The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Single-Cell Transcriptional Profiling Reveals Cellular Diversity and Intercommunication in the Mouse Heart
Open accessAbstract
Characterization of the cardiac cellulome, the network of cells that form the heart, is essential for understanding cardiac development and normal organ function and for formulating precise therapeutic strategies to combat heart disease. Recent studies have reshaped our understanding of cardiac cellular composition and highlighted important functional roles for non-myocyte cell types. In this study, we characterized single-cell transcriptional profiles of the murine non-myocyte cardiac cellular landscape using single-cell RNA sequencing (scRNA-seq). Detailed molecular analyses revealed the diversity of the cardiac cellulome and facilitated the development of techniques to isolate understudied cardiac cell populations, such as mural cells and glia. Our analyses also revealed extensive networks of intercellular communication and suggested prevalent sexual dimorphism in gene expression in the heart. This study offers insights into the structure and function of the mammalian cardiac cellulome and provides an important resource that will stimulate studies in cardiac cell biology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Integrated analysis of single cell transcriptomic data across conditions, technologies, and species
Butler, A., & Satija, R. (2017) · doi:10.1101/164889 · Cited by 13,200 · cited 2×
“To identify distinct cell populations based on shared and unique patterns of gene expression, we performed dimensionality reduction and unsupervised cell clustering using methods implemented in the Seurat software suite (Experimental Procedures; Butler and Satija, 2017; Macosko et al., 2015).”
InfluentialIntegrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.
Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110
A robust and high-throughput Cre reporting and characterization system for the whole mouse brain
Madisen, L., Zwingman, T. A., Sunkin, S. M., Oh, S. W., Zariwala, H. A., Gu, H., Ng, L. L., Palmiter, R. D., Hawrylycz, M. J., Jones, A. R., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2467 · Cited by 6,907
Pericytes: Developmental, Physiological, and Pathological Perspectives, Problems, and Promises
Armulik, A., Genové, G., & Betsholtz, C. (2011) · Developmental Cell · doi:10.1016/j.devcel.2011.07.001 · Cited by 2,653
Conditional gene targeting in macrophages and granulocytes using LysMcre mice
Clausen, B. E., Burkhardt, C., Reith, W., Renkawitz, R., & Förster, I. (1999) · Transgenic Research · doi:10.1023/a:1008942828960 · Cited by 2,098
the Immunological Genome Consortium, Gautier, E. L., Shay, T., Miller, J., Greter, M., Jakubzick, C., Ivanov, S., Helft, J., Chow, A., Elpek, K. G., et al. (2012) · Nature Immunology · doi:10.1038/ni.2419 · Cited by 1,972 · cited 2×
“The clusters comprised endothelial cells (Cdh5, Pecam1; Breviario et al., 1995; Newman et al., 1990), fibroblasts (2 clusters; Cola1, Pdgfra, Tcf21; Acharya et al., 2012; Ivey and Tallquist, 2016), granulocytes (Ccr1, Csf3r, S100a9; Bonecchi et al., 1999; Panopoulos and Watowich, 2008; Ryckman et al., 2003), lymphocyt…”
Geijtenbeek, T. B. H., Torensma, R., van Vliet, S. J., van Duijnhoven, G. C. F., Adema, G. J., van Kooyk, Y., & Figdor, C. G. (2000) · Cell · doi:10.1016/s0092-8674(00)80693-5 · Cited by 1,700
The biology of innate lymphoid cells
Artis, D., & Spits, H. (2015) · Nature · doi:10.1038/nature14189 · Cited by 1,634
Epelman, S., Lavine, K. J., Beaudin, A. E., Sojka, D. K., Carrero, J. A., Calderon, B., Brija, T., Gautier, E. L., Ivanov, S., Satpathy, A. T., et al. (2014) · Immunity · doi:10.1016/j.immuni.2013.11.019 · Cited by 1,494
Revisiting Cardiac Cellular Composition
Pinto, A. R., Ilinykh, A., Ivey, M. J., Kuwabara, J. T., D’Antoni, M. L., Debuque, R., Chandran, A., Wang, L., Arora, K., Rosenthal, N. A., et al. (2016) · Circulation Research · doi:10.1161/circresaha.115.307778 · Cited by 1,400 · cited 11×
“Lymphatic endothelial cells expressing Prox1 and Pdpn were also absent from the artificially reduced endothelial population, but these cells normally comprise only 3% of total non-myocytes (Pinto et al., 2016).”
