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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
TL;DR: The results of expression analysis with MSN2/MSN4 mutants support the model that the Msn2/Msn4 activators induce the common response to environmental change and extend the understanding of the role of activators in effecting this response.
Abstract: We used genome-wide expression analysis to explore how gene expression in Saccharomyces cerevisiae is remodeled in response to various changes in extracellular environment, including changes in temperature, oxidation, nutrients, pH, and osmolarity. The results demonstrate that more than half of the genome is involved in various responses to environmental change and identify the global set of genes induced and repressed by each condition. These data implicate a substantial number of previously uncharacterized genes in these responses and reveal a signature common to environmental responses that involves approximately 10% of yeast genes. The results of expression analysis with MSN2/MSN4 mutants support the model that the Msn2/Msn4 activators induce the common response to environmental change. These results provide a global description of the transcriptional response to environmental change and extend our understanding of the role of activators in effecting this response.

1,381 citations

Journal ArticleDOI
28 Sep 2000-Nature
TL;DR: It is shown that the ER isoform, ERα, binds in a ligand-dependent manner to the p85α regulatory subunit of phosphatidylinositol-3-OH kinase (PI(3)K).
Abstract: Oestrogen produces diverse biological effects through binding to the oestrogen receptor (ER). The ER is a steroid hormone nuclear receptor, which, when bound to oestrogen, modulates the transcriptional activity of target genes. Controversy exists, however, concerning whether ER has a role outside the nucleus, particularly in mediating the cardiovascular protective effects of oestrogen. Here we show that the ER isoform, ER alpha, binds in a ligand-dependent manner to the p85alpha regulatory subunit of phosphatidylinositol-3-OH kinase (PI(3)K). Stimulation with oestrogen increases ER alpha-associated PI(3)K activity, leading to the activation of protein kinase B/Akt and endothelial nitric oxide synthase (eNOS). Recruitment and activation of PI(3)K by ligand-bound ER alpha are independent of gene transcription, do not involve phosphotyrosine adapter molecules or src-homology domains of p85alpha, and extend to other steroid hormone receptors. Mice treated with oestrogen show increased eNOS activity and decreased vascular leukocyte accumulation after ischaemia and reperfusion injury. This vascular protective effect of oestrogen was abolished in the presence of PI(3)K or eNOS inhibitors. Our findings define a physiologically important non-nuclear oestrogen-signalling pathway involving the direct interaction of ER alpha with PI(3)K.

1,380 citations

Journal ArticleDOI
TL;DR: The recent discovery that CD28 and B7 are each members of larger gene families suggests that the regulation of co-stimulation is more complex than previously imagined.

1,379 citations

Journal ArticleDOI
TL;DR: DEC-205 provides an efficient receptor-based mechanism for dendritic cells to process proteins for MHC class I presentation in vivo, leading to tolerance in the steady state and immunity after DC maturation.
Abstract: To identify endocytic receptors that allow dendritic cells (DCs) to capture and present antigens on major histocompatibility complex (MHC) class I products in vivo, we evaluated DEC-205, which is abundant on DCs in lymphoid tissues. Ovalbumin (OVA) protein, when chemically coupled to monoclonal αDEC-205 antibody, was presented by CD11c+ lymph node DCs, but not by CD11c− cells, to OVA-specific, CD4+ and CD8+ T cells. Receptor-mediated presentation was at least 400 times more efficient than unconjugated OVA and, for MHC class I, the DCs had to express transporter of antigenic peptides (TAP) transporters. When αDEC-205:OVA was injected subcutaneously, OVA protein was identified over a 4–48 h period in DCs, primarily in the lymph nodes draining the injection site. In vivo, the OVA protein was selectively presented by DCs to TCR transgenic CD8+ cells, again at least 400 times more effectively than soluble OVA and in a TAP-dependent fashion. Targeting of αDEC-205:OVA to DCs in the steady state initially induced 4–7 cycles of T cell division, but the T cells were then deleted and the mice became specifically unresponsive to rechallenge with OVA in complete Freund's adjuvant. In contrast, simultaneous delivery of a DC maturation stimulus via CD40, together with αDEC-205:OVA, induced strong immunity. The CD8+ T cells responding in the presence of agonistic αCD40 antibody produced large amounts of interleukin 2 and interferon γ, acquired cytolytic function in vivo, emigrated in large numbers to the lung, and responded vigorously to OVA rechallenge. Therefore, DEC-205 provides an efficient receptor-based mechanism for DCs to process proteins for MHC class I presentation in vivo, leading to tolerance in the steady state and immunity after DC maturation.

1,379 citations

Journal ArticleDOI
TL;DR: This article reviews algorithms and methods for detecting and classifying action potentials, a problem commonly referred to as spike sorting and discusses the advantages and limitations of each and the applicability of these methods for different types of experimental demands.
Abstract: The detection of neural spike activity is a technical challenge that is a prerequisite for studying many types of brain function. Measuring the activity of individual neurons accurately can be difficult due to large amounts of background noise and the difficulty in distinguishing the action potentials of one neuron from those of others in the local area. This article reviews algorithms and methods for detecting and classifying action potentials, a problem commonly referred to as spike sorting. The article first discusses the challenges of measuring neural activity and the basic issues of signal detection and classification. It reviews and illustrates algorithms and techniques that have been applied to many of the problems in spike sorting and discusses the advantages and limitations of each and the applicability of these methods for different types of experimental demands. The article is written both for the physiologist wanting to use simple methods that will improve experimental yield and minimize the selection biases of traditional techniques and for those who want to apply or extend more sophisticated algorithms to meet new experimental challenges.

1,378 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