Literature DB >> 14615629

Postgenomics: Proteomics and Bioinformatics in Cancer Research.

Halima Bensmail, Abdelali Haoudi.   

Abstract

Now that the human genome is completed, the characterization of the proteins encoded by the sequence remains a challenging task. The study of the complete protein complement of the genome, the "proteome," referred to as proteomics, will be essential if new therapeutic drugs and new disease biomarkers for early diagnosis are to be developed. Research efforts are already underway to develop the technology necessary to compare the specific protein profiles of diseased versus nondiseased states. These technologies provide a wealth of information and rapidly generate large quantities of data. Processing the large amounts of data will lead to useful predictive mathematical descriptions of biological systems which will permit rapid identification of novel therapeutic targets and identification of metabolic disorders. Here, we present an overview of the current status and future research approaches in defining the cancer cell's proteome in combination with different bioinformatics and computational biology tools toward a better understanding of health and disease.

Entities:  

Year:  2003        PMID: 14615629      PMCID: PMC514267          DOI: 10.1155/S1110724303209207

Source DB:  PubMed          Journal:  J Biomed Biotechnol        ISSN: 1110-7243


  67 in total

Review 1.  Artificial neural networks in laboratory medicine and medical outcome prediction.

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Journal:  Clin Chem Lab Med       Date:  1999-09       Impact factor: 3.694

2.  Modeling gene expression with differential equations.

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Journal:  Pac Symp Biocomput       Date:  1999

3.  Imaging mass spectrometry: a new technology for the analysis of protein expression in mammalian tissues.

Authors:  M Stoeckli; P Chaurand; D E Hallahan; R M Caprioli
Journal:  Nat Med       Date:  2001-04       Impact factor: 53.440

4.  Analysis of codon usage diversity of bacterial genes with a self-organizing map (SOM): characterization of horizontally transferred genes with emphasis on the E. coli O157 genome.

Authors:  S Kanaya; M Kinouchi; T Abe; Y Kudo; Y Yamada; T Nishi; H Mori; T Ikemura
Journal:  Gene       Date:  2001-10-03       Impact factor: 3.688

5.  Inference of a genetic network by a combined approach of cluster analysis and graphical Gaussian modeling.

Authors:  Hiroyuki Toh; Katsuhisa Horimoto
Journal:  Bioinformatics       Date:  2002-02       Impact factor: 6.937

6.  Genome sequence of enterohaemorrhagic Escherichia coli O157:H7.

Authors:  N T Perna; G Plunkett; V Burland; B Mau; J D Glasner; D J Rose; G F Mayhew; P S Evans; J Gregor; H A Kirkpatrick; G Pósfai; J Hackett; S Klink; A Boutin; Y Shao; L Miller; E J Grotbeck; N W Davis; A Lim; E T Dimalanta; K D Potamousis; J Apodaca; T S Anantharaman; J Lin; G Yen; D C Schwartz; R A Welch; F R Blattner
Journal:  Nature       Date:  2001-01-25       Impact factor: 49.962

7.  High frequency of hypermethylation at the 14-3-3 sigma locus leads to gene silencing in breast cancer.

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-23       Impact factor: 11.205

8.  Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer.

Authors:  Jinong Li; Zhen Zhang; Jason Rosenzweig; Young Y Wang; Daniel W Chan
Journal:  Clin Chem       Date:  2002-08       Impact factor: 8.327

9.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

10.  CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles.

Authors:  Leif E Peterson
Journal:  Genome Biol       Date:  2002-06-24       Impact factor: 13.583

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  12 in total

1.  Microfluidic electrochemical immunoarray for ultrasensitive detection of two cancer biomarker proteins in serum.

Authors:  Bhaskara V Chikkaveeraiah; Vigneshwaran Mani; Vyomesh Patel; J Silvio Gutkind; James F Rusling
Journal:  Biosens Bioelectron       Date:  2011-05-11       Impact factor: 10.618

Review 2.  Measurement of biomarker proteins for point-of-care early detection and monitoring of cancer.

Authors:  James F Rusling; Challa V Kumar; J Silvio Gutkind; Vyomesh Patel
Journal:  Analyst       Date:  2010-07-08       Impact factor: 4.616

Review 3.  Multiplexed Immunosensors and Immunoarrays.

Authors:  Abby Jones; Lasangi Dhanapala; Rumasha N T Kankanamage; Challa V Kumar; James F Rusling
Journal:  Anal Chem       Date:  2019-12-02       Impact factor: 6.986

4.  Electrochemiluminescent arrays for cytochrome P450-activated genotoxicity screening. DNA damage from benzo[a]pyrene metabolites.

Authors:  Eli G Hvastkovs; Minjeong So; Sadagopan Krishnan; Besnik Bajrami; Maricar Tarun; Ingela Jansson; John B Schenkman; James F Rusling
Journal:  Anal Chem       Date:  2007-01-30       Impact factor: 6.986

5.  Single-wall carbon nanotube forest arrays for immunoelectrochemical measurement of four protein biomarkers for prostate cancer.

Authors:  Bhaskara V Chikkaveeraiah; Ashwin Bhirde; Ruchika Malhotra; Vyomesh Patel; J Silvio Gutkind; James F Rusling
Journal:  Anal Chem       Date:  2009-11-01       Impact factor: 6.986

6.  Designing nanomaterial-enhanced electrochemical immunosensors for cancer biomarker proteins.

Authors:  James F Rusling; Gregory Sotzing; Fotios Papadimitrakopoulosa
Journal:  Bioelectrochemistry       Date:  2009-04-05       Impact factor: 5.373

7.  Novel possibilities in the study of the salivary proteomic profile using SELDI-TOF/MS technology.

Authors:  Fatima Ardito; Donatella Perrone; Roberto Cocchi; Lucio Lo Russo; Alfredo DE Lillo; Giovanni Giannatempo; Lorenzo Lo Muzio
Journal:  Oncol Lett       Date:  2016-02-09       Impact factor: 2.967

8.  Prediction of the outcome of preoperative chemotherapy in breast cancer using DNA probes that provide information on both complete and incomplete responses.

Authors:  René Natowicz; Roberto Incitti; Euler Guimarães Horta; Benoît Charles; Philippe Guinot; Kai Yan; Charles Coutant; Fabrice Andre; Lajos Pusztai; Roman Rouzier
Journal:  BMC Bioinformatics       Date:  2008-03-15       Impact factor: 3.169

Review 9.  Electrochemical immunosensors for detection of cancer protein biomarkers.

Authors:  Bhaskara V Chikkaveeraiah; Ashwinkumar A Bhirde; Nicole Y Morgan; Henry S Eden; Xiaoyuan Chen
Journal:  ACS Nano       Date:  2012-08-06       Impact factor: 15.881

10.  Functional clustering algorithm for high-dimensional proteomics data.

Authors:  Halima Bensmail; Buddana Aruna; O John Semmes; Abdelali Haoudi
Journal:  J Biomed Biotechnol       Date:  2005-06-30
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