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Transcriptional analysis of B-cells ...

Rochester Institute of Technology., Bioinformatics.

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Transcriptional analysis of B-cells post flu vaccination using RNA sequencing.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Transcriptional analysis of B-cells post flu vaccination using RNA sequencing./
Author:	Manivannan, Manimozhi.
Description:	50 p.
Notes:	Source: Masters Abstracts International, Volume: 51-05.
Contained By:	Masters Abstracts International51-05(E).
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1535396
ISBN:	9781303005329

Transcriptional analysis of B-cells post flu vaccination using RNA sequencing.
Manivannan, Manimozhi.

Transcriptional analysis of B-cells post flu vaccination using RNA sequencing. - 50 p.

Source: Masters Abstracts International, Volume: 51-05.

Thesis (M.S.)--Rochester Institute of Technology, 2013.

RNA-Seq (Nagalakshmi, et al., 2008; Mortazavi, et al., 2008), also known as Whole transcriptome sequencing investigates the RNA content from a sample through high throughput sequencing of cDNA. This exciting technology has important applications such as the improvement of existing genome annotations, discovery of novel genes and transcripts (Roberts, et al., 2011), revealing alternative splicing events and measuring the differential expression of genes across samples. This study examines the transcriptional responses of B-cells to the influenza vaccine using RNA-Seq. Five subjects received the flu vaccine. RNA was extracted at 11 different time points and sequenced using RNA-Seq. The RNA-Seq data was aligned to the reference genome using Tophat. The aligned reads were assembled into transcripts and the differential expression of the transcripts was measured across the samples using Cufflinks. The resultant data was analyzed by a downstream analysis algorithm to only select for "novel" genes that correlate with well-annotated genes known to be important in immunity. This analysis led to the selection of two "novel" genes that are most likely to be of interest for further functional characterization.

ISBN: 9781303005329Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Transcriptional analysis of B-cells post flu vaccination using RNA sequencing.
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100 1 $a Manivannan, Manimozhi. $3 2099842
245 1 0 $a Transcriptional analysis of B-cells post flu vaccination using RNA sequencing.
300 $a 50 p.
500 $a Source: Masters Abstracts International, Volume: 51-05.
500 $a Adviser: Gary R. Skuse.
502 $a Thesis (M.S.)--Rochester Institute of Technology, 2013.
520 $a RNA-Seq (Nagalakshmi, et al., 2008; Mortazavi, et al., 2008), also known as Whole transcriptome sequencing investigates the RNA content from a sample through high throughput sequencing of cDNA. This exciting technology has important applications such as the improvement of existing genome annotations, discovery of novel genes and transcripts (Roberts, et al., 2011), revealing alternative splicing events and measuring the differential expression of genes across samples. This study examines the transcriptional responses of B-cells to the influenza vaccine using RNA-Seq. Five subjects received the flu vaccine. RNA was extracted at 11 different time points and sequenced using RNA-Seq. The RNA-Seq data was aligned to the reference genome using Tophat. The aligned reads were assembled into transcripts and the differential expression of the transcripts was measured across the samples using Cufflinks. The resultant data was analyzed by a downstream analysis algorithm to only select for "novel" genes that correlate with well-annotated genes known to be important in immunity. This analysis led to the selection of two "novel" genes that are most likely to be of interest for further functional characterization.
590 $a School code: 0465.
650 4 $a Biology, Bioinformatics. $3 1018415
690 $a 0715
710 2 $a Rochester Institute of Technology. $b Bioinformatics. $3 1682340
773 0 $t Masters Abstracts International $g 51-05(E).
790 $a 0465
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792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1535396