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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F23%3A10466190" target="_blank" >RIV/00216208:11310/23:10466190 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10600 - Biological sciences

Projekt

<a href="/cs/project/LX22NPO5103" target="_blank" >LX22NPO5103: Národní institut virologie a bakteriologie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů