Literature DB >> 14761298

Quantitative analysis of nucleic acids--the last few years of progress.

Chunming Ding1, Charles R Cantor.   

Abstract

DNA and RNA quantifications are widely used in biological and biomedical research. In the last ten years, many technologies have been developed to enable automated and high-throughput analyses. In this review, we first give a brief overview of how DNA and RNA quantifications are carried out. Then, five technologies (microarrays, SAGE, differential display, real time PCR and real competitive PCR) are introduced, with an emphasis on how these technologies can be applied and what their limitations are. The technologies are also evaluated in terms of a few key aspects of nucleic acids quantification such as accuracy, sensitivity, specificity, cost and throughput.

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Year:  2004        PMID: 14761298     DOI: 10.5483/bmbrep.2004.37.1.001

Source DB:  PubMed          Journal:  J Biochem Mol Biol        ISSN: 1225-8687


  30 in total

Review 1.  Mass spectrometry of RNA: linking the genome to the proteome.

Authors:  Zhaojing Meng; Patrick A Limbach
Journal:  Brief Funct Genomic Proteomic       Date:  2006-02-27

Review 2.  Quantitative real-time RT-PCR data analysis: current concepts and the novel "gene expression's CT difference" formula.

Authors:  Jan H Schefe; Kerstin E Lehmann; Ivo R Buschmann; Thomas Unger; Heiko Funke-Kaiser
Journal:  J Mol Med (Berl)       Date:  2006-09-14       Impact factor: 4.599

3.  The maize root transcriptome by serial analysis of gene expression.

Authors:  V Poroyko; L G Hejlek; W G Spollen; G K Springer; H T Nguyen; R E Sharp; H J Bohnert
Journal:  Plant Physiol       Date:  2005-06-17       Impact factor: 8.340

4.  Bone marrow aspirate and biopsy: a pathologist's perspective. II. interpretation of the bone marrow aspirate and biopsy.

Authors:  Roger S Riley; David Williams; Micaela Ross; Shawn Zhao; Alden Chesney; Bradly D Clark; Jonathan M Ben-Ezra
Journal:  J Clin Lab Anal       Date:  2009       Impact factor: 2.352

5.  Gene expression analysis of wild Leishmania major isolates: identification of genes preferentially expressed in amastigotes.

Authors:  Meriem Ouakad; Mehdi Chenik; Yosser Ben Achour-Chenik; Hechmi Louzir; Koussay Dellagi
Journal:  Parasitol Res       Date:  2006-10-03       Impact factor: 2.289

6.  Combined analysis of transcriptome and proteome data as a tool for the identification of candidate biomarkers in renal cell carcinoma.

Authors:  Barbara Seliger; Sven P Dressler; Ena Wang; Roland Kellner; Christian V Recktenwald; Friedrich Lottspeich; Francesco M Marincola; Maja Baumgärtner; Derek Atkins; Rudolf Lichtenfels
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

7.  Alterations in GABA-related transcriptome in the dorsolateral prefrontal cortex of subjects with schizophrenia.

Authors:  T Hashimoto; D Arion; T Unger; J G Maldonado-Avilés; H M Morris; D W Volk; K Mirnics; D A Lewis
Journal:  Mol Psychiatry       Date:  2007-05-01       Impact factor: 15.992

8.  Reference genes for quantitative analysis on Clonorchis sinensis gene expression by real-time PCR.

Authors:  Won Gi Yoo; Tae Im Kim; Shunyu Li; Oh Sil Kwon; Pyo Yun Cho; Tong-Soo Kim; Kijeong Kim; Sung-Jong Hong
Journal:  Parasitol Res       Date:  2008-09-25       Impact factor: 2.289

Review 9.  Global expression profiling in epileptogenesis: does it add to the confusion?

Authors:  Yi Yuen Wang; Paul Smith; Michael Murphy; Mark Cook
Journal:  Brain Pathol       Date:  2009-02-24       Impact factor: 6.508

10.  High-Throughput RT-PCR for small-molecule screening assays.

Authors:  Joshua A Bittker
Journal:  Curr Protoc Chem Biol       Date:  2012-03-01
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