Literature DB >> 15176468

Methodological considerations regarding single-cell gene expression profiling for brain injury.

Jason E Davis1, James H Eberwine, David A Hinkle, Paolo G Marciano, David F Meaney, Tracy K McIntosh.   

Abstract

Genomic microarrays are rapidly becoming ubiquitous throughout a wide variety of biological disciplines. As their use has grown during the past few years, many important discoveries have been made in the fields of central nervous system (CNS) injury and disease using this emerging technology. In addition, single-cell mRNA amplification techniques are now being used along with microarrays to overcome many of the difficulties associated with the cellular heterogeneity of the brain. This development has extended the utility of gene expression profiling and has provided researchers with exciting new insights into the neuropathology of CNS injury and disease at a molecular and cellular level. New methodological, standardization, and statistical techniques are currently being developed to improve the reproducibility of microarrays and facilitate the analysis of large amounts of data. In this review, we will discuss the application of these techniques to experimental, clinically relevant models of traumatic brain injury.

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Year:  2004        PMID: 15176468     DOI: 10.1023/b:nere.0000023598.04937.83

Source DB:  PubMed          Journal:  Neurochem Res        ISSN: 0364-3190            Impact factor:   3.996


  53 in total

1.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

Review 2.  mRna expression analysis of tissue sections and single cells.

Authors:  J Eberwine; J E Kacharmina; C Andrews; K Miyashiro; T McIntosh; K Becker; T Barrett; D Hinkle; G Dent; P Marciano
Journal:  J Neurosci       Date:  2001-11-01       Impact factor: 6.167

Review 3.  Functional genomics approaches to understanding brain disorders.

Authors:  Paul D Shilling; John R Kelsoe
Journal:  Pharmacogenomics       Date:  2002-01       Impact factor: 2.533

Review 4.  Gene expression and the myth of the average cell.

Authors:  Jeffrey M Levsky; Robert H Singer
Journal:  Trends Cell Biol       Date:  2003-01       Impact factor: 20.808

5.  Amplified RNA synthesized from limited quantities of heterogeneous cDNA.

Authors:  R N Van Gelder; M E von Zastrow; A Yool; W C Dement; J D Barchas; J H Eberwine
Journal:  Proc Natl Acad Sci U S A       Date:  1990-03       Impact factor: 11.205

6.  Protein quantification from complex protein mixtures using a proteomics methodology with single-cell resolution.

Authors:  H T Zhang; J E Kacharmina; K Miyashiro; M I Greene; J Eberwine
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-24       Impact factor: 11.205

7.  Gene expression profiles of laser-captured adjacent neuronal subtypes.

Authors:  L Luo; R C Salunga; H Guo; A Bittner; K C Joy; J E Galindo; H Xiao; K E Rogers; J S Wan; M R Jackson; M G Erlander
Journal:  Nat Med       Date:  1999-01       Impact factor: 53.440

8.  Traumatic brain injury alters the molecular fingerprint of TUNEL-positive cortical neurons In vivo: A single-cell analysis.

Authors:  D M O'Dell; R Raghupathi; P B Crino; J H Eberwine; T K McIntosh
Journal:  J Neurosci       Date:  2000-07-01       Impact factor: 6.167

9.  Embryonic neuronal markers in tuberous sclerosis: single-cell molecular pathology.

Authors:  P B Crino; J Q Trojanowski; M A Dichter; J Eberwine
Journal:  Proc Natl Acad Sci U S A       Date:  1996-11-26       Impact factor: 11.205

Review 10.  Altered gene expression in cerebral ischemia.

Authors:  K Kogure; H Kato
Journal:  Stroke       Date:  1993-12       Impact factor: 7.914

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  8 in total

1.  Single molecule transcription profiling with AFM.

Authors:  Jason Reed; Bud Mishra; Bede Pittenger; Sergei Magonov; Joshua Troke; Michael A Teitell; James K Gimzewski
Journal:  Nanotechnology       Date:  2007-05-09       Impact factor: 3.874

2.  Characterization of the laser-based release of micropallets from arrays.

Authors:  Georgina To'a Salazar; Yuli Wang; Christopher E Sims; Mark Bachman; G P Li; Nancy L Allbritton
Journal:  J Biomed Opt       Date:  2008 May-Jun       Impact factor: 3.170

3.  Development of the "Three-step MACS": a novel strategy for isolating rare cell populations in the absence of known cell surface markers from complex animal tissue.

Authors:  Mathia Y Lee; Thomas Lufkin
Journal:  J Biomol Tech       Date:  2012-07

Review 4.  The mechanics of traumatic brain injury: a review of what we know and what we need to know for reducing its societal burden.

Authors:  David F Meaney; Barclay Morrison; Cameron Dale Bass
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

5.  Laser-based directed release of array elements for efficient collection into targeted microwells.

Authors:  Nicholas C Dobes; Rahul Dhopeshwarkar; W Hampton Henley; J Michael Ramsey; Christopher E Sims; Nancy L Allbritton
Journal:  Analyst       Date:  2012-12-05       Impact factor: 4.616

6.  Enrichment and expansion of cells using antibody-coated micropallet arrays.

Authors:  Hamed Shadpour; Christopher E Sims; Nancy L Allbritton
Journal:  Cytometry A       Date:  2009-07       Impact factor: 4.355

7.  Transcriptome analysis of single cells.

Authors:  Jacqueline Morris; Jennifer M Singh; James H Eberwine
Journal:  J Vis Exp       Date:  2011-04-25       Impact factor: 1.355

8.  Smartphone-enabled optofluidic exosome diagnostic for concussion recovery.

Authors:  Jina Ko; Matthew A Hemphill; David Gabrieli; Leon Wu; Venkata Yelleswarapu; Gladys Lawrence; Wesley Pennycooke; Anup Singh; Dave F Meaney; David Issadore
Journal:  Sci Rep       Date:  2016-08-08       Impact factor: 4.379

  8 in total

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