Cambridge Broad Institute

Cambridge, MA, United States

Cambridge Broad Institute

Cambridge, MA, United States
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Ting J.T.,Massachusetts Institute of Technology | Ting J.T.,Duke University | Peca J.,Massachusetts Institute of Technology | Feng G.,Massachusetts Institute of Technology | Feng G.,Cambridge Broad Institute
Annual Review of Neuroscience | Year: 2012

Functional studies on postsynaptic scaffolding proteins at excitatory synapses have revealed a plethora of important roles for synaptic structure and function. In addition, a convergence of recent in vivo functional evidence together with human genetics data strongly suggest that mutations in a variety of these postsynaptic scaffolding proteins may contribute to the etiology of diverse human psychiatric disorders such as schizophrenia, autism spectrum disorders, and obsessive-compulsive spectrum disorders.Herewe review themost recent evidence for several key postsynaptic scaffolding protein families and explore how mouse genetics and human genetics have intersected to advance our knowledge concerning the contributions of these important players to complex brain function and dysfunction. © 2012 by Annual Reviews. All rights reserved.


Peca J.,Massachusetts Institute of Technology | Feng G.,Massachusetts Institute of Technology | Feng G.,Cambridge Broad Institute
Current Opinion in Neurobiology | Year: 2012

Many candidate genes are now thought to confer susceptibility to autism spectrum disorders (ASDs). Here we review four interrelated complexes, each composed of multiple families of genes that functionally coalesce on common cellular pathways. We illustrate a common thread in the organization of glutamatergic synapses and suggest a link between genes involved in Tuberous Sclerosis Complex, Fragile X syndrome, Angelman syndrome and several synaptic ASD candidate genes. When viewed in this context, progress in deciphering the molecular architecture of cellular protein-protein interactions together with the unraveling of synaptic dysfunction in neural networks may prove pivotal to advancing our understanding of ASDs. © 2012 Elsevier Ltd.


Yuan Y.,Cambridge Broad Institute
Cell death & disease | Year: 2013

The histone methyltransferase G9a is overexpressed in a variety of cancer types, including pancreatic adenocarcinoma, and promotes tumor invasiveness and metastasis. We recently reported the discovery of BRD4770, a small-molecule inhibitor of G9a that induces senescence in PANC-1 cells. We observed that the cytotoxic effects of BRD4770 were dependent on genetic background, with cell lines lacking functional p53 being relatively resistant to compound treatment. To understand the mechanism of genetic selectivity, we used two complementary screening approaches to identify enhancers of BRD4770. The natural product and putative BH3 mimetic gossypol enhanced the cytotoxicity of BRD4770 in a synergistic manner in p53-mutant PANC-1 cells but not in immortalized non-tumorigenic pancreatic cells. The combination of gossypol and BRD4770 increased LC3-II levels and the autophagosome number in PANC-1 cells, and the compound combination appears to act in a BNIP3 (B-cell lymphoma 2 19-kDa interacting protein)-dependent manner, suggesting that these compounds act together to induce autophagy-related cell death in pancreatic cancer cells.


Neafsey D.E.,Cambridge Broad Institute
Genome biology | Year: 2011

A report on the Advances in Genome Biology & Technology conference, Marco Island, USA, 2-5 February 2011.


Vilhjalmsson B.J.,Harvard University | Vilhjalmsson B.J.,Cambridge Broad Institute | Nordborg M.,Austrian Academy of Sciences | Nordborg M.,University of Southern California
Nature Reviews Genetics | Year: 2013

The authors argue that population structure per se is not a problem in genome-wide association studies - the true sources are the environment and the genetic background, and the latter is greatly underappreciated. They conclude that mixed models effectively address this issue. © 2013 Macmillan Publishers Limited.


