CRISPR in cancer biology and therapy
Over the past decade, CRISPR has become as much a verb as it is an acronym,
transforming biomedical research and providing entirely new approaches for dissecting all …
transforming biomedical research and providing entirely new approaches for dissecting all …
[HTML][HTML] Targeting pan-essential genes in cancer: challenges and opportunities
Despite remarkable successes in the clinic, cancer targeted therapy development remains
challenging and the failure rate is disappointingly high. This problem is partly due to the …
challenging and the failure rate is disappointingly high. This problem is partly due to the …
Predicting transcriptional outcomes of novel multigene perturbations with GEARS
Understanding cellular responses to genetic perturbation is central to numerous biomedical
applications, from identifying genetic interactions involved in cancer to develo** methods …
applications, from identifying genetic interactions involved in cancer to develo** methods …
Engineered pegRNAs improve prime editing efficiency
JW Nelson, PB Randolph, SP Shen, KA Everette… - Nature …, 2022 - nature.com
Prime editing enables the installation of virtually any combination of point mutations, small
insertions or small deletions in the DNA of living cells. A prime editing guide RNA (pegRNA) …
insertions or small deletions in the DNA of living cells. A prime editing guide RNA (pegRNA) …
[HTML][HTML] Genome-wide programmable transcriptional memory by CRISPR-based epigenome editing
A general approach for heritably altering gene expression has the potential to enable many
discovery and therapeutic efforts. Here, we present CRISPRoff—a programmable epigenetic …
discovery and therapeutic efforts. Here, we present CRISPRoff—a programmable epigenetic …
Prediction of on-target and off-target activity of CRISPR–Cas13d guide RNAs using deep learning
Transcriptome engineering applications in living cells with RNA-targeting CRISPR effectors
depend on accurate prediction of on-target activity and off-target avoidance. Here we design …
depend on accurate prediction of on-target activity and off-target avoidance. Here we design …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
Genome-wide gene expression tuning reveals diverse vulnerabilities of M. tuberculosis
Antibacterial agents target the products of essential genes but rarely achieve complete
target inhibition. Thus, the all-or-none definition of essentiality afforded by traditional genetic …
target inhibition. Thus, the all-or-none definition of essentiality afforded by traditional genetic …
Microfluidics-free single-cell genomics with templated emulsification
Current single-cell RNA-sequencing approaches have limitations that stem from the
microfluidic devices or fluid handling steps required for sample processing. We develop a …
microfluidic devices or fluid handling steps required for sample processing. We develop a …
[HTML][HTML] Prediction of prime editing insertion efficiencies using sequence features and DNA repair determinants
Most short sequences can be precisely written into a selected genomic target using prime
editing; however, it remains unclear what factors govern insertion. We design a library of …
editing; however, it remains unclear what factors govern insertion. We design a library of …