Mi Ni
6 Papers
Mi Ni is an academic researcher. The author has contributed to research in topics: Gene & Microbiome. The author has an hindex of 1, co-authored 1 publications.
Chat about Author
Papers
mEnrich-seq: methylation-guided enrichment sequencing of bacterial taxa of interest from microbiome.
Lei Cao,Yimeng Kong,Yu Fan,Mi Ni,A.B. Tourancheau,Magdalena Ksiezarek,Edward A. Mead,Tonny Koo,Melissa R. Gitman,Xue-Song Zhang,Gang Fang +10 more
TL;DR: mEnrich-seq is a cost-effective method that leverages DNA methylation differences to selectively sequence bacterial taxa of interest from metagenomic samples, enriching targeted taxa up to 117-fold and providing a versatile approach for microbiome research.
7
Burkholderia cenocepacia epigenetic regulator M.BceJIV simultaneously engages two DNA recognition sequences for methylation
Richard Quintana-Feliciano,Jithesh Kottur,Mi Ni,Rikhia Ghosh,Leslie Salas-Estrada,Olga Rechkoblit,Marta Filizola,Gang Fang,Aneel K. Aggarwal +8 more
TL;DR: It is shown that methylation at two recognition sequences occurs independently, and that GTWWAC motifs are enriched in intergenic regions of a strain of B. cenocepacia’s genome.
1
A single DNA methylation site regulates cell fate during Clostridioides difficile sporulation
Pola Kuhn,John W. Ribis,Mi Ni,Gang Fang,A. Shen +4 more
mEnrich-seq: Methylation-guided enrichment sequencing of bacterial taxa of interest from microbiome
Lei Cao,Yimeng Kong,Yu Fan,Mi Ni,A.B. Tourancheau,Magdalena Ksiezarek,Edward A. Mead,Tonny Koo,Melissa R. Gitman,Xue-Song Zhang,Gang Fang +10 more
TL;DR: mEnrich-seq as discussed by the authors is a method that can enrich taxa of interest from metagenomic DNA before sequencing by exploiting the self vs. non-self genome differentiation provided by natural bacterial DNA methylation and rationally choosing methylation-sensitive restriction enzymes (REs), individually or in combination, to deplete host DNA and most background microbial DNA while enriching bacterial taxa.
Predictive power of different Akkermansia phylogroups in clinical response to PD-1 blockade against non-small cell lung cancer
TL;DR: This study investigates the predictive power of Akkermansia phylogroups in response to PD-1 blockade against non-small cell lung cancer, finding a significant association between AmIa and positive response, and developing a machine learning model to improve predictive power.