Linked Life Data

21559756

Source:http://linkedlifedata.com/resource/pubmed/id/21559756

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
2011-7-1
pubmed:abstractText
Measurement of mRNA levels across tissue samples facilitates an understanding of how genes function and what their roles are in disease. Quantifying low-abundance mRNA requires a workflow that preserves spatial information, isolates RNA, and performs reverse-transcriptase quantitative polymerase chain reaction (RT-qPCR). This is complex because these steps are typically performed in three separate platforms. In the present study, we describe two-dimensional RT-qPCR (2D-RT-qPCR), a method that quantifies RNA across tissues sections in a single integrated platform. The method uses the grid format of a multi-well plate to macrodissect tissue sections and preserve the spatial location of the RNA; this also eliminates the need for physical homogenization of the tissue. A new lysis and nucleic acid purification protocol is performed in the same multi-well plate, followed by RT-qPCR. The feasibility 2D-RT-qPCR was demonstrated on a variety of tissue types. Potential applications of the technology as a high-throughput tissue analysis platform are discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1618-2650
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
400
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
3383-93
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Quantifying mRNA levels across tissue sections with 2D-RT-qPCR.
pubmed:affiliation
Fischell Department of Bio-Engineering, University of Maryland, College Park, MD 20742, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Intramural