2021
DOI: 10.1016/j.scib.2021.04.002
|View full text |Cite
|
Sign up to set email alerts
|

Single-cell atlas of domestic pig cerebral cortex and hypothalamus

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
23
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
1
1

Relationship

5
4

Authors

Journals

citations
Cited by 22 publications
(24 citation statements)
references
References 78 publications
0
23
0
Order By: Relevance
“…Fifteen tissues, including nine brain regions, retina, kidney, heart, spleen, liver, and lung, were analyzed by single-nuclei RNA sequencing (snRNA-seq). Among the nine different brain regions, four regions (area postrema, cerebellum, subfornical organ, and the vascular organ of lamina terminalis (OVoLT)) were generated by this study, and the other five brain regions (frontal lobe, hypothalamus, occipital lobe, parietal lobe, and temporal lobe) were from a study we had previously published using snRNA-seq 28 . Both scRNA-seq and snRNA-seq techniques were used for single-cell transcriptome analysis, which had both technical strengths and limitations 31 .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Fifteen tissues, including nine brain regions, retina, kidney, heart, spleen, liver, and lung, were analyzed by single-nuclei RNA sequencing (snRNA-seq). Among the nine different brain regions, four regions (area postrema, cerebellum, subfornical organ, and the vascular organ of lamina terminalis (OVoLT)) were generated by this study, and the other five brain regions (frontal lobe, hypothalamus, occipital lobe, parietal lobe, and temporal lobe) were from a study we had previously published using snRNA-seq 28 . Both scRNA-seq and snRNA-seq techniques were used for single-cell transcriptome analysis, which had both technical strengths and limitations 31 .…”
Section: Resultsmentioning
confidence: 99%
“…Since the completion of the first porcine reference genome, technological breakthroughs in gene editing and cloning allow precise manipulation of the pig genome in living animals 23 25 and applications of pigs in biomedical research have been greatly expanded. Previous scRNA-seq studies in pigs were restricted to a few tissues or a single organ 26 28 . Recently, the pig BodyMap atlas with the conventional bulk RNA-seq method has been reported 29 .…”
Section: Introductionmentioning
confidence: 99%
“…All the literatures of the studies generating the above scRNA-seq datasets were manually confirmed by a group of experienced researchers and all the scRNA-seq dataset were processed with a unified analyzing pipeline (Figure 1B ). Briefly, they are processed with steps composed of both utilities packaged in Seurat v3.0 and in-house scripts according to previously study ( 21 , 22 ). Firstly, we conduct the quality control by filtering out cells with expressed genes <200 and genes those expressed in <1 cell for each dataset.…”
Section: Data Collection and Database Contentmentioning
confidence: 99%
“…Single-cell RNA-seq (scRNA-seq) has been utilized to describe porcine immune cell transcriptomes at granularity unparalleled by bulk RNA-seq or microarray approaches, including in peripheral blood (Herrera-Uribe & Wiarda et al, 2021), lung (Zhang et al, 2021b), skin (Han et al, 2021), brain (Chen et al, 2019; Zhu et al, 2021), and embryos (Kong et al, 2020; Liu et al, 2021; Ramos-Ibeas et al, 2019). Additionally, epithelial cells in the porcine intestine were recently queried via scRNA-seq, and results provide new insight into biological development and epithelial cell functions (Meng et al, 2021).…”
Section: Introductionmentioning
confidence: 99%