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

Analytical Strategies to Investigate...

Chu, Fanny.

FindBook

Google Book

Amazon

博客來

Analytical Strategies to Investigate the Hair Proteome for Human Identification.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analytical Strategies to Investigate the Hair Proteome for Human Identification./
作者:	Chu, Fanny.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	303 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-11, Section: B.
Contained By:	Dissertations Abstracts International81-11B.
標題:	Analytical chemistry. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27961568
ISBN:	9798643197966

Analytical Strategies to Investigate the Hair Proteome for Human Identification.
Chu, Fanny.

Analytical Strategies to Investigate the Hair Proteome for Human Identification. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 303 p.

Source: Dissertations Abstracts International, Volume: 81-11, Section: B.

Thesis (Ph.D.)--Michigan State University, 2020.

This item must not be sold to any third party vendors.

Analysis of genetic variation in DNA sequences serves as a powerful method for human identification owing to its exceptional discriminative power for distinguishing individuals. In cases where DNA is compromised in recovered forensic evidence, other approaches are needed to achieve a similar level of differentiative potential for human identification. Proteins offer a promising alternative, particularly in recovered hair evidence where minimal intact genomic DNA remains, as hair proteins often persist for long periods of time and their amino acid sequences derive from DNA. Detection of amino acid polymorphisms in hair proteins as genetically variant peptides (GVPs) permits inference of individualizing single nucleotide polymorphisms for identification. Expanding upon previous proof-of-concept work, this research interrogates the human hair proteome to address fundamental questions about how experimental variables affect GVP detection success rates, and to bridge the gap between laboratory-optimized studies and application of this protein-based approach in routine forensic analysis. Effects of intrinsic variation to hair protein chemistry, including differences among body locations and with increasing hair age, and external exposures, such as an explosive blast, on variant peptide marker detection are investigated using trypsin digestion and liquid chromatography-tandem mass spectrometry (LC-MS/MS). This multi-disciplinary work demonstrates success in GVP detection and advances in knowledge of protein chemistry in hair as a function of different body locations, in aged hairs, and in damaged hairs recovered after an explosive blast, providing greater confidence in GVP analysis for forensic investigations. Not limited to forensic proteomics, these findings may be applicable to the wider bioanalytical sciences, including the medical, material, and agricultural sciences.

ISBN: 9798643197966Subjects--Topical Terms:

3168300
Analytical chemistry.
Subjects--Index Terms:

Forensic proteomics

Analytical Strategies to Investigate the Hair Proteome for Human Identification.
LDR:03156nmm a2200385 4500 001 2269429
005 20200908090511.5
008 220629s2020 ||||||||||||||||| ||eng d
020 $a 9798643197966
035 $a (MiAaPQ)AAI27961568
035 $a AAI27961568
040 $a MiAaPQ $c MiAaPQ
100 1 $a Chu, Fanny. $3 3546764
245 1 0 $a Analytical Strategies to Investigate the Hair Proteome for Human Identification.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 303 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-11, Section: B.
500 $a Advisor: Jones, A. Daniel.
502 $a Thesis (Ph.D.)--Michigan State University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Analysis of genetic variation in DNA sequences serves as a powerful method for human identification owing to its exceptional discriminative power for distinguishing individuals. In cases where DNA is compromised in recovered forensic evidence, other approaches are needed to achieve a similar level of differentiative potential for human identification. Proteins offer a promising alternative, particularly in recovered hair evidence where minimal intact genomic DNA remains, as hair proteins often persist for long periods of time and their amino acid sequences derive from DNA. Detection of amino acid polymorphisms in hair proteins as genetically variant peptides (GVPs) permits inference of individualizing single nucleotide polymorphisms for identification. Expanding upon previous proof-of-concept work, this research interrogates the human hair proteome to address fundamental questions about how experimental variables affect GVP detection success rates, and to bridge the gap between laboratory-optimized studies and application of this protein-based approach in routine forensic analysis. Effects of intrinsic variation to hair protein chemistry, including differences among body locations and with increasing hair age, and external exposures, such as an explosive blast, on variant peptide marker detection are investigated using trypsin digestion and liquid chromatography-tandem mass spectrometry (LC-MS/MS). This multi-disciplinary work demonstrates success in GVP detection and advances in knowledge of protein chemistry in hair as a function of different body locations, in aged hairs, and in damaged hairs recovered after an explosive blast, providing greater confidence in GVP analysis for forensic investigations. Not limited to forensic proteomics, these findings may be applicable to the wider bioanalytical sciences, including the medical, material, and agricultural sciences.
590 $a School code: 0128.
650 4 $a Analytical chemistry. $3 3168300
650 4 $a Biochemistry. $3 518028
650 4 $a Genetics. $3 530508
653 $a Forensic proteomics
653 $a Genetically variant peptide
653 $a Hair proteome
653 $a Liquid chromatography-tandem mass Spectrometry
653 $a Protein-based human identification
653 $a Single hair
690 $a 0486
690 $a 0487
690 $a 0369
710 2 $a Michigan State University. $b Chemistry - Doctor of Philosophy. $3 2094041
773 0 $t Dissertations Abstracts International $g 81-11B.
790 $a 0128
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27961568