Literature DB >> 10949583

Current applications of single-cell PCR.

S Hahn1, X Y Zhong, C Troeger, R Burgemeister, K Gloning, W Holzgreve.   

Abstract

The advent of the polymerase chain reaction (PCR) has revolutionised the way in which molecular biologists view their task at hand, for it is now possible to amplify and examine minute quantities of rare genetic material: the limit of this exploration being the single cell. It is especially in the field of prenatal diagnostics that this ability has been readily seized upon, as it has opened up the prospect of preimplantation genetic analysis and the use of fetal cells enriched from the blood of pregnant women for the assessment of single-gene Mendelian disorders. However, apart from diagnostic applications, single-cell PCR has proven to be of enormous use to basic scientists, addressing diverse immunological, neurological and developmental questions, where both the genome but also messenger RNA expression patterns were examined. Furthermore, recent advances, such as optimised whole genome amplification (WGA) procedures, single-cell complementary DNA arrays and perhaps even single-cell comparative genomic hybridisation will ensure that the genetic analysis of single cells will become common practice, thereby opening up new possibilities for diagnosis and research.

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Year:  2000        PMID: 10949583     DOI: 10.1007/s000180050501

Source DB:  PubMed          Journal:  Cell Mol Life Sci        ISSN: 1420-682X            Impact factor:   9.261


  9 in total

1.  Enrichment, immunomorphological, and genetic characterization of fetal cells circulating in maternal blood.

Authors:  Giovanna Vona; Christophe Béroud; Alexandra Benachi; Alice Quenette; Jean Paul Bonnefont; Serge Romana; Yves Dumez; Bernard Lacour; Patrizia Paterlini-Bréchot
Journal:  Am J Pathol       Date:  2002-01       Impact factor: 4.307

2.  Persistent p53 mutations in single cells from normal human skin.

Authors:  G Ling; A Persson; B Berne; M Uhlén; J Lundeberg; F Ponten
Journal:  Am J Pathol       Date:  2001-10       Impact factor: 4.307

3.  Diversity of phytoplankton nitrate transporter sequences from isolated single cells and mixed samples from the East China Sea and mRNA quantification.

Authors:  Lee-Kuo Kang; Hsuan-Fan Wang; Jeng Chang
Journal:  Appl Environ Microbiol       Date:  2010-11-12       Impact factor: 4.792

4.  Ferromagnetic micropallets for magnetic capture of single adherent cells.

Authors:  Nicholas M Gunn; Ruth Chang; Trisha Westerhof; Guann-Pyng Li; Mark Bachman; Edward L Nelson
Journal:  Langmuir       Date:  2010-10-22       Impact factor: 3.882

5.  Estimating time since infection in early homogeneous HIV-1 samples using a poisson model.

Authors:  Elena E Giorgi; Bob Funkhouser; Gayathri Athreya; Alan S Perelson; Bette T Korber; Tanmoy Bhattacharya
Journal:  BMC Bioinformatics       Date:  2010-10-25       Impact factor: 3.169

6.  Linear-after-the-exponential (LATE)-PCR: an advanced method of asymmetric PCR and its uses in quantitative real-time analysis.

Authors:  J Aquiles Sanchez; Kenneth E Pierce; John E Rice; Lawrence J Wangh
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-09       Impact factor: 11.205

7.  Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing.

Authors:  Robert Pinard; Alex de Winter; Gary J Sarkis; Mark B Gerstein; Karrie R Tartaro; Ramona N Plant; Michael Egholm; Jonathan M Rothberg; John H Leamon
Journal:  BMC Genomics       Date:  2006-08-23       Impact factor: 3.969

8.  Automatic retrieval of single microchimeric cells and verification of identity by on-chip multiplex PCR.

Authors:  Thomas Kroneis; Liat Gutstein-Abo; Kristina Kofler; Michaele Hartmann; Petra Hartmann; Marianna Alunni-Fabbroni; Wolfgang Walcher; Gottfried Dohr; Erwin Petek; Esther Guetta; Peter Sedlmayr
Journal:  J Cell Mol Med       Date:  2009-05-19       Impact factor: 5.310

9.  Single cell PCR amplification of diatoms using fresh and preserved samples.

Authors:  Paul B Hamilton; Keely E Lefebvre; Roger D Bull
Journal:  Front Microbiol       Date:  2015-10-14       Impact factor: 5.640

  9 in total

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