98%
921
2 minutes
20
CRISPR/Cas9 or Cpf1-introduced double strand break dramatically decreases bacterial cell survival rate, which hampers multiplex genome editing in bacteria. In addition, the requirement of a foreign DNA template for each target locus is labor demanding and may encounter more GMO related regulatory hurdle in industrial applications. Herein, we developed a multiplex automated Corynebacterium glutamicum base editing method (MACBETH) using CRISPR/Cas9 and activation-induced cytidine deaminase (AID), without foreign DNA templates, achieving single-, double-, and triple-locus editing with efficiencies up to 100%, 87.2% and 23.3%, respectively. In addition, MACBETH was applied to generate a combinatorial gene inactivation library for improving glutamate production, and pyk&ldhA double inactivation strain was found to improve glutamate production by 3-fold. Finally, MACBETH was automated with an integrated robotic system, which would enable us to generate thousands of rationally engineered strains per month for metabolic engineering of C. glutamicum. As a proof of concept demonstration, the automation platform was used to construct an arrayed genome-scale gene inactivation library of 94 transcription factors with 100% success rate. Therefore, MACBETH would be a powerful tool for multiplex and automated bacterial genome editing in future studies and industrial applications.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ymben.2018.02.016 | DOI Listing |
Cell Syst
September 2025
Ray and Stephanie Lane Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA. Electronic address:
Identifying cell types in highly multiplexed images is essential for understanding tissue spatial organization. Current cell-type annotation methods often rely on extensive reference images and manual adjustments. In this work, we present a tool, the Robust Image-Based Cell Annotator (RIBCA), that enables accurate, automated, unbiased, and fine-grained cell-type annotation for images with a wide range of antibody panels without requiring additional model training or human intervention.
View Article and Find Full Text PDFCell Rep Methods
August 2025
Department of Biomedical Engineering and Computational Biology Program, OHSU, Portland, OR, USA; Knight Cancer Institute, OHSU, Portland, OR, USA. Electronic address:
We present UniFORM, a non-parametric, Python-based pipeline for normalizing multiplex tissue imaging (MTI) data at both the feature and pixel levels. UniFORM employs an automated rigid landmark registration method tailored to the distributional characteristics of MTI, with UniFORM operating without prior distributional assumptions and handling both unimodal and bimodal patterns. By aligning the biologically invariant negative populations, UniFORM removes technical variation while preserving tissue-specific expression patterns in positive populations.
View Article and Find Full Text PDFJ Infect Dev Ctries
August 2025
Department of Medical Microbiology, Faculty of Medicine, Ege University, Izmir 35100, Turkey.
Introduction: The aim of this study was to compare the performance of different clinical specimens-nasopharyngeal (NP) swabs collected by healthcare professionals (HCP-NP), self-collected nasal swabs (Sc-N), and saliva samples (S)-in diagnostic tests for investigating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA and influenza A/B RNA.
Methodology: These clinical samples were collected from 404 symptomatic cases and tested with the SARS-CoV-2 and influenza A/B RNA tests on the cobas 6800 System of Roche Molecular Systems (Roche Molecular Systems, Pleasanton, USA). The SARS-CoV-2 or influenza virus infection status was determined for all patients based on the predefined criteria and corresponding algorithms.
Lab Chip
September 2025
State Key Laboratory of Radio Frequency Heterogeneous Integration, Shanghai Jiao Tong University, Shanghai 200240, China.
Enzymatic deoxyribonucleic acid (DNA) synthesis (EDS) is an environmentally friendly approach capable of generating longer and more complex sequences than chemical synthesis, making it a promising next-generation technology for high-throughput single-stranded DNA production. However, precise sequence control at high throughput remains a key challenge. Here, we present a novel electronically controlled deprotection chemistry (ECDC) integrated with a hydrogel-primer modification system on-chip for efficient multiplexed EDS.
View Article and Find Full Text PDFJCO Precis Oncol
September 2025
Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA.
Purpose: Retrospective studies have found associations between the number of intratumoral immune cells and patient outcomes for specific cancers treated with targeted therapies. However, the clinical value of routinely quantifying intratumoral immune biomarkers using a digital pathology platform in the pan-cancer setting within an active clinical laboratory has not been established.
Methods: We developed ImmunoProfile, a daily clinical workflow that integrates automated multiplex immunofluorescence tissue staining, digital slide imaging, and machine learning-assisted scoring to quantify intratumoral CD8, PD-1, CD8PD-1, and FOXP3 immune cells and PD-L1 expression in formalin-fixed, paraffin-embedded tissue samples in a standardized and reproducible manner.