Dataset Information

Plug-and-Play Protein Modification Using Homology-Independent Universal Genome Engineering.

ABSTRACT: Analysis of endogenous protein localization, function, and dynamics is fundamental to the study of all cells, including the diversity of cell types in the brain. However, current approaches are often low throughput and resource intensive. Here, we describe a CRISPR-Cas9-based homology-independent universal genome engineering (HiUGE) method for endogenous protein manipulation that is straightforward, scalable, and highly flexible in terms of genomic target and application. HiUGE employs adeno-associated virus (AAV) vectors of autonomous insertional sequences (payloads) encoding diverse functional modifications that can integrate into virtually any genomic target loci specified by easily assembled gene-specific guide-RNA (GS-gRNA) vectors. We demonstrate that universal HiUGE donors enable rapid alterations of proteins in vitro or in vivo for protein labeling and dynamic visualization, neural-circuit-specific protein modification, subcellular rerouting and sequestration, and truncation-based structure-function analysis. Thus, the "plug-and-play" nature of HiUGE enables high-throughput and modular analysis of mechanisms driving protein functions in cellular neurobiology.

SUBMITTER: Gao Y

PROVIDER: S-EPMC7200071 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Plug-and-Play Protein Modification Using Homology-Independent Universal Genome Engineering.

Gao Yudong Y Hisey Erin E Bradshaw Tyler W A TWA Erata Eda E Brown Walter E WE Courtland Jamie L JL Uezu Akiyoshi A Xiang Yu Y Diao Yarui Y Soderling Scott H SH

Neuron 20190701 4

Analysis of endogenous protein localization, function, and dynamics is fundamental to the study of all cells, including the diversity of cell types in the brain. However, current approaches are often low throughput and resource intensive. Here, we describe a CRISPR-Cas9-based homology-independent universal genome engineering (HiUGE) method for endogenous protein manipulation that is straightforward, scalable, and highly flexible in terms of genomic target and application. HiUGE employs adeno-ass ...[more]

PMID: 31272828

Similar Datasets

Project description:Quantitative susceptibility mapping employs regularization to reduce artifacts, yet many recent denoisers are unavailable for reconstruction. We developed a plug-and-play approach to QSM reconstruction (PnP QSM) and show its flexibility using several patch-based denoisers. We developed PnP QSM using alternating direction method of multiplier framework and applied collaborative filtering denoisers. We apply the technique to the 2016 QSM Challenge and in 10 glioblastoma multiforme datasets. We compared its performance with four published QSM techniques and a multi-orientation QSM method. We analyzed magnetic susceptibility accuracy using brain region-of-interest measurements, and image quality using global error metrics. Reconstructions on glioblastoma data were analyzed using ranked and semiquantitative image grading by three neuroradiologist observers to assess image quality (IQ) and sharpness (IS). PnP-BM4D QSM showed good correlation (β = 0.84, R2 = 0.98, p < 0.05) with COSMOS and no significant bias (bias = 0.007 ± 0.012). PnP-BM4D QSM achieved excellent quality when assessed using structural similarity index metric (SSIM = 0.860), high frequency error norm (HFEN = 58.5), cross correlation (CC = 0.804), and mutual information (MI = 0.475) and also maintained good conspicuity of fine features. In glioblastoma datasets, PnP-BM4D QSM showed higher performance (IQGrade = 2.4 ± 0.4, ISGrade = 2.7 ± 0.3, IQRank = 3.7 ± 0.3, ISRank = 3.9 ± 0.3) compared to MEDI (IQGrade = 2.1 ± 0.5, ISGrade = 2.1 ± 0.6, IQRank = 2.4 ± 0.6, ISRank = 2.9 ± 0.2) and FANSI-TGV (IQGrade = 2.2 ± 0.6, ISGrade = 2.1 ± 0.6, IQRank = 2.7 ± 0.3, ISRank = 2.2 ± 0.2). We illustrated the modularity of PnP QSM by interchanging two additional patch-based denoisers. PnP QSM reconstruction was feasible, and its flexibility was shown using several patch-based denoisers. This technique may allow rapid prototyping and validation of new denoisers for QSM reconstruction for an array of useful clinical applications.

Dataset Information

Plug-and-Play Protein Modification Using Homology-Independent Universal Genome Engineering.

Publications

Plug-and-Play Protein Modification Using Homology-Independent Universal Genome Engineering.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets