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JournalISSN: 1094-8341

Physiological Genomics 

American Physical Society
About: Physiological Genomics is an academic journal published by American Physical Society. The journal publishes majorly in the area(s): Gene expression profiling & Gene expression. It has an ISSN identifier of 1094-8341. Over the lifetime, 2323 publications have been published receiving 108091 citations.


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Journal ArticleDOI
TL;DR: These data provide an extensive analysis of GAPDH mRNA expression in human tissues and confirm previous reports of the marked variability ofGAPDH expression between tissue types.
Abstract: Quantitative gene expression data are often normalized to the expression levels of control or so-called “housekeeping” genes. An inherent assumption in the use of housekeeping genes is that express...

755 citations

Journal ArticleDOI
TL;DR: Life-long reduction of MnSOD activity leads to increased levels of oxidative damage to DNA and increased cancer incidence but does not appear to affect aging.
Abstract: Mice heterozygous for the Sod2 gene (Sod2+/− mice) have been used to study the phenotype of life-long reduced Mn-superoxide dismutase (MnSOD) activity. The Sod2+/− mice have reduced MnSOD activity ...

713 citations

Journal ArticleDOI
TL;DR: The data show that expression of many microRNAs is altered in heart disease and that different types of heart disease are associated with distinct changes in microRNA expression.
Abstract: MicroRNAs are recently discovered regulators of gene expression and are becoming increasingly recognized as important regulators of heart function. Genome-wide profiling of microRNAs in human heart...

646 citations

Journal ArticleDOI
TL;DR: Gene expression levels of about 7,000 genes were measured in 11 different human adult and fetal tissues using high-density oligonucleotide arrays to identify genes involved in cellular maintenance in normal individuals.
Abstract: Warrington, Janet A., Archana Nair, Mamatha Mahadevappa, and Maya Tsyganskaya. Comparison of human adult and fetal expression and identification of 535 housekeeping/maintenance genes. Physiol Genomics 2: 143–147, 2000.—Gene expression levels of about 7,000 genes were measured in 11 different human adult and fetal tissues using high-density oligonucleotide arrays to identify genes involved in cellular maintenance. The tissues share a set of 535 transcripts that are turned on early in fetal development and stay on throughout adulthood. Because our goal was to identify genes that are involved in maintaining cellular function in normal individuals, we minimized the effect of individual variation by screening mRNA pooled from many individuals. This information is useful for establishing average expression levels in normal individuals. Additionally, we identified transcripts uniquely expressed in each of the 11 tissues.

555 citations

Journal ArticleDOI
TL;DR: A compendium of gene expression in normal human tissues suitable as a reference for defining basic organ systems biology is created and subsets of tissue-selective genes are identified that define key biological processes characterizing each organ.
Abstract: This study creates a compendium of gene expression in normal human tissues suitable as a reference for defining basic organ systems biology. Using oligonucleotide microarrays, we analyze 59 samples representing 19 distinct tissue types. Of approximately 7,000 genes analyzed, 451 genes are expressed in all tissue types and designated as housekeeping genes. These genes display significant variation in expression levels among tissues and are sufficient for discerning tissue-specific expression signatures, indicative of fundamental differences in biochemical processes. In addition, subsets of tissue-selective genes are identified that define key biological processes characterizing each organ. This compendium highlights similarities and differences among organ systems and different individuals and also provides a publicly available resource (Human Gene Expression Index, the HuGE Index, http://www.hugeindex.org) for future studies of pathophysiology.

479 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202330
202250
202146
202055
201966
2018104