Effects of Sample Size on Plant Single-Cell RNA Profiling.
Effects of Sample Size on Plant Single-Cell RNA Profiling.
复制标题
DOI:
10.3390/cimb43030119
复制
发表时间:
2021-10-20
影响因子:
3.1
通讯作者:
Guo L
中科院分区:
文献类型:
--
作者:
Chen H;Lv Y;Yin X;Chen X;Chu Q;Zhu QH;Fan L;Guo L
Single-cell RNA (scRNA) profiling or scRNA-sequencing (scRNA-seq) makes it possible to parallelly investigate diverse molecular features of multiple types of cells in a given plant tissue and discover cell developmental processes. In this study, we evaluated the effects of sample size (i.e., cell number) on the outcome of single-cell transcriptome analysis by sampling different numbers of cells from a pool of ~57,000 Arabidopsis thaliana root cells integrated from five published studies. Our results indicated that the most significant principal components could be achieved when 20,000–30,000 cells were sampled, a relatively high reliability of cell clustering could be achieved by using ~20,000 cells with little further improvement by using more cells, 96% of the differentially expressed genes could be successfully identified with no more than 20,000 cells, and a relatively stable pseudotime could be estimated in the subsample with 5000 cells. Finally, our results provide a general guide for optimizing sample size to be used in plant scRNA-seq studies.
登录
查看更多内容
影响因子:
12.3
作者:
Efroni I;Ip PL;Nawy T;Mello A;Birnbaum KD
通讯作者:
Birnbaum KD
DOI:
10.1515/sagmb-2019-0004
发表时间:
2019-10-01
影响因子:
0.9
作者:
Suner, Asli
通讯作者:
Suner, Asli
影响因子:
16.6
作者:
Jindal A;Gupta P;Jayadeva;Sengupta D
通讯作者:
Sengupta D
DOI:
10.1073/pnas.2018788117
发表时间:
2020-12-29
影响因子:
11.1
作者:
Satterlee JW;Strable J;Scanlon MJ
通讯作者:
Scanlon MJ
影响因子:
3
作者:
Dong, Rui;Yuan, Guo-Cheng
通讯作者:
Yuan, Guo-Cheng