東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computational tools for peptide quan...

Harvard University.

FindBook

Google Book

Amazon

博客來

Computational tools for peptide quantification using mass spectrometry and their application to the proteome of Prochlorococcus marinus MED4.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational tools for peptide quantification using mass spectrometry and their application to the proteome of Prochlorococcus marinus MED4./
作者:	Leptos, Kyriacos C.
面頁冊數:	212 p.
附註:	Adviser: George M. Church.
Contained By:	Dissertation Abstracts International68-05B.
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3265019
ISBN:	9780549042815

Computational tools for peptide quantification using mass spectrometry and their application to the proteome of Prochlorococcus marinus MED4.
Leptos, Kyriacos C.

Computational tools for peptide quantification using mass spectrometry and their application to the proteome of Prochlorococcus marinus MED4. - 212 p.

Adviser: George M. Church.

Thesis (Ph.D.)--Harvard University, 2007.

We have developed experimental and computational tools for label-free peptide quantification using liquid chromatography coupled to mass spectrometry (LC/MS), applying these methods to the proteome of the cyanobacterium Prochlorococcus marinus MED4 under phosphate starvation.

ISBN: 9780549042815Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Computational tools for peptide quantification using mass spectrometry and their application to the proteome of Prochlorococcus marinus MED4.
LDR:03711nam 2200313 a 45 001 946050
005 20110523
008 110523s2007 ||||||||||||||||| ||eng d
020 $a 9780549042815
035 $a (UMI)AAI3265019
035 $a AAI3265019
040 $a UMI $c UMI
100 1 $a Leptos, Kyriacos C. $3 1269460
245 1 0 $a Computational tools for peptide quantification using mass spectrometry and their application to the proteome of Prochlorococcus marinus MED4.
300 $a 212 p.
500 $a Adviser: George M. Church.
500 $a Source: Dissertation Abstracts International, Volume: 68-05, Section: B, page: 2741.
502 $a Thesis (Ph.D.)--Harvard University, 2007.
520 $a We have developed experimental and computational tools for label-free peptide quantification using liquid chromatography coupled to mass spectrometry (LC/MS), applying these methods to the proteome of the cyanobacterium Prochlorococcus marinus MED4 under phosphate starvation.
520 $a In Chapter 2, we describe an open-source software package, MapQuant, which permits the comprehensive, rigorous quantification of peptides present in a proteomic sample. MapQuant treats an LC/MS experiment as a 2-D image, one axis representing retention time (rt) and the other m/z units. It thereby permits the use of standard image processing techniques to perform noise filtering, watershed segmentation, peak finding, peak fitting, peak clustering, charge-state determination, and carbon-content estimation. MapQuant reports abundances that respond linearly with the amount of sample analyzed on both low- and high-resolution instruments, over a thousand-fold dynamic range. Added background noise, either as a medium-complexity peptide mixture or as a high-complexity trypsinized proteome, exerts negligible effects on these abundances.
520 $a In Chapter 3, we introduce a new XML file format for the representation and storage of raw LCIMS data, rawXML. Three novel concepts are featured in this new data format which improve storage space and random access time: an m/z ruler, zero compression, and a data-separate scan header at the beginning of the file. We show that rawXML file sizes can be as much as three times smaller than the corresponding file sizes generated using the current community standard mzXML.
520 $a In Chapter 4, we employ MapQuant in the first label-free quantitative proteomics experiment conducted in parallel with whole-genome mRNA expression analysis, for the study of the cyanobacterium Prochlorococcus marinus MED4 under a time course of phosphate starvation conditions. We introduce quality metrics for the analysis of highthroughput LC/MS data, and show that such data are suited for reliable label-free quantitative proteomics. Second, we describe a straightforward accurate mass/time tag approach for augmenting peptide sequence identification coverage of MapQuant isotopic clusters. We observe &sim;60% of the theoretical proteome (> 900 proteins) over the entire time course. At the 48 h time point, 52 proteins are significantly differentially expressed, 8 of which were also observed to be up-regulated at the mRNA level with a comparable fold-increase. These 8 proteins include most of the proteins involved in the phosphate transport and signaling pathways. We discuss these findings with respect to phosphate storage mechanisms and possible proteolytic regulation in MED4 in response to phosphate starvation.
590 $a School code: 0084.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Chemistry, Analytical. $3 586156
690 $a 0486
690 $a 0715
710 2 $a Harvard University. $3 528741
773 0 $t Dissertation Abstracts International $g 68-05B.
790 $a 0084
790 1 0 $a Church, George M., $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3265019