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International Journal of Bioinformatics and Biological Sciences
Year : 2023, Volume : 11, Issue : 1and2
First page : ( 53) Last page : ( 56)
Print ISSN : 2319-5169. Online ISSN : 2321-7111.
Article DOI : 10.30954/2319-5169.1.2023.6

Advances in understanding the cellular composition and molecular signatures of the adult Drosophila eye through single-cell RNA sequencing

Gudelly Blessie Pradeeka1, Raja Komal K.B.2,*

1Osmania Medical College, Hyderabad, Telangana, India

2Department of Biotechnology, Malla Reddy Engineering College, Medchal, Telangana, India

*Corresponding author: kbollepo@mtu.edu

Online published on 26 March, 2025.

Abstract

The fruit fly Drosophila melanogaster has long served as a model organism for studying genetic and developmental processes. The Drosophila eye, with its well-characterized structure and genetic tractability, is a prime system for exploring the principles of differentiation, cell type specification, and neurogenesis. Recent advances in single-cell RNA sequencing (scRNA-seq) technology have revolutionized our ability to study gene expression at the individual cell level, offering unprecedented insights into cellular heterogeneity within complex tissues. This review highlights the application of scRNA-seq to the adult Drosophila eye, emphasizing its role in delineating the transcriptomic landscape of its diverse cell types. By profiling individual cells, researchers have identified novel marker genes for all major cell types in the eye, providing a detailed cellular atlas and uncovering previously unknown cellular subtypes. The review also discusses the broader implications of these methodologies for developmental biology, the importance of functional validation of identified markers, and the potential of integrating scRNA-seq data with other omics approaches. Overall, single-cell genomics of the Drosophila eye sets a new standard for cellular resolution, offering valuable insights into the complexities of gene regulation and cellular diversity, with significant implications for understanding development and disease.

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Keywords

Single cell RNA-seq, Bioinformatics, Drosophila eye, Single cell omics.

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