gene editing

From Design to Single-Cell Cloning: A Complete RNP-Based CRISPR-Cas9 Protocol for Precision Gene Correction in Human iPSCs.

A systematic, comprehensive and efficient workflow combining generation, genotyping and expansion of high-quality monoclonal iPSC lines following CRISPR-Cas9 genome editing, which provides a robust and high-throughput framework for the reliable production of monoclonal genome-edited iPSCs, thereby advancing translation...

Molecular Scissors With a Search Bar: A Historical Development Review of CRISPR and the Editing of the Genome

This article presents a narrative review of CRISPR and the Editing of the Genome in the context of Biology. The literature on this topic has expanded substantially over recent decades, yet it remains fragmented across subfields, methods, and national research traditions. Drawing on an interpretive synthesis of represen...

Next-generation vascular organoids: multi-lineage and immune integration for disease modeling and regenerative medicine

Traditional human blood vessel organoids, built primarily around endothelial monocultures, fail to replicate the multicellular architecture and dynamic immunological functions of native microvasculature. This review synthesizes an emerging paradigm shift toward third-generation, multi-lineage, and immune-competent vasc...

Editorial: The safety assessment of novel foods and new nutrient sources

An important theme that emerged from this Research Topic is the toxicological safety assessment of novel foods including genotoxicity and repeated dose toxicity. Schreppler et al., employed a standard battery of in vitro genotoxicity tests (bacterial reverse mutation assay, in vitro mouse lymphoma TK gene mutation assa...

基于生物网络的动态拓扑优化

This paper explores the application of dynamic topology optimization techniques to biological networks, aiming to enhance drug discovery and gene editing. Biological networks, complex systems of interconnected nodes and edges, are increasingly utilized in various fields. Traditional optimization methods often rely on f...

基于生物网络的动态拓扑优化

This paper explores the application of dynamic topology optimization techniques to biological networks, aiming to enhance drug discovery and gene editing. Biological networks, complex systems of interconnected nodes and edges, are increasingly utilized in various fields. Traditional optimization methods often rely on f...

Comparative evaluation of pKSE401 and pHSE401 gRNA constructs for CRISPR/Cas9-Mediated resistance to cotton leaf curl virus

The results demonstrate the cutting-edge potential of CRISPR/Cas9 multiplex approaches as next-generation methods for designing sustainable resistance to multifaceted plant virus diseases and contribute to understanding of CRISPR-based antiviral response mechanisms.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology

While LLM-based multi-agent systems show potential for large-scale software development, successful integration requires addressing challenges such as memory limitations, hallucinations, and code smells, alongside a practitioner-centric perspective.

Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis

The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.

TERE4AI: A Knowledge Graph-Based Tool for Generating EU AI Act Compliant Requirements

AI Sandbox: Technical Report

This work presents the design and implementation of a governance-aware, multi-tenant AI sandbox for structured experimentation and the generation of reusable evaluation evidence across projects and stakeholder groups.

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review

A Multi-Vocal Literature Review is conducted, combining insights from both academia and industry, including peer-reviewed studies and grey literature to systematically synthesize and analyze existing knowledge on LLM-based multi-agent systems for code generation.