M
Manolis Kellis
Researcher at Massachusetts Institute of Technology
Publications - 448
Citations - 132627
Manolis Kellis is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 128, co-authored 405 publications receiving 112181 citations. Previous affiliations of Manolis Kellis include Broad Institute & Epigenomics AG.
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Journal ArticleDOI
A high-throughput screening and computation platform for identifying synthetic promoters with enhanced cell-state specificity (SPECS)
Ming-Ru Wu,Lior Nissim,Doron Stupp,Erez Pery,Adina Binder-Nissim,Karen Weisinger,Casper Enghuus,Sebastian Palacios,Melissa R. Humphrey,Zhizhuo Zhang,Zhizhuo Zhang,Eva Maria Novoa,Eva Maria Novoa,Manolis Kellis,Manolis Kellis,Ron Weiss,Samuel D. Rabkin,Yuval Tabach,Timothy K. Lu +18 more
TL;DR: A next-generation sequencing approach combined with machine learning is used to screen a synthetic promoter library with 6107 designs for high-performance SPECS for potentially any cell state.
Journal ArticleDOI
An AR-ERG transcriptional signature defined by long-range chromatin interactomes in prostate cancer cells.
Zhizhuo Zhang,Kern Rei Chng,Shreyas Lingadahalli,Zikai Chen,Zikai Chen,Mei Hui Liu,Huy Hoang Do,Shaojiang Cai,Nicola J. Rinaldi,Huay Mei Poh,Guoliang Li,Guoliang Li,Ying Ying Sung,Charlie L. Heng,Leighton J. Core,Si Kee Tan,Xiaoan Ruan,John T. Lis,Manolis Kellis,Manolis Kellis,Yijun Ruan,Wing-Kin Sung,Wing-Kin Sung,Edwin Cheung,Edwin Cheung +24 more
TL;DR: A novel framework to profile long-range chromatin interactions associated with AR and its collaborative transcription factor, erythroblast transformation-specific related gene (ERG), using chromatin interaction analysis by paired-end tag (ChIA-PET).
Evolutionary Dynamics of Abundant Stop Codon Readthrough
Gabriel Fields,Michael F. Lin,Irwin Jungreis,Clara S. Chan,Robert M. Waterhouse,Manolis Kellis +5 more
TL;DR: It is found that most differences between the readthrough repertoires of the two species arose from readthrough gain or loss in existing genes, rather than birth of new genes or gene death; that readthrough-associated RNA structures are sometimes gained or lost while readthrough persists; and that read through is under continued purifying evolutionary selection in mosquito, based on population genetic evidence.
Journal ArticleDOI
Genus-wide characterization of bumblebee genomes provides insights into their evolution and variation in ecological and behavioral traits
Cheng Sun,Jiaxing Huang,Yun Wang,Xiaomeng Zhao,Long Su,Gregg W.C. Thomas,Mengya Zhao,Xingtan Zhang,Irwin Jungreis,Irwin Jungreis,Manolis Kellis,Manolis Kellis,Saverio Vicario,Igor V. Sharakhov,Igor V. Sharakhov,Semen M. Bondarenko,Martin Hasselmann,Chang N Kim,Benedict Paten,Luca Penso-Dolfin,Li Wang,Yuxiao Chang,Qiang Gao,Ling Ma,Lina Ma,Zhang Zhang,Hongbo Zhang,Hua-Hao Zhang,Livio Ruzzante,Hugh M. Robertson,Yihui Zhu,Yanjie Liu,Huipeng Yang,Lele Ding,Quangui Wang,Dongna Ma,Weilin Xu,Cheng Liang,Michael W. Itgen,Lauren Mee,Gang Cao,Ze Zhang,Ben M. Sadd,Matthew W. Hahn,Sarah Schaack,Seth M. Barribeau,Paul H. Williams,Robert M. Waterhouse,Rachel Lockridge Mueller +48 more
TL;DR: This study reveals how bumblebee genes and genomes have evolved across the Bombus phylogeny and identifies variations potentially linked to key ecological and behavioral traits of these important pollinators.
Posted ContentDOI
Single-cell dissection of schizophrenia reveals neurodevelopmental-synaptic axis and transcriptional resilience
W. Brad Ruzicka,W. Brad Ruzicka,W. Brad Ruzicka,Shahin Mohammadi,Shahin Mohammadi,Jose Davila-Velderrain,Jose Davila-Velderrain,Sivan Subburaju,Sivan Subburaju,Daniel Reed Tso,Makayla Hourihan,Manolis Kellis,Manolis Kellis +12 more
TL;DR: The first single-cell dissection of schizophrenia is presented, across 500,000+ cells from 48 postmortem human prefrontal cortex samples, and a novel excitatory-neuron cell-state is discovered indicative of transcriptional resilience and enriched in schizophrenia subjects with less-perturbed transcriptional signatures.