2026-10-12T17:29:42Z https://www.scidb.cn/oai

10.57760/sciencedb.44448 2026-07-29T17:10:47Z

2026-07-29 Multi-condition transcriptomic dataset of AGL103-regulated osmotic stress response in Arabidopsis thaliana. doi:10.57760/sciencedb.44448 en This project integrates five transcriptome sequencing datasets to systematically elucidate the regulatory function of the MADS-box transcription factor AGL103 in osmotic stress response (mannitol-simulated drought) in Arabidopsis thaliana. The dataset encompasses the following experimental conditions:Transcriptome comparison between wild-type (WT) and AGL103-overexpressing (AGL103-OX) materials under normal conditions;Transcriptome comparison between wild-type and agl103 mutant materials under normal conditions;Transcriptome comparison between wild-type and AGL103-overexpressing materials following mannitol treatment;Transcriptome comparison between wild-type and agl103 mutant materials following mannitol treatment;Expression profiling of key gene families involved in stress response, cell wall modification, aquaporins, seed storage proteins, and growth regulation.By integrating multi-dimensional data from normal versus stress conditions, as well as gain-of-function versus loss-of-function lines, this project aims to uncover the molecular mechanisms by which AGL103 regulates drought stress tolerance, water transport, cell wall remodeling, and growth/development in plants. Arabidopsis thaliana; AGL103; osmotic stress Lan Pingxia Zhao PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank