An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed ...

Chief Financial Officer Nick Keher outlined the company’s progress in expanding beyond its historically research-led revenue base, highlighting rapid growth in clinical and applied industrial end ...

Since the COVID-19 pandemic, mRNA vaccines have gained attention as a next-generation pharmaceutical technology. mRNA therapeutics work by delivering genetic instructions that enable cells to produce ...

Matricelf Ltd. , a regenerative medicine company developing personalized engineered neural tissue implants for the treatment of spinal cord injury, today announced positive results from advanced RNA ...

A recent integrative analysis of single-cell sequencing and single-cell spatial mapping of lymph node metastasis in breast ...

Aging is a major risk factor for chronic diseases, and calorie restriction (CR) is a robust non-pharmacological intervention ...

mLLMCelltype is a multi-LLM consensus framework for automated cell type annotation in single-cell RNA sequencing (scRNA-seq) data. The framework integrates multiple large language models including ...

RNA sequencing (RNA-Seq) is a high-throughput sequencing approach that enables comprehensive quantification of transcriptomes at a genome-wide scale. As a result, RNA-Seq has become a routine ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...

This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. In this manuscript, ...

Abstract: Accurately identifying differentially expressed genes from time-course RNA-Seq data is essential for understanding the dynamics of transcriptome changes during biological processes. Although ...