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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Polysome-profiling in small tissue samples

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Liang, Shuo [1, 2] ; Bellato, Hermano Martins ; Lorent, Julie [2] ; Lupinacci, Fernanda C. S. [1] ; Oertlin, Christian [2] ; van Hoef, Vincent [2] ; Andrade, Victor P. [3] ; Roffe, Martin [1] ; Masvidal, Laia [2] ; Hajj, Glaucia N. M. [1] ; Larsson, Ola [2]
Total Authors: 11
[1] AC Camargo Canc Ctr, Int Res Ctr, Sao Paulo - Brazil
[2] Karolinska Inst, Sci Life Lab, Dept Oncol Pathol, Stockholm - Sweden
[3] AC Camargo Canc Ctr, Dept Pathol, Sao Paulo - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Nucleic Acids Research; v. 46, n. 1 JAN 9 2018.
Web of Science Citations: 5

Polysome-profiling is commonly used to study translatomes and applies laborious extraction of efficiently translated mRNA (associated with > 3 ribosomes) from a large volume across many fractions. This property makes polysome-profiling inconvenient for larger experimental designs or samples with low RNA amounts. To address this, we optimized a non-linear sucrose gradient which reproducibly enriches for efficiently translated mRNA in only one or two fractions, thereby reducing sample handling 5-10-fold. The technique generates polysomeassociated RNA with a quality reflecting the starting material and, when coupled with smart-seq2 singlecell RNA sequencing, translatomes in small tissues from biobanks can be obtained. Translatomes acquired using optimized non-linear gradients resemble those obtained with the standard approach employing linear gradients. Polysome-profiling using optimized non-linear gradients in serum starved HCT-116 cells with or without p53 showed that p53 status associates with changes in mRNA abundance and translational efficiency leading to changes in protein levels. Moreover, p53 status also induced translational buffering whereby changes in mRNA levels are buffered at the level of mRNA translation. Thus, here we present a polysome-profiling technique applicable to large study designs, primary cells and frozen tissue samples such as those collected in biobanks. (AU)

FAPESP's process: 14/15550-9 - Translational control in cancer
Grantee:Glaucia Noeli Maroso Hajj
Support Opportunities: Regular Research Grants
FAPESP's process: 14/04513-5 - Identification of molecular alterations in breast tumors: a translational approach
Grantee:Hermano Martins Bellato
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 15/15451-3 - Study on the Regulation and Function of the RSK Family in Glioblastomas
Grantee:Martín Roffé
Support Opportunities: Regular Research Grants
FAPESP's process: 13/03315-2 - Translatomic applied to the discovery of molecular alterations in gliomas
Grantee:Fernanda Cristina Sulla Lupinacci
Support Opportunities: Scholarships in Brazil - Doctorate (Direct)