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Links from GEO DataSets

Items: 16

1.

Gene Expression Defines Natural Changes in Mammalian Lifespan

(Submitter supplied) Mammals differ more than hundred fold in maximum lifespan, which can be altered in either direction during evolution, but the molecular basis for natural changes in longevity is not understood. Divergent evolution of mammals also led to extensive changes in gene expression within and between lineages. To understand the relationship between lifespan and variation in gene expression, we carried out RNA-seq-based gene expression analyses of liver, kidney and brain of 33 diverse species of mammals. more...
Organism:
Tadarida brasiliensis; Ursus americanus; Meles meles; Equus caballus; Mesocricetus auratus; Meriones unguiculatus; Chlorocebus aethiops; Felis catus; Bos taurus; Capra hircus; Oryctolagus cuniculus; Rattus norvegicus; Sus scrofa; Mus musculus; Petaurus breviceps; Murina leucogaster; Erinaceus europaeus; Suncus murinus; Canis lupus familiaris; Peromyscus leucopus; Acomys cahirinus; Cavia porcellus; Tamias sibiricus
Type:
Expression profiling by high throughput sequencing
23 related Platforms
141 Samples
Download data: GTF, TXT
Series
Accession:
GSE43013
ID:
200043013
2.

Distinct longevity mechanisms across and within species and their association with aging

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Papio anubis; Ursus americanus; Petaurus breviceps; Castor canadensis; Macaca fascicularis; Mus musculus; Murina leucogaster; Peromyscus leucopus; Tamias sibiricus
Type:
Expression profiling by high throughput sequencing
9 related Platforms
90 Samples
Download data
Series
Accession:
GSE227360
ID:
200227360
3.

Gene expression signatures of mammalian longevity across species

(Submitter supplied) Lifespan varies both within and across species, but the general principles of its control are not understood. To identify transcriptomic signatures of mammalian longevity, we sequenced multiple organs of young adult mammals corresponding to 8 different species, including Canadian beaver, long-tailed macaque, greater tube-nosed bat, baboon, white-footed mouse, sugar glider, Siberian chipmunk and American black bear. more...
Organism:
Macaca fascicularis; Petaurus breviceps; Murina leucogaster; Castor canadensis; Papio anubis; Ursus americanus; Peromyscus leucopus; Tamias sibiricus
Type:
Expression profiling by high throughput sequencing
8 related Platforms
48 Samples
Download data: CSV
Series
Accession:
GSE227359
ID:
200227359
4.

RNA sequencing of mouse liver and kidney after 1-month treatment with predicted longevity compounds

(Submitter supplied) This dataset consists of liver and kidney gene expression profiles of young UM-HET3 mice subjected to the following compounds for 1 month: AS-703026 (liver and kidney), enzastaurin (liver and kidney), GDC-0941 (liver and kidney), ascorbyl-palmitate (kidney), AZD8055 (kidney) and KU0063794 (kidney). Corresponding age-, sex- and strain-matched littermate controls for kidney are also presented. This dataset complements liver RNAseq profiles of control UM-HET3 mice and mice subjected to ascorbyl-palmitate, AZD8055 and KU0063794 (collected and sequenced at the same time) stored at GSE131868.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
42 Samples
Download data: CSV
Series
Accession:
GSE227358
ID:
200227358
5.

The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [Macaque_450k]

(Submitter supplied) We used blood samples from Macaque to determine rate of change of methylation with respect to age.
Organism:
Homo sapiens; Macaca mulatta
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
6 Samples
Download data
Series
Accession:
GSE104217
ID:
200104217
6.

The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [TC1_450k]

(Submitter supplied) We used liver samples from TC1 Mice to determine rate of change of methylation with respect to age.
Organism:
Mus musculus; Homo sapiens
Type:
Methylation profiling by genome tiling array
Platform:
GPL13534
6 Samples
Download data: TXT
Series
Accession:
GSE104216
ID:
200104216
7.

The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [Bis-PCR: naked mole-rat]

(Submitter supplied) We used liver samples from Naked Mole Rat to determine rate of change of methylation with respect to age.
Organism:
Heterocephalus glaber
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL24046
24 Samples
Download data: TXT
Series
Accession:
GSE104215
ID:
200104215
8.

The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Mus musculus; Heterocephalus glaber; Homo sapiens; Canis lupus familiaris; Macaca mulatta
Type:
Methylation profiling by high throughput sequencing; Methylation profiling by genome tiling array
Platforms:
GPL24046 GPL13534 GPL22370
84 Samples
Download data: TXT
Series
Accession:
GSE86059
ID:
200086059
9.

