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Fluorescence activated cell sorting followed by small RNA sequencing reveals stable microRNA expression during cell cycle progression

BACKGROUND: Previously, drug-based synchronization procedures were used for characterizing the cell cycle dependent transcriptional program. However, these synchronization methods result in growth imbalance and alteration of the cell cycle machinery. DNA content-based fluorescence activated cell sor...

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Autores principales: Grolmusz, Vince Kornél, Tóth, Eszter Angéla, Baghy, Kornélia, Likó, István, Darvasi, Ottó, Kovalszky, Ilona, Matkó, János, Rácz, Károly, Patócs, Attila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884355/
https://www.ncbi.nlm.nih.gov/pubmed/27234232
http://dx.doi.org/10.1186/s12864-016-2747-6
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author Grolmusz, Vince Kornél
Tóth, Eszter Angéla
Baghy, Kornélia
Likó, István
Darvasi, Ottó
Kovalszky, Ilona
Matkó, János
Rácz, Károly
Patócs, Attila
author_facet Grolmusz, Vince Kornél
Tóth, Eszter Angéla
Baghy, Kornélia
Likó, István
Darvasi, Ottó
Kovalszky, Ilona
Matkó, János
Rácz, Károly
Patócs, Attila
author_sort Grolmusz, Vince Kornél
collection PubMed
description BACKGROUND: Previously, drug-based synchronization procedures were used for characterizing the cell cycle dependent transcriptional program. However, these synchronization methods result in growth imbalance and alteration of the cell cycle machinery. DNA content-based fluorescence activated cell sorting (FACS) is able to sort the different cell cycle phases without perturbing the cell cycle. MiRNAs are key transcriptional regulators of the cell cycle, however, their expression dynamics during cell cycle has not been explored. METHODS: Following an optimized FACS, a complex initiative of high throughput platforms (microarray, Taqman Low Density Array, small RNA sequencing) were performed to study gene and miRNA expression profiles of cell cycle sorted human cells originating from different tissues. Validation of high throughput data was performed using quantitative real time PCR. Protein expression was detected by Western blot. Complex statistics and pathway analysis were also applied. RESULTS: Beyond confirming the previously described cell cycle transcriptional program, cell cycle dependently expressed genes showed a higher expression independently from the cell cycle phase and a lower amplitude of dynamic changes in cancer cells as compared to untransformed fibroblasts. Contrary to mRNA changes, miRNA expression was stable throughout the cell cycle. CONCLUSIONS: Cell cycle sorting is a synchronization-free method for the proper analysis of cell cycle dynamics. Altered dynamic expression of universal cell cycle genes in cancer cells reflects the transformed cell cycle machinery. Stable miRNA expression during cell cycle progression may suggest that dynamical miRNA-dependent regulation may be of less importance in short term regulations during the cell cycle. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2747-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-48843552016-05-29 Fluorescence activated cell sorting followed by small RNA sequencing reveals stable microRNA expression during cell cycle progression Grolmusz, Vince Kornél Tóth, Eszter Angéla Baghy, Kornélia Likó, István Darvasi, Ottó Kovalszky, Ilona Matkó, János Rácz, Károly Patócs, Attila BMC Genomics Research Article BACKGROUND: Previously, drug-based synchronization procedures were used for characterizing the cell cycle dependent transcriptional program. However, these synchronization methods result in growth imbalance and alteration of the cell cycle machinery. DNA content-based fluorescence activated cell sorting (FACS) is able to sort the different cell cycle phases without perturbing the cell cycle. MiRNAs are key transcriptional regulators of the cell cycle, however, their expression dynamics during cell cycle has not been explored. METHODS: Following an optimized FACS, a complex initiative of high throughput platforms (microarray, Taqman Low Density Array, small RNA sequencing) were performed to study gene and miRNA expression profiles of cell cycle sorted human cells originating from different tissues. Validation of high throughput data was performed using quantitative real time PCR. Protein expression was detected by Western blot. Complex statistics and pathway analysis were also applied. RESULTS: Beyond confirming the previously described cell cycle transcriptional program, cell cycle dependently expressed genes showed a higher expression independently from the cell cycle phase and a lower amplitude of dynamic changes in cancer cells as compared to untransformed fibroblasts. Contrary to mRNA changes, miRNA expression was stable throughout the cell cycle. CONCLUSIONS: Cell cycle sorting is a synchronization-free method for the proper analysis of cell cycle dynamics. Altered dynamic expression of universal cell cycle genes in cancer cells reflects the transformed cell cycle machinery. Stable miRNA expression during cell cycle progression may suggest that dynamical miRNA-dependent regulation may be of less importance in short term regulations during the cell cycle. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-2747-6) contains supplementary material, which is available to authorized users. BioMed Central 2016-05-27 /pmc/articles/PMC4884355/ /pubmed/27234232 http://dx.doi.org/10.1186/s12864-016-2747-6 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Grolmusz, Vince Kornél
Tóth, Eszter Angéla
Baghy, Kornélia
Likó, István
Darvasi, Ottó
Kovalszky, Ilona
Matkó, János
Rácz, Károly
Patócs, Attila
Fluorescence activated cell sorting followed by small RNA sequencing reveals stable microRNA expression during cell cycle progression
title Fluorescence activated cell sorting followed by small RNA sequencing reveals stable microRNA expression during cell cycle progression
title_full Fluorescence activated cell sorting followed by small RNA sequencing reveals stable microRNA expression during cell cycle progression
title_fullStr Fluorescence activated cell sorting followed by small RNA sequencing reveals stable microRNA expression during cell cycle progression
title_full_unstemmed Fluorescence activated cell sorting followed by small RNA sequencing reveals stable microRNA expression during cell cycle progression
title_short Fluorescence activated cell sorting followed by small RNA sequencing reveals stable microRNA expression during cell cycle progression
title_sort fluorescence activated cell sorting followed by small rna sequencing reveals stable microrna expression during cell cycle progression
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4884355/
https://www.ncbi.nlm.nih.gov/pubmed/27234232
http://dx.doi.org/10.1186/s12864-016-2747-6
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