Expression Stability Analysis of Candidate References for Normalization of RT-qPCR Data Using RefSeeker R package

被引:1
作者
Petersen, Patrick H. D. [1 ]
Lopacinska-Jorgensen, Joanna [1 ]
Hogdall, Claus K. [2 ]
Hogdall, Estrid, V [1 ]
机构
[1] Univ Copenhagen, Herlev Hosp, Dept Pathol, Herlev, Denmark
[2] Univ Copenhagen, Juliane Marie Ctr, Dept Gynecol, Rigshosp, Copenhagen, Denmark
来源
BIO-PROTOCOL | 2023年 / 13卷 / 17期
关键词
RT-qPCR; Normalization; Coding and non-coding RNA expression; RefFinder; Expression stability; R package; GENES;
D O I
10.21769/BioProtoc.4801
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
When performing expression analysis either for coding RNA (e.g., mRNA) or non-coding RNA (e.g., miRNA), reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) is a widely used method. To normalize these data, one or more stable endogenous references must be identified. RefFinder is an online web-based tool using four almost universally used algorithms for assessing candidate endogenous references-delta-Ct, BestKeeper, geNorm, and Normfinder. However, the online interface is presently cumbersome and time consuming. We developed an R package, RefSeeker, which performs easy and straightforward RefFinder analysis by enabling raw data import and calculation of stability from each of the algorithms and provides data output tools to create graphs and tables. This protocol uses RefSeeker R package for fast and simple RefFinder stability analysis.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts
    Zdenko Červenák
    Filip Červenák
    Adriana Adamičková
    Barbara Šalingová
    Andrea Gažová
    Ján Kyselovič
    BMC Cardiovascular Disorders, 22
  • [42] BootstRatio: A web-based statistical analysis of fold-change in qPCR and RT-qPCR data using resampling methods
    Cleries, Ramon
    Galvez, Jordi
    Espino, Meritxell
    Ribes, Josepa
    Nunes, Virginia
    Lopez de Heredia, Miguel
    COMPUTERS IN BIOLOGY AND MEDICINE, 2012, 42 (04) : 438 - 445
  • [43] Normalization strategy for selection of reference genes for RT-qPCR analysis in left ventricles of failing human hearts
    Cervenak, Zdenko
    Cervenak, Filip
    Adamickova, Adriana
    Salingova, Barbara
    Gazova, Andrea
    Kyselovic, Jan
    BMC CARDIOVASCULAR DISORDERS, 2022, 22 (01)
  • [44] RT-qPCR work-flow for single-cell data analysis
    Stahlberg, Anders
    Rusnakova, Vendula
    Forootan, Amin
    Anderova, Miroslava
    Kubista, Mikael
    METHODS, 2013, 59 (01) : 80 - 88
  • [45] Identification and Validation of Reference Genes for Expression Analysis Using RT-qPCR in Leptocybe invasa Fisher and La Salle (Hymenoptera: Eulophidae)
    Liu, Ya
    Zhou, Jing
    Qiu, Zhisong
    Hu, Ping
    Chen, Xiao
    Yang, Zhende
    INSECTS, 2023, 14 (05)
  • [46] Selection and validation of reference genes for measuring gene expression in Piper species at different life stages using RT-qPCR analysis
    de Oliveira, Leandro Francisco
    Piovezani, Amanda Rusiska
    Ivanov, Dimitre A.
    Yoshida, Leonardo
    Segal Floh, Eny Iochevet
    Kato, Massuo Jorge
    PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2022, 171 : 201 - 212
  • [47] Evaluation of suitable reference genes for gene expression studies in the developing mouse cortex using RT-qPCR
    Uppalapati, Ananya
    Wang, Timothy
    Nguyen, Lena H.
    BMC NEUROSCIENCE, 2025, 26 (01):
  • [48] RGeasy: a reference gene analysis tool for gene expression studies via RT-qPCR
    de Souza, Micaele Rodrigues
    Araujo, Ivo Pontes
    Arruda, Wosley da Costa
    Lima, Andre Almeida
    Sagio, Solange Aparecida
    Chalfun-Junior, Antonio
    Barreto, Horllys Gomes
    BMC GENOMICS, 2024, 25 (01):
  • [49] Identification and comprehensive evaluation of reference genes for RT-qPCR analysis of host gene-expression in Brassica juncea-aphid interaction using microarray data
    Ram, Chet
    Koramutla, Murali Krishna
    Bhattacharya, Ramcharan
    PLANT PHYSIOLOGY AND BIOCHEMISTRY, 2017, 116 : 57 - 67
  • [50] An approach to quantitate maternal transcripts localized in sea urchin egg cortex using RT-qPCR with accurate normalization
    Kipryushina, Yulia O.
    Maiorova, Mariia A.
    Yakovlev, Konstantin, V
    PLOS ONE, 2022, 17 (06):