Advances in spatial transcriptomic data analysis
Spatial transcriptomics is a rapidly growing field that promises to comprehensively
characterize tissue organization and architecture at the single-cell or subcellular resolution …
characterize tissue organization and architecture at the single-cell or subcellular resolution …
Recent advances and applications of machine learning in experimental solid mechanics: A review
For many decades, experimental solid mechanics has played a crucial role in characterizing
and understanding the mechanical properties of natural and novel artificial materials …
and understanding the mechanical properties of natural and novel artificial materials …
[HTML][HTML] Integrated intracellular organization and its variations in human iPS cells
Understanding how a subset of expressed genes dictates cellular phenotype is a
considerable challenge owing to the large numbers of molecules involved, their …
considerable challenge owing to the large numbers of molecules involved, their …
Spatial Transcriptomics-correlated Electron Microscopy maps transcriptional and ultrastructural responses to brain injury
P Androvic, M Schifferer, K Perez Anderson… - Nature …, 2023 - nature.com
Understanding the complexity of cellular function within a tissue necessitates the
combination of multiple phenotypic readouts. Here, we developed a method that links …
combination of multiple phenotypic readouts. Here, we developed a method that links …
Self-supervised deep learning encodes high-resolution features of protein subcellular localization
Explaining the diversity and complexity of protein localization is essential to fully understand
cellular architecture. Here we present cytoself, a deep-learning approach for fully self …
cellular architecture. Here we present cytoself, a deep-learning approach for fully self …
Multimodal charting of molecular and functional cell states via in situ electro-sequencing
Paired mapping of single-cell gene expression and electrophysiology is essential to
understand gene-to-function relationships in electrogenic tissues. Here, we developed in …
understand gene-to-function relationships in electrogenic tissues. Here, we developed in …
Optofluidic imaging meets deep learning: from merging to emerging
Propelled by the striking advances in optical microscopy and deep learning (DL), the role of
imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a …
imaging in lab-on-a-chip has dramatically been transformed from a silo inspection tool to a …
A comprehensive analysis of gene expression changes in a high replicate and open-source dataset of differentiating hiPSC-derived cardiomyocytes
T Grancharova, KA Gerbin, AB Rosenberg, CM Roco… - Scientific Reports, 2021 - nature.com
We performed a comprehensive analysis of the transcriptional changes occurring during
human induced pluripotent stem cell (hiPSC) differentiation to cardiomyocytes. Using single …
human induced pluripotent stem cell (hiPSC) differentiation to cardiomyocytes. Using single …
Bayesian metamodeling of complex biological systems across varying representations
Comprehensive modeling of a whole cell requires an integration of vast amounts of
information on various aspects of the cell and its parts. To divide and conquer this task, we …
information on various aspects of the cell and its parts. To divide and conquer this task, we …
Histone demethylase KDM5 regulates cardiomyocyte maturation by promoting fatty acid oxidation, oxidative phosphorylation, and myofibrillar organization
M Deogharia, L Venegas-Zamora… - Cardiovascular …, 2024 - academic.oup.com
Aims Human pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) provide a platform to
identify and characterize factors that regulate the maturation of CMs. The transition from an …
identify and characterize factors that regulate the maturation of CMs. The transition from an …