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Institution

Broad Institute

NonprofitCambridge, Massachusetts, United States
About: Broad Institute is a nonprofit organization based out in Cambridge, Massachusetts, United States. It is known for research contribution in the topics: Population & Genome-wide association study. The organization has 6584 authors who have published 11618 publications receiving 1522743 citations. The organization is also known as: Eli and Edythe L. Broad Institute of MIT and Harvard.


Papers
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Journal ArticleDOI
24 Feb 2017-Science
TL;DR: In vitro evolution experiments found that in all cases, tolerance preceded resistance, and a mathematical population-genetics model showed how tolerance boosts the chances for resistance mutations to spread in the population.
Abstract: Controlled experimental evolution during antibiotic treatment can help to explain the processes leading to antibiotic resistance in bacteria. Recently, intermittent antibiotic exposures have been shown to lead rapidly to the evolution of tolerance—that is, the ability to survive under treatment without developing resistance. However, whether tolerance delays or promotes the eventual emergence of resistance is unclear. Here we used in vitro evolution experiments to explore this question. We found that in all cases, tolerance preceded resistance. A mathematical population-genetics model showed how tolerance boosts the chances for resistance mutations to spread in the population. Thus, tolerance mutations pave the way for the rapid subsequent evolution of resistance. Preventing the evolution of tolerance may offer a new strategy for delaying the emergence of resistance.

835 citations

Journal ArticleDOI
David Brawand1, David Brawand2, Catherine E. Wagner3, Catherine E. Wagner4, Yang I. Li2, Milan Malinsky5, Milan Malinsky6, Irene Keller3, Shaohua Fan7, Oleg Simakov7, Alvin Yu Jin Ng8, Zhi Wei Lim8, Etienne Bezault9, Jason Turner-Maier1, Jeremy A. Johnson1, Rosa Alcazar10, Hyun Ji Noh1, Pamela Russell11, Bronwen Aken5, Jessica Alföldi1, Chris T. Amemiya12, Naoual Azzouzi13, Jean-François Baroiller, Frédérique Barloy-Hubler13, Aaron M. Berlin1, Ryan F. Bloomquist14, Karen L. Carleton15, Matthew A. Conte15, Helena D'Cotta, Orly Eshel, Leslie Gaffney1, Francis Galibert13, Hugo F. Gante16, Sante Gnerre1, Lucie Greuter4, Lucie Greuter3, Richard Guyon13, Natalie S. Haddad14, Wilfried Haerty2, Robert M Harris17, Hans A. Hofmann17, Thibaut Hourlier5, Gideon Hulata, David B. Jaffe1, Marcia Lara1, Alison P. Lee8, Iain MacCallum1, Salome Mwaiko4, Masato Nikaido18, Hidenori Nishihara18, Catherine Ozouf-Costaz19, David J. Penman20, Dariusz Przybylski1, Michaelle Rakotomanga13, Suzy C. P. Renn9, Filipe J. Ribeiro1, Micha Ron, Walter Salzburger16, Luis Sanchez-Pulido2, M. Emília Santos16, Steve Searle5, Ted Sharpe1, Ross Swofford1, Frederick J. Tan21, Louise Williams1, Sarah Young1, Shuangye Yin1, Norihiro Okada22, Norihiro Okada18, Thomas D. Kocher15, Eric A. Miska6, Eric S. Lander1, Byrappa Venkatesh8, Russell D. Fernald10, Axel Meyer7, Chris P. Ponting2, J. Todd Streelman14, Kerstin Lindblad-Toh23, Kerstin Lindblad-Toh1, Ole Seehausen3, Ole Seehausen4, Federica Di Palma1, Federica Di Palma24 
18 Sep 2014-Nature
TL;DR: This article found an excess of gene duplications in the East African lineage compared to Nile tilapia and other teleosts, an abundance of non-coding element divergence, accelerated coding sequence evolution, expression divergence associated with transposable element insertions, and regulation by novel microRNAs.
Abstract: Cichlid fishes are famous for large, diverse and replicated adaptive radiations in the Great Lakes of East Africa. To understand the molecular mechanisms underlying cichlid phenotypic diversity, we sequenced the genomes and transcriptomes of five lineages of African cichlids: the Nile tilapia (Oreochromis niloticus), an ancestral lineage with low diversity; and four members of the East African lineage: Neolamprologus brichardi/pulcher (older radiation, Lake Tanganyika), Metriaclima zebra (recent radiation, Lake Malawi), Pundamilia nyererei (very recent radiation, Lake Victoria), and Astatotilapia burtoni (riverine species around Lake Tanganyika). We found an excess of gene duplications in the East African lineage compared to tilapia and other teleosts, an abundance of non-coding element divergence, accelerated coding sequence evolution, expression divergence associated with transposable element insertions, and regulation by novel microRNAs. In addition, we analysed sequence data from sixty individuals representing six closely related species from Lake Victoria, and show genome-wide diversifying selection on coding and regulatory variants, some of which were recruited from ancient polymorphisms. We conclude that a number of molecular mechanisms shaped East African cichlid genomes, and that amassing of standing variation during periods of relaxed purifying selection may have been important in facilitating subsequent evolutionary diversification.

