Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA sequencing of slow-and fast-cycling epidermal stem cells vs hair follicle stem cells in young vs old mice

ABSTRACT: RNA sequencing of slow-and fast-cycling epidermal stem cells vs hair follicle stem cells in young vs old mice

PROVIDER: PRJNA767627 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR16134000_1.fastq.gz	Fastqsanger.gz
	SRR16134000_2.fastq.gz	Fastqsanger.gz
	SRR16134001_1.fastq.gz	Fastqsanger.gz
	SRR16134001_2.fastq.gz	Fastqsanger.gz
	SRR16134002_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 192

Similar Datasets

RNA sequencing of slow-and fast-cycling epidermal stem cells vs hair follicle stem cells in young vs old mice

Project description:This study was performed to compare transcriptomic changes in the heterogeneous mouse skin epidermal stem cells and hair follicle stem cells (HFSC) populations during chronological aging. Slow-cycling stem cells (label retaining cells, LRCs), fast-cycling stem cells (non-label retaining cells, nLRCs) and hair follicle stem cells express unique gene signatures in young age (2 months old) and have independent stem cell identities. The changes in aging stem cells lineage identities have been a topic of discussion and here we examined if distinct stem cells cycling speed affects their aging process by comparing the transcriptomes of slow-and fast-cycling epidermal stem cells. Our data indicates the loss of unique stem cell identities in aging slow or fast-cycling epidermal stem cells or HFSC at 2 years of age with intermediary effects seen at 1.5 year old.

2022-10-01 | GSE185087 | GEO

Comparative proteome survey of fast vs slow rate of osteogenesis of deer antler

Project description:comparative proteome survey (isobaric tags for relative and absolute quantitation, iTRAQ) on fast vs slow rate of osteogenesis of deer antler

2022-12-27 | PXD039105 |

slow/fast muscle with or without amplification

Project description:Comparing the gene expression profiles of slow and fast skeletal muscle (soleus VS FDB) with either amplified RNA (cRNA probes) or original mRNA (cDNA probes). The fidelity of mRNA amplification method in identifying the gene expression profiles of our samples were validated. Keywords: cell type comparison

2007-01-18 | GSE6654 | GEO

Differences in gene expression between fast and slow muscle or between normal and denervated slow muscles

2014-10-04 | GSE62028 | GEO

Next-generation sequencing facilitates quantitative analysis of rat BMSCs in fast, medium or slow stress relaxation SA hydrogel

Project description:To identify genes and the molecular pathways involved in the regulation of mesenchymal stem cells (MSCs) exposure to various matrix viscoelasticity, we performed RNA-sequence of MSCs in fast stress relaxation (FAST), medium stress relaxation (MEDIUM) and slow stress relaxation (SLOW) matrix.

2021-11-01 | GSE186726 | GEO

Differences in gene expression between fast and slow muscle or between normal and denervated slow muscles

Project description:Fast and slow skeletal muscles show different characteristics and phenotypes. This data obtained from microarray includes the comparison of normal fast plantaris and slow soleus muscles of adult rats. Characters of slow muscle are strongly dependent on the level of muscular activity. Denervation silences the muscular activity. Therefore, we determined the effects of denervation on gene expression in slow soleus muscle of adult rats. Denervation was performed by transection (~5 mm) of left sciatic nerve at the gluteal level. No treatments were made in the normal control rats. Sampling of soleus and/or plantaris was performed in both normal and experimental groups 28 days after the surgery.

2014-10-04 | E-GEOD-62028 | biostudies-arrayexpress

Fast and slow muscle proteins in scallops

Project description:We performed the first quantitative proteomics analysis of differences between striated (fast) and catch (slow) adductor muscle in Yesso scallop (Patinopecten yessoensis), with the goal to uncover muscle specific genes and proteins, as well as enzymes of metabolic pathways in fast and slow adductor muscle of scallops. The present findings highlight the functional roles of muscle contractile proteins, calcium signaling pathways, membrane and extracellular matrix proteins, and glycogen metabolism involved in the different contractile and metabolic properties between fast and slow muscles. The present findings will help better understand the molecular basis underlying muscle contraction and its physiological regulation in invertebrates.

2018-10-26 | PXD005166 | Pride

Difference in mRNA between fast and slow type muscle fibers

Project description:In order to invetigate the impact of CpG methylation on gene expression, transcriptomic profiling using microarray were conducted on the fast and slow type myofibers.

2021-07-20 | GSE154721 | GEO

Gene expression profiling of Fast vs. Slow Chinese Hamster Ovary cell lines using Wye3aHamster array

2013-01-01 | GSE37251 | GEO

Gene expression profiling of Fast vs. Slow Chinese Hamster Ovary cell lines using Wye3aHamster array

Project description:A 3rd generation Wye3aHamster microarray chip was used to carry out a differential expression microarray study of a panel of 30 slow- and fast-growing production cell lines, identifying a priority list of 240 transcripts (110 Up; 130 Down) that passed a statisical filter (ANOVA p-value <0.05, 1.3 fold-change) when the samples were grouped into fast versus slow and pairwise compared and a minimum Pearson Correlation Coefficent (PCC) of >0.7 when growth rate was used as a continuous variable (i.e. included genes have to satisfy BOTH criteria, not just one). This yielded a list of 240 genes. The 240-member genelist yielded 223 Annotated IDs, 203 of which are Unique and all of which are associated with contributing to a high rate of growth in production CHO cell lines. Prospective samples were isolated from 2 distinct groups of clones (slow growers and fast growers), all chosen from the same project (transfection of product transgene into parent line) generated at Pfizer Inc., Bioprocess R&D, Andover, MA, USA. Each group comprised 5 distinct clones, all of which had comparable Qp characteristics. The clones were passaged for 3 or 4 passages over 3-4 days to stabilise the phenotype and freeze stocks. Samples for array hybridization were generated in batch shake flask culture (60ml working volume) with AS1 medium and without feeds or temperature shift. Samples were collected at a single time point (72hrs - mid/late log) and each clone was grown in triplicate flasks, yielding a total of 30 samples for collection and processing. Two bioprocess-relevant variables, viable cell density (VCD) and viability were measured. From the VCD, the growth rate (h-1) was calculated.

2013-01-01 | E-GEOD-37251 | 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