Results 111 to 120 of about 68,356 (275)
Subcellular level spatial transcriptomics with PHOTON
AbstractThe 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. Thus, capturing the subcellular spatial distribution of RNA would directly contribute to the understanding of RNA functions and ...
Shreya Rajachandran +6 more
openaire +4 more sources
Controlling 3D Contractility via Engineered Fibrous Hydrogel Composites
A tunable composite contractile assembly (CCA) is developed that can permit or resist contraction without changing cell‐adhesion and density, unlike collagen whose inherent coupling of these ECM cues limits its use as a platform in contractility studies.
Karen L. Xu +7 more
wiley +1 more source
Spatial transcriptomics techniques, while measuring gene expression, retain spatial location information, aiding in situ studies of organismal tissue architecture and the progression of pathological processes.
Chuanchao Zhang +2 more
doaj +1 more source
A flexible hybrid patch integrating a robust cold atmospheric plasma (CAP) system with a high‐power, ultrathin bio‐OLED was developed to enable synergistic wound healing. This multimodal therapy, combining plasma and photodynamic treatment, enhanced angiogenesis, cell proliferation, and collagen deposition, demonstrating superior in vivo efficacy and ...
Jun‐Yeop Song +11 more
wiley +1 more source
Airway Spatial Transcriptomics in Smoking
AbstractBackgroundCigarette smoking has a significant impact on global health. Although cessation has positive health benefits, some molecular changes to intercellular communications may persist in the lung. In this study we created a framework to generate hypotheses by predicting altered cell-cell communication in smoker lungs using single-cell and ...
Jarrett D. Morrow +3 more
openaire +2 more sources
SpotSweeper: spatially-aware quality control for spatial transcriptomics
AbstractQuality 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 and are ...
Totty, Michael +2 more
openaire +2 more sources
SpaNorm: spatially-aware normalization for spatial transcriptomics data
Normalization of spatial transcriptomics data is challenging due to spatial association between region-specific library size and biology. We develop SpaNorm, the first spatially-aware normalization method that concurrently models library size effects and the underlying biology, segregates these effects, and thereby removes library size effects without ...
Agus Salim +6 more
openaire +3 more sources
Patient‐specific induced pluripotent stem cells (iPSCs) can be differentiated into alveolar type II cells (iAT2s), expanded as 3D alveolospheres, and grown at physiologically relevant air–liquid interface (ALI). This study shows for the first time the infectability of iAT2s by the influenza A virus (IAV) and proves their responsiveness to the well ...
Lena Gauthier +7 more
wiley +1 more source
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin +5 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

