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Dive into the research topics where Maithreyan Srinivasan is active.

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Featured researches published by Maithreyan Srinivasan.


Nature | 2005

Genome sequencing in microfabricated high-density picolitre reactors

Marcel Margulies; Michael Egholm; William E. Altman; Said Attiya; Joel S. Bader; Lisa A. Bemben; Jan Berka; Michael S. Braverman; Yi-Ju Chen; Zhoutao Chen; Scott Dewell; Lei Du; Joseph M. Fierro; Xavier V. Gomes; Brian Godwin; Wen He; Scott Helgesen; Chun He Ho; Gerard P. Irzyk; Szilveszter C. Jando; Maria L. I. Alenquer; Thomas P. Jarvie; Kshama B. Jirage; Jong-Bum Kim; James Knight; Janna R. Lanza; John H. Leamon; Steven M. Lefkowitz; Ming Lei; Jing Li

The proliferation of large-scale DNA-sequencing projects in recent years has driven a search for alternative methods to reduce time and cost. Here we describe a scalable, highly parallel sequencing system with raw throughput significantly greater than that of state-of-the-art capillary electrophoresis instruments. The apparatus uses a novel fibre-optic slide of individual wells and is able to sequence 25 million bases, at 99% or better accuracy, in one four-hour run. To achieve an approximately 100-fold increase in throughput over current Sanger sequencing technology, we have developed an emulsion method for DNA amplification and an instrument for sequencing by synthesis using a pyrosequencing protocol optimized for solid support and picolitre-scale volumes. Here we show the utility, throughput, accuracy and robustness of this system by shotgun sequencing and de novo assembly of the Mycoplasma genitalium genome with 96% coverage at 99.96% accuracy in one run of the machine.


Nature | 2000

A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

Peter Uetz; Loic Giot; Gerard Cagney; Traci A. Mansfield; Richard S. Judson; James Knight; Daniel Lockshon; Vaibhav Narayan; Maithreyan Srinivasan; Pascale Pochart; Alia Qureshi-Emili; Ying Li; Brian Godwin; Diana Conover; Theodore Kalbfleisch; Govindan Vijayadamodar; Meijia Yang; Mark Johnston; Stanley Fields; Jonathan M. Rothberg

Two large-scale yeast two-hybrid screens were undertaken to identify protein–protein interactions between full-length open reading frames predicted from the Saccharomyces cerevisiae genome sequence. In one approach, we constructed a protein array of about 6,000 yeast transformants, with each transformant expressing one of the open reading frames as a fusion to an activation domain. This array was screened by a simple and automated procedure for 192 yeast proteins, with positive responses identified by their positions in the array. In a second approach, we pooled cells expressing one of about 6,000 activation domain fusions to generate a library. We used a high-throughput screening procedure to screen nearly all of the 6,000 predicted yeast proteins, expressed as Gal4 DNA-binding domain fusion proteins, against the library, and characterized positives by sequence analysis. These approaches resulted in the detection of 957 putative interactions involving 1,004 S. cerevisiae proteins. These data reveal interactions that place functionally unclassified proteins in a biological context, interactions between proteins involved in the same biological function, and interactions that link biological functions together into larger cellular processes. The results of these screens are shown here.


Nature | 2008

The complete genome of an individual by massively parallel DNA sequencing.

David A. Wheeler; Maithreyan Srinivasan; Michael Egholm; Yufeng Shen; Lei Chen; Amy L. McGuire; Wen He; Yi-Ju Chen; Vinod Makhijani; G. Thomas Roth; Xavier V. Gomes; Karrie R. Tartaro; Faheem Niazi; Cynthia Turcotte; Gerard P. Irzyk; James R. Lupski; Craig Chinault; Xingzhi Song; Yue Liu; Ye Yuan; Lynne V. Nazareth; Xiang Qin; Donna M. Muzny; Marcel Margulies; George M. Weinstock; Richard A. Gibbs; Jonathan M. Rothberg

