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Samuel D. Perli
Researcher at Massachusetts Institute of Technology
Publications - 23
Citations - 2064
Samuel D. Perli is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: CRISPR & Cas9. The author has an hindex of 11, co-authored 23 publications receiving 1768 citations. Previous affiliations of Samuel D. Perli include Gladstone Institutes & Mitsubishi Electric Research Laboratories.
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Journal ArticleDOI
Multiplexed and Programmable Regulation of Gene Networks with an Integrated RNA and CRISPR/Cas Toolkit in Human Cells
TL;DR: This work presents new strategies that enable expression of functional gRNAs from RNA polymerase II promoters and multiplexed production of proteins and g RNAs from a single transcript in human cells.
Proceedings ArticleDOI
Interference alignment and cancellation
TL;DR: Interference alignment and cancellation (IAC) is presented, a new approach for decoding concurrent sender-receiver pairs in MIMO networks that synthesizes two signal processing techniques, interference alignment and interference cancellation, showing that the combination applies to scenarios where neither interference alignment nor cancellation applies alone.
Journal ArticleDOI
Tunable and Multifunctional Eukaryotic Transcription Factors Based on CRISPR/Cas
TL;DR: In this article, a CRISPR/Cas system of Streptococcus pyogenes can be programmed to direct both activation and repression to natural and artificial eukaryotic promoters through the simple engineering of guide RNAs with base-pairing complementarity to target DNA sites.
Journal ArticleDOI
Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM
Alan S.L. Wong,Gigi C G Choi,Cheryl H. Cui,Gabriela Pregernig,Pamela Milani,Miriam Adam,Samuel D. Perli,Samuel W. Kazer,Aleth Gaillard,Aleth Gaillard,Mario Hermann,Alex K. Shalek,Alex K. Shalek,Ernest Fraenkel,Timothy K. Lu +14 more
TL;DR: The CombiGEM-CRISPR platform will be applicable to a broad range of biological settings and will accelerate the systematic identification of genetic combinations and their translation into novel drug combinations that modulate complex human disease phenotypes.
Proceedings ArticleDOI
PixNet: interference-free wireless links using LCD-camera pairs
TL;DR: PixNet generalizes the popular OFDM transmission algorithms to address the unique characteristics of the LCD-camera link which include perspective distortion, blur, and sensitivity to ambient light.