Literature DB >> 10349635

Preparation of cDNA from single cells and subcellular regions.

J E Kacharmina1, P B Crino, J Eberwine.   

Abstract

Phenotypic characterization of cells in conjunction with single-cell mRNA analysis, which yields information regarding expression of multiple genes in individual neurons, facilitates a detailed and comprehensive view of neuronal cell biology. More specifically, the aRNA amplification method has provided an approach to analyze mRNA levels in single cells that have been phenotypically characterized on the basis of electrophysiology, morphology, and/or protein expression. In this way, relative mRNA abundances can be directly assayed from a well-defined population of neurons. The concept of expression profiling led to the development of robotics methods for arraying thousands of cDNAs on microarrays. These cDNA arrays can be screened with labeled aRNA or cDNA to generate a molecular fingerprint of a specific cell type, disease state, or therapeutic efficacy. A broad view of how gene expression is altered in single neurons affected by a particular disease process may provide clues to pathogenetic disease mechanisms or avenues for therapeutic interventions. The use of mRNA profiles to produce diagnostics and therapeutics is called transcript-aided drug design (TADD). When coupled with single-cell resolution, TADD promises to be an important tool in diagnosis of disease states, as well as provide a blueprint on which to develop therapeutic strategies. For example, mRNA abundances in an individual diseased cell may increase, decrease, or remain constant, and thus it is possible that a pharmaceutical alone or in combination with other drugs may be specifically designed to restore mRNA abundances to a normal state. Alternatively, if functional protein levels parallel the mRNA level changes, then drugs targeting the function of the proteins translated from these altered mRNAs may prove to be therapeutic. One promise of such an approach is that information about mRNA abundances that are altered in a diseased cell may provide new therapeutic indications for existing drugs. For example, if the abundance of mRNA for the beta-adrenergic receptor is altered as shown by the microarrays for a particular disease, already available adrenergic receptor agonists or antagonists that had not previously been used in this particular disease paradigm may prove to be therapeutically efficacious. The expression profile of a given cell is a measure of the potential for protein expression. Proteins are generally the functional entities within cells and differences in protein function often result in disease. The ability to monitor the coordinate changes in gene expression, in single phenotypically identified cells, that correlate with disease will provide unique insight into the expressed genetic variability of cells and will likely furnish unforeseen insight into the underlying cellular mechanisms that produce disease etiology.

Mesh:

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Year:  1999        PMID: 10349635     DOI: 10.1016/s0076-6879(99)03003-7

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  31 in total

1.  Quantitative analysis of mRNA amplification by in vitro transcription.

Authors:  L R Baugh; A A Hill; E L Brown; C P Hunter
Journal:  Nucleic Acids Res       Date:  2001-03-01       Impact factor: 16.971

2.  Theoretical consideration of amplification strategies.

Authors:  Chad A Shaw
Journal:  Neurochem Res       Date:  2002-10       Impact factor: 3.996

3.  Investigation of different transcript quantitation tools for high-throughput mapping of brain gene expression using voxelation.

Authors:  Ram P Singh; Dahai Liu; Abhijit Chaudhari; Simon R Cherry; Richard M Leahy; Desmond J Smith
Journal:  J Mol Histol       Date:  2004-05       Impact factor: 2.611

4.  RNA expression profiling at the single molecule level.

Authors:  Jan Hesse; Jaroslaw Jacak; Maria Kasper; Gerhard Regl; Thomas Eichberger; Martina Winklmayr; Fritz Aberger; Max Sonnleitner; Robert Schlapak; Stefan Howorka; Leila Muresan; Anna-Maria Frischauf; Gerhard J Schütz
Journal:  Genome Res       Date:  2006-06-29       Impact factor: 9.043

Review 5.  Single cell transcriptomics of hypothalamic warm sensitive neurons that control core body temperature and fever response Signaling asymmetry and an extension of chemical neuroanatomy.

Authors:  James Eberwine; Tamas Bartfai
Journal:  Pharmacol Ther       Date:  2010-10-21       Impact factor: 12.310

6.  Transcriptional profiling of small samples in the central nervous system.

Authors:  Stephen D Ginsberg
Journal:  Methods Mol Biol       Date:  2008

7.  Laminar stream of detergents for subcellular neurite damage in a microfluidic device: a simple tool for the study of neuroregeneration.

Authors:  Chang Young Lee; Elena V Romanova; Jonathan V Sweedler
Journal:  J Neural Eng       Date:  2013-05-08       Impact factor: 5.379

Review 8.  Global gene expression analysis for evaluation and design of biomaterials.

Authors:  Nobutaka Hanagata; Taro Takemura; Takashi Minowa
Journal:  Sci Technol Adv Mater       Date:  2010-02-22       Impact factor: 8.090

9.  Effects of rapamycin on gene expression, morphology, and electrophysiological properties of rat hippocampal neurons.

Authors:  Stephan Rüegg; Marianna Baybis; Hal Juul; Marc Dichter; Peter B Crino
Journal:  Epilepsy Res       Date:  2007-11-05       Impact factor: 3.045

10.  Microevolution of group A streptococci in vivo: capturing regulatory networks engaged in sociomicrobiology, niche adaptation, and hypervirulence.

Authors:  Ramy K Aziz; Rita Kansal; Bruce J Aronow; William L Taylor; Sarah L Rowe; Michael Kubal; Gursharan S Chhatwal; Mark J Walker; Malak Kotb
Journal:  PLoS One       Date:  2010-04-14       Impact factor: 3.240

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