from diverse fly tissue samples have been already deposited in the public domain. There have been several attempts to do large scale meta-analyses of all of these datasets. Most of these analyses summarize pairwise gene expression relationships using correlation, or identify differentially expressed genes in two conditions. We propose here a new large scale meta-analysis of all of the publicly available fly datasets to identify Boolean logical relationships between genes. Boolean logic is a branch of mathematics that deals with two possible values. In the context of gene expression datasets we use qualitative high and low expression values. A strong logical relationship between genes emerges if at least one of the quadrants is sparsely populated.

2018-08-29 | GSE119084 | GEO

Plant Boolean Implication Network

Project description:Numerous gene expression datasets from diverse plant tissue samples have been already deposited in the public domain. There have been several attempts to do large scale meta-analyses of all of these datasets. Most of these analyses summarize pairwise gene expression relationships using correlation, or identify differentially expressed genes in two conditions. We propose here a new large scale meta-analysis of all of the publicly available plant datasets to identify Boolean logical relationships between genes. Boolean logic is a branch of mathematics that deals with two possible values. In the context of gene expression datasets we use qualitative high and low expression values. A strong logical relationship between genes emerges if at least one of the quadrants is sparsely populated.

2018-08-29 | GSE119083 | GEO

Integrative discovery of treatments for high-risk neuroblastoma

Project description:Neuroblastoma (NB) cells exhibit a complex spectrum of pathway changes associated with oncogene activation, chromosome events, tumor micro-environment and super-enhancer states. So far, elucidating which pharmaceutical compounds could modulate the activation level of each known pathway in NB cells has not been feasible. We treated 2 patient-derived xenograft (PDX) NB cell lines with different chemical compounds, at 3 different doses (IC50, IC20, and IC10) and 2 time-points (6 and 24h). The whole-transcriptome of the treated cells was analyzed by a cost-effective DRUG-Seq method. Using factor analysis and supervised machine learning, the data was used to build a model that predicts the NB-specific outcome of 19,000+ drugs studied in other (non-NB) cell lines in several drug profiling databases (LINCS, CMap, DepMap).

2019-11-02 | GSE120920 | GEO

irs4 versus CAI-12

Project description:Comparison of expression profiling of irs4 null mutant versus isogenic strain (CAI-12) grown in blood (3 replicates) Two-condition experiment, irs4 null mutant versus CAI-12 wild-type. Biological replicates: 3 irs4 null mutant, 3 wild-type. Two replicates per array.

2012-10-06 | E-GEOD-41330 | biostudies-arrayexpress

Esculetin promotes HDL-driven cholesterol excretion involved in CD36-mediated phagocytosis of adipose tissue macrophages and CEBPbeta

Project description:Postprandial dyslipidemia is a recognized risk factor for atherosclerosis. High-density lipoprotein (HDL)-mediated reverse cholesterol transport plays a crucial role in mitigating this risk by clearing postprandial lipids. This study aimed to investigate the impact of esculetin, a 4-Hydroxycoumarin, on postprandial cholesterol metabolism and excretion after a high-fat meal. Esculetin significantly elevated postprandial HDL cholesterol levels in serum and postprandial bile acid levels in bile, and altered serum metabolomics in mice fed a high-fat meal, indicating esculetin promotes HDL-driven cholesterol excretion after a high-fat meal. Furthermore, esculetin administration in mice led to an increase in the ratio and phagocytic activity of a subset of adipose tissue macrophages (ATMs) expressing high levels of CD36 and Tim4. Inhibition of CD36 by Sulfo-N-succinimidyl oleate (SSO) blocked esculetin-induced elevation of postprandial serum HDL and bile acid levels in bile. Additionally, esculetin demonstrated the ability to increase the uptake of oxidized LDL (ox-LDL) via CD36 in a macrophage cell line, which might involve alteration of the epigenetic landscape controlled by CCAAT enhancer-binding protein beta (C/EBPβ). Esculetin-induced increased uptake of ox-LDL and elevation of CD36 was inhibited in C/EBPβ-deficient cells. A relatively higher expression of C/EBPβ was observed in CD36+ ATMs, and esculetin increased the ratio of C/EBPβ+ CD36+ ATMs in mice fed a lipid-rich meal. Moreover, the direct interaction between esculetin and C/EBPβ were observed by Terahertz chemical microscope. Overall, these findings suggest esculetin promotes HDL-mediated postprandial cholesterol excretion by directly binding to C/EBPβ and enhancing CD36-dependent phagocytosis in ATMs.