The rate of ageing-associated DNA methylation dynamics is a molecular readout of lifespan variation amongst mammalian species [Bis-PCR: dog]

(Submitter supplied) We used buccal samples from two different dog breeds with well established differences in average lifespan to perform genome-scale identification of ageing-associated differentially methylated positions (aDMPs) in a total of 48 different dogs. A significant proportion of aDMPs that gained methylation with age replicated in an independent cohort. Furthermore, we also show that human aDMPs show similar ageing-associated dynamics at the homologous genomic regions in the dog. more...
Organism:
Canis lupus familiaris
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL22370
48 Samples
Download data: TXT
Series
Accession:
GSE86058
ID:
200086058
10.

Aging in naked mole-rats and rats

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Rattus norvegicus; Heterocephalus glaber
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL18694 GPL21195
18 Samples
Download data
Series
Accession:
GSE98746
ID:
200098746
11.

RNA-seq of naked mole-rat liver from young and old animals

(Submitter supplied) Comparison of gene expression level by Illumina sequencing of naked mole-rat liver from young and old animals. We identified differentially expressed genes and provide functional profiles, which give insights into the aging process of long-lived rodents.
Organism:
Heterocephalus glaber
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21195
9 Samples
Download data: XLS
Series
Accession:
GSE98744
ID:
200098744
12.

Time-course expression data during assurance of the chronological longevity by caloric restriction in budding yeast

(Submitter supplied) Caloric restriction (CR) is the only non-genetic intervention to retard aging and increase longevity in a variety of species. It is important to understand the fundamental mechanism by which CR extends lifespan that remains elusive. Owing to well-established genomic tools and convenience of culture system, we used a single cell organism, Saccharomyces cerevisiae, to clarify the mechanisms of CR. In order to identify genes responsible for CR-mediated longevity, we performed microarray experiments across the longevity assurance time-points.
Organism:
Schizosaccharomyces pombe; Saccharomyces cerevisiae BY4741; Saccharomyces cerevisiae
Type:
Expression profiling by array
Platform:
GPL2529
24 Samples
Download data: CEL, CHP
Series
Accession:
GSE41860
ID:
200041860
13.

RNA-seq of the killifish N.furzeri during normal aging (cross-sectional and longitudinal study) and treatment with rotenone

(Submitter supplied) The study consists of three parts: 1) normal aging in liver and skin (cross-sectional); 2) treatment with rotenone in brain, liver and skin; 3) longitudinal study of 45 fish with different ages at their death measured at two different time points by fin clipping Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)
Organism:
Nothobranchius furzeri
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL17944 GPL19871
185 Samples
Download data: TXT
Series
Accession:
GSE66712
ID:
200066712
14.

RNA-seq of zebrafish brain, liver and skin during perturbation with rotenone at young and old age

(Submitter supplied) Zebrafish of two different age groups (12 and 36 months) were treated with low amounts of rotenone (mild stress) and compared to untreated zebrafish. Two different durations were used (3 and 8 weeks). Illumina sequencing (HiSeq2000) was applied to generate 50bp single-end reads. Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)
Organism:
Danio rerio
Type:
Expression profiling by high throughput sequencing
Platform:
GPL14875
68 Samples
Download data: XLS
Series
Accession:
GSE66362
ID:
200066362
15.

RNA-seq of the brain of Nothobranchius furzeri at different time points

(Submitter supplied) Background: Comparison of temporal gene expression profiles The RNA-seq data comprises 5 age groups: 5,12,20,27,39 weeks Jena Centre for Systems Biology of Ageing - JenAge (www.jenage.de)
Organism:
Nothobranchius furzeri
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17944
25 Samples
Download data: XLS
Series
Accession:
GSE52462
ID:
200052462
16.

Comparative transcriptomics reveals circadian and pluripotency networks as two pillars of longevity regulation

(Submitter supplied) Mammals differ more than 100-fold in maximum lifespan. Here, we conducted comparative transcriptomics on 26 species with diverse lifespans. We identified thousands of genes with expression levels negatively or positively correlated with a species' maximum lifespan (Neg- or Pos-MLS genes). Neg-MLS genes are primarily involved in energy metabolism and inflammation. Pos-MLS genes show enrichment in DNA repair, microtubule organization, and RNA transport. more...
Organism:
Mesocricetus auratus; Mus musculus; Sciurus carolinensis; Tamias striatus; Neotoma cinerea; Condylura cristata; Fukomys damarensis; Peromyscus maniculatus; Ondatra zibethicus; Hydrochoerus hydrochaeris; Ellobius lutescens; Cuniculus paca; Cricetulus barabensis; Blarina brevicauda; Tamiasciurus hudsonicus; Rattus rattus; Myocastor coypus; Heterocephalus glaber; Castor canadensis; Acomys russatus; Marmota monax; Cavia porcellus; Octodon degus; Chinchilla lanigera; Scalopus aquaticus
Type:
Expression profiling by high throughput sequencing
25 related Platforms
522 Samples
Download data: TXT
Series
Accession:
GSE190756
ID:
200190756
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