Literature DB >> 11196307

Use of SMART-generated cDNA for gene expression studies in multiple human tumors.

B Zhumabayeva1, L Diatchenko, A Chenchik, P D Siebert.   

Abstract

We demonstrate here that SMART PCR-amplified cDNAs arrayed on a nylon membrane are suitable for high-throughput tissue expression profiling when starting biological materials are limited. We show that SMART cDNA accurately reflects gene expression patterns found in total RNA by comparing the expression level of several target genes in SMART PCR-amplified cDNAs and their corresponding total RNAs. We also arrayed cDNAs from 68 matched tumor and normal samples on a nylon membrane to determine whether SMART PCR-amplified cDNA could be used for detecting differentially expressed genes in these tissues. These arrays containing normalized tumor and normal cDNAs were hybridized with probes for glutathione peroxidase and gelsolin. The hybridization results revealed cancer-related and patient-specific gene expression differences between tumor and normal tissues for these genes. These studies show that SMART PCR-amplified cDNAs maintain the complexity of the original mRNA population and are thus suitable for high-throughput studies to compare the relative abundance of target genes and to detect differentially expressed genes in a wide variety of tissues simultaneously.

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Year:  2001        PMID: 11196307     DOI: 10.2144/01301pf01

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  16 in total

1.  Expressive genomic hybridisation: gene expression profiling at the cytogenetic level.

Authors:  F Al-Mulla; M Al-Maghrebi; G Varadharaj
Journal:  Mol Pathol       Date:  2003-08

2.  RNA expression microarrays (REMs), a high-throughput method to measure differences in gene expression in diverse biological samples.

Authors:  Charles E Rogler; Tatyana Tchaikovskaya; Raquel Norel; Aldo Massimi; Christopher Plescia; Eugeny Rubashevsky; Paul Siebert; Leslie E Rogler
Journal:  Nucleic Acids Res       Date:  2004-08-25       Impact factor: 16.971

3.  Technical validation of cDNA based microarray as screening technique to identify candidate genes in synovial tissue biopsy specimens from patients with spondyloarthropathy.

Authors:  M Rihl; D Baeten; N Seta; J Gu; F De Keyser; E M Veys; J G Kuipers; H Zeidler; D T Y Yu
Journal:  Ann Rheum Dis       Date:  2004-05       Impact factor: 19.103

4.  SOCS5 and SOCS6 have similar expression patterns in normal and cancer tissues.

Authors:  Sungpil Yoon; Young-Su Yi; Sang Soo Kim; Ju-Hwa Kim; Won Sang Park; Suk Woo Nam
Journal:  Tumour Biol       Date:  2011-11-12

5.  Identification of genes preferentially expressed during wood formation in Eucalyptus.

Authors:  Etienne Paux; M'Barek Tamasloukht; Nathalie Ladouce; Pierre Sivadon; Jacqueline Grima-Pettenati
Journal:  Plant Mol Biol       Date:  2004-05       Impact factor: 4.076

6.  Combined megaplex TCR isolation and SMART-based real-time quantitation methods for quantitating antigen-specific T cell clones in mycobacterial infection.

Authors:  George Du; Liyou Qiu; Ling Shen; Probhat Sehgal; Yun Shen; Dan Huang; Norman L Letvin; Zheng W Chen
Journal:  J Immunol Methods       Date:  2005-11-15       Impact factor: 2.303

7.  Caveolin-1 is down-regulated in human ovarian carcinoma and acts as a candidate tumor suppressor gene.

Authors:  K Wiechen; L Diatchenko; A Agoulnik; K M Scharff; H Schober; K Arlt; B Zhumabayeva; P D Siebert; M Dietel; R Schäfer; C Sers
Journal:  Am J Pathol       Date:  2001-11       Impact factor: 4.307

8.  Terminal continuation (TC) RNA amplification without second strand synthesis.

Authors:  Melissa J Alldred; Shaoli Che; Stephen D Ginsberg
Journal:  J Neurosci Methods       Date:  2008-11-05       Impact factor: 2.390

9.  Accurate expression profiling of very small cell populations.

Authors:  Eva Gonzalez-Roca; Xabier Garcia-Albéniz; Silvia Rodriguez-Mulero; Roger R Gomis; Karl Kornacker; Herbert Auer
Journal:  PLoS One       Date:  2010-12-28       Impact factor: 3.240

10.  Global expression analysis of the brown alga Ectocarpus siliculosus (Phaeophyceae) reveals large-scale reprogramming of the transcriptome in response to abiotic stress.

Authors:  Simon M Dittami; Delphine Scornet; Jean-Louis Petit; Béatrice Ségurens; Corinne Da Silva; Erwan Corre; Michael Dondrup; Karl-Heinz Glatting; Rainer König; Lieven Sterck; Pierre Rouzé; Yves Van de Peer; J Mark Cock; Catherine Boyen; Thierry Tonon
Journal:  Genome Biol       Date:  2009-06-16       Impact factor: 13.583

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