M Hong, S Tao, L Zhang, LT Diao, X Huang… - Journal of hematology & …, 2020 - Springer
Over the past few decades, RNA sequencing has significantly progressed, becoming a paramount approach for transcriptome profiling. The revolution from bulk RNA sequencing …
P Ma, HM Amemiya, LL He, SJ Gandhi, R Nicol… - Cell, 2023 - cell.com
We introduce BacDrop, a highly scalable technology for bacterial single-cell RNA sequencing that has overcome many challenges hindering the development of scRNA-seq …
Most methods for single-cell transcriptome sequencing amplify the termini of polyadenylated transcripts, capturing only a small fraction of the total cellular transcriptome. This precludes …
X Han, Z Zhou, L Fei, H Sun, R Wang, Y Chen, H Chen… - Nature, 2020 - nature.com
Single-cell analysis is a valuable tool for dissecting cellular heterogeneity in complex systems. However, a comprehensive single-cell atlas has not been achieved for humans …
The recent maturation of single-cell RNA sequencing (scRNA-seq) technologies has coincided with transformative new methods to profile genetic, epigenetic, spatial, proteomic …
Patients with systemic lupus erythematosus (SLE) display a complex blood transcriptome whose cellular origin is poorly resolved. Using single-cell RNA sequencing, we profiled …
B Hwang, JH Lee, D Bang - Experimental & molecular medicine, 2018 - nature.com
Rapid progress in the development of next-generation sequencing (NGS) technologies in recent years has provided many valuable insights into complex biological systems, ranging …
X Han, R Wang, Y Zhou, L Fei, H Sun, S Lai… - Cell, 2018 - cell.com
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 …
To facilitate scalable profiling of single cells, we developed split-pool ligation-based transcriptome sequencing (SPLiT-seq), a single-cell RNA-seq (scRNA-seq) method that …