GEO DataSets

Analysis of skeletal muscles of HIV-infected males experiencing weight loss after treatment with testosterone. HIV-associated wasting and weight loss are clinically significant concerns. Results provide insight into androgen action and the potential of anabolic therapies for wasting and sarcopenia.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 agent sets

Platform:

GPL571

Series:

GSE5106

19 Samples

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(Submitter supplied) Context: Although androgen treatment increases muscle mass in HIV-infected men, the underlying mechanisms are poorly understood. Analysis of genome-wide microarray data obtained from skeletal muscle biopsies can be used to profile androgen-regulated pathways. Objective: To identify genes and pathways associated with testosterone treatment and myogenesis in the context of HIV-infected men using genome-wide microarray analysis of skeletal muscle biopsies. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2920

Platform:

GPL571

19 Samples

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(Submitter supplied) The aim of this investigation was to develop a global view of muscle transcriptional differences between older men and women and with aging for each sex.

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4858

Platform:

GPL570

22 Samples

Download data: CEL

Analysis of biceps brachii muscles from men and women 19 to 28 or 65 to 76 years of age. Results provide insight into the influence of gender on age-related changes in the molecular properties of the skeletal muscle.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 age, 2 gender sets

Platform:

GPL570

Series:

GSE38718

22 Samples

Download data: CEL

(Submitter supplied) We analyzed expression of 81 normal muscle samples from humans of varying ages, and have identified a molecular profile for aging consisting of 250 age-regulated genes. This molecular profile correlates not only with chronological age but also with a measure of physiological age. We compared the transcriptional profile of muscle aging to previous transcriptional profiles of aging in kidney and brain, and found a common signature for aging in these diverse human tissues. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

81 Samples

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