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胡明博士学术报告

  发布日期:2017-01-09  浏览量:586


报告题目: A Compendium of Chromatin Contact Maps Reveal Spatially Active Regions in the Human Genome

: 胡明博士(美国克里夫兰诊所,Lerner研究中心数量健康科学系,助理研究员)

    The three-dimensional configuration of DNA is integral to all nuclear processes in eukaryotes, yet our knowledge of the chromosome architecture is still limited. Genome-wide chromosome conformation capture studies have uncovered features of chromatin organization in cultured cells, but genome architecture in human tissues has yet to be explored. Here, we report the most comprehensive survey to date of chromatin organization in human tissues. Through integrative analysis of chromatin contact maps in 21 primary human tissues and cell types, we found topologically associating domains highly conserved in different tissues. We also discover genomic regions that exhibit unusually high levels of local chromatin interactions. These frequently interacting regions (FIREs) are enriched for super-enhancers and are near tissue-specifically expressed genes. They display strong tissue-specificity in local chromatin interactions. Additionally, FIRE formation is partially dependent on CTCF and the cohesin complex. We further show that FIREs can help annotate function of non-coding sequence variants. 

报告时间: 20171 10(周二)上午10:00-11:00

报告地点: 磬苑校区澳门赌搏网站大全H306

 

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报告人概况:胡明博士,1984年生,2006毕业于中国科学技术大学统计与金融系,获统计学学士学位及郭沫若奖学金;2008年于密歇根大学生物统计系获生物统计硕士学位;2010年于密歇根大学生物统计系获生物统计博士学位。2006年至2007年两次获得理查德 G. 康奈尔奖学金。2008年获Best Performance in Qualifying Exam(博士资格考试第一名)。2008年至2010年三次获得Rackham Conference Travel Grant AwardRackham会议旅行资助)。工作经历:20109月至20137月于哈佛大学统计系从事博士后研究工作,博士后导师为哈佛大学著名统计学家刘军博士;20138月至20167月在纽约大学医学院公共健康系生物统计组任职助理教授;20168月至今在克里夫兰诊所Lerner研究中心数量健康科学系任职助理研究员。研究领域包括统计基因学和基因组学中的模型和计算问题、生物信息学、计算生物学中的应用、蒙特卡罗方法等等。目前主持美国国立卫生研究院项目《The San Diego Center for 4D Nucleome Research》克里夫兰诊所子课题项目一项,经费 $500,000

代表性研究成果如下:

1.      Hu M and Qin ZS. (2009) Query large scale microarray compendium datasets using a model-based Bayesian approach with variable selection. PLoS One, 4(2): e4495. 影响因子:3.234.

2.      Hu M, Yu J, Taylor JMG, Chinnaiyan AM and Qin ZS. (2010) On the detection and refinement of transcription factor binding sites using ChIP-Seq data. Nucleic Acids Research, 38(7), 2154-2167. 影响因子:9.202.

3.      Hu M, Zhu Y, Taylor JMG, Liu JS and Qin ZS. (2012) Using Poisson mixed-effects model to quantify transcript-level gene expression in RNA-Seq. Bioinformatics, 28(1): 63-68. 影响因子:7.685.

4.      Hu M, Deng K, Selvaraj S, Qin ZS, Ren B and Liu JS. (2012) HiCNorm: removing biases in Hi-C data via Poisson regression. Bioinformatics, 28(23): 3131-3133. 影响因子:7.685.

5.      Hu M, Deng K, Qin ZS, Dixon J, Selvaraj S, Fang J, Ren B and Liu JS. (2013) Bayesian inference of spatial organizations of chromosomes. PLoS Computational Biology, 9(1): e1002893. 影响因子:4.587.

6.      Hu M, Deng K, Qin ZS and Liu JS. (2013) Understanding spatial organizations of chromosomes via statistical analysis of Hi-C data. Quantitative Biology, 1(2), 156-174.

7.      Xu Z, Zhang G, Jin F, Chen M, Furey TS, Sullivan PF, Qin ZS, Hu M* and Li Y*. (2015) A hidden Markov random field based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data. Bioinformatics. 32(5): 650-656. *Co-corresponding author. 影响因子:7.685.

8.      Xu Z, Zhang G, Duan Q, Chai S, Zhang B, Wu C, Jin F, Feng Y, Li Y* and Hu M*. (2016) HiView: an integrative genome browser to leverage Hi-C results for the interpretation of GWAS variants. BMC Research Notes. 9(1): 159. *Co-corresponding author.

9.      Xu Z, Zhang G, Wu C, Li Y* and Hu M*. (2016) FastHiC: a fast algorithm to detect long-range chromosomal interactions from Hi-C data. Bioinformatics. 32(17): 2692-2695. *Co-corresponding author. 影响因子:7.685.

10.  Schmitt AD*, Hu M*, #, Jung I, Xu Z, Qiu Y, Tan CL, Li Y, Lin S, Lin Y, Barr CL and Ren B#. (2016) A compendium of chromatin contact maps reveal spatially active regions in the human genome. Cell Reports. 17(8): 2042-2059. *Co-first author. #Co-corresponding author. 影响因子:7.870.

11.  Schmitt AD, Hu M* and Ren B*. (2016) Genome-wide mapping and analyses of chromosome architecture. Nature Reviews Molecular Cell Biology. In press. *Co-corresponding author. 影响因子:40.923.

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