Transcriptional search to identify and assess reference genes for expression analysis in Solanumlycopersicum under stress and hormone treatment conditions-Reference-Cited by-同舟云学术

Transcriptional search to identify and assess reference genes for expression analysis in Solanumlycopersicum under stress and hormone treatment conditions

Published:2022 Issue:11 Volume:21 Page:3216-3229
ISSN:2095-3119
Container-title:Journal of Integrative Agriculture
language:en
Short-container-title:Journal of Integrative Agriculture

Author:

DUAN Yao-ke,HAN Rong,SU Yan,WANG Ai-ying,LI Shuang,SUN Hao,GONG Hai-jun

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Animal Science and Zoology,Food Animals,Ecology,Biochemistry,Food Science

Reference76 articles.

1. Method for detection of specific RNAs in agarose gels by transfer to diazobenzyloxymethyl-paper and hybridization with DNA probes;Alwine;Proceedings of the National Academy of Sciences of the United States of America,1977

2. Normalization of real-time quantitative reverse transcription-PCR data: a model based variance estimation approach to identify genes suited for normalization, applied to bladder, and colon cancer data-sets;Andersen;Cancer Research,2004

3. Recent insights into signaling responses to cope drought stress in rice;Aslam;Rice Science,2022

4. Plant behaviour under combined stress: Tomato responses to combined salinity and pathogen stress;Bai;The Plant Journal,2018

5. Identification of suitable internal control genes for expression studies in Coffea arabica under different experimental conditions;Barsalobres-Cavallari;BMC Molecular Biology,2009

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