Literature DB >> 17600117

A perspective on DNA microarrays in pathology research and practice.

Jonathan R Pollack1.   

Abstract

DNA microarray technology matured in the mid-1990s, and the past decade has witnessed a tremendous growth in its application. DNA microarrays have provided powerful tools for pathology researchers seeking to describe, classify, and understand human disease. There has also been great expectation that the technology would advance the practice of pathology. This review highlights some of the key contributions of DNA microarrays to experimental pathology, focusing in the area of cancer research. Also discussed are some of the current challenges in translating utility to clinical practice.

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Year:  2007        PMID: 17600117      PMCID: PMC1934527          DOI: 10.2353/ajpath.2007.070342

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  101 in total

1.  Expression of a single gene, BCL-6, strongly predicts survival in patients with diffuse large B-cell lymphoma.

Authors:  I S Lossos; C D Jones; R Warnke; Y Natkunam; H Kaizer; J L Zehnder; R Tibshirani; R Levy
Journal:  Blood       Date:  2001-08-15       Impact factor: 22.113

2.  Multiplexed biochemical assays with biological chips.

Authors:  S P Fodor; R P Rava; X C Huang; A C Pease; C P Holmes; C L Adams
Journal:  Nature       Date:  1993-08-05       Impact factor: 49.962

3.  Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances.

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Journal:  Genes Chromosomes Cancer       Date:  1997-12       Impact factor: 5.006

4.  Large-scale identification, mapping, and genotyping of single-nucleotide polymorphisms in the human genome.

Authors:  D G Wang; J B Fan; C J Siao; A Berno; P Young; R Sapolsky; G Ghandour; N Perkins; E Winchester; J Spencer; L Kruglyak; L Stein; L Hsie; T Topaloglou; E Hubbell; E Robinson; M Mittmann; M S Morris; N Shen; D Kilburn; J Rioux; C Nusbaum; S Rozen; T J Hudson; R Lipshutz; M Chee; E S Lander
Journal:  Science       Date:  1998-05-15       Impact factor: 47.728

5.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

6.  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

Review 7.  Metastases of unknown primary site.

Authors:  B C Lembersky; L C Thomas
Journal:  Med Clin North Am       Date:  1996-01       Impact factor: 5.456

8.  High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays.

Authors:  D Pinkel; R Segraves; D Sudar; S Clark; I Poole; D Kowbel; C Collins; W L Kuo; C Chen; Y Zhai; S H Dairkee; B M Ljung; J W Gray; D G Albertson
Journal:  Nat Genet       Date:  1998-10       Impact factor: 38.330

9.  Expression monitoring by hybridization to high-density oligonucleotide arrays.

Authors:  D J Lockhart; H Dong; M C Byrne; M T Follettie; M V Gallo; M S Chee; M Mittmann; C Wang; M Kobayashi; H Horton; E L Brown
Journal:  Nat Biotechnol       Date:  1996-12       Impact factor: 54.908

10.  Tissue microarrays for high-throughput molecular profiling of tumor specimens.

Authors:  J Kononen; L Bubendorf; A Kallioniemi; M Bärlund; P Schraml; S Leighton; J Torhorst; M J Mihatsch; G Sauter; O P Kallioniemi
Journal:  Nat Med       Date:  1998-07       Impact factor: 53.440

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  19 in total

1.  An empirical Bayesian approach for identifying differential coexpression in high-throughput experiments.

Authors:  John A Dawson; Christina Kendziorski
Journal:  Biometrics       Date:  2011-10-17       Impact factor: 2.571

2.  Development of a malignancy-associated proteomic signature for diffuse large B-cell lymphoma.

Authors:  Paul B Romesser; David H Perlman; Douglas V Faller; Catherine E Costello; Mark E McComb; Gerald V Denis
Journal:  Am J Pathol       Date:  2009-06-04       Impact factor: 4.307

3.  R/EBcoexpress: an empirical Bayesian framework for discovering differential co-expression.

Authors:  John A Dawson; Shuyun Ye; Christina Kendziorski
Journal:  Bioinformatics       Date:  2012-05-16       Impact factor: 6.937

Review 4.  Diagnostic microarrays in hematologic oncology: applications of high- and low-density arrays.

Authors:  Tatyana V Nasedkina; Natalia A Guseva; Olga A Gra; Olga N Mityaeva; Alexander V Chudinov; Alexander S Zasedatelev
Journal:  Mol Diagn Ther       Date:  2009       Impact factor: 4.074

5.  Fluorescence signal amplification on the gel biochips with a mirror surface and optimization of immunoassay procedure.

Authors:  Zh I Zubtsova; M A Filippova; E N Savvateeva; D A Zubtsov; V R Chechetkin; V Grishin; A S Zasedatelev; A Yu Rubina
Journal:  Dokl Biochem Biophys       Date:  2009 Jul-Aug       Impact factor: 0.788

6.  Quantitative analysis of p53 expression in human normal and cancer tissue microarray with global normalization method.

Authors:  Halliday A Idikio
Journal:  Int J Clin Exp Pathol       Date:  2011-06-15

7.  Biologic Evaluation of Diabetes and Local Recurrence in Non-Small Cell Lung Cancer.

Authors:  Xuebin Yang; Yongjun Liu; Haresh Mani; Jeffrey Olson; Gary Clawson; Carla Caruso; Richard Bruggeman; John M Varlotto; Dani S Zander; Negar Rassaei
Journal:  Pathol Oncol Res       Date:  2016-07-13       Impact factor: 3.201

8.  TRAIL pathway is associated with inhibition of colon cancer by protopanaxadiol.

Authors:  Zhiyu Zhang; Zejuan Li; Xiaohui Wu; Chun-Feng Zhang; Tyler Calway; Tong-Chuan He; Wei Du; Jianjun Chen; Chong-Zhi Wang; Chun-Su Yuan
Journal:  J Pharmacol Sci       Date:  2014-11-18       Impact factor: 3.337

Review 9.  Recurrence after surgery in patients with NSCLC.

Authors:  Hidetaka Uramoto; Fumihiro Tanaka
Journal:  Transl Lung Cancer Res       Date:  2014-08

Review 10.  A decade of genome-wide gene expression profiling in acute myeloid leukemia: flashback and prospects.

Authors:  Bas J Wouters; Bob Löwenberg; Ruud Delwel
Journal:  Blood       Date:  2008-08-14       Impact factor: 22.113

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