Translatomics

The translatome is characterized using polysome profiling, ribosome footprinting, TRAP-seq, RNC-seq, and other translatomics techniques. Created in BioRender.com.

Translatomics is the study of all open reading frames (ORFs) that are being actively translated in a cell or organism. This collection of ORFs is called the translatome. Characterizing a cell's translatome can give insight into the array of biological pathways that are active in the cell. According to the central dogma of molecular biology, the DNA in a cell is transcribed to produce RNA, which is then translated to produce a protein. Thousands of proteins are encoded in an organism's genome, and the proteins present in a cell cooperatively carry out many functions to support the life of the cell. Under various conditions, such as during stress or specific timepoints in development, the cell may require different biological pathways to be active, and therefore require a different collection of proteins. Depending on intrinsic and environmental conditions, the collection of proteins being made at one time varies. Translatomic techniques can be used to take a "snapshot" of this collection of actively translating ORFs, which can give information about which biological pathways the cell is activating under the present conditions.[1]

Usually, the ribosome profiling technique is used to acquire the translatome information.[2] Recent advancements, including single-cell ribosome profiling, have significantly improved the resolution of these studies, allowing researchers to gain insights into translation at the level of individual cells.[3] This is particularly important for heterogeneous cell populations, where overall bulk measurements may mask important cell-to-cell differences in protein synthesis. Other methods are polysome profiling, full-length translating mRNA profiling (RNC-seq), and translating ribosome affinity purification (TRAP-seq).[4] Unlike the transcriptome, the translatome is a more accurate approximation for estimating the expression level of some genes, since the correlation between the proteome and translatome is higher than the correlation between the transcriptome and proteome.[5]

  1. ^ Zhao J, Qin B, Nikolay R, Spahn CM, Zhang G (January 2019). "Translatomics: The Global View of Translation". International Journal of Molecular Sciences. 20 (1): 212. doi:10.3390/ijms20010212. PMC 6337585. PMID 30626072.
  2. ^ King HA, Gerber AP (January 2016). "Translatome profiling: methods for genome-scale analysis of mRNA translation". Briefings in Functional Genomics. 15 (1): 22–31. doi:10.1093/bfgp/elu045. PMID 25380596.
  3. ^ Ozadam H, Tonn T, Han CM, Segura A, Hoskins I, Rao S; et al. (2023). "Single-cell quantification of ribosome occupancy in early mouse development". Nature. 618 (7967): 1057–1064. doi:10.1038/s41586-023-06228-9. PMC 10307641. PMID 37344592.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  4. ^ Zhao J, Qin B, Nikolay R, Spahn CM, Zhang G (January 2019). "Translatomics: The Global View of Translation". International Journal of Molecular Sciences. 20 (1): 212. doi:10.3390/ijms20010212. PMC 6337585. PMID 30626072.
  5. ^ Smircich P, Eastman G, Bispo S, Duhagon MA, Guerra-Slompo EP, Garat B, et al. (June 2015). "Ribosome profiling reveals translation control as a key mechanism generating differential gene expression in Trypanosoma cruzi". BMC Genomics. 16 (1): 443. doi:10.1186/s12864-015-1563-8. PMC 4460968. PMID 26054634.