Li H.,Cambridge Broad Institute
Bioinformatics | Year: 2012

Motivation: Eugene Myers in his string graph paper suggested that in a string graph or equivalently a unitig graph, any path spells a valid assembly. As a string/unitig graph also encodes every valid assembly of reads, such a graph, provided that it can be constructed correctly, is in fact a lossless representation of reads. In principle, every analysis based on whole-genome shotgun sequencing (WGS) data, such as SNP and insertion/deletion (INDEL) calling, can also be achieved with unitigs.Results: To explore the feasibility of using de novo assembly in the context of resequencing, we developed a de novo assembler, fermi, that assembles Illumina short reads into unitigs while preserving most of information of the input reads. SNPs and INDELs can be called by mapping the unitigs against a reference genome. By applying the method on 35-fold human resequencing data, we showed that in comparison to the standard pipeline, our approach yields similar accuracy for SNP calling and better results for INDEL calling. It has higher sensitivity than other de novo assembly based methods for variant calling. Our work suggests that variant calling with de novo assembly can be a beneficial complement to the standard variant calling pipeline for whole-genome resequencing. In the methodological aspects, we propose FMD-index for forward-backward extension of DNA sequences, a fast algorithm for finding all super-maximal exact matches and one-pass construction of unitigs from an FMD-index. © The Author 2012. Published by Oxford University Press. All rights reserved.


Yaffe M.B.,American Association for the Advancement of Science | Yaffe M.B.,Cambridge Broad Institute
Science Signaling | Year: 2013

The massive resources devoted to genome sequencing of human tumors have produced important data sets for the cancer biology community. Paradoxically, however, these studies have revealed very little new biology. Despite this, additional resources in the United States are slated to continue such work and to expand similar efforts in genome sequencing to mouse tumors. It may be that scientists are "addicted" to the large amounts of data that can be relatively easily obtained, even though these data seem unlikely, on their own, to unveil new cancer treatment options or result in the ultimate goal of a cancer cure. Rather than using more tumor genetic sequences, a better strategy for identifying new treatment options may be to develop methods for analyzing the signaling networks that underlie cancer development, progression, and therapeutic resistance at both a personal and systems-wide level. © 2013 American Association for the Advancement of Science.


Li H.,Cambridge Broad Institute
Bioinformatics | Year: 2011

Summary: I propose a new application of profile Hidden Markov Models in the area of SNP discovery from resequencing data, to greatly reduce false SNP calls caused by misalignments around insertions and deletions (indels). The central concept is per-Base Alignment Quality, which accurately measures the probability of a read base being wrongly aligned. The effectiveness of BAQ has been positively confirmed on large datasets by the 1000 Genomes Project analysis subgroup. © The Author 2011. Published by Oxford University Press. All rights reserved.


Motivation: Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of the next-generation sequencing (NGS), accurate genotypes may not be easily obtained (e.g. multi-sample low-coverage sequencing or somatic mutation discovery). These applications press for the development of new methods for analyzing sequence data with uncertainty. Results: We present a statistical framework for calling SNPs, discovering somatic mutations, inferring population genetical parameters and performing association tests directly based on sequencing data without explicit genotyping or linkage-based imputation. On real data, we demonstrate that our method achieves comparable accuracy to alternative methods for estimating site allele count, for inferring allele frequency spectrum and for association mapping. We also highlight the necessity of using symmetric datasets for finding somatic mutations and confirm that for discovering rare events, mismapping is frequently the leading source of errors. © The Author 2011. Published by Oxford University Press. All rights reserved.


Galagan J.E.,Boston University | Galagan J.E.,Cambridge Broad Institute
Nature Reviews Genetics | Year: 2014

Prevalent since pre-history, human tuberculosis-caused by the pathogen Mycobacterium tuberculosis-remains a major source of death worldwide. Moreover, increasing drug resistance poses the threat of disease resurgence. However, the expanding application of genomic techniques is providing new avenues for combating this old foe. Whole-genome sequencing, comparative genomics and systems biology are generating new insights into the origins and ongoing evolution of M. tuberculosis, as well as the molecular basis for its pathogenicity. These have important implications for our perspective of the disease, development of new drugs and vaccines, and treatment of patients using existing therapeutics. © 2014 Macmillan Publishers Limited. All rights reserved.

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