Aerogels derived
from nanocellulose have emerged as attractive
absorbents for cleaning up oil spills and organic pollutants due to
their lightweight, exceptional absorption capacity, and sustainability.
However, the majority of the nanocellulose aerogels based on the bottom-up
fabrication process still lack sufficient mechanical robustness because
of their disordered architecture with randomly assembled cellulose
nanofibrils, which is an obstacle to their practical application as
oil absorbents. Herein, we report an effective strategy to create
anisotropic cellulose-based wood sponges with a special spring-like
lamellar structure directly from natural balsa wood. The selective
removal of lignin and hemicelluloses via chemical
treatment broke the thin cell walls of natural wood, leading to a
lamellar structure with wave-like stacked layers upon freeze-drying.
A subsequent silylation reaction allowed the growth of polysiloxane
coatings on the skeleton surface. The resulting silylated wood sponge
exhibited high mechanical compressibility (reversible compression
of 60%) and elastic recovery (∼99% height retention after 100
cycles at 40% strain). The wood sponge showed excellent oil/water
absorption selectivity with a high oil absorption capacity of 41 g
g–1. Moreover, the absorbed oils can be recovered
by simple mechanical squeezing, and the porous sponge maintained a
high oil-absorption capacity upon multiple squeezing-absorption cycles,
displaying excellent recyclability. Taking advantage of the unidirectional
liquid transport of the porous sponge, an oil-collecting device was
successfully designed to continuously separate contaminants from water.
Such an easy, low-cost, and scalable top-down approach holds great
potential for developing effective and reusable oil absorbents for
oil/water separation.
Genome-wide screening using CRISPR coupled with nuclease Cas9 (CRISPR/Cas9) is a powerful technology for the systematic evaluation of gene function. Statistically principled analysis is needed for the accurate identification of gene hits and associated pathways. Here, we describe how to perform computational analysis of CRISPR screens using the MAGeCKFlute pipeline. MAGeCKFlute combines the MAGeCK and MAGeCK-VISPR algorithms and incorporates additional downstream analysis functionalities. MAGeCKFlute is distinguished from other currently available tools by being a comprehensive pipeline that contains a series of functions for analyzing CRISPR screen data. This protocol explains how to use MAGeCKFlute to perform quality control, normalization, batch effect removal, copy number bias correction, gene hit identification, and downstream functional enrichment analysis for CRISPR screens. We also describe gene identification and data analysis in CRISPR screens involving drug treatment. Completing the entire MAGeCKFlute pipeline requires approximately two hours on a desktop computer running Linux or Mac OS and with R support. The MAGeCKFlute package is available at http://www.bioconductor.org/packages/release/bioc/html/MAGeCKFlute.html.
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