The association of genetic variation with disease and drug response, and improvements in nucleic acid technologies, have given great optimism for the impact of ‘genomic medicine’. However, the formidable size of the diploid human genome, approximately 6 gigabases, has prevented the routine application of sequencing methods to deciphering complete individual human genomes. To realize the full potential of genomics for human health, this limitation must be overcome. Here we report the DNA sequence of a diploid genome of a single individual, James D. Watson, sequenced to 7.4-fold redundancy in two months using massively parallel sequencing in picolitre-size reaction vessels. This sequence was completed in two months at approximately one-hundredth of the cost of traditional capillary electrophoresis methods. Comparison of the sequence to the reference genome led to the identification of 3.3 million single nucleotide polymorphisms, of which 10,654 cause amino-acid substitution within the coding sequence. In addition, we accurately identified small-scale (2–40,000 base pair (bp)) insertion and deletion polymorphism as well as copy number variation resulting in the large-scale gain and loss of chromosomal segments ranging from 26,000 to 1.5 million base pairs. Overall, these results agree well with recent results of sequencing of a single individual by traditional methods. However, in addition to being faster and significantly less expensive, this sequencing technology avoids the arbitrary loss of genomic sequences inherent in random shotgun sequencing by bacterial cloning because it amplifies DNA in a cell-free system. As a result, we further demonstrate the acquisition of novel human sequence, including novel genes not previously identified by traditional genomic sequencing. This is the first genome sequenced by next-generation technologies. Therefore it is a pilot for the future challenges of ‘personalized genome sequencing’.


Archive | 2004

Bead emulsion nucleic acid amplification

Jan Berka; Yi-Ju Chen; John H. Leamon; Steven Lefkowitz; Kenton Lohman; Vinod Makhijani; Jonathan M. Rothberg; Gary J. Sarkis; Maithreyan Srinivasan; Michael Weiner


Archive | 2004

Double ended sequencing

Yi-Ju Chen; John H. Leamon; Kenton Lohman; Michael T. Ronan; Jonathan M. Rothberg; Maithreyan Srinivasan; Michael Weiner


Archive | 2008

System and method for adaptive reagent control in nucleic acid sequencing

George Roth; John Nobile; Maithreyan Srinivasan; Zhoutao Chen; James Matthew Nealis; Xavier V. Gomes


Nature | 2006

Corrigendum: Genome sequencing in microfabricated high-density picolitre reactors

Marcel Margulies; Michael Egholm; William E. Altman; Said Attiya; Joel S. Bader; Lisa A. Bemben; Jan Berka; Michael S. Braverman; Yi-Ju Chen; Zhoutao Chen; Scott Dewell; Alex de Winter; J. F. Drake; Lei Du; Joseph M. Fierro; Robin Forte; Xavier V. Gomes; Brian C. Goodwin; Wen He; Scott Helgesen; Chun He Ho; Steve Hutchinson; Gerard P. Irzyk; Szilveszter C. Jando; Maria L. I. Alenquer; Thomas P. Jarvie; Kshama B. Jirage; Jong-Bum Kim; James Knight; Janna R. Lanza


The Handbook of Plant Functional Genomics: Concepts and Protocols | 2008

454 Sequencing: The Next Generation Tool for Functional Genomics

Lei Du; Jan Frederik Simons; Maithreyan Srinivasan; Thomas Jarvie; Bruce E. Taillon; Michael Egholm


Archive | 2004

Sequençage a double extremite

Yi-Ju Chen; John H. Leamon; Kenton Lohman; Michael T. Ronan; Maithreyan Srinivasan; Jonathan M. Rothberg; Michael Weiner


Archive | 2004

Nukleinsäureamplifikation auf Basis von Kügelchenemulsion Nucleic acid amplification-based emulsion globules

Jan Berka; Yi-Ju Chen; John H. Leamon; Steven Lefkowitz; Kenton Lohman; Vinod Makhijani; Jonathan M. Rothberg; Gary J. Sarkis; Maithreyan Srinivasan; Michael Weiner

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Jan Berka

Northeastern University

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