|
|
|
|
| LEADER |
00000cam a2200000Mi 4500 |
| 001 |
ocn437171317 |
| 003 |
OCoLC |
| 005 |
20241006213017.0 |
| 006 |
m o d |
| 007 |
cr mn|---||||| |
| 008 |
090817s2002 ne o 000 0 eng d |
| 040 |
|
|
|a MERUC
|b eng
|e pn
|c MERUC
|d YDXCP
|d OCLCQ
|d EBLCP
|d OCLCQ
|d ZCU
|d MERUC
|d S8J
|d OCLCO
|d OCLCF
|d OCLCQ
|d ICG
|d OCLCQ
|d DKC
|d OCLCO
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|
| 019 |
|
|
|a 191037952
|
| 020 |
|
|
|a 9781601294302
|q (electronic bk.)
|
| 020 |
|
|
|a 1601294301
|q (electronic bk.)
|
| 035 |
|
|
|a (OCoLC)437171317
|z (OCoLC)191037952
|
| 050 |
|
4 |
|a QP551 .G56 2001eb
|
| 049 |
|
|
|a HCDD
|
| 100 |
1 |
|
|a Hanash, S.
|
| 245 |
1 |
0 |
|a Global Strategies for Disease Detection and Treatment :
|b Proteomics.
|
| 260 |
|
|
|a Amsterdam :
|b IOS Press,
|c 2002.
|
| 300 |
|
|
|a 1 online resource (115 pages)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 505 |
0 |
|
|a Cover; Foreword: Global Strategies for Disease Detection and Treatment: Proteomics; Proteome analysis -- A novel approach to understand the pathogenesis of Type 1 diabetes mellitus; Proteomic-based approach for the identification of tumor markers associated with hepatocellular carcinoma; The application of protein microarrays to serum diagnostics: Prostate cancer as a test case; Protein expression analysis: From 'tip of the iceberg' to a global method; Analysis of the proteomic profiling of brain tissue in Alzheimer's disease; Proteomics and the inner ear.
|
| 505 |
8 |
|
|a Proteomics as the tool to search for lung disease markers in bronchoalveolar lavagePseudomonas aeruginosa and a proteomic approach to bacterial pathogenesis; A proteomic approach to the identification of lung cancer markers; Proteomic patterns of nipple aspirate fluids obtained by SELDI-TOF: Potential for new biomarkers to aid in the diagnosis of breast cancer; Author Index Volume 17 (2001); Keyword Index Volume 17 (2001).
|
| 520 |
|
|
|a The field of proteomics holds great promise for identifying non-targeted, global molecular profiles "signatures" of normal and diseased cells. This work shows that strategies based on the separate analysis of subcellular compartments provide the means to determine protein location in a cell.
|
| 588 |
0 |
|
|a Print version record.
|
| 650 |
|
0 |
|a Proteomics.
|
| 650 |
|
0 |
|a Proteins
|x Structure.
|
| 650 |
|
0 |
|a Protein binding.
|
| 650 |
|
0 |
|a Gene expression.
|
| 650 |
|
0 |
|a DNA microarrays.
|
| 650 |
|
0 |
|a Post-translational modification.
|
| 650 |
|
7 |
|a DNA microarrays
|2 fast
|
| 650 |
|
7 |
|a Gene expression
|2 fast
|
| 650 |
|
7 |
|a Post-translational modification
|2 fast
|
| 650 |
|
7 |
|a Protein binding
|2 fast
|
| 650 |
|
7 |
|a Proteins
|x Structure
|2 fast
|
| 650 |
|
7 |
|a Proteomics
|2 fast
|
| 776 |
1 |
|
|z 9781586032494
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=267500
|y Click for online access
|
| 903 |
|
|
|a EBC-AC
|
| 994 |
|
|
|a 92
|b HCD
|