Objectives <p>Transcription factors can exhibit tissue-dependent chromatin-binding patterns. In <i>Caenorhabditis elegans</i>, genome-wide transcription factor binding profiles have primarily been generated from whole-animal samples using chromatin immunoprecipitation-based approaches, which represent aggregated signals from multiple tissues. Genome-wide datasets generated using Cleavage Under Targets and Tagmentation remain limited in this organism. UNC-130 is expressed in several tissues, but muscle-specific chromatin-binding data have not been available. In addition to providing muscle-resolved binding information, such datasets may also serve as useful references for optimizing CUT&amp;Tag experimental and computational workflows in <i>C. elegans</i>.</p> Data description <p>A Cre-loxP-based conditional tagging strategy was used to epitope-label endogenous UNC-130 specifically in muscle tissue. Cleavage Under Targets and Tagmentation was performed on embryonic cells to profile genome-wide chromatin occupancy. The dataset includes raw paired-end sequencing reads, processed alignment files, peak files, normalized coverage tracks, and genome-editing construct information. All data files and associated metadata are deposited in public repositories and provide a resource for examining muscle-specific chromatin occupancy of UNC-130.</p>

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Muscle-specific CUT&Tag profiling dataset of UNC-130 in Caenorhabditis elegans

  • Yimeng Gao,
  • Yongbin Li

摘要

Objectives

Transcription factors can exhibit tissue-dependent chromatin-binding patterns. In Caenorhabditis elegans, genome-wide transcription factor binding profiles have primarily been generated from whole-animal samples using chromatin immunoprecipitation-based approaches, which represent aggregated signals from multiple tissues. Genome-wide datasets generated using Cleavage Under Targets and Tagmentation remain limited in this organism. UNC-130 is expressed in several tissues, but muscle-specific chromatin-binding data have not been available. In addition to providing muscle-resolved binding information, such datasets may also serve as useful references for optimizing CUT&Tag experimental and computational workflows in C. elegans.

Data description

A Cre-loxP-based conditional tagging strategy was used to epitope-label endogenous UNC-130 specifically in muscle tissue. Cleavage Under Targets and Tagmentation was performed on embryonic cells to profile genome-wide chromatin occupancy. The dataset includes raw paired-end sequencing reads, processed alignment files, peak files, normalized coverage tracks, and genome-editing construct information. All data files and associated metadata are deposited in public repositories and provide a resource for examining muscle-specific chromatin occupancy of UNC-130.