chicken_heart
Cited by: 30
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Update date: 2021-03-21

Description

Single-cell RNA sequencing is a powerful tool to study developmental biology but does not preserve spatial information about tissue morphology and cellular interactions. Here, we combine single-cell and spatial transcriptomics with algorithms for data integration to study the development of the chicken heart from the early to late four-chambered heart stage. We create a census of the diverse cellular lineages in developing hearts, their spatial organization, and their interactions during development. Spatial mapping of differentiation transitions in cardiac lineages defines transcriptional differences between epithelial and mesenchymal cells within the epicardial lineage. Using spatially resolved expression analysis, we identify anatomically restricted expression programs, including expression of genes implicated in congenital heart disease. Last, we discover a persistent enrichment of the small, secreted peptide, thymosin beta-4, throughout coronary vascular development. Overall, our study identifies an intricate interplay between cellular differentiation and morphogenesis.

Keywords

Spatial Transcriptomics

Related


1

Spatiotemporal single-cell RNA sequencing of developing chicken hearts identifies interplay between cellular differentiation and morphogenesis.

Authors: Mantri, Madhav; Scuderi, Gaetano J; Abedini-Nassab, Roozbeh; Wang, Michael F Z; McKellar, David; Shi, Hao; Grodner, Benjamin; Butcher, Jonathan T; De Vlaminck, Iwijn
Journal: Nat Commun,2021/03/19;12(1):1771.
Keywords:Spatial Transcriptomics
IF: 17.694
Cited by: 85

2

Clustering spatial transcriptomics data.

Authors: Teng, Haotian; Yuan, Ye; Bar-Joseph, Ziv
Journal: Bioinformatics,2022/01/27;38(4):997-1004.
Keywords:Spatial Transcriptomics
IF: 0
Cited by: 20

3

3D-cardiomics: A spatial transcriptional atlas of the mammalian heart.

Authors: Mohenska, Monika; Tan, Nathalia M; Tokolyi, Alex; Furtado, Milena B; Costa, Mauro W; Perry, Andrew J; Hatwell-Humble, Jessica; van Duijvenboden, Karel; Nim, Hieu T; Ji, Yuan M M; Charitakis, Natalie; Bienroth, Denis; Bolk, Francesca; Vivien, Celine; Knaupp, Anja S; ...More
Journal: J Mol Cell Cardiol,2021/10/05;163:20-32.
Keywords:Spatial Transcriptomics; 3D organ; Bioinformatics; Cardiac model; Cardiac systems; Data visualization; Spatial transcriptomics; Systems biology
IF: 5.763
Cited by: 12

4

Epicardial Contribution to the Developing and Injured Heart: Exploring the Cellular Composition of the Epicardium.

Authors: Streef, Thomas J; Smits, Anke M
Journal: Front Cardiovasc Med,2021;8:750243.
Keywords:smFISH; Spatial Transcriptomics; ISS; Spatial Temporal Transcriptomics; cardiac repair; development; epicardium; heterogeneity; single-cell RNA sequencing
IF: 5.846
Cited by: 13

5

Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration.

Authors: McKellar, David W; Walter, Lauren D; Song, Leo T; Mantri, Madhav; Wang, Michael F Z; De Vlaminck, Iwijn; Cosgrove, Benjamin D
Journal: Commun Biol,2021/11/12;4(1):1280.
Keywords:Spatial Transcriptomics; Spatial Temporal Transcriptomics
IF: 6.548
Cited by: 67

6

Characterizing Neonatal Heart Maturation, Regeneration, and Scar Resolution Using Spatial Transcriptomics.

Authors: Misra, Adwiteeya; Baker, Cameron D; Pritchett, Elizabeth M; Burgos Villar, Kimberly N; Ashton, John M; Small, Eric M
Journal: J Cardiovasc Dev Dis,2021/12/21;9(1)
Keywords:Spatial Transcriptomics; fibroblast; heart; mouse; regeneration; scar; spatial transcriptomics
IF: 4.415
Cited by: 8

7

Towards Tabula Gallus.

Authors: Yamagata, Masahito
Journal: Int J Mol Sci,2022/1/06;23(2)
Keywords:MERFISH; Slide-seq; Spatial Transcriptomics; seqFISH+; Gallus gallus; antibodies; bioimaging; birds; cell atlas; chicken; embryology; evolution; single-cell RNA sequencing; transcriptome
IF: 6.208
Cited by: 2

8

Clinical and translational values of spatial transcriptomics.

Authors: Zhang, Linlin; Chen, Dongsheng; Song, Dongli; Liu, Xiaoxia; Zhang, Yanan; Xu, Xun; Wang, Xiangdong
Journal: Signal Transduct Target Ther,2022/04/01;7(1):111.
Keywords:Spatial Transcriptomics
IF: 38.104
Cited by: 34

Tool types

Cell-Cell Interactions
Co-localization or Gene-Gene Interactions
Exploratory Data Analysis

Languages

R