Literature DB >> 15208186

Microarrays and the gene expression profile of a single cell.

Ernest S Kawasaki1.   

Abstract

With completion of the human genome sequence, it is now possible to study the expression of the entire human gene complement of approximately 30,000-35,000 genes. To accomplish this goal, microarrays have become the leading methodology for the analysis of global gene expression. Improvements in technology have increased the sensitivity of microarrays to the point where it is feasible to study gene expression in a small number of cells and even at the single cell level. A summary of developments in the area of expression profiling in single cells will be described, and the rationale for these types of studies will be presented. In addition, from a biologist's point of view, some bioinformatic challenges of expression analysis of single cells will be discussed.

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Year:  2004        PMID: 15208186     DOI: 10.1196/annals.1310.010

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  14 in total

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2.  RNA Sequencing and Analysis.

Authors:  Kimberly R Kukurba; Stephen B Montgomery
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3.  RNA-sequencing from single nuclei.

Authors:  Rashel V Grindberg; Joyclyn L Yee-Greenbaum; Michael J McConnell; Mark Novotny; Andy L O'Shaughnessy; Georgina M Lambert; Marcos J Araúzo-Bravo; Jun Lee; Max Fishman; Gillian E Robbins; Xiaoying Lin; Pratap Venepally; Jonathan H Badger; David W Galbraith; Fred H Gage; Roger S Lasken
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-18       Impact factor: 11.205

Review 4.  Embryonic reversions and lineage infidelities in tumour cells: genome-based models and role of genetic instability.

Authors:  Leon P Bignold
Journal:  Int J Exp Pathol       Date:  2005-04       Impact factor: 1.925

Review 5.  Single-cell genome-wide studies give new insight into nongenetic cell-to-cell variability in animals.

Authors:  Arkadiy K Golov; Sergey V Razin; Alexey A Gavrilov
Journal:  Histochem Cell Biol       Date:  2016-07-13       Impact factor: 4.304

6.  RNA-Seq analysis to capture the transcriptome landscape of a single cell.

Authors:  Fuchou Tang; Catalin Barbacioru; Ellen Nordman; Bin Li; Nanlan Xu; Vladimir I Bashkirov; Kaiqin Lao; M Azim Surani
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7.  Imaging approach for monitoring cellular metabolites and ions using genetically encoded biosensors.

Authors:  Sakiko Okumoto
Journal:  Curr Opin Biotechnol       Date:  2010-02-16       Impact factor: 9.740

Review 8.  Development and applications of single-cell transcriptome analysis.

Authors:  Fuchou Tang; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2011-04       Impact factor: 28.547

9.  Optimization of laser capture microdissection and RNA amplification for gene expression profiling of prostate cancer.

Authors:  Dagmar M Kube; Cemile D Savci-Heijink; Anne-Françoise Lamblin; Farhad Kosari; George Vasmatzis; John C Cheville; Donald P Connelly; George G Klee
Journal:  BMC Mol Biol       Date:  2007-03-21       Impact factor: 2.946

10.  Elevated alpha-synuclein mRNA levels in individual UV-laser-microdissected dopaminergic substantia nigra neurons in idiopathic Parkinson's disease.

Authors:  Jan Gründemann; Falk Schlaudraff; Olga Haeckel; Birgit Liss
Journal:  Nucleic Acids Res       Date:  2008-03-10       Impact factor: 16.971

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