Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from subcutaneous PDAC xenograft tumor tissue of lactation mice and ctrl mice.

ABSTRACT: Progestin secretion increases remarkably during pregnancy and lactation. To explore how prolactin affect tumor growth, we used microarray to detailed the different expressed genes between lactation mice and ctrl mice.

ORGANISM(S): Mus musculus

PROVIDER: GSE217408 | GEO | 2022/11/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression data from subcutaneous PDAC xenograft tumor tissue of lactation mice and ctrl mice.

Project description:Expression data from subcutaneous PDAC xenograft tumor tissue of lactation mice and ctrl mice.

| PRJNA898902 | ENA

A long-lasting prolactin to combat lactation insufficiency

Project description:Human infants are born to breastfeed. While 50% of lactating persons report struggling to make enough milk, there are no governmentally-approved drugs to enhance lactation1. Here, we engineer a variant of the naturally-occurring driver of lactation, the hormone Prolactin, to increase its serum half-life and produce a viable drug candidate. Our engineered variant,Prolactin-eXtra Long-acting(Prolactin-XL), is comprised of endogenously active human prolactin fused to an engineered human IgG1 Fc domain designed to overcome the unique drug development challenges specific to the lactating person-infant dyad. Our Prolactin-XL has a serum half-life of 70.9h in mice, 2,625-fold longer than endogenously active prolactin alone (70.9h v. 0.027h). We demonstrate that Prolactin-XL increases milk production and restores growth of pups fed by dams with pharmacologically-ablated lactation. We show that Prolactin-XL-enhanced lactation is accompanied by reversible, alveolar cell-driven changes in mammary gland morphology. Prolactin-XL treatment was associated with no identifiable pathology or adverse side effect in the lactating mice or nursing pups. This work establishes long-acting prolactins as a potentially powerful pharmacologic means to combat insufficient lactation. Implications for future research in lactating mammary gland biology and a potential preclinical path for developing Prolactin-XL for use in lactating persons are discussed.

2024-07-16 | GSE270276 | GEO

A long-lasting prolactin to combat lactation insufficiency

Project description:A long-lasting prolactin to combat lactation insufficiency

| PRJNA1126103 | ENA

The anti-proliferative effects of progestins in T47D breast cancer cells are tempered by progestin-induction of the ETS transcription factor Elf5.

Project description:Prolactin and progesterone act together to regulate mammary alveolar development, and both hormones have been implicated in breast cancer initiation and progression. Here we show that Elf5, a prolactin-induced ETS transcription factor that specifies the mammary secretory cell lineage, is also induced by progestins in breast cancer cells via a direct mechanism. To define the transcriptional response to progestin elicited via Elf5 we made an inducible Elf5 sh-RNA knock down model in T47D breast cancer cells and used it to prevent the progestin-induction of Elf5. Functional analysis of Affymetrix gene expression data using Gene Ontologies and Gene Set Enrichment Analysis showed enhancement of the progestin effects on cell cycle gene expression. Cell proliferation assays showed a more efficacious progestin-induced growth arrest when Elf5 was kept at baseline levels. These results showed that progestin-induction of Elf5 expression tempered the anti-proliferative effects of progestins in T47D cells, providing a further mechanistic link between prolactin and progestin in the regulation of mammary cell phenotype.

2010-06-17 | GSE22363 | GEO

The anti-proliferative effects of progestins in T47D breast cancer cells are tempered by progestin-induction of the ETS transcription factor Elf5.

2010-07-08 | E-GEOD-22363 | biostudies-arrayexpress

Transcriptomics comparisons of Mac-T cells versus mammary tissue during late pregnancy and peak lactation

Project description:The bovine mammary epithelial cell line Mac-T has been used to study mammary gland in vitro. The reliability of this system to study mammary gland has not been tested using genomics approaches. In the present experimetn a direct transcriptomics comparison between Mac-T cells and mammary tissue at -30 and at 60 day in milk (DIM) is performed. Data indicated that Mac-T cells and mammary tissue had a substantially different transcriptome with a larger difference between Mac-T cells and lactating mammary tissue (i.e., 60 DIM) compared to non-lactating mammary tissue (i.e., -30 DIM). In addition, data indicated that the Mac-T cells substantially differ with mammary tissue in lactation-specific functions. cDNA from Mac-T cells induced in vitro into lactation for 36h (addition of prolactin) was directly hybridize in the microarray chip with cDNA from mammary tissue at -30 or 60 day in milk from 3 cows.

2013-04-30 | E-GEOD-46476 | biostudies-arrayexpress

Expression data from osteocytes in virgin,lactating and post lactation mice

2011-12-31 | GSE23496 | GEO

Strain-specific differences in lactation performance of mice

Project description:The QSi5 inbred strain of mice was established from an outbred Quackenbush-Swiss strain by full-sib inbreeding and selection on the basis of increased litter size and shortened inter-litter interval in the Department of Veterinary Physiology (later REPROGEN) , University of Sydney (Holt et al., 2004). The strain has an average litter size of more than 13 pups, and females commonly nurse up to 18 pups with greater than 90% survival to weaning. Along with an increased body weight (BW), these traits are clearly indicative of enhanced lactation performance (Knight et al., 1986). Indeed lactation performance, assessed by a weigh-suckle-weigh method, was 3-fold greater in QSi5 mice than the CBA strain (Riley et al., 2006). In this study, we utilize the divergent phenotypes of QSi5 and CBA/CaH mice to identify genes associated with enhanced mammary gland capacity. Keywords: Strain differences

2008-04-03 | GSE9668 | GEO

Expression data from osteocytes in virgin,lactating and post lactation mice

Project description:We have previously shown that during lactation, osteocytes directly remodel their perilacunar and pericanalicular matrix, thereby mobilizing calcium and contributing to maternal bone loss. To identify genes potentially responsible for perilacunar remodeling, microarray analysis was performed on osteocytes from CD-1 virgin and lactating mice and mice sacrificed on day 7 post weaning. By comparing how gene expression changes in osteocytes among virgin, lactation and post lactation, the goal is to identify the genes osteocytes use to remodel their perilacunar matrix To identify genes responsible for perilacunar remodeling, microarray analysis was performed on tibiae from CD-1 virgin and lactating mice and mice sacrificed on day 7 post weaning. Periosteum and bone marrow were removed from the tibiae and the bone fragments underwent sequential collagenase/trypsin digestion and were examined histologically to ensure removal of all surface cells and confirm osteocyte enrichment prior to RNA extraction. Microarray Affy M430 arrays, n=3 per group were performed and Genepattern and Bioconductor were used to analyse the microdata.

2011-12-31 | E-GEOD-23496 | biostudies-arrayexpress

GE/miRNA expression profile of Human Epicardial Adipose Tissue (EAT) and Subcutaneous Adipose Tissue (SAT) in Patients with Coronary Artery Disease (CAD) vs. Controls (CTRL) - PART 1 - Genes

Project description:Gene expression profiles of Human EAT vs. SAT (CTRL & CAD). The aim of the present study was to assess a gene expression chart characterizing EAT vs. SAT, and CAD vs. CTRL. Results provide the information that EAT is characterized by a differential expression of different genes when compared to its reference tissue (SAT), and that EAT is characterized by specific gene expression changes in patients with CAD. RNA obtained from EAT & SAT of the same patients (paired samples). Comparisons: EAT vs. SAT (paired samples) & CAD vs. CTRL

2015-11-22 | E-GEOD-64554 | biostudies-arrayexpress

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