A single-cell transcriptomic atlas characterizes ageing tissues in the mouse

Keywords

AgeingTranscriptomeBiologyCell typeCellCell biologyComputational biologyGeneticsGeneGene expression

Affiliated Institutions

Related Publications

Shared and distinct transcriptomic cell types across neocortical areas

Bosiljka Tasic , Zizhen Yao , Lucas T. Graybuck +45 more

The neocortex contains a multitude of cell types that are segregated into layers and functionally distinct areas. To investigate the diversity of cell types across the mouse neo...

2018 Nature 1858 citations

Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding

Alexander Rosenberg , Charles M. Roco , Richard A. Muscat +11 more

Identifying single-cell types in the mouse brain The recent development of single-cell genomic techniques allows us to profile gene expression at the single-cell level easily, a...

2018 Science 1424 citations

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution

Samuel G. Rodriques , Robert R. Stickels , Aleksandrina Goeva +7 more

Gene expression at fine scale Mapping gene expression at the single-cell level within tissues remains a technical challenge. Rodriques et al. developed a method called Slide-seq...

2019 Science 2285 citations

Mapping the Mouse Cell Atlas by Microwell-Seq

Rui Yue , Tiefeng Li , He Huang +25 more

Single-cell RNA sequencing (scRNA-seq) technologies are poised to reshape the current cell-type classification system. However, a transcriptome-based single-cell atlas has not b...

2018 Cell 1628 citations

Spatiotemporal transcriptomic atlas of mouse organogenesis using DNA nanoball-patterned arrays

Ao Chen , Sha Liao , Mengnan Cheng +66 more

Spatially resolved transcriptomic technologies are promising tools to study complex biological processes such as mammalian embryogenesis. However, the imbalance between resoluti...

2022 Cell 1380 citations

Publication Info

Year: 2020
Type: article
Volume: 583
Issue: 7817
Pages: 590-595
Citations: 1164
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

A single-cell transcriptomic atlas characterizes ageing tissues in the mouse

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

1164

OpenAlex

Cite This

APA Style

                            
                                
                                    Nicole Almanzar, 
                                
                                    Jane Antony, 
                                
                                    Ankit S. Baghel
                                
                                et al.
                            
                            (2020). 
                            A single-cell transcriptomic atlas characterizes ageing tissues in the mouse. 
                            Nature
                            , 583
                            (7817)
                            , 590-595.
                            https://doi.org/10.1038/s41586-020-2496-1
                        

Identifiers

DOI: 10.1038/s41586-020-2496-1