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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 potential of Fast UniFrac is shown using examples from three data types: Sanger-sequencing studies of diverse free-living and animal-associated bacterial assemblages and from the gut of obese humans as they diet, pyrosequencing data integrated from studies of the human hand and gut, and PhyloChip data from a study of citrus pathogens.
Abstract: Next-generation sequencing techniques, and PhyloChip, have made simultaneous phylogenetic analyses of hundreds of microbial communities possible Insight into community structure has been limited by the inability to integrate and visualize such vast datasets Fast UniFrac overcomes these issues, allowing integration of larger numbers of sequences and samples into a single analysis Its new array-based implementation offers orders of magnitude improvements over the original version New 3D visualization of principal coordinates analysis results, with the option to view multiple coordinate axes simultaneously, provides a powerful way to quickly identify patterns that relate vast numbers of microbial communities We show the potential of Fast UniFrac using examples from three data types: Sanger-sequencing studies of diverse free-living and animal-associated bacterial assemblages and from the gut of obese humans as they diet, pyrosequencing data integrated from studies of the human hand and gut, and PhyloChip data from a study of citrus pathogens We show that a Fast UniFrac analysis using a reference tree recaptures patterns that could not be detected without considering phylogenetic relationships and that Fast UniFrac, coupled with BLAST-based sequence assignment, can be used to quickly analyze pyrosequencing runs containing hundreds of thousands of sequences, showing patterns relating human and gut samples Finally, we show that the application of Fast UniFrac to PhyloChip data could identify well-defined subcategories associated with infection Together, these case studies point the way toward a broad range of applications and show some of the new features of Fast UniFrac

1,024 citations

Journal ArticleDOI
TL;DR: Activation tagging using T-DNA vectors that contain multimerized transcriptional enhancers from the cauliflower mosaic virus (CaMV) 35S gene has been applied to Arabidopsis plants, and it is shown that overexpressed genes are almost always found immediately adjacent to the inserted CaMV 35S enhancers.
Abstract: Activation tagging using T-DNA vectors that contain multimerized transcriptional enhancers from the cauliflower mosaic virus (CaMV) 35S gene has been applied to Arabidopsis plants. New activation-tagging vectors that confer resistance to the antibiotic kanamycin or the herbicide glufosinate have been used to generate several tens of thousands of transformed plants. From these, over 30 dominant mutants with various phenotypes have been isolated. Analysis of a subset of mutants has shown that overexpressed genes are almost always found immediately adjacent to the inserted CaMV 35S enhancers, at distances ranging from 380 bp to 3.6 kb. In at least one case, the CaMV 35S enhancers led primarily to an enhancement of the endogenous expression pattern rather than to constitutive ectopic expression, suggesting that the CaMV 35S enhancers used here act differently than the complete CaMV 35S promoter. This has important implications for the spectrum of genes that will be discovered by this method.

1,023 citations

Journal ArticleDOI
27 Oct 2011-Nature
TL;DR: The comparison of related genomes has emerged as a powerful lens for genome interpretation and sequencing and comparative analysis of 29 eutherian genomes confirm that at least 5.5% of the human genome has undergone purifying selection, and locate constrained elements covering ∼4.2%" of the genome.
Abstract: The comparison of related genomes has emerged as a powerful lens for genome interpretation. Here we report the sequencing and comparative analysis of 29 eutherian genomes. We confirm that at least 5.5% of the human genome has undergone purifying selection, and locate constrained elements covering ∼4.2% of the genome. We use evolutionary signatures and comparisons with experimental data sets to suggest candidate functions for ∼60% of constrained bases. These elements reveal a small number of new coding exons, candidate stop codon readthrough events and over 10,000 regions of overlapping synonymous constraint within protein-coding exons. We find 220 candidate RNA structural families, and nearly a million elements overlapping potential promoter, enhancer and insulator regions. We report specific amino acid residues that have undergone positive selection, 280,000 non-coding elements exapted from mobile elements and more than 1,000 primate- and human-accelerated elements. Overlap with disease-associated variants indicates that our findings will be relevant for studies of human biology, health and disease.

1,023 citations

Journal ArticleDOI
11 Jul 1997-Cell
TL;DR: P Pax6 establishes distinct ventral progenitor cell populations and controls the identity of motor neurons and ventral interneurons, mediating graded Shh signaling in the ventral spinal cord and hindbrain.

1,022 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