Literature DB >> 18764911

The proteogenomic path towards biomarker discovery.

Tara K Sigdel1, Minnie M Sarwal.   

Abstract

The desire for biomarkers for diagnosis and prognosis of diseases has never been greater. With the availability of genome data and an increased availability of proteome data, the discovery of biomarkers has become increasingly feasible. However, the task is daunting and requires collaborations among researchers working in the fields of transplantation, immunology, genetics, molecular biology, biostatistics and bioinformatics. With the advancement of high throughput omic techniques such as genomics and proteomics (collectively known as proteogenomics), efforts have been made to develop diagnostic tools from new and to-be discovered biomarkers. Yet biomarker validation, particularly in organ transplantation, remains challenging because of the lack of a true gold standard for diagnostic categories and analytical bottlenecks that face high-throughput data deconvolution. Even though microarray technique is relatively mature, proteomics is still growing with regards to data normalization and analysis methods. Study design, sample selection and rigorous data analysis are the critical issues for biomarker discovery using high-throughput proteogenomic technologies that combine the use and strengths of both genomics and proteomics. In this review, we look into the current status and latest developments in the field of biomarker discovery using genomics and proteomics related to organ transplantation, with an emphasis on the evolution of proteomic technologies.

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Year:  2008        PMID: 18764911      PMCID: PMC2574627          DOI: 10.1111/j.1399-3046.2008.01018.x

Source DB:  PubMed          Journal:  Pediatr Transplant        ISSN: 1397-3142


  73 in total

1.  Proteomic analysis of ischemia-reperfusion injury upon human liver transplantation reveals the protective role of IQGAP1.

Authors:  Anouk Emadali; Béatrice Muscatelli-Groux; Frédéric Delom; Sarah Jenna; Daniel Boismenu; David B Sacks; Peter P Metrakos; Eric Chevet
Journal:  Mol Cell Proteomics       Date:  2006-04-18       Impact factor: 5.911

2.  Proteomic-based discovery and characterization of glycosylated eosinophil-derived neurotoxin and COOH-terminal osteopontin fragments for ovarian cancer in urine.

Authors:  Bin Ye; Steven Skates; Samuel C Mok; Nora K Horick; Helene F Rosenberg; Allison Vitonis; Dale Edwards; Patrick Sluss; Won K Han; Ross S Berkowitz; Daniel W Cramer
Journal:  Clin Cancer Res       Date:  2006-01-15       Impact factor: 12.531

3.  Prediction of urinary protein markers in lupus nephritis.

Authors:  Jim C Oates; Sanju Varghese; Alison M Bland; Timothy P Taylor; Sally E Self; Romesh Stanislaus; Jonas S Almeida; John M Arthur
Journal:  Kidney Int       Date:  2005-12       Impact factor: 10.612

4.  A serum proteomic pattern for the detection of colorectal adenocarcinoma using surface enhanced laser desorption and ionization mass spectrometry.

Authors:  Xing-Pan Liu; Jing Shen; Zhen-Fu Li; Li Yan; Jin Gu
Journal:  Cancer Invest       Date:  2006-12       Impact factor: 2.176

5.  Investigating the biomarker potential of glycoproteins using comparative glycoprofiling - application to tissue inhibitor of metalloproteinases-1.

Authors:  Morten Thaysen-Andersen; Ida B Thøgersen; Ulrik Lademann; Hanne Offenberg; Anders M B Giessing; Jan J Enghild; Hans Jørgen Nielsen; Nils Brünner; Peter Højrup
Journal:  Biochim Biophys Acta       Date:  2007-12-28

6.  The use of a quantitative cysteinyl-peptide enrichment technology for high-throughput quantitative proteomics.

Authors:  Tao Liu; Wei-Jun Qian; David G Camp; Richard D Smith
Journal:  Methods Mol Biol       Date:  2007

7.  Predicting the clinical outcome of congenital unilateral ureteropelvic junction obstruction in newborn by urinary proteome analysis.

Authors:  Stephane Decramer; Stefan Wittke; Harald Mischak; Petra Zürbig; Michael Walden; François Bouissou; Jean-Loup Bascands; Joost P Schanstra
Journal:  Nat Med       Date:  2006-03-19       Impact factor: 53.440

Review 8.  [Arterial hypertension in renal transplant recipients].

