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Institution

Howard Hughes Medical Institute

NonprofitChevy Chase, Maryland, United States
About: Howard Hughes Medical Institute is a nonprofit organization based out in Chevy Chase, Maryland, United States. It is known for research contribution in the topics: Gene & RNA. The organization has 20371 authors who have published 34677 publications receiving 5247143 citations. The organization is also known as: HHMI & hhmi.org.


Papers
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Journal ArticleDOI
08 Oct 2010-Science
TL;DR: The nature and pattern of the mutations suggest that PPP2R1A functions as an oncogene and ARID1A as a tumor-suppressor gene contributes to the pathogenesis of OCCC.
Abstract: Ovarian clear cell carcinoma (OCCC) is an aggressive human cancer that is generally resistant to therapy. To explore the genetic origin of OCCC, we determined the exomic sequences of eight tumors after immunoaffinity purification of cancer cells. Through comparative analyses of normal cells from the same patients, we identified four genes that were mutated in at least two tumors. PIK3CA, which encodes a subunit of phosphatidylinositol-3 kinase, and KRAS, which encodes a well-known oncoprotein, had previously been implicated in OCCC. The other two mutated genes were previously unknown to be involved in OCCC: PPP2R1A encodes a regulatory subunit of serine/threonine phosphatase 2, and ARID1A encodes adenine-thymine (AT)-rich interactive domain-containing protein 1A, which participates in chromatin remodeling. The nature and pattern of the mutations suggest that PPP2R1A functions as an oncogene and ARID1A as a tumor-suppressor gene. In a total of 42 OCCCs, 7% had mutations in PPP2R1A and 57% had mutations in ARID1A. These results suggest that aberrant chromatin remodeling contributes to the pathogenesis of OCCC.

1,130 citations

Journal ArticleDOI
22 May 2003-Nature
TL;DR: It is shown that therapeutic concentrations of lithium, a GSK-3 inhibitor, block the production of Aβ peptides by interfering with APP cleavage at the γ-secretase step, but do not inhibit Notch processing.
Abstract: Alzheimer's disease is associated with increased production and aggregation of amyloid-β (Aβ) peptides1. Aβ peptides are derived from the amyloid precursor protein (APP) by sequential proteolysis, catalysed by the aspartyl protease BACE2, followed by presenilin-dependent γ-secretase cleavage3. Presenilin interacts with nicastrin4,5, APH-1 and PEN-2 (ref. 6), all of which are required for γ-secretase function. Presenilins also interact with α-catenin, β-catenin7,8 and glycogen synthase kinase-3β (GSK-3β)9,10,11, but a functional role for these proteins in γ-secretase activity has not been established. Here we show that therapeutic concentrations of lithium, a GSK-3 inhibitor12, block the production of Aβ peptides by interfering with APP cleavage at the γ-secretase step, but do not inhibit Notch processing. Importantly, lithium also blocks the accumulation of Aβ peptides in the brains of mice that overproduce APP. The target of lithium in this setting is GSK-3α, which is required for maximal processing of APP. Since GSK-3 also phosphorylates tau protein, the principal component of neurofibrillary tangles, inhibition of GSK-3α offers a new approach to reduce the formation of both amyloid plaques and neurofibrillary tangles, two pathological hallmarks of Alzheimer's disease.

1,125 citations

Journal ArticleDOI
TL;DR: The fundamental structural principles of the retina give a bottom-up view of the strategies used in the retina's processing of visual information and suggest new questions for physiological experiments and modeling.
Abstract: The retina, like many other central nervous system structures, contains a huge diversity of neuronal types. Mammalian retinas contain approximately 55 distinct cell types, each with a different function. The census of cell types is nearing completion, as the development of quantitative methods makes it possible to be reasonably confident that few additional types exist. Although much remains to be learned, the fundamental structural principles are now becoming clear. They give a bottom-up view of the strategies used in the retina’s processing of visual information and suggest new questions for physiological experiments and modeling.

1,122 citations

Journal ArticleDOI
TL;DR: It is demonstrated that SIRT3 has evolved to control reversible lysine acetylation in this organelle and is shown to be a soluble mitochondrial protein.
Abstract: Homologs of the Saccharomyces cerevisiae Sir2 protein, sirtuins, promote longevity in many organisms. Studies of the sirtuin SIRT3 have so far been limited to cell culture systems. Here, we investigate the localization and function of SIRT3 in vivo. We show that endogenous mouse SIRT3 is a soluble mitochondrial protein. To address the function and relevance of SIRT3 in the regulation of energy metabolism, we generated and phenotypically characterized SIRT3 knockout mice. SIRT3-deficient animals exhibit striking mitochondrial protein hyperacetylation, suggesting that SIRT3 is a major mitochondrial deacetylase. In contrast, no mitochondrial hyperacetylation was detectable in mice lacking the two other mitochondrial sirtuins, SIRT4 and SIRT5. Surprisingly, despite this biochemical phenotype, SIRT3-deficient mice are metabolically unremarkable under basal conditions and show normal adaptive thermogenesis, a process previously suggested to involve SIRT3. Overall, our results extend the recent finding of lysine acetylation of mitochondrial proteins and demonstrate that SIRT3 has evolved to control reversible lysine acetylation in this organelle.

1,122 citations


Authors

Showing all 20486 results

NameH-indexPapersCitations
Bert Vogelstein247757332094
Richard A. Flavell2311328205119
Steven A. Rosenberg2181204199262
Kenneth W. Kinzler215640243944
Robert J. Lefkowitz214860147995
Rob Knight2011061253207
Irving L. Weissman2011141172504
Ronald M. Evans199708166722
Francis S. Collins196743250787
Craig B. Thompson195557173172
Thomas C. Südhof191653118007
Joan Massagué189408149951
Stuart H. Orkin186715112182
John P. A. Ioannidis1851311193612
Eric R. Kandel184603113560
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022228
20211,583
20201,587
20191,591
20181,394