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Gene-Wei Li

Researcher at Massachusetts Institute of Technology

Publications -  45
Citations -  9642

Gene-Wei Li is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Ribosome profiling & RNA. The author has an hindex of 24, co-authored 45 publications receiving 8390 citations. Previous affiliations of Gene-Wei Li include University of California, San Francisco & Harvard University.

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Quantifying E. coli proteome and transcriptome with single-molecule sensitivity in single cells.

TL;DR: System-wide analyses of protein and mRNA expression in individual cells with single-molecule sensitivity using a newly constructed yellow fluorescent protein fusion library for Escherichia coli found that almost all protein number distributions can be described by the gamma distribution with two fitting parameters which, at low expression levels, have clear physical interpretations as the transcription rate and protein burst size.
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Dynamic Imaging of Genomic Loci in Living Human Cells by an Optimized CRISPR/Cas System

TL;DR: Using an EGFP-tagged endonuclease-deficient Cas9 protein and a structurally optimized small guide (sg) RNA, robust imaging of repetitive elements in telomeres and coding genes in living cells is demonstrated by repurposing the bacterial CRISPR/Cas system.
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Quantifying Absolute Protein Synthesis Rates Reveals Principles Underlying Allocation of Cellular Resources

TL;DR: This work presents a genome-wide approach, based on ribosome profiling, for measuring absolute protein synthesis rates, and reveals how general principles, important both for understanding natural systems and for synthesizing new ones, emerge from quantitative analyses of protein synthesis.
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Probing Transcription Factor Dynamics at the Single-Molecule Level in a Living Cell

TL;DR: In a living Escherichia coli cell, specific binding of a lac repressor, labeled with a fluorescent protein, to a chromosomal lac operator is observed and the kinetics of binding and dissociation of the repressor in response to metabolic signals are measured using single-molecule detection techniques.
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The anti-Shine–Dalgarno sequence drives translational pausing and codon choice in bacteria

TL;DR: It is shown that internal SD-like sequences are a major determinant of translation rates and a global driving force for the coding of bacterial genomes, and that codons decoded by rare transfer RNAs do not lead to slow translation under nutrient-rich conditions.