Literature DB >> 20023796

Genome-wide transcriptome analysis of 150 cell samples.

Daniel Irimia1, Michael Mindrinos2, Aman Russom1, Wenzhong Xiao2, Julie Wilhelmy2, Shenglong Wang3, Joe Don Heath3, Nurith Kurn3, Ronald G Tompkins1, Ronald W Davis2, Mehmet Toner1.   

Abstract

A major challenge in molecular biology is interrogating the human transcriptome on a genome wide scale when only a limited amount of biological sample is available for analysis. Current methodologies using microarray technologies for simultaneously monitoring mRNA transcription levels require nanogram amounts of total RNA. To overcome the sample size limitation of current technologies, we have developed a method to probe the global gene expression in biological samples as small as 150 cells, or the equivalent of approximately 300 pg total RNA. The new method employs microfluidic devices for the purification of total RNA from mammalian cells and ultra-sensitive whole transcriptome amplification techniques. We verified that the RNA integrity is preserved through the isolation process, accomplished highly reproducible whole transcriptome analysis, and established high correlation between repeated isolations of 150 cells and the same cell culture sample. We validated the technology by demonstrating that the combined microfluidic and amplification protocol is capable of identifying biological pathways perturbed by stimulation, which are consistent with the information recognized in bulk-isolated samples.

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Year:  2008        PMID: 20023796      PMCID: PMC3763906          DOI: 10.1039/b814329c

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  42 in total

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4.  Single-cell microarray analysis in hippocampus CA1: demonstration and validation of cellular heterogeneity.

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5.  Single-cell transcript analysis of pancreas development.

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7.  Distinct pattern of expression of differentiation and growth-related genes in squamous cell carcinomas of the head and neck revealed by the use of laser capture microdissection and cDNA arrays.

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8.  Combined transcriptome and genome analysis of single micrometastatic cells.

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9.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection.

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10.  A genome-wide study of gene activity reveals developmental signaling pathways in the preimplantation mouse embryo.

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  5 in total

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Authors:  Ronald G Tompkins
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2.  Integrative genome-wide approaches in embryonic stem cell research.

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Journal:  Integr Biol (Camb)       Date:  2010-09-20       Impact factor: 2.192

3.  Highly parallel genome-wide expression analysis of single mammalian cells.

Authors:  Jian-Bing Fan; Jing Chen; Craig S April; Jeffrey S Fisher; Brandy Klotzle; Marina Bibikova; Fiona Kaper; Mostafa Ronaghi; Sten Linnarsson; Takayo Ota; Jeremy Chien; Louise C Laurent; Jeanne F Loring; Sean V Nisperos; Gina Y Chen; Jiang F Zhong
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Review 4.  Microfluidics for genome-wide studies involving next generation sequencing.

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Journal:  Biomicrofluidics       Date:  2017-03-10       Impact factor: 2.800

Review 5.  Cell-Free Approaches in Synthetic Biology Utilizing Microfluidics.

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Journal:  Genes (Basel)       Date:  2018-03-06       Impact factor: 4.096

  5 in total

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