Updates till Fri, Apr 13, '12

Nature Publishing Group Ids	Title	Abstract	Authors	Journal	Publication Date	Product Version
naturepublishinggroup10.1038/srep00264	Transcriptomic landscape of breast cancers through mRNA sequencing	Breast cancer is a heterogeneous disease with a poorly defined genetic landscape, which poses a major challenge in diagnosis and treatment. By massively parallel mRNA sequencing, we obtained 1.2 billion reads from 17 individual human tissues belonging to TNBC, Non-TNBC, and HER2-positive breast cancers and defined their comprehensive digital transcriptome for the first time. Surprisingly, we identified a high number of novel and unannotated transcripts, revealing the global breast cancer transcriptomic adaptations. Comparative transcriptomic analyses elucidated differentially expressed transcripts between the three breast cancer groups, identifying several new modulators of breast cancer. Our study also identified common transcriptional regulatory elements, such as highly abundant primary transcripts, including osteonectin, RACK1, calnexin, calreticulin, FTL, and B2M, and ?genomic hotspots? enriched in primary transcripts between the three groups. Thus, our study opens previously unexplored niches that could enable a better understanding of the disease and the development of potential intervention strategies.	[Jeyanthy Eswaran, Dinesh Cyanam, Prakriti Mudvari, Sirigiri Divijendra Natha Reddy, Suresh B. Pakala, Sujit S. Nair, Liliana Florea, Suzanne A. W. Fuqua, Sucheta Godbole, Rakesh Kumar]	Scientific Reports	2012-02-14

Updates till Fri, Apr 13, '12

Nature Publishing Group Ids	Title	Abstract	Authors	Journal	Publication Date	Product Version
naturepublishinggroup10.1038/srep00264	Transcriptomic landscape of breast cancers through mRNA sequencing	Breast cancer is a heterogeneous disease with a poorly defined genetic landscape, which poses a major challenge in diagnosis and treatment. By massively parallel mRNA sequencing, we obtained 1.2 billion reads from 17 individual human tissues belonging to TNBC, Non-TNBC, and HER2-positive breast cancers and defined their comprehensive digital transcriptome for the first time. Surprisingly, we identified a high number of novel and unannotated transcripts, revealing the global breast cancer transcriptomic adaptations. Comparative transcriptomic analyses elucidated differentially expressed transcripts between the three breast cancer groups, identifying several new modulators of breast cancer. Our study also identified common transcriptional regulatory elements, such as highly abundant primary transcripts, including osteonectin, RACK1, calnexin, calreticulin, FTL, and B2M, and ?genomic hotspots? enriched in primary transcripts between the three groups. Thus, our study opens previously unexplored niches that could enable a better understanding of the disease and the development of potential intervention strategies.	[Jeyanthy Eswaran, Dinesh Cyanam, Prakriti Mudvari, Sirigiri Divijendra Natha Reddy, Suresh B. Pakala, Sujit S. Nair, Liliana Florea, Suzanne A. W. Fuqua, Sucheta Godbole, Rakesh Kumar]	Scientific Reports	2012-02-14