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Links from GEO DataSets

Items: 20

1.

Effects of lifelong exercise and age on transcriptome dynamics in MHC I and MHC IIa muscle fibers at baseline and in response to resistance exercise (all samples)

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
99 Samples
Download data
Series
Accession:
GSE236600
ID:
200236600
2.

Effects of lifelong exercise and age on transcriptome dynamics in MHC I and MHC IIa muscle fibers at baseline and in response to resistance exercise

(Submitter supplied) RNA-Seq was used for the first time to investigate the effects of resistance exercise on transcriptome dynamics in slow myosin heavy chain (MHC) I and fast MHC IIa muscle fibers among 3 groups of men. Vastus lateralis muscle biopsies were obtained before and 4 hours after resistance exercise.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
81 Samples
Download data: TXT
Series
Accession:
GSE235781
ID:
200235781
3.

Single cell sequencing of mouse muscles

(Submitter supplied) Purpose: The goals of this study are to compare the Quadriceps and diaphragm muscles Methods: Library prepared followed by 10X Genomics standard protocol. Transcriptome were generated by high throughput sequencing
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL19057
2 Samples
Download data: MTX, TSV
Series
Accession:
GSE138707
ID:
200138707
4.

Isolated fiber-type transcriptional profiles in human skeletal muscle

(Submitter supplied) Skeletal muscle is a complex heterogeneous tissue comprised of diverse muscle fiber and non-fiber cell types that, in addition to movement, influences other systems such as immunity, metabolism and cognition. We investigated gene expression patterns of resident human skeletal muscle cells using both single-cell RNA-seq and RNA-seq of single muscle fiber dissections from vastus lateralis. We generated transcriptome profiles of the major multinucleated human skeletal muscle fiber-types as well as 11 human skeletal muscle mononuclear cell types, including immune, endothelial, pericyte and satellite cells. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
18 Samples
Download data: TXT
Series
Accession:
GSE130977
ID:
200130977
5.

Single-cell transcriptional profiles in human skeletal muscle

(Submitter supplied) Skeletal muscle is a complex heterogeneous tissue comprised of diverse muscle fiber and non-fiber cell types that, in addition to movement, influences other systems such as immunity, metabolism and cognition. We investigated gene expression patterns of resident human skeletal muscle cells using single-cell RNA-seq of dissections from vastus lateralis. We generate transcriptome profiles of 11 mononuclear human skeletal muscle mononuclear cell types, including immune, endothelial, pericyte and satellite cells. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
4 Samples
Download data: CSV
Series
Accession:
GSE130646
ID:
200130646
6.

Effects of resistance exercise and resistance training on the skeletal muscle transcriptome in young and old adults

(Submitter supplied) Global microarray (HG U133 Plus 2.0) was used to investigate the effects of resistance exercise and resistance training on the skeletal muscle transcriptome profile of 28 young and old adults. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5218
Platform:
GPL570
110 Samples
Download data: CEL, CHP
Series
Accession:
GSE28422
ID:
200028422
7.

Effects of resistance exercise on the transcriptome in MHC I and MHC IIa muscle fibers of young and old women

(Submitter supplied) Global microarray (HG U133 Plus 2.0) was used for the first time to investigate the effects of resistance exercise on the transcriptome in slow-twitch myosin heavy chain (MHC) I and fast-twitch MHC IIa muscle fibers of young and old women. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5217
Platform:
GPL570
70 Samples
Download data: CEL, CHP
Series
Accession:
GSE28392
ID:
200028392
8.

Effects of age on the skeletal muscle transcriptome

(Submitter supplied) Global microarray (HG U133 Plus 2.0) was used to investigate the basal level skeletal muscle transcriptome profile of young and old adults. One vastus lateralis muscle biopsy was obtained in the basal state from 36 different subjects.
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS5216
Platform:
GPL570
36 Samples
Download data: CEL, CHP
Series
Accession:
GSE25941
ID:
200025941
9.
Full record GDS5218

Resistance exercise effect on skeletal muscles of young and old adults

Analysis of vastus lateralis muscle biopsy samples from young (about 24 years old) and old (about 84 years old) adults before and after 12 weeks of progressive resistance training. Results provide insight into the molecular adaptation of the young and old skeletal muscle to resistance training.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 age, 2 gender, 4 time sets
Platform:
GPL570
Series:
GSE28422
110 Samples
Download data: CEL, CHP
10.
Full record GDS5217

Resistance exercise effect on MHC I and MHC IIa muscle fibers of young and old women

Analysis of slow-twitch MHC I and fast-twitch MHC IIa muscle fibers from young and old women before and after 12 weeks of progressive resistance training. Fibers obtained from vastus lateralis. Results provide insight into the molecular adaptation of young and old MHC I and IIa fibers to exercise.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 age, 14 individual, 4 time, 2 tissue sets
Platform:
GPL570
Series:
GSE28392
70 Samples
Download data: CEL, CHP
11.
Full record GDS5216

Age effect on the skeletal muscle

Analysis of vastus lateralis muscle biopsy samples from young (about 25 years old) and old (about 78 years old) adults. Subjects had not taken part in formal exercise. Results provide insight into the effect of age on basal gene expression in the skeletal muscle.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 age, 2 gender sets
Platform:
GPL570
Series:
GSE25941
36 Samples
Download data: CEL, CHP
12.

