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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
25 Jan 1996-Nature
TL;DR: The structure of a heterotrimeric G protein reveals the mechanism of the nucleotide-dependent engagement of the α and βγ subunits that regulates their interaction with receptor and effector molecules.
Abstract: The structure of a heterotrimeric G protein reveals the mechanism of the nucleotide-dependent engagement of the alpha and beta gamma subunits that regulates their interaction with receptor and effector molecules. The interaction involves two distinct interfaces and dramatically alters the conformation of the alpha but not of the beta gamma subunits. The location of the known sites for post-translational modification and receptor coupling suggest a plausible orientation with respect to the membrane surface and an activated heptahelical receptor.

1,138 citations

Journal ArticleDOI
10 Feb 2021-Nature
TL;DR: This paper reported on the antibody and memory B-cell responses of a cohort of 20 volunteers who received the Moderna (mRNA-1273) or Pfizer-BioNTech (BNT162b2) vaccine against SARS-CoV-2.
Abstract: Here we report on the antibody and memory B cell responses of a cohort of 20 volunteers who received the Moderna (mRNA-1273) or Pfizer–BioNTech (BNT162b2) vaccine against SARS-CoV-21–4 Eight weeks after the second injection of vaccine, volunteers showed high levels of IgM and IgG anti-SARS-CoV-2 spike protein (S) and receptor-binding-domain (RBD) binding titre Moreover, the plasma neutralizing activity and relative numbers of RBD-specific memory B cells of vaccinated volunteers were equivalent to those of individuals who had recovered from natural infection5,6 However, activity against SARS-CoV-2 variants that encode E484K-, N501Y- or K417N/E484K/N501-mutant S was reduced by a small—but significant—margin The monoclonal antibodies elicited by the vaccines potently neutralize SARS-CoV-2, and target a number of different RBD epitopes in common with monoclonal antibodies isolated from infected donors5–8 However, neutralization by 14 of the 17 most-potent monoclonal antibodies that we tested was reduced or abolished by the K417N, E484K or N501Y mutation Notably, these mutations were selected when we cultured recombinant vesicular stomatitis virus expressing SARS-CoV-2 S in the presence of the monoclonal antibodies elicited by the vaccines Together, these results suggest that the monoclonal antibodies in clinical use should be tested against newly arising variants, and that mRNA vaccines may need to be updated periodically to avoid a potential loss of clinical efficacy The Moderna (mRNA-1273) and Pfizer–BioNTech (BNT162b2) vaccines elicit anti-RBD antibodies similar to those elicited through natural infection with SARS-CoV-2, but their potent neutralizing activity was reduced or abolished by new viral variants of concern

1,136 citations

Journal ArticleDOI
05 Mar 1999-Cell
TL;DR: A novel family of seven transmembrane domain proteins, encoded by 100 to 200 genes, that is likely to represent the family of Drosophila odorant receptors are identified and may ultimately afford a system to understand the mechanistic link between odor recognition and behavior.

1,136 citations

Journal ArticleDOI
TL;DR: Functional studies have provided exciting insights into how SNARE proteins interact with each other to generate the driving force needed to fuse lipid bilayers.
Abstract: SNARE proteins have been proposed to mediate all intracellular membrane fusion events. There are over 30 SNARE family members in mammalian cells and each is found in a distinct subcellular compartment. It is likely that SNAREs encode aspects of membrane transport specificity but the mechanism by which this specificity is achieved remains controversial. Functional studies have provided exciting insights into how SNARE proteins interact with each other to generate the driving force needed to fuse lipid bilayers.

1,134 citations

01 Mar 2011
TL;DR: In this paper, a massively parallel sequencing of 38 tumour genomes and their comparison to matched normal DNAs was reported, and several new and unexpected oncogenic mechanisms were suggested by the pattern of somatic mutation across the data set.
Abstract: Multiple myeloma is an incurable malignancy of plasma cells, and its pathogenesis is poorly understood. Here we report the massively parallel sequencing of 38 tumour genomes and their comparison to matched normal DNAs. Several new and unexpected oncogenic mechanisms were suggested by the pattern of somatic mutation across the data set. These include the mutation of genes involved in protein translation (seen in nearly half of the patients), genes involved in histone methylation, and genes involved in blood coagulation. In addition, a broader than anticipated role of NF-κB signalling was indicated by mutations in 11 members of the NF-κB pathway. Of potential immediate clinical relevance, activating mutations of the kinase BRAF were observed in 4% of patients, suggesting the evaluation of BRAF inhibitors in multiple myeloma clinical trials. These results indicate that cancer genome sequencing of large collections of samples will yield new insights into cancer not anticipated by existing knowledge.

1,134 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