Best practices for single-cell analysis across modalities
Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …
Deciphering cell–cell interactions and communication from gene expression
E Armingol, A Officer, O Harismendy… - Nature Reviews …, 2021 - nature.com
Cell–cell interactions orchestrate organismal development, homeostasis and single-cell
functions. When cells do not properly interact or improperly decode molecular messages …
functions. When cells do not properly interact or improperly decode molecular messages …
Gene regulatory network inference in the era of single-cell multi-omics
P Badia-i-Mompel, L Wessels, S Müller-Dott… - Nature Reviews …, 2023 - nature.com
The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …
A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues
Although cellular senescence drives multiple age-related co-morbidities through the
senescence-associated secretory phenotype, in vivo senescent cell identification remains …
senescence-associated secretory phenotype, in vivo senescent cell identification remains …
Dissection of artifactual and confounding glial signatures by single-cell sequencing of mouse and human brain
A key aspect of nearly all single-cell sequencing experiments is dissociation of intact tissues
into single-cell suspensions. While many protocols have been optimized for optimal cell …
into single-cell suspensions. While many protocols have been optimized for optimal cell …
Applications of single-cell RNA sequencing in drug discovery and development
B Van de Sande, JS Lee, E Mutasa-Gottgens… - Nature Reviews Drug …, 2023 - nature.com
Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …
together with associated computational tools and the growing availability of public data …
Robust map** of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues
Spatial transcriptomics (ST) technologies generate multiple data types from biological
samples, namely gene expression, physical distance between data points, and/or tissue …
samples, namely gene expression, physical distance between data points, and/or tissue …
A guide for the diagnosis of rare and undiagnosed disease: beyond the exome
Rare diseases affect 30 million people in the USA and more than 300–400 million
worldwide, often causing chronic illness, disability, and premature death. Traditional …
worldwide, often causing chronic illness, disability, and premature death. Traditional …
Ultra‐high sensitivity mass spectrometry quantifies single‐cell proteome changes upon perturbation
AD Brunner, M Thielert, C Vasilopoulou… - Molecular systems …, 2022 - embopress.org
Single‐cell technologies are revolutionizing biology but are today mainly limited to imaging
and deep sequencing. However, proteins are the main drivers of cellular function and in …
and deep sequencing. However, proteins are the main drivers of cellular function and in …
Benchmarking atlas-level data integration in single-cell genomics
Single-cell atlases often include samples that span locations, laboratories and conditions,
leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets …
leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets …