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PMID: 10948432 Published · ppublish English Comparative Study Technical Report

Improved PCR-based subtractive hybridization strategy for cloning differentially expressed genes.

BioTechniques ·Vol. 29 ·No. 2 ·2000-08-00 ·Pages 310-3

Zhu F, Yan W, Zhao ZL, Chai YB, Lu F, Wang Q, Peng WD, Yang AG, Wang CJ

Abstract

An improved PCR-based subtractive hybridization strategy was used to clone apoptosis-related genes induced by all-trans retinoic acid (ATRA) from human promyelocytic leukemia cell line HL-60 cells. The protocol used the cap-finder method, long-distance PCR, streptavidin magnetic bead-mediated subtraction and spin column chromatography. Twenty-seven clones related to apoptosis were identified by reverse dot blot assay. Seventeen were known genes, of which seven have been reported to be apoptosis related. The remaining 10 were unknown genes, five of which were sequenced and named apr-1 to apr-5. apr-1, apr-2, apr-3 and TNF were reidentified by reverse dot blot, and it is suggested that they might be related to apoptosis. The results suggest that this strategy might be efficient for large-scale cloning of differentially expressed genes in target cells.

MeSH Terms
Apoptosis/drug effects,genetics Biotinylation Clone Cells/chemistry Cloning, Molecular/methods DNA, Complementary/genetics False Positive Reactions Gene Expression Profiling/methods Gene Expression Regulation, Leukemic/drug effects HL-60 Cells/chemistry,drug effects Humans Immunoblotting Immunomagnetic Separation Male Neoplasm Proteins/genetics Polymerase Chain Reaction/methods Streptavidin Subtraction Technique Tretinoin/pharmacology
Chemicals
DNA, Complementary Neoplasm Proteins Tretinoin Streptavidin
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Zhu F
Fourth Military Medical University, Shaanxi, P.R. China. [email protected]
Yan W
Zhao Z L
Chai Y B
Lu F
Wang Q
Peng W D
Yang A G
Wang C J
Article Info
Journal
BioTechniques
Abbr.
Biotechniques
ISSN
0736-6205
Published
2000-08-00
Pages
310-3
Language
English
Region
England
NLM ID
8306785
Subset
IM
Analysis Services
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