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Dong‑Jun Lee,Taesoo Kwon,Chang‑Kug Kim,Young‑Joo Seol,Dong‑Suk Park,Tae‑Ho Lee,Byung‑Ohg Ahn 한국유전학회 2020 Genes & Genomics Vol.42 No.11
Background Sequence variations such as single nucleotide polymorphisms are markers for genetic diseases and breeding. Therefore, identifying sequence variations is one of the main objectives of several genome projects. Although most genomeproject consortiums provide standard operation procedures for sequence variation detection methods, there may be differencesin the results because of human selection or error. Objective To standardize the procedure for sequence variation detection and help researchers who are not formally trainedin bioinformatics, we developed the NGS_SNPAnalyzer, a desktop software and fully automated graphical pipeline. Methods The NGS_SNPAnalyzer is implemented using JavaFX (version 1.8); therefore, it is not limited to any operatingsystem (OS). The tools employed in the NGS_SNPAnalyzer were compiled on Microsoft Windows (version 7, 10) andUbuntu Linux (version 16.04, 17.0.4). Results The NGS_SNPAnalyzer not only includes the functionalities for variant calling and annotation but also providesquality control, mapping, and filtering details to support all procedures from next-generation sequencing (NGS) data to variantvisualization. It can be executed using pre-set pipelines and options and customized via user-specified options. Additionally,the NGS_SNPAnalyzer provides a user-friendly graphical interface and can be installed on any OS that supports JAVA. Conclusions Although there are several pipelines and visualization tools available for NGS data analysis, we developedthe NGS_SNPAnalyzer to provide the user with an easy-to-use interface. The benchmark test results indicate that theNGS_SNPAnayzer achieves better performance than other open source tools.
Rpd3L HDAC links H3K4me3 to transcriptional repression memory
Lee, Bo Bae,Choi, Ahyoung,Kim, Ji Hyun,Jun, Yukyung,Woo, Hyeonju,Ha, So Dam,Yoon, Chae Young,Hwang, Jin-Taek,Steinmetz, Lars,Buratowski, Stephen,Lee, Sanghyuk,Kim, Hye Young,Kim, TaeSoo Oxford University Press 2018 Nucleic acids research Vol.46 No.16
<P><B>Abstract</B></P><P>Transcriptional memory is critical for the faster reactivation of necessary genes upon environmental changes and requires that the genes were previously in an active state. However, whether transcriptional repression also displays ‘memory’ of the prior transcriptionally inactive state remains unknown. In this study, we show that transcriptional repression of ∼540 genes in yeast occurs much more rapidly if the genes have been previously repressed during carbon source shifts. This novel transcriptional response has been termed transcriptional repression memory (TREM). Interestingly, Rpd3L histone deacetylase (HDAC), targeted to active promoters induces TREM. Mutants for Rpd3L exhibit increased acetylation at active promoters and delay TREM significantly. Surprisingly, the interaction between H3K4me3 and Rpd3L via the Pho23 PHD finger is critical to promote histone deacetylation and TREM by Rpd3L. Therefore, we propose that an active mark, H3K4me3 enriched at active promoters, instructs Rpd3L HDAC to induce histone deacetylation and TREM.</P>