Results 91 to 100 of about 3,101 (214)
Highly multiplexed spatial transcriptomics in bacteria
Single-cell decisions made in complex environments underlie many bacterial phenomena. Image-based transcriptomics approaches offer an avenue to study such behaviors, yet these approaches have been hindered by the massive density of bacterial messenger RNA.
Ari Sarfatis +3 more
openaire +3 more sources
This project developed a smart bandage‐like patch (a microneedle array) for repairing diabetic bone damage. It intelligently senses signals from infection and inflammation, then releases its medicines in a specific, timed sequence: first an antibacterial agent, then an anti‐inflammatory agent, and finally growth factors.
Yu Wang +10 more
wiley +1 more source
Flexible analysis of spatial transcriptomics data (FAST): a deconvolution approach
Motivation Spatial transcriptomics is a state-of-art technique that allows researchers to study gene expression patterns in tissues over the spatial domain.
Meng Zhang +4 more
doaj +1 more source
Subcellular level spatial transcriptomics with PHOTON
Abstract The subcellular localization of RNA is closely linked to its function. Many RNA species are partitioned into organelles and other subcellular compartments for storage, processing, translation, or degradation.
Shreya Rajachandran +6 more
openaire +4 more sources
Cell Adhesion by Design: Engineering Tissue Culture Scaffolds With Adhesion Cues
ABSTRACT In scaffold‐based tissue engineering, the matrix should provide adequate adhesion cues for cell attachment, spreading, and function. Given the multitude of adhesion receptors and the diversity of scaffolds, there are many approaches to render scaffolds adhesive, even though they are not all equivalent.
Dalia Dranseike +3 more
wiley +1 more source
Protocol for acquiring high-quality fresh mouse lung spatial transcriptomics data
Summary: Spatial transcriptomics analysis allows the examination of the biological characteristics and spatial distribution of individual lung cells at a single-cell resolution.
Yujia Jiang +5 more
doaj +1 more source
SpotSweeper: spatially-aware quality control for spatial transcriptomics
Abstract Quality control (QC) is a crucial step to ensure the reliability and accuracy of the data obtained from RNA sequencing experiments, including spatially-resolved transcriptomics (SRT). Existing QC approaches for SRT that have been adopted from single-nucleus RNA sequencing (snRNA-seq) methods are confounded by spatial biology ...
Totty, Michael +2 more
openaire +4 more sources
Chromosomal Instability Drives Glioblastoma Heterogeneity and Therapeutic Opportunities
ABSTRACT Glioblastoma, the most aggressive and lethal form of brain cancer, is defined by profound genomic instability, with Chromosomal Instability (CIN) playing a central role in driving tumor progression, therapy resistance, and poor prognosis. CIN is characterized by numerical and structural alterations, is driven by mechanisms such as mitotic ...
Amarnath Pal +3 more
wiley +1 more source
Recovering single-cell expression profiles from spatial transcriptomics with scResolve
Summary: Many popular spatial transcriptomics techniques lack single-cell resolution. Instead, these methods measure the collective gene expression for each location from a mixture of cells, potentially containing multiple cell types.
Hao Chen +7 more
doaj +1 more source
Our study reveals the protective role of GPR124 in maintaining BBB integrity and promoting neurological recovery following TBI. It makes a significant contribution by uncovering a novel molecular interaction between GPR124 and FGFBP1 and linking this to activation of the Wnt/β‐catenin signaling pathway in vascular repair mechanisms.
Chen Wang +13 more
wiley +1 more source

