Mouse lemur transcriptome reference at single cell resolution.

About

Microcebus murinus

The Mouse Lemur, a Genetic Model Organism for Primate Biology, Behavior, Health, and Conservation (Ezran et al., 2017)

View publication in Genetics

Atlas Manuscripts

A molecular cell atlas of mouse lemur, an emerging model primate

The Tabula Microcebus Consortium, 2025

Mouse lemur cell atlas informs primate genes, physiology and disease

The Tabula Microcebus Consortium, 2025

Fibrous osteodystrophy, chronic renal disease, and uterine adenocarcinoma in aged gray mouse lemurs

Casey et al., 2021

An organism-wide atlas of hormonal signaling based on the mouse lemur single-cell transcriptome

Liu et al., 2024

In vivo self-renewal and expansion of quiescent stem cells from a non-human primate

Kang et al., 2025

Cellular and molecular characterization of peripheral glia in the lung and other organs

Hall et al., 2024

Organism-wide mapping of MHC class I and II expression in mouse lemur cells and tissues

Guethlein et al., 2022

A primate model organism for cardiac arrhythmias identifies a magnesium transporter in pacemaker function

Chang et al., 2025

Bioinformatic Methods Developed Using the Lemur Atlas Data

FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets

Ming et al., 2022

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets

Zhao et al., 2022

Uncovering transcriptional dark matter via gene annotation independent single-cell RNA sequencing analysis

Wang et al., 2021

Specific splice junction detection in single cells with SICILIAN

Dehghannasiri et al., 2021

RNA splicing programs define tissue compartments and cell types at single-cell resolution

Olivieri et al., 2021

Mapping single-cell atlases throughout metazoa unravels cell type evolution

Tarashansky et al., 2021

Leveraging the cell ontology to classify unseen cell types

Wang et al., 2021

SPLASH: a statistical, reference-free genomic algorithm unifies biological discovery

Chaung et al., 2022