Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Discerning the roles of key cytokine signaling pathways in DS HN878 Mtb infection [dataset2]

ABSTRACT: Discerning the roles of key cytokine signaling pathways in DS HN878 Mtb infection [dataset2]

PROVIDER: PRJNA1048967 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR27104525_1.fastq.gz	Fastqsanger.gz
	SRR27104525_2.fastq.gz	Fastqsanger.gz
	SRR27104526_1.fastq.gz	Fastqsanger.gz
	SRR27104526_2.fastq.gz	Fastqsanger.gz
	SRR27104527_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 36

Similar Datasets

Discerning the roles of key cytokine signaling pathways in DS HN878 Mtb infection [dataset2]

Project description:We have found that drug-resistant (DR) Mtb infection alters the host pathogen interactions thought to occur during drug-sensitive (DS) Mtb infection. Recent data suggests that lack of IL-1, but not Type I IFN, signaling pathways leads to susceptibility to infection to DR Mtb infection. To understand the pathways involved in maintaining control of DS Mtb infection, we are sequencing the bulk lung cells early in infection.

2024-04-03 | GSE249401 | GEO

Discerning the roles of key cytokine signaling pathways in DR Mtb infection [dataset1]

Project description:We have found that drug-resistant (DR) Mtb infection alters the host pathogen interactions thought to occur during drug-sensitive (DS) Mtb infection. Recent data suggests that lack of both, Type I and IL-1, signaling pathways leads to susceptibility to infection to DR Mtb infection. To understand the pathways involved in maintaining control of DR Mtb infection, we are sequencing the bulk lung cells early in infection.

2024-04-03 | GSE249400 | GEO

Discerning the roles of key cytokine signaling pathways in DR Mtb infection [dataset1]

Project description:Discerning the roles of key cytokine signaling pathways in DR Mtb infection [dataset1]

| PRJNA1048968 | ENA

Gene expression profiling of Down Syndrome (DS)-AMKL and non-DS AMKL samples

Project description:The goal of this study is to define a gene expression signature unique to DS-AMKL (acute megakaryoblastic leukemia or FAB M7 leukemia). A similar study was done previously, but using unfractionated patient leukemic samples. In this study, we sorted megakaryocytic leukemia blasts from patients and then compared their gene expression signatures to those from similarly sorted blasts from patients with non-DS AMKL. This allowed us to identify a gene expression signature more unique to DS-AMKL samples.

2010-08-01 | GSE16677 | GEO

Aeromonas sp. MTB isolate:MTB

Project description:Aeromonas sp. MTB isolate:MTB Genome sequencing and assembly

| PRJNA1083721 | ENA

Bacillus safensis strain:DS-1 | isolate:DS-1

Project description:Bacillus safensis strain:DS-1 | isolate:DS-1 Genome sequencing

| PRJNA1142686 | ENA

Janthinobacterium sp. DS strain:DS

Project description:Janthinobacterium sp. DS Genome sequencing and assembly

| PRJNA721696 | ENA

Timecourse of doxycycline induction in bitransgenic MTB/TAN, MTB/TOM, and MTB/TWNT1 mice or monotransgenic MTB control mice

Project description:Genome-wide expression data can provide important insights into normal and pathological cellular processes. However, the ability to use gene expression data to quantitatively assess the activation state of a given signaling pathway or transcriptional network in a sensitive and specific manner remains an important unmet goal. We now describe a computational algorithm, energy-paired scoring (EPS), that satisfies these criteria by predicting pathway activity using gene-gene interactions within a pathway signature in a manner analogous to the estimation of energy generated by two charged particles, as described by Coulomb’s law. We demonstrate the ability of EPS to: quantitatively assess pathway activation levels in vivo and in vitro; accurately estimate the extent of pathway inhibition achieved by gene knockdown; sensitively detect crosstalk between endogenous signaling pathways in vivo; and accurately identify compounds capable of inhibiting selected signaling pathways. Our findings indicate that EPS can accurately predict pathway activity over a wide dynamic range based upon gene expression data sets derived from multiple profiling platforms, as well as different species, tissues and cell types in both in vitro and in vivo contexts Four timepoints (0h, 24h, 48h and 96h) with 3 replicates per timepoint of doxycycline induction for MTB (Control), MTB/TAN, MTB/TOM and MTB/TWNT1

2013-09-18 | E-GEOD-50969 | biostudies-arrayexpress

RNA sequencing of mammary glands from 55-day old control, MTB-200ba429, MTB-IGFIR, MTB-IGFIRba429 mice.

Project description:RNA was isolated from mammary glands from 55 day old control mice, mice overexpressing the miR-200b/200a/429 cluster in mammary epithelial cells (MTB-200ba429) mice overexpressing the IGF-IR transgene in mammary epithelial cells (MTB-IGFIR), and mice overexpressing both the miR-200b/200a/429 cluster and the IGF-IR transgene in mammary epithelial cells (MTB-IGFIRba429)

2021-09-17 | GSE180264 | GEO

CHINA MTB HISTORY

Project description:CHINA MTB HISTORY

| PRJEB23157 | ENA