[HTML][HTML] Machine learning for perturbational single-cell omics

Y Ji, M Lotfollahi, FA Wolf, FJ Theis - Cell Systems, 2021 - cell.com
Cell biology is fundamentally limited in its ability to collect complete data on cellular
phenotypes and the wide range of responses to perturbation. Areas such as computer vision …

Global absence and targeting of protective immune states in severe COVID-19

AJ Combes, T Courau, NF Kuhn, KH Hu, A Ray… - Nature, 2021 - nature.com
Although infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has
pleiotropic and systemic effects in some individuals,–, many others experience milder …

Unraveling non-genetic heterogeneity in cancer with dynamical models and computational tools

M Pillai, E Hojel, MK Jolly, Y Goyal - Nature Computational Science, 2023 - nature.com
Individual cells within an otherwise genetically homogenous population constantly undergo
fluctuations in their molecular state, giving rise to non-genetic heterogeneity. Such diversity …

Next-Generation Morphometry for pathomics-data mining in histopathology

DL Hölscher, N Bouteldja, M Joodaki, ML Russo… - Nature …, 2023 - nature.com
Pathology diagnostics relies on the assessment of morphology by trained experts, which
remains subjective and qualitative. Here we developed a framework for large-scale …

Context specificity of the EMT transcriptional response

DP Cook, BC Vanderhyden - Nature communications, 2020 - nature.com
Epithelial–mesenchymal plasticity contributes to many biological processes, including tumor
progression. Various epithelial–mesenchymal transition (EMT) responses have been …

[HTML][HTML] Trellis tree-based analysis reveals stromal regulation of patient-derived organoid drug responses

MR Zapatero, A Tong, JW Opzoomer, R O'Sullivan… - Cell, 2023 - cell.com
Patient-derived organoids (PDOs) can model personalized therapy responses; however,
current screening technologies cannot reveal drug response mechanisms or how tumor …

Control of cell state transitions

OS Rukhlenko, M Halasz, N Rauch, V Zhernovkov… - Nature, 2022 - nature.com
Understanding cell state transitions and purposefully controlling them is a longstanding
challenge in biology. Here we present cell state transition assessment and regulation …

scPerturb: harmonized single-cell perturbation data

S Peidli, TD Green, C Shen, T Gross, J Min, S Garda… - Nature …, 2024 - nature.com
Abstract Analysis across a growing number of single-cell perturbation datasets is hampered
by poor data interoperability. To facilitate development and benchmarking of computational …

[HTML][HTML] Transcriptional space-time mapping identifies concerted immune and stromal cell patterns and gene programs in wound healing and cancer

KH Hu, NF Kuhn, T Courau, J Tsui, B Samad, P Ha… - Cell stem cell, 2023 - cell.com
Tissue repair responses in metazoans are highly coordinated by different cell types over
space and time. However, comprehensive single-cell-based characterization covering this …

Mapping cells through time and space with moscot

D Klein, G Palla, M Lange, M Klein, Z Piran, M Gander… - bioRxiv, 2023 - biorxiv.org
Single-cell genomics technologies enable multimodal profiling of millions of cells across
temporal and spatial dimensions. Experimental limitations prevent the measurement of all …