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Polysome profiling of oocytes, early development, and cell cycle in mammals

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Author
Mašek, TomášORCiD Profile - 0000-0001-8732-0565WoS Profile - Q-4636-2017Scopus Profile - 6603131017
del Lano, Edgar
Sharma, Khushboo
Gahurová, LenkaORCiD Profile - 0000-0002-9412-7971Scopus Profile - 57194153903
Dvořan, Michal
Rajan, Iappan
Aleshkina, Daria
Končinská, Markéta
Bora, Pablo
Roučová, KristinaORCiD Profile - 0000-0001-8081-4538WoS Profile - P-9197-2017
Lin, Chih-Jen
Bruce, Alexander William
Kubelka, Michal
Šušor, Andrej
Pospíšek, MartinORCiD Profile - 0000-0002-9490-8911WoS Profile - A-9100-2008Scopus Profile - 6602708932
RNA Society

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Publication date
2023
Published in
Neuvedeno
Volume / Issue
2023 (Neuvedeno)
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Abstract
Polysome profiling has provided a gold-standard method to precisely assay functional genome readout at a given time point. The wide-spread utilisation of polysome profiling has nevertheless been historically hindered by its intrinsic complexity, time-consuming nature, limited capacity for high throughput adaptation and its requirement for relatively large initial sample sizes. Here, we present Scarce Sample Polysome Profiling (SSP-profiling); method that demonstrates a combination of the sucrose gradient ultracentrifugation in small SW55Ti tubes with the qRT-PCR-based quantification of 18S and 28S rRNAs in fractionated polysome profile. SSP-profiling is suitable for both scarce and conventional sample sizes and is compatible with downstream RNA-seq to identify polysome associated transcripts
Keywords
Polysome, profiling, SSP-profiling, RNA
Permanent link
https://hdl.handle.net/20.500.14178/1992
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