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In vivo, genome-wide profiling of endogenously tagged chromatin-binding proteins with spatial and temporal resolution using NanoDam in Drosophila.

ABSTRACT: NanoDam is a technique for genome-wide profiling of the binding targets of any endogenously tagged chromatin-binding protein in vivo, without the need for antibodies, crosslinking, or immunoprecipitation. Here, we explain the procedure for NanoDam experiments in Drosophila, starting from a genetic cross, to the generation of sequencing libraries and, finally, bioinformatic analysis. This protocol can be readily adapted for use in other model systems after simple modifications. For complete details on the use and execution of this protocol, please refer to Tang et al. (2022).

SUBMITTER: Tang JLY

PROVIDER: S-EPMC9636480 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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In vivo, genome-wide profiling of endogenously tagged chromatin-binding proteins with spatial and temporal resolution using NanoDam in Drosophila.

Tang Jocelyn L Y JLY Krautz Robert R Llorà-Batlle Oriol O Hakes Anna E AE Fox Paul M PM Brand Andrea H AH

STAR protocols 20221101 4

NanoDam is a technique for genome-wide profiling of the binding targets of any endogenously tagged chromatin-binding protein in vivo, without the need for antibodies, crosslinking, or immunoprecipitation. Here, we explain the procedure for NanoDam experiments in Drosophila, starting from a genetic cross, to the generation of sequencing libraries and, finally, bioinformatic analysis. This protocol can be readily adapted for use in other model systems after simple modifications. For ...[more]

PMID: 36345375

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Project description:BACKGROUND: Rice is highly sensitive to drought, and the effect of drought may vary with the different genotypes and development stages. Genome-wide gene expression profiling was used as the initial point to dissect molecular genetic mechanism of this complex trait and provide valuable information for the improvement of drought tolerance in rice. Affymetrix rice genome array containing 48,564 japonica and 1,260 indica sequences was used to analyze the gene expression pattern of rice exposed to drought stress. The transcriptome from leaf, root, and young panicle at three developmental stages was comparatively analyzed combined with bioinformatics exploring drought stress related cis-elements. RESULTS: There were 5,284 genes detected to be differentially expressed under drought stress. Most of these genes were tissue- or stage-specific regulated by drought. The tissue-specific down-regulated genes showed distinct function categories as photosynthesis-related genes prevalent in leaf, and the genes involved in cell membrane biogenesis and cell wall modification over-presented in root and young panicle. In a drought environment, several genes, such as GA2ox, SAP15, and Chitinase III, were regulated in a reciprocal way in two tissues at the same development stage. A total of 261 transcription factor genes were detected to be differentially regulated by drought stress. Most of them were also regulated in a tissue- or stage-specific manner. A cis-element containing special CGCG box was identified to over-present in the upstream of 55 common induced genes, and it may be very important for rice plants responding to drought environment. CONCLUSIONS: Genome-wide gene expression profiling revealed that most of the drought differentially expressed genes (DEGs) were under temporal and spatial regulation, suggesting a crosstalk between various development cues and environmental stimuli. The identification of the differentially regulated DEGs, including TF genes and unique candidate cis-element for drought responsiveness, is a very useful resource for the functional dissection of the molecular mechanism in rice responding to environment stress.

Dataset Information

In vivo, genome-wide profiling of endogenously tagged chromatin-binding proteins with spatial and temporal resolution using NanoDam in Drosophila.

Publications

<i>In vivo</i>, genome-wide profiling of endogenously tagged chromatin-binding proteins with spatial and temporal resolution using NanoDam in <i>Drosophila</i>.

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