The epigenetic basis of cellular heterogeneity

B Carter, K Zhao - Nature Reviews Genetics, 2021 - nature.com
Single-cell sequencing-based methods for profiling gene transcript levels have revealed
substantial heterogeneity in expression levels among morphologically indistinguishable …

[HTML][HTML] Heterogeneity of mesenchymal stem cells in cartilage regeneration: from characterization to application

K Zha, X Li, Z Yang, G Tian, Z Sun, X Sui… - NPJ Regenerative …, 2021 - nature.com
Articular cartilage is susceptible to damage but hard to self-repair due to its avascular
nature. Traditional treatment methods are not able to produce satisfactory effects …

CellMarker 2.0: an updated database of manually curated cell markers in human/mouse and web tools based on scRNA-seq data

C Hu, T Li, Y Xu, X Zhang, F Li, J Bai… - Nucleic Acids …, 2023 - academic.oup.com
Abstract CellMarker 2.0 (http://bio-bigdata. hrbmu. edu. cn/CellMarker or http://117.50.
127.228/CellMarker/) is an updated database that provides a manually curated collection of …

Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing

M Zhang, S Hu, M Min, Y Ni, Z Lu, X Sun, J Wu, B Liu… - Gut, 2021 - gut.bmj.com
Objective Tumour heterogeneity represents a major obstacle to accurate diagnosis and
treatment in gastric adenocarcinoma (GA). Here, we report a systematic transcriptional atlas …

[HTML][HTML] Understanding tumor ecosystems by single-cell sequencing: promises and limitations

X Ren, B Kang, Z Zhang - Genome biology, 2018 - Springer
Cellular heterogeneity within and across tumors has been a major obstacle in
understanding and treating cancer, and the complex heterogeneity is masked if bulk tumor …

Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq

J Chen, S Suo, PPL Tam, JDJ Han, G Peng, N Jing - Nature protocols, 2017 - nature.com
Conventional gene expression studies analyze multiple cells simultaneously or single cells,
for which the exact in vivo or in situ position is unknown. Although cellular heterogeneity can …

Computational methods for trajectory inference from single‐cell transcriptomics

R Cannoodt, W Saelens, Y Saeys - European journal of …, 2016 - Wiley Online Library
Recent developments in single‐cell transcriptomics have opened new opportunities for
studying dynamic processes in immunology in a high throughput and unbiased manner …

Recent advances in the use of microfluidic technologies for single cell analysis

TW Murphy, Q Zhang, LB Naler, S Ma, C Lu - Analyst, 2018 - pubs.rsc.org
The inherent heterogeneity in cell populations has become of great interest and importance
as analytical techniques have improved over the past decades. With the advent of …

[HTML][HTML] Integrative single-cell analysis of transcriptome, DNA methylome and chromatin accessibility in mouse oocytes

C Gu, S Liu, Q Wu, L Zhang, F Guo - Cell research, 2019 - nature.com
Oocyte growth is a key step in forming mature eggs that are ready to be fertilized. The states
and modifications of chromatin represent critical sources of information for this process …

[HTML][HTML] Tumour heterogeneity: the key advantages of single-cell analysis

M Tellez-Gabriel, B Ory, F Lamoureux… - International journal of …, 2016 - mdpi.com
Tumour heterogeneity refers to the fact that different tumour cells can show distinct
morphological and phenotypic profiles, including cellular morphology, gene expression …