Preliminary Experience With Quadratus Lumborum Catheters for Postoperative Pain Management in Pediatric-Aged Patients With Contraindications to Epidural Anesthesia.

Background: Although neuraxial techniques such as caudal and epidural anesthesia were initially the predominant regional anesthetic technique used to provide postoperative analgesia in children, there has been a transition to the use of peripheral nerve blockade such as the quadratus lumborum block (QLB). We present preliminary experience with QL catheters for continuous postoperative analgesia in a cohort of pediatric patients following colorectal surgery.

Methods: After institutional review board (IRB) approval, we retrospectively reviewed the records of patients who underwent major colorectal surgery and received QL catheters for postoperative analgesia.

: a generic computer program for Monte Carlo modelling of crystal growth.

A Monte Carlo crystal growth simulation tool, , is described which is able to simultaneously model both the crystal habit and nanoscopic surface topography of any crystal structure under conditions of variable supersaturation or at equilibrium. This tool has been developed in order to permit the rapid simulation of crystal surface maps generated by scanning probe microscopies in combination with overall crystal habit. As the simulation is based upon a coarse graining at the nanoscopic level features such as crystal rounding at low supersaturation or undersaturation conditions are also faithfully reproduced.

Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.

Functional genomics approaches can overcome limitations-such as the lack of identification of robust targets and poor clinical efficacy-that hamper cancer drug development. Here we performed genome-scale CRISPR-Cas9 screens in 324 human cancer cell lines from 30 cancer types and developed a data-driven framework to prioritize candidates for cancer therapeutics. We integrated cell fitness effects with genomic biomarkers and target tractability for drug development to systematically prioritize new targets in defined tissues and genotypes.

Unsupervised correction of gene-independent cell responses to CRISPR-Cas9 targeting.

Background: Genome editing by CRISPR-Cas9 technology allows large-scale screening of gene essentiality in cancer. A confounding factor when interpreting CRISPR-Cas9 screens is the high false-positive rate in detecting essential genes within copy number amplified regions of the genome. We have developed the computational tool CRISPRcleanR which is capable of identifying and correcting gene-independent responses to CRISPR-Cas9 targeting.