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Gene Expression Maps in Plants: Current State and Prospects
For many years, progress in the identification of gene functions has been based on classical genetic approaches. However, considerable recent omics developments have brought to the fore indirect but high-resolution methods of gene function identification such as transcriptomics, proteomics, and meta...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784182/ https://www.ncbi.nlm.nih.gov/pubmed/31466308 http://dx.doi.org/10.3390/plants8090309 |
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author | Klepikova, Anna V. Penin, Aleksey A. |
author_facet | Klepikova, Anna V. Penin, Aleksey A. |
author_sort | Klepikova, Anna V. |
collection | PubMed |
description | For many years, progress in the identification of gene functions has been based on classical genetic approaches. However, considerable recent omics developments have brought to the fore indirect but high-resolution methods of gene function identification such as transcriptomics, proteomics, and metabolomics. A transcriptome map is a powerful source of functional information and the result of the genome-wide expression analysis of a broad sampling of tissues and/or organs from different developmental stages and/or environmental conditions. In plant science, the application of transcriptome maps extends from the inference of gene regulatory networks to evolutionary studies. However, only some of these data have been integrated into databases, thus enabling analyses to be conducted without raw data; without this integration, extensive data preprocessing is required, which limits data usability. In this review, we summarize the state of plant transcriptome maps, analyze the problems associated with the combined analysis of large-scale data from various studies, and outline possible solutions to these problems. |
format | Online Article Text |
id | pubmed-6784182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67841822019-10-16 Gene Expression Maps in Plants: Current State and Prospects Klepikova, Anna V. Penin, Aleksey A. Plants (Basel) Review For many years, progress in the identification of gene functions has been based on classical genetic approaches. However, considerable recent omics developments have brought to the fore indirect but high-resolution methods of gene function identification such as transcriptomics, proteomics, and metabolomics. A transcriptome map is a powerful source of functional information and the result of the genome-wide expression analysis of a broad sampling of tissues and/or organs from different developmental stages and/or environmental conditions. In plant science, the application of transcriptome maps extends from the inference of gene regulatory networks to evolutionary studies. However, only some of these data have been integrated into databases, thus enabling analyses to be conducted without raw data; without this integration, extensive data preprocessing is required, which limits data usability. In this review, we summarize the state of plant transcriptome maps, analyze the problems associated with the combined analysis of large-scale data from various studies, and outline possible solutions to these problems. MDPI 2019-08-28 /pmc/articles/PMC6784182/ /pubmed/31466308 http://dx.doi.org/10.3390/plants8090309 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Klepikova, Anna V. Penin, Aleksey A. Gene Expression Maps in Plants: Current State and Prospects |
title | Gene Expression Maps in Plants: Current State and Prospects |
title_full | Gene Expression Maps in Plants: Current State and Prospects |
title_fullStr | Gene Expression Maps in Plants: Current State and Prospects |
title_full_unstemmed | Gene Expression Maps in Plants: Current State and Prospects |
title_short | Gene Expression Maps in Plants: Current State and Prospects |
title_sort | gene expression maps in plants: current state and prospects |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784182/ https://www.ncbi.nlm.nih.gov/pubmed/31466308 http://dx.doi.org/10.3390/plants8090309 |
work_keys_str_mv | AT klepikovaannav geneexpressionmapsinplantscurrentstateandprospects AT peninalekseya geneexpressionmapsinplantscurrentstateandprospects |