Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

27 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of mouse prostate cancer fiber model

ABSTRACT: hormonal progression in prostate cancer fiber model Experiment Overall Design: The LNCaP Hollow Fiber model of prostate cancer was appied. A total of 24 fibers were implanted in each animal, in bundles of eight fibers at three different regions in the animal. Castration of mice was performed At each time point, eight fibers from the same mouse were harvested and total RNA was isolated from LNCaP cells grown inside the fibers using Trizol

ORGANISM(S): Homo sapiens

SUBMITTER: Gang Wang

PROVIDER: E-GEOD-9666 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Comparison of cotton fiber to ovule at 9 DPA

Project description:RNAs from the upland cotton 9-DPA fibers were compared to the 9-DPA fiber-detached ovule. RNAs from the upland cotton 9-DPA fibers were compared to the 9-DPA fiber-detached ovule.

2010-07-01 | E-GEOD-4642 | biostudies-arrayexpress

Single muscle fiber proteomics reveals fiber type-specific features of human muscle aging

Project description:Skeletal muscle is a key tissue in human aging, which affects different muscle fiber types unequally. We developed a highly sensitive single muscle fiber proteomics workflow to study human aging and show that the senescence of slow and fast muscle fibers is characterized by diverging metabolic and protein quality control adaptations. Whereas mitochondrial content declines with aging in both fiber types, glycolysis and glycogen metabolism are upregulated in slow but downregulated in fast muscle fibers. Aging mitochondria decrease expression of the redox enzyme monoamine oxidase A. Slow fibers upregulate a subset of actin and myosin chaperones, whereas an opposite change happens in fast fibers. These changes in metabolism and sarcomere quality control may be related to the ability of slow, but not fast, muscle fibers to maintain their mass during aging. We conclude that single muscle fiber analysis by proteomics can elucidate pathophysiology in a sub-type specific manner.

2017-06-14 | PXD006182 | Pride

Prostate cancer fiber model

Project description:hormonal progression in prostate cancer fiber model Keywords: prostate cancer, hormonal progression, fiber model

2008-07-01 | GSE9666 | GEO

GHBES1-OE-FIBER ChIP-Seq

Project description:ChIP-seq data of 5 dpa fibers from GhBES1-Overexpression cotton plants GHBES1-OE-FIBER-CHIP-SEQ

2023-03-01 | GSE226370 | GEO

Single-molecule regulatory architectures captured by chromatin fiber sequencing [Hs Fiber-seq]

Project description:We report a method for precisely stenciling the structure of individual chromatin fibers onto their composite DNA templates using non-specific DNA N6-adenine methyltransferases. Single-molecule long-read sequencing using PacBio of these chromatin stencils enables nucleotide-resolution readout of the primary architecture of multi-kilobase chromatin fibers (Fiber-seq).

2020-06-25 | GSE146941 | GEO

Single-molecule regulatory architectures captured by chromatin fiber sequencing [Dm Fiber-seq]

2020-06-25 | GSE146940 | GEO

Expression data from uncastrasion and castration tumor from LNCAP Orhotopic xenograft models of prostate cancer

2013-04-20 | GSE46218 | GEO

Expression data from uncastrasion and castration tumor from LNCAP Orhotopic xenograft models of prostate cancer

Project description:To identify molecular singnal alterations between androgen dependent prostate cancer and castration resistant prostate cancer, we performed interspecies comparative microarray analyses using RNAs prepared from uncastrasion and castration tumor from LNCAP Orhotopic xenograft models of prostate cancer. microarray data from uncastrasion and castration tumor revealed that the gene expression profile is most significantly altered in between androgen dependent prostate cancer and castration resistant prostate cancer. Comparative analyses of LNCAP Orhotopic xenograft models of prostate cancer showed that genes involved in androgen dependent and androgen independent tumor were significantly altered. We prepared RNA samples from 4 samples uncastrasion and 4 samples castration tumors from LNCAP Orhotopic xenograft models of prostate cancer . High-quality RNA samples were subjected to microarray analysis using the Affymetrix Human Gene 2.0 ST platform, and only those results that passed examinations for quality assurance and quality control of the Human Gene 2.0 ST arrays were retrieved. In total, we obtained gene expression profiles from the following samples: 4 samples uncastrasion and 4 samples castration tumors

2013-04-20 | E-GEOD-46218 | biostudies-arrayexpress

fiber transformation in electric-stimulated culture

Project description:The gene expression profile of day 3 of in vitro cultured FDB fibers subjected to slow-fiber-type pattern of electrial stimulation was compared to that of day 3 control FDB fibers without stimulation, with amplified RNA (cRNA probes). Keywords: cell treatment

2007-01-18 | GSE6657 | GEO

lncRNA-PCAT1 knockdown effect on the gene expression of androgen independent LNCaP (LNCaP-AI) cell line

Project description:We generated and characterized an androgen-independent LNCaP-AI cell line by long-term culture of androgen-dependent LNCaP cells in RPMI-1640 medium containing charcoal-stripped serum. This approach used to generate the line mimics the castration resistant condition for treating prostate cancer, supporting the relevance of the LNCAP-AI cell line to Castration Resistant Prostate Cancer.

2019-01-01 | GSE124519 | 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