2024-06-12 | GSE234771 | GEO

Proteomics to identify putative genes underlying fruit ripening and related to long shelf life

Project description:Our aim was to gather additional evidence of tomato fruit ripening by assessing two long shelf life near isogenic lines (NILs). These two NILs, named NIL115 and NIL080, carried wild introgression provided by S. pimpinellifolium accession LA0722 in the genetic background of Caimanta (CAI) from S. lycopersicum. Pericarp tissue was collected from the four genotypes (NIL115, NIL080, CAI and LA0722) at two ripening stages: mature green (MG) and red ripe (RR). A label-free quantitation (LFQ) proteomic analysis was carried out to identify differentially abundant proteins between MG and RR.

2023-08-02 | PXD036132 | Pride

Pemetrexed and gemcitabine as combination therapy for the treatment of Group3 medulloblastoma

Project description:We devised a high-throughput, cell-based assay to identify novel therapeutic compounds to treat Group3 medulloblastoma (G3 MB). Mouse G3 MBs, grown as neurospheres, were screened against a library of approximately 7,000 compounds including FDA-approved drugs. We identified two FDA-approved drugs, pemetrexed and gemcitabine that preferentially inhibited tumor proliferation in vitro compared to control neurospheres, and substantially inhibited tumor proliferation in vivo. When combined, the two drugs significantly increased survival

2014-04-15 | GSE46406 | GEO

Esculetin modulates postprandial cholesterol metabolism involved in phagocytosis of adipose tissue macrophages

Project description:Postprandial dyslipidemia is a recognized risk factor for atherosclerosis. High-density lipoprotein (HDL)-mediated reverse cholesterol transport plays a crucial role in mitigating this risk by clearing postprandial lipids. This study aimed to investigate the impact of esculetin, a 4-Hydroxycoumarin, on postprandial cholesterol metabolism and excretion after a high-fat meal. Esculetin significantly elevated postprandial HDL cholesterol levels in serum and postprandial bile acid levels in bile, and altered serum metabolomics in mice fed a high-fat meal, indicating esculetin promotes HDL-driven cholesterol excretion after a high-fat meal. Furthermore, esculetin administration in mice led to an increase in the ratio and phagocytic activity of a subset of adipose tissue macrophages (ATMs) expressing high levels of CD36 and Tim4. Inhibition of CD36 by Sulfo-N-succinimidyl oleate (SSO) blocked esculetin-induced elevation of postprandial serum HDL and bile acid levels in bile. Additionally, esculetin demonstrated the ability to increase the uptake of oxidized LDL (ox-LDL) via CD36 in a macrophage cell line, which might involve alteration of the epigenetic landscape controlled by CCAAT enhancer-binding protein beta (C/EBPβ). Esculetin-induced increased uptake of ox-LDL and elevation of CD36 was inhibited in C/EBPβ-deficient cells. A relatively higher expression of C/EBPβ was observed in CD36+ ATMs, and esculetin increased the ratio of C/EBPβ+ CD36+ ATMs in mice fed a lipid-rich meal. Overall, these findings suggest esculetin promotes HDL-mediated postprandial cholesterol excretion by directly binding to C/EBPβ and enhancing CD36-dependent phagocytosis in ATMs.

2025-04-21 | GSE248616 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data