Multi-omics integration in the age of million single-cell data

Z Miao, BD Humphreys, AP McMahon… - Nature Reviews …, 2021 - nature.com
An explosion in single-cell technologies has revealed a previously underappreciated
heterogeneity of cell types and novel cell-state associations with sex, disease, development …

Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities

M Zitnik, F Nguyen, B Wang, J Leskovec… - Information …, 2019 - Elsevier
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …

Inference and analysis of cell-cell communication using CellChat

S **, CF Guerrero-Juarez, L Zhang, I Chang… - Nature …, 2021 - nature.com
Understanding global communications among cells requires accurate representation of cell-
cell signaling links and effective systems-level analyses of those links. We construct a …

CellMarker: a manually curated resource of cell markers in human and mouse

X Zhang, Y Lan, J Xu, F Quan, E Zhao… - Nucleic acids …, 2019 - academic.oup.com
One of the most fundamental questions in biology is what types of cells form different tissues
and organs in a functionally coordinated fashion. Larger-scale single-cell sequencing and …

Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain

B Raj, DE Wagner, A McKenna, S Pandey… - Nature …, 2018 - nature.com
The lineage relationships among the hundreds of cell types generated during development
are difficult to reconstruct. A recent method, GESTALT, used CRISPR–Cas9 barcode editing …

Single‐cell analysis using droplet microfluidics

K Matuła, F Rivello, WTS Huck - Advanced Biosystems, 2020 - Wiley Online Library
Droplet microfluidics has revolutionized the study of single cells. The ability to
compartmentalize cells within picoliter droplets in microfluidic devices has opened up a wide …

Single-cell transcriptomics meets lineage tracing

L Kester, A Van Oudenaarden - Cell stem cell, 2018 - cell.com
Reconstructing lineage relationships between cells within a tissue or organism is a long-
standing aim in biology. Traditionally, lineage tracing has been achieved through the …

Beyond bulk: a review of single cell transcriptomics methodologies and applications

A Kulkarni, AG Anderson, DP Merullo… - Current opinion in …, 2019 - Elsevier
Highlights•Technologies such as single-cell RNA sequencing have rapidly progressed in
recent years.•Various methods exist for preparing libraries for sequencing, each with its own …

Integrative spatial analysis of cell morphologies and transcriptional states with MUSE

F Bao, Y Deng, S Wan, SQ Shen, B Wang, Q Dai… - Nature …, 2022 - nature.com
Spatial transcriptomics enables the simultaneous measurement of morphological features
and transcriptional profiles of the same cells or regions in tissues. Here we present multi …

Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data

Q Zhu, S Shah, R Dries, L Cai, GC Yuan - Nature biotechnology, 2018 - nature.com
How intrinsic gene-regulatory networks interact with a cell's spatial environment to define its
identity remains poorly understood. We developed an approach to distinguish between …