Circular RNA prediction from transcriptomic data of 4T1 mouse mammary tumor cell line
Author(s):
Waseem Akram Malla, Richa Arora, Niha Ayman, Sheikh Firdous Ahmad, Sajad Ahmad Beigh, Sonalika Mahajan, Basavaraj Sajjanar, Ravikumar Gandham and Ashok Kumar Tiwari
Abstract:
Circular RNAs (circRNAs) are non-canonical forms of RNA that lack a poly-A tail, are highly stable, and form circular structures due to covalently linked 3’ and 5’ ends. 4T1 cell line is a mouse mammary tumor cell line used as a model for studying triple-negative breast cancer. RNASeq datasets from 4T1 mouse mammary tumor cell line were obtained from the ENA database and analyzed for the expression of circRNAs. The CIRI-full pipeline was used for circRNA prediction and full structure reconstruction. Three circRNAs (1:173740380|173810307, 1:173698944| 173733197, and 10:22161590|22183197) were found to be highly expressed, out of which one was found to be expressed in all datasets. Several other circRNAs detected in the study were expressed at low levels. Analysis of the host genes of these circRNAs revealed that the host genes are involved in several cellular processes that regulate cancer cell proliferation, enhance their survival and affect apoptosis.
How to cite this article:
Waseem Akram Malla, Richa Arora, Niha Ayman, Sheikh Firdous Ahmad, Sajad Ahmad Beigh, Sonalika Mahajan, Basavaraj Sajjanar, Ravikumar Gandham, Ashok Kumar Tiwari. Circular RNA prediction from transcriptomic data of 4T1 mouse mammary tumor cell line. Pharma Innovation 2021;10(11):939-942.