Mass spectrometry analysis of PLT5 (PLETHORA) and FIE2 (PRC2) protein interactions in the root meristematic zone of rice
Ontology highlight
ABSTRACT:
ORGANISM(S): Oryza Sativa
SUBMITTER: 
Daoxiu Zhou
PROVIDER: PXD047853 | iProX | Fri Dec 15 00:00:00 GMT 2023
REPOSITORIES: iProX
Similar Datasets
Project description:To analyze the interaction proteins of Polycomb complex PRC2 in rice, we used the FIE2-FLAG transgenic material to perform IP-MS analysis.
2022-04-22 | PXD033370 |
Project description:Rice MERISTEM ACTIVITYLESS1 (MAL1) is an RING-H2 finger domain (RFD) contained gene. To elucidate the molecular functions of MAL1 during crown root development, we generated MAL1 knock-down transgenic plants. MAL1 RNA interfering (RNAi) transgenic plants exhibited shorter crown root length and less crown root number phenotype accompanied by low cell division rate.Here we sought to find the downstream genes of OsMAL1 in rice crown root tip
2020-10-09 | GSE141854 | GEO
Project description:The root system is a crucial determinant of plant growth potential because of its important functions, e.g., acquisition of water and nutrients, structural support, and interaction with symbiotic organisms. Elucidating the molecular mechanisms of root development and functions is therefore necessary for improving plant productivity, particularly for crop plants including rice. As an initial step towards developing a comprehensive understanding of the root system, we performed a large-scale transcriptome analysis of the rice root via a combined laser microdissection and microarray analysis approach. We performed comprehensive microarray analysis of a rice crown root using laser microdissection and collected a total of 13 samples (3 replicates for each sample except for one sample, 38 total microarray data) representing 8 different developmental stages along the longitudinal axis and 3 distinct tissue-types along the radial axis at 2 different developmental stages. The 8 developmental stages represent root cap, division zone, elongation zone and maturation zone_I, II, III, IV and V. The 3 tissue-types represent epidermis/exodermis/sclerenchyma, cortex, and endodermis/pericycle/stele. In the maturation zone_V, the cortex consisted largely of aerenchyma (non-living cells) and was not used for the microarray analysis.
2011-10-25 | E-GEOD-30136 | biostudies-arrayexpress
Project description:To identifiy root hair-preferred genes in rice, we perform microarray using root hairs sample from don-gin and lon-gin cultivar
2018-03-03 | GSE111350 | GEO
Project description:To identifiy root hair-preferred genes in rice, we perform microarray using root hairs sample from don-gin and lon-gin cultivar
2018-01-30 | GSE109811 | GEO
Project description:Rice has evolved regulatory programs and specialized cell types that allow the plant to withstand different environments. To understand how rice root systems cope with water stresses, we profiled translatomes (ribosome-associated mRNAs) and accessible chromatin of developmentally-defined root cell populations from well-watered and drained control (aerobic control), water deficit, waterlogged, fully submerged plants and recovery conditions. Whereas, the waterlogging responses are limited to specific root domains, water deficit and submergence signatures are extensive, and mostly reversible after 1 day of recovery, relative to control roots. Root systems were also evaluated in rice cultivated in a paddy field. Specific responses include a halt in the cell-cycle and DNA synthesis-related genes translation in meristematic tissue under submergence and exo/endodermis suberin-related pathways bolstering under water deficit. Chromatin accessibility and translatome data integration was used to generate inferred regulatory networks that are dynamically regulated by changing water availability. The data collection is further enriched by translatome and chromatin accessibility data for the root systems of plate-grown seedlings (7 day old) and those cultivated in a paddy field (49 day old). An atlas of eight cell population translatomes for field-grown plants exhibited robust cell type expression. Collectively, these data for specific cell populations at multiple developmental ages and in multiple environments including growth two limiting water stresses will serve as a community resource.
2022-05-02 | GSE180100 | GEO
Project description:DNA microarray analysis has been proved to be an effective method in investigating unintended effects in genetically modified (GM) crops. However, unintended effects of GM plants in leaves through DNA microarray analysis has many researches, but research of unintended effects of GM plants of the underground portion has few. In this study, DNA microarray analysis was used to detect DEG in underground portions between transgenic rice HH1 and its non-transgenic control MH63. We used microarrays to study unintended effects in root of transgenic rice Huahui 1.
2013-10-16 | GSE46086 | GEO
Project description:There are two main types of root systems in flowering plants, which are taproot systems in dicot and fibrous root systems in monocot. The cellular and molecular mechanism involved in root development are mainly from the study of dicot model Arabidopsis thaliana. However, mechanisms of root development and their conservation and divergence in monocot, which including the major crops, remain largely elusive. Here we profile the transcriptomes of more than 20,000 single cells in the root tips of two rice cultivars, Nipponbare (Nip; Japonica) and 93-11 (Indica). Single-cell analysis coupled with in situ hybridization identify the cell type-specific marker genes and annotate all the clusters. Comparison of single-cell transcriptome and analysis of mark gene expression suggest well-conserved molecular landscape between rice Nip and 93-11. Moreover, our analysis suggests specific functions gene expression patterns for each cell type cluster, including the hormone genes. Comparison to Arabidopsis single-cell RNA-sequencing dataset reveals extensive differences between Arabidopsis and rice cell types, and species-specific features emphasize the importance of directly studying rice root. Our study reveals transcriptome landscape of major cell types of rice root in singe-cell resolution and provides molecular insight of the cell type morphology of cell type evolution in plants.
2020-12-25 | GSE146034 | GEO