832 citations

01 Apr 2015
TL;DR: Seurat is a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns, and it correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups.
Abstract: Spatial localization is a key determinant of cellular fate and behavior, but methods for spatially resolved, transcriptome-wide gene expression profiling across complex tissues are lacking. RNA staining methods assay only a small number of transcripts, whereas single-cell RNA-seq, which measures global gene expression, separates cells from their native spatial context. Here we present Seurat, a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns. We applied Seurat to spatially map 851 single cells from dissociated zebrafish (Danio rerio) embryos and generated a transcriptome-wide map of spatial patterning. We confirmed Seurat's accuracy using several experimental approaches, then used the strategy to identify a set of archetypal expression patterns and spatial markers. Seurat correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups. Seurat will be applicable to mapping cellular localization within complex patterned tissues in diverse systems.

829 citations

Journal ArticleDOI
TL;DR: This article performed massively parallel sequencing of paired tumor/normal samples from 203 multiple myeloma (MM) patients and identified significantly mutated genes and copy number alterations and discovered putative tumor suppressor genes by determining homozygous deletions and loss of heterozygosity.

827 citations

Journal ArticleDOI
07 Sep 2007-Science
TL;DR: The genome of the filamentous fungus Fusarium graminearum, a major pathogen of cultivated cereals, was sequenced and annotated and many highly polymorphic regions contained sets of genes implicated in plant-fungus interactions and were unusually divergent, with higher rates of recombination.
Abstract: We sequenced and annotated the genome of the filamentous fungus Fusarium graminearum, a major pathogen of cultivated cereals. Very few repetitive sequences were detected, and the process of repeat-induced point mutation, in which duplicated sequences are subject to extensive mutation, may partially account for the reduced repeat content and apparent low number of paralogous (ancestrally duplicated) genes. A second strain of F. graminearum contained more than 10,000 single-nucleotide polymorphisms, which were frequently located near telomeres and within other discrete chromosomal segments. Many highly polymorphic regions contained sets of genes implicated in plant-fungus interactions and were unusually divergent, with higher rates of recombination. These regions of genome innovation may result from selection due to interactions of F. graminearum with its plant hosts.

822 citations


Authors

Showing all 7146 results

NameH-indexPapersCitations
Eric S. Lander301826525976
Albert Hofman2672530321405
Frank B. Hu2501675253464
David J. Hunter2131836207050
Kari Stefansson206794174819
Mark J. Daly204763304452
Lewis C. Cantley196748169037
Matthew Meyerson194553243726
Gad Getz189520247560
Stacey Gabriel187383294284
Stuart H. Orkin186715112182
Ralph Weissleder1841160142508
Chris Sander178713233287
Michael I. Jordan1761016216204
Richard A. Young173520126642
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202337
2022628
20211,727
20201,534
20191,364
20181,107