Authors:  Nikolina Basić-Jukić; Ivana Jurić; Petar Kes; Ljubica Bubić-Filipi; Bruna Brunetta; Josip Pasini
Journal:  Acta Med Croatica       Date:  2007-04

9.  Novel breast cancer biomarkers identified by integrative proteomic and gene expression mapping.

Authors:  Keli Ou; Kun Yu; Djohan Kesuma; Michelle Hooi; Ning Huang; Wei Chen; Suet Ying Lee; Xin Pei Goh; Lay Keng Tan; Jia Liu; Sou Yen Soon; Suhaimi Bin Abdul Rashid; Thomas C Putti; Hiroyuki Jikuya; Tetsuo Ichikawa; Osamu Nishimura; Manuel Salto-Tellez; Patrick Tan
Journal:  J Proteome Res       Date:  2008-03-05       Impact factor: 4.466

10.  A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets.

Authors:  Carmen Lai; Marcel J T Reinders; Laura J van't Veer; Lodewyk F A Wessels
Journal:  BMC Bioinformatics       Date:  2006-05-02       Impact factor: 3.169

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  24 in total

1.  Mining the human urine proteome for monitoring renal transplant injury.

Authors:  Tara K Sigdel; Yuqian Gao; Jintang He; Anyou Wang; Carrie D Nicora; Thomas L Fillmore; Tujin Shi; Bobbie-Jo Webb-Robertson; Richard D Smith; Wei-Jun Qian; Oscar Salvatierra; David G Camp; Minnie M Sarwal
Journal:  Kidney Int       Date:  2016-03-04       Impact factor: 10.612

2.  High-dose immunosuppressant alters the immunological status of New Zealand white rabbits following skin transplantation.

Authors:  Peilun Cheng; Liming Zhong; Zesheng Jiang; Yan Wang; Mingxin Pan; Y I Gao
Journal:  Exp Ther Med       Date:  2015-07-01       Impact factor: 2.447

3.  Applications of translational bioinformatics in transplantation.

Authors:  P Khatri; M M Sarwal; A J Butte
Journal:  Clin Pharmacol Ther       Date:  2011-06-29       Impact factor: 6.875

Review 4.  Recent advances in biomarker discovery in solid organ transplant by proteomics.

Authors:  Tara K Sigdel; Minnie M Sarwal
Journal:  Expert Rev Proteomics       Date:  2011-12       Impact factor: 3.940

5.  Proteomic characterization of Her2/neu-overexpressing breast cancer cells.

Authors:  Hexin Chen; Genaro Pimienta; Yiben Gu; Xu Sun; Jianjun Hu; Min-Sik Kim; Raghothama Chaerkady; Marjan Gucek; Robert N Cole; Saraswati Sukumar; Akhilesh Pandey
Journal:  Proteomics       Date:  2010-11       Impact factor: 3.984

Review 6.  Searching for the noninvasive biomarker holy grail: are urine proteomics the answer?

Authors:  Joachim Voss; Young Ah Goo; Kevin Cain; Nancy Woods; Monica Jarrett; Lynne Smith; Robert Shulman; Margaret Heitkemper
Journal:  Biol Res Nurs       Date:  2011-05-17       Impact factor: 2.522

7.  Identifying biomarkers as diagnostic tools in kidney transplantation.

Authors:  Valeria R Mas; Thomas F Mueller; Kellie J Archer; Daniel G Maluf
Journal:  Expert Rev Mol Diagn       Date:  2011-03       Impact factor: 5.225

Review 8.  Profiling the proteome in renal transplantation.

Authors:  Tara K Sigdel; Sangho Lee; Minnie M Sarwal
Journal:  Proteomics Clin Appl       Date:  2011-04-26       Impact factor: 3.494

9.  Differentially expressed RNA from public microarray data identifies serum protein biomarkers for cross-organ transplant rejection and other conditions.

Authors:  Rong Chen; Tara K Sigdel; Li Li; Neeraja Kambham; Joel T Dudley; Szu-Chuan Hsieh; R Bryan Klassen; Amery Chen; Tuyen Caohuu; Alexander A Morgan; Hannah A Valantine; Kiran K Khush; Minnie M Sarwal; Atul J Butte
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

Review 10.  Deconvoluting the 'omics' for organ transplantation.

Authors:  Minnie M Sarwal
Journal:  Curr Opin Organ Transplant       Date:  2009-10       Impact factor: 2.640

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