Bruce W. Birren

Bio: Bruce W. Birren is an academic researcher from Broad Institute. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 103, co-authored 205 publications receiving 113491 citations. Previous affiliations of Bruce W. Birren include Massachusetts Institute of Technology & California Institute of Technology.

The Human Microbiome Project: A Community Resource for the Healthy Human Microbiome

Abstract: This manuscript describes the NIH Human Microbiome Project, including a brief review of human microbiome research, a history of the project, and a comprehensive overview of the consortium's recent collection of publications analyzing the human microbiome.

Pseudomonas aeruginosa PAO1 bacterial artificial chromosomes: strategies for mapping, screening, and sequencing 100 kb loci of the 5.9 Mb genome.

Abstract: Pseudomonas aeruginosa is an opportunistic bacterial pathogen frequently found in nosocomial infections and is a major cause of morbidity and mortality in patients with cystic fibrosis. To facilitate molecular studies of this organism, we have generated a bacterial artificial chromosome (BAC) library. Genomic DNA was isolated from the prototype strain PAOl, partially digested with HindIII, size selected after pulsed-field gel electrophoresis, and used to construct a BAC library using the pBeloBACll vector. DNAs from approximately 850 clones, representing more than 9.5-fold physical coverage of the 5.9-Mb PAOl genome, were analyzed after Spel and HindIII digestions and agarose gel electrophoresis. The BAC library had clones with insert fragments ranging from 20 to more than 290 kb. A subset of 264 BACs having inserts >80 kb, representing >4 genome equivalents, were rearrayed into 96-well plates, and a clone pooling and PCR screening strategy was developed. The PCR library screening enabled the identificati...

Perfect Conserved Linkage Across the Entire Mouse Chromosome 10 Region Homologous to Human Chromosome 21

Abstract: The distal end of human Chromosome (HSA) 21 from PDXK to the telomere shows perfect conserved linkage with mouse Chromosome (MMU) 10. This region is bounded on the proximal side by a segment of homology to HSA22q11.2, and on the distal side by a region of homology with HSA19p13.1. A high-resolution PAC-based physical map is described that spans 2.8 Mb, including the entire 2.1 Mb from Pdxk to Prmt2 corresponding to HSA21. Thirty-four expressed sequences are mapped, three of which were not mapped previously in any species and nine more that are mapped in mouse for the first time. These genes confirm and extend the conserved linkage between MMU10 and HSA21. The ordered PACs and dense STS map provide a clone resource for biological experiments, for rapid and accurate mapping, and for genomic sequencing. The new genes identified here may be involved in Down syndrome (DS) or in several genetic diseases that map to this conserved region of HSA21.

Pulsed-field gel electrophoresis.

Abstract: Publisher Summary Pulsed-field gel electrophoresis (PFGE) of agarose gels enables the reproducible separation of large DNA fragments. In concept, PFGE is an extension of conventional electrophoresis, in which two alternating (or pulsed) electric fields are used instead of the traditional single static field. Separation occurs when these fields are oriented at an obtuse angle to one another. In a pulsed-field gel, the end of each molecule migrates in a new direction, with each change of the electric fields. The DNA molecules, thus, migrate through the agarose matrix in a zigzag motion. The tardiness of the larger molecules, in turning corners (e.g., in PFGE) or in running forward and backward [e.g., in field-inversin gel electrophoresis (FIGE)], separates them from the smaller size fragments. The effectiveness of PFGE, however, is not limited to the separation of very large DNA molecules. PFGE can improve the resolution of DNA molecules of only a few hundred bases and permits separation up to 12,000 kilobase pairs (kb). A number of models and theories have been proposed to explain some of the more complex behavior of DNA molecules in PFGE. However, biologists rarely need to consult these physical models or equations for practical PFGE applications. This chapter discusses the optimum PFG electrophoretic conditions for the separation of DNA fragments from 1 to 6000 kb.

Initial sequencing and analysis of the human genome.

Abstract: The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.

The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

Abstract: Next-generation DNA sequencing (NGS) projects, such as the 1000 Genomes Project, are already revolutionizing our understanding of genetic variation among individuals. However, the massive data sets generated by NGS—the 1000 Genome pilot alone includes nearly five terabases—make writing feature-rich, efficient, and robust analysis tools difficult for even computationally sophisticated individuals. Indeed, many professionals are limited in the scope and the ease with which they can answer scientific questions by the complexity of accessing and manipulating the data produced by these machines. Here, we discuss our Genome Analysis Toolkit (GATK), a structured programming framework designed to ease the development of efficient and robust analysis tools for next-generation DNA sequencers using the functional programming philosophy of MapReduce. The GATK provides a small but rich set of data access patterns that encompass the majority of analysis tool needs. Separating specific analysis calculations from common data management infrastructure enables us to optimize the GATK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and shared memory parallelization. We highlight the capabilities of the GATK by describing the implementation and application of robust, scale-tolerant tools like coverage calculators and single nucleotide polymorphism (SNP) calling. We conclude that the GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.

疟原虫var基因转换速率变化导致抗原变异[英]／Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1（PfPMP1）与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用，在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员，通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing

Abstract: The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V−SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online (http://bioinf.spbau.ru/spades). It is distributed as open source software.

Full-length transcriptome assembly from RNA-Seq data without a reference genome.

Abstract: Massively parallel sequencing of cDNA has enabled deep and efficient probing of transcriptomes. Current approaches for transcript reconstruction from such data often rely on aligning reads to a reference genome, and are thus unsuitable for samples with a partial or missing reference genome. Here we present the Trinity method for de novo assembly of full-length transcripts and evaluate it on samples from fission yeast, mouse and whitefly, whose reference genome is not yet available. By efficiently constructing and analyzing sets of de Bruijn graphs, Trinity fully reconstructs a large fraction of transcripts, including alternatively spliced isoforms and transcripts from recently duplicated genes. Compared with other de novo transcriptome assemblers, Trinity recovers more full-length transcripts across a broad range of expression levels, with a sensitivity similar to methods that rely on genome alignments. Our approach provides a unified solution for transcriptome reconstruction in any sample, especially in the absence of a reference genome.