The transcriptome profile in skeletal muscle of young male mice and aging male mice fed with or without eicosapentaenoic acid (EPA)

(Submitter supplied) Age-related sarcopenia is associated with a variety of changes in skeletal muscle. These changes are interrelated with each other and associated with systemic metabolism, the details of which, however, are largely unknown. Eicosapentaenoic acid (EPA) is a promising nutrient against sarcopenia and has multifaceted effects on systemic metabolism. Although several human studies have suggested that EPA supplementation protects against sarcopenia, the causal relationship of EPA supplementation and an increase of muscle strength has poor evidence in vivo. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL28457
3 Samples
Download data: TXT
Series
Accession:
GSE149307
ID:
200149307
13.

Association study between gene expression and fiber type composition in skeletal muscle

(Submitter supplied) Total RNA-seq profiling of skeletal muscle.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
24 Samples
Download data: CSV
Series
Accession:
GSE200398
ID:
200200398
14.

DNA methylation on type-specific human skeletal muscle fibers

(Submitter supplied) Purpose: Reduced Representation Bisulfite Sequencing (RRBS) DNA input requirements become a challenge when working with small pools of tissue-specific cell types. We describe an application of the RRBS method to assess DNA methylation on low-DNA input from human slow-twitch (MHC I) and fast-twitch (MHC IIa) skeletal muscle fibers. Methods : Fiber-type specific (MHC I and MHC IIa muscle fibers) total DNA was extracted from vastus lateralis muscle biopsies of 8 young physically active men (~25 yrs). more...
Organism:
Homo sapiens
Type:
Methylation profiling by high throughput sequencing
Platform:
GPL16791
2 Samples
Download data: CSV
Series
Accession:
GSE83741
ID:
200083741
15.

Transcriptome response of human skeletal muscle to divergent exercise stimuli

(Submitter supplied) While acute aerobic and resistance exercise stimulate a number of shared genes, each exercsie mode stimlutes a number of uniquely responsive genes, thus highlighting that different forms of exercise facilitate distinct molecular responses in skeletal muscle.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
29 Samples
Download data: TXT
Series
Accession:
GSE107934
ID:
200107934
16.

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

(Submitter supplied) 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.
Organism:
Rattus norvegicus
Type:
Expression profiling by array
Platform:
GPL14797
3 Samples
Download data: TXT
Series
Accession:
GSE62028
ID:
200062028
17.

microRNA microarray of Sinperca chuatsi's skeletal muscle

(Submitter supplied) Contains 90 Sinperca chuatsi miRNAs identified in fast and slow muscle fibers, and 60 miRNAs showed significantly different levels of expression.
Organism:
Danio rerio; Siniperca chuatsi
Type:
Non-coding RNA profiling by array
Platform:
GPL23235
6 Samples
Download data: XLS
Series
Accession:
GSE97173
ID:
200097173
18.

Contractile activity-specific transcriptome response to acute endurance exercise and training in human skeletal muscle

(Submitter supplied) In our study, we investigated for contractile activity-specific changes in the transcriptome in untrained and trained (after an aerobic training programme) human skeletal muscle. The second goal was to examine effect of aerobic training on gene expression in muscle at baseline (after long term training). Seven untrained males performed the one-legged knee extension exercise (for 60 min) with the same relative intensity before and after a 2 month aerobic training programme (1 h/day, 5/week). more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL16791 GPL18573
84 Samples
Download data: TXT
19.

Single-cell analysis of homeostatic and regenerative adult skeletal muscle stem cells

(Submitter supplied) Skeletal muscle stem cells (MuSCs) ensure the formation and homeostasis of skeletal muscle and are responsible for its growth and repair processes. For repair to occur, MuSCs must exit from quiescence, abandon their niche and asymmetrically and symmetrically divide to reconstitute the stem cell pool and give rise to muscle progenitors, respectively. The transcriptomes of pooled MuSCs have provided a rich source of information for describing the genetic programs underlying distinct static cell states; however, bulk microarray and RNA-seq afford only averaged gene expression profiles, which blur the heterogeneity and developmental dynamics of asynchronous MuSC populations. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL21493
7 Samples
Download data: MTX, TSV
Series
Accession:
GSE126834
ID:
200126834
20.

Skeletal Muscle Transcriptional Networks Linked to Motor Unit Remodeling in Human Parkinson’s Disease

(Submitter supplied) We performed transcriptional profiling to test the hypothesis that type I grouping severity in Parksino's disease link to distinct gene expression networks
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL24676
36 Samples
Download data: TXT
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