Optimization of β-actin gene as a housekeeping gene for quantification of mRNA levels of target genes in buffalo endometrium

Main Article Content

Dipankar Paul
Dayal N. Das
Sukanta Mondal
Shanmugapriya Gnanasekaran
Avantika Mor
Komala Subramanya

Abstract

In order to improve (re)production, the tissue specific expression profile of gene(s) involved in the various stages of reproduction should be studied thoroughly. For the same, Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) analysis of target genes in various biological samples could fulfil the aim. Various published literatures are evidence that the qRT-PCR technique is one of the most widely used and practical methods for detecting gene expression levels. In this technique, the use of housekeeping or reference gene acts as a calibrator, plays a vital role for quantification of mRNA expression levels of target gene in order to achieve objective and reliable findings. Housekeeping genes are responsible for the maintenance of basic cellular activities that are required for a cell's existence, regardless of the cell's specialised role in the tissue or organism. However, designing of primers and optimization of PCR conditions for a housekeeping gene was required to study the function of various other genes in buffalo endometrium. Therefore, the present study was aimed to optimize the β-actin gene as a housekeeping gene that stably expresses in the buffalo uterine endometrium, and establish β-actin gene primers for qRT-PCR technique.

Article Details

How to Cite
Paul, D. ., Das, D. N., Mondal, S., Gnanasekaran, S. ., Mor, A. ., & Subramanya, K. (2022). Optimization of β-actin gene as a housekeeping gene for quantification of mRNA levels of target genes in buffalo endometrium. INDIAN JOURNAL OF PHYSIOLOGY AND ALLIED SCIENCES, 74(04), 7–11. https://doi.org/10.55184/ijpas.v74i04.65
Section
Research Article

References

Eisenberg E and Levanon EY (2013): Human housekeeping genes, revisited. Trends Genet., 29, 569-574.

Ghosh J and Mondal S (2006): Nucleic acids and protein content in relation to growth and regression of buffalo corpora lutea. Anim. Reprod. Sci., 93, 316-327.

Glare EM, Divjak M, Bailey MJ et al (2002): β-Actin and GAPDH housekeeping gene expression in asthmatic airways is variable and not suitable for normalising mRNA levels. Thorax, 57, 765-770.

Goidin D, Mamessier A, Staquet MJ et al (2001): Ribosomal 18S RNA prevails over glyceraldehyde-3-phosphate dehydrogenase and β-actin genes as internal standard for quantitative comparison of mRNA levels in invasive and noninvasive human melanoma cell subpopulations. Anal. Biochem., 295, 17-21.

Hamalainen HK, Tubman JC, Vikman S et al (2001): Identification and validation of endogenous reference genes for expression profiling of T helper cell differentiation by quantitative real-time RT-PCR. Anal. Biochem., 299, 63-70.

Joshi CJ, Ke W, Drangowska-Way A et al (2022): What are housekeeping genes?. PLOS Comput. Biol., 18, e1010295.

Koon N, Schneider-Stock R, Sarlomo-Rikala M et al (2004): Molecular targets for tumour progression in gastrointestinal stromal tumours. Gut, 53, 235-240.

Kozera B and Rapacz M (2013): Reference genes in real-time PCR. J. Appl. Genet., 54, 391-406.

Livak KJ and Schmittgen TD (2001): Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods, 25, 402-408.

Lossos IS, Czerwinski DK, Wechser MA et al (2003): Optimization of quantitative real-time RT-PCR parameters for the study of lymphoid malignancies. Leukemia, 17, 789-795.

Mondal S, Kumar V, Reddy IJ et al (2004): Progesterone and nucleic acid contents of buffalo corpus luteum in relation to stages of estrous cycle. Indian Journal of Animal Science, 74, 710-712.

Thellin O, Zorzi W, Lakaye B et al (1999): Housekeeping genes as internal standards: Use and limits. J Biotechnol., 75, 291-295.

Tilli TM, Castro CdS, Tuszynski JA et al (2016): A strategy to identify housekeeping genes suitable for analysis in breast cancer diseases. BMC Genomics, 17, 639.

Vandesompele J, De Preter K, Pattyn F et al (2002): Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol., 3, 1-12.

Zhao LM, Zheng ZX, Zhao X et al (2014): Optimization of reference genes for normalization of the quantitative polymerase chain reaction in tissue samples of gastric cancer. Asian Pac. J. Cancer P., 15, 5815-5818.