InfluentialSelf-citationSingle-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations
van den Brink, S. C., Sage, F., Vértesy, Á., Spanjaard, B., Peterson-Maduro, J., Baron, C. S., Robin, C., & van Oudenaarden, A. (2017) · Nature Methods · doi:10.1038/nmeth.4437 · Cited by 1,072
Macrophages Facilitate Electrical Conduction in the Heart
Hulsmans, M., Clauss, S., Xiao, L., Aguirre, A. D., King, K. R., Hanley, A., Hucker, W. J., Wülfers, E. M., Seemann, G., Courties, G., et al. (2017) · Cell · doi:10.1016/j.cell.2017.03.050 · Cited by 1,011
Biological Roles of Fibroblast Growth Factor-2*
Bikfalvi, A., Klein, S., Pintucci, G., & Rifkin, D. B. (1997) · Endocrine Reviews · doi:10.1210/edrv.18.1.0292 · Cited by 959
PECAM-1 (CD31) Cloning and Relation to Adhesion Molecules of the Immunoglobulin Gene Superfamily
Newman, P. J., Berndt, M. C., Gorski, J., White, G. C., Lyman, S., Paddock, C., & Muller, W. A. (1990) · Science · doi:10.1126/science.1690453 · Cited by 950
Endothelial-Mural Cell Signaling in Vascular Development and Angiogenesis
Gaengel, K., Genové, G., Armulik, A., & Betsholtz, C. (2009) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.107.161521 · Cited by 933
Regulation and characteristics of vascular smooth muscle cell phenotypic diversity
Rensen, S. S. M., Doevendans, P. A. F. M., & van Eys, G. J. J. M. (2007) · Netherlands Heart Journal · doi:10.1007/bf03085963 · Cited by 916
A draft network of ligand–receptor-mediated multicellular signalling in human
Ramilowski, J. A., Goldberg, T., Harshbarger, J., Kloppmann, E., Lizio, M., Satagopam, V. P., Itoh, M., Kawaji, H., Carninci, P., Rost, B., et al. (2015) · Nature Communications · doi:10.1038/ncomms8866 · Cited by 887
Ryckman, C., Vandal, K., Rouleau, P., Talbot, M., & Tessier, P. A. (2003) · The Journal of Immunology · doi:10.4049/jimmunol.170.6.3233 · Cited by 858
Hughes, E. G., Kang, S. H., Fukaya, M., & Bergles, D. E. (2013) · Nature Neuroscience · doi:10.1038/nn.3390 · Cited by 808
VEGFs and receptors involved in angiogenesis versus lymphangiogenesis
Lohela, M., Bry, M., Tammela, T., & Alitalo, K. (2009) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2008.12.012 · Cited by 738
Ruffell, D., Mourkioti, F., Gambardella, A., Kirstetter, P., Lopez, R. G., Rosenthal, N., & Nerlov, C. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908641106 · Cited by 626
Self-citationAcharya, A., Baek, S. T., Huang, G., Eskiocak, B., Goetsch, S., Sung, C. Y., Banfi, S., Sauer, M. F., Olsen, G. S., Duffield, J. S., et al. (2012) · Development · doi:10.1242/dev.079970 · Cited by 498 · cited 3×
“The clusters comprised endothelial cells (Cdh5, Pecam1; Breviario et al., 1995; Newman et al., 1990), fibroblasts (2 clusters; Cola1, Pdgfra, Tcf21; Acharya et al., 2012; Ivey and Tallquist, 2016), granulocytes (Ccr1, Csf3r, S100a9; Bonecchi et al., 1999; Panopoulos and Watowich, 2008; Ryckman et al., 2003), lymphocyt…”
Evolutionary Divergence of Platelet-Derived Growth Factor Alpha Receptor Signaling Mechanisms
Hamilton, T. G., Klinghoffer, R. A., Corrin, P. D., & Soriano, P. (2003) · Molecular and Cellular Biology · doi:10.1128/mcb.23.11.4013-4025.2003 · Cited by 434
Pilling, D., Fan, T., Huang, D., Kaul, B., & Gomer, R. H. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007475 · Cited by 433
Fibrocytes: emerging effector cells in chronic inflammation
Reilkoff, R. A., Bucala, R., & Herzog, E. L. (2011) · Nature Reviews Immunology · doi:10.1038/nri2990 · Cited by 430
Cellular Taxonomy of the Mouse Striatum as Revealed by Single-Cell RNA-Seq
Gokce, O., Stanley, G. M., Treutlein, B., Neff, N. F., Camp, J. G., Malenka, R. C., Rothwell, P. E., Fuccillo, M. V., Südhof, T. C., & Quake, S. R. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.06.059 · Cited by 430
Single-Cell Resolution of Temporal Gene Expression during Heart Development
DeLaughter, D. M., Bick, A. G., Wakimoto, H., McKean, D., Gorham, J. M., Kathiriya, I. S., Hinson, J. T., Homsy, J., Gray, J., Pu, W., et al. (2016) · Developmental Cell · doi:10.1016/j.devcel.2016.10.001 · Cited by 423
Kovacic, J. C., Mercader, N., Torres, M., Boehm, M., & Fuster, V. (2012) · Circulation · doi:10.1161/circulationaha.111.040352 · Cited by 399
Data exploration, quality control and testing in single-cell qPCR-based gene expression experiments
McDavid, A., Finak, G., Chattopadyay, