Literature DB >> 18237837

Novel technologies for the discovery and quantitation of biomarkers of toxicity.

Fitz B Collings1, Vishal S Vaidya.   

Abstract

Reliable biomarkers of toxicity are necessary both for the safe conduct of pre-clinical and clinical trials, and are increasingly needed for accurate clinical evaluation of treatment regimens with the potential to cause tissue injury. Recent advances in technology have added several new tools to the biomarker screening toolkit and improved the throughput of existing quantitative assays. Genomics, proteomics, and metabolomics have provided a wealth of data in the search for predictive, specific biomarkers. Multiplexed ELISA-based assay systems, silicon nanowire arrays, and patterned paper present unique abilities for fast, efficient sample analysis over a broad dynamic range. Powerful integrative systems biology software and growing open-source data repositories offer new ways to share, reduce, and analyze data from multiple sources. Novel technologies reviewed here have the potential to significantly reduce assay time and cost and improve the sensitivity of screening methods for candidate biomarkers of toxicity.

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Year:  2007        PMID: 18237837      PMCID: PMC2311435          DOI: 10.1016/j.tox.2007.11.020

Source DB:  PubMed          Journal:  Toxicology        ISSN: 0300-483X            Impact factor:   4.221


  34 in total

Review 1.  Cutting-edge technology. I. Global gene expression profiling using DNA microarrays.

Authors:  Mayi Arcellana-Panlilio; Stephen M Robbins
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2002-03       Impact factor: 4.052

2.  High-resolution serum proteomic features for ovarian cancer detection.

Authors:  T P Conrads; V A Fusaro; S Ross; D Johann; V Rajapakse; B A Hitt; S M Steinberg; E C Kohn; D A Fishman; G Whitely; J C Barrett; L A Liotta; E F Petricoin; T D Veenstra
Journal:  Endocr Relat Cancer       Date:  2004-06       Impact factor: 5.678

Review 3.  Recent developments in methods and technology for analysis of biological samples by MALDI-TOF-MS.

Authors:  Chensong Pan; Songyun Xu; Houjiang Zhou; Yu Fu; Mingliang Ye; Hanfa Zou
Journal:  Anal Bioanal Chem       Date:  2006-11-04       Impact factor: 4.142

4.  The use of metabolomics for the discovery of new biomarkers of effect.

Authors:  B van Ravenzwaay; G Coelho-Palermo Cunha; E Leibold; R Looser; W Mellert; A Prokoudine; T Walk; J Wiemer
Journal:  Toxicol Lett       Date:  2007-05-25       Impact factor: 4.372

5.  Chemical effects in biological systems (CEBS) object model for toxicology data, SysTox-OM: design and application.

Authors:  Sandhya Xirasagar; Scott F Gustafson; Cheng-Cheng Huang; Qinyan Pan; Jennifer Fostel; Paul Boyer; B Alex Merrick; Kenneth B Tomer; Denny D Chan; Kenneth J Yost; Danielle Choi; Nianqing Xiao; Stanley Stasiewicz; Pierre Bushel; Michael D Waters
Journal:  Bioinformatics       Date:  2006-01-12       Impact factor: 6.937

6.  Kidney injury molecule-1 (KIM-1), a putative epithelial cell adhesion molecule containing a novel immunoglobulin domain, is up-regulated in renal cells after injury.

Authors:  T Ichimura; J V Bonventre; V Bailly; H Wei; C A Hession; R L Cate; M Sanicola
Journal:  J Biol Chem       Date:  1998-02-13       Impact factor: 5.157

7.  Comprehensive proteomic profiling identifies serum proteomic signatures for detection of hepatocellular carcinoma and its subtypes.

Authors:  Terence C W Poon; Tai-Tung Yip; Anthony T C Chan; Christine Yip; Victor Yip; Tony S K Mok; Conrad C Y Lee; Thomas W T Leung; Stephen K W Ho; Philip J Johnson
Journal:  Clin Chem       Date:  2003-05       Impact factor: 8.327

8.  Detection of prostate cancer using serum proteomics pattern in a histologically confirmed population.

Authors:  Jinong Li; Nicole White; Zhen Zhang; Jason Rosenzweig; Leslie A Mangold; Alan W Partin; Daniel W Chan
Journal:  J Urol       Date:  2004-05       Impact factor: 7.450

9.  Carbon nanotubes as assisted matrix for laser desorption/ionization time-of-flight mass spectrometry.

Authors:  Songyun Xu; Yongfeng Li; Hanfa Zou; Jieshan Qiu; Zhong Guo; Baochuan Guo
Journal:  Anal Chem       Date:  2003-11-15       Impact factor: 6.986

10.  PrestOMIC, an open source application for dissemination of proteomic datasets by individual laboratories.

Authors:  Charles G Howes; Leonard J Foster
Journal:  Proteome Sci       Date:  2007-06-06       Impact factor: 2.480

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  6 in total

1.  Genome-Scale Model-Based Identification of Metabolite Indicators for Early Detection of Kidney Toxicity.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Shanea K Estes; Irina Trenary; Tracy P OˈBrien; Richard L Printz; Jason A Papin; Jaques Reifman; Tatsuya Oyama; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

Review 2.  Development of blood biomarkers for drug-induced liver injury: an evaluation of their potential for risk assessment and diagnostics.

Authors:  David E Amacher; Shelli J Schomaker; Jiri Aubrecht
Journal:  Mol Diagn Ther       Date:  2013-12       Impact factor: 4.074

Review 3.  The current status of biomarkers for predicting toxicity.

Authors:  Sarah Campion; Jiri Aubrecht; Kim Boekelheide; David W Brewster; Vishal S Vaidya; Linnea Anderson; Deborah Burt; Edward Dere; Kathleen Hwang; Sara Pacheco; Janani Saikumar; Shelli Schomaker; Mark Sigman; Federico Goodsaid
Journal:  Expert Opin Drug Metab Toxicol       Date:  2013-08-21       Impact factor: 4.481

Review 4.  Biomarker discovery by novel sensors based on nanoproteomics approaches.

Authors:  Noelia Dasilva; Paula Díez; Sergio Matarraz; María González-González; Sara Paradinas; Alberto Orfao; Manuel Fuentes
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

5.  Systems Biology and Biomarkers of Early Effects for Occupational Exposure Limit Setting.

Authors:  D Gayle DeBord; Lyle Burgoon; Stephen W Edwards; Lynne T Haber; M Helen Kanitz; Eileen Kuempel; Russell S Thomas; Berran Yucesoy
Journal:  J Occup Environ Hyg       Date:  2015       Impact factor: 2.155

6.  Toxicogenomics to Evaluate Endocrine Disrupting Effects of Environmental Chemicals Using the Zebrafish Model.

Authors:  Karina Caballero-Gallardo; Jesus Olivero-Verbel; Jennifer L Freeman
Journal:  Curr Genomics       Date:  2016-12       Impact factor: 2.236

  6 in total

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