Mapping single-cell developmental potential in health and disease with interpretable deep learning

M Kang, JJA Armenteros, GS Gulati, R Gleyzer… - bioRxiv, 2024 - biorxiv.org
Single-cell RNA sequencing (scRNA-seq) has transformed our understanding of cell fate in
developmental systems. However, identifying the molecular hallmarks of potency-the …

Network approaches for charting the transcriptomic and epigenetic landscape of the developmental origins of health and disease

SD Lombardo, IF Wangsaputra, J Menche, A Stevens - Genes, 2022 - mdpi.com
The early developmental phase is of critical importance for human health and disease later
in life. To decipher the molecular mechanisms at play, current biomedical research is …

A single-cell atlas of pig gastrulation as a resource for comparative embryology

L Simpson, A Strange, D Klisch, S Kraunsoe, T Azami… - bioRxiv, 2023 - biorxiv.org
Early mammalian gastrulations cell-fate decisions are poorly understood due to difficulties
obtaining non-rodent embryos. The bilaminar disc of pig embryos mirrors humans, making …

Single cell, whole embryo phenotyping of pleiotropic disorders of mammalian development

X Huang, J Henck, C Qiu, VKA Sreenivasan… - bioRxiv, 2022 - biorxiv.org
Mouse models are a critical tool for studying human diseases, particularly developmental
disorders, as well as for advancing our general understanding of mammalian biology …

A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models

W Tang, R Liu, H Wen, X Dai, J Ding, H Li, W Fan… - bioRxiv, 2023 - biorxiv.org
The fast-growing single-cell analysis community extends the horizon of quantitative analysis
to numerous computational tasks. While the tasks hold vastly different targets from each …

[HTML][HTML] Unraveling the hidden complexity: Exploring dental tissues through single-cell transcriptional profiling

D Eldeeb, Y Ikeda, H Hojo, S Ohba - Regenerative Therapy, 2024 - Elsevier
Understanding the composition and function of cells constituting tissues and organs is vital
for unraveling biological processes. Single-cell analysis has allowed us to move beyond …

Prioritizing transcription factor perturbations from single-cell transcriptomics

R Singh, JSS Li, SG Tattikota, Y Liu, J Xu, Y Hu… - bioRxiv, 2022 - biorxiv.org
The explosive growth of regulatory hypotheses from single-cell datasets demands accurate
prioritization of hypotheses for in vivo validation. However, current computational methods …

[HTML][HTML] Self-organization of embryonic stem cells into a reproducible embryo model through epigenome editing

GA Lodewijk, S Kozuki, C Han, BR Topacio, A Zargari… - bioRxiv, 2024 - ncbi.nlm.nih.gov
Embryonic stem cells (ESCs) can self-organize in vitro into developmental patterns with
spatial organization and molecular similarity to that of early embryonic stages. This self …

[HTML][HTML] Multi-condition and multi-modal temporal profile inference during mouse embryonic development

R Zhang, C Qiu, G Filippova, G Li, J Shendure, JP Vert… - bioRxiv, 2024 - ncbi.nlm.nih.gov
The emergence of single-cell time-series datasets enables modeling of changes in various
types of cellular profiles over time. However, due to the disruptive nature of single-cell …

Deep-Tissue Spatial Omics: Imaging Whole-Embryo Transcriptomics and Subcellular Structures at High Spatial Resolution

V Gandin, J Kim, LZ Yang, Y Lian, T Kawase, A Hu… - bioRxiv, 2024 - biorxiv.org
The inherent limitations of fluorescence microscopy, notably the restricted number of color
channels, have long constrained comprehensive spatial analysis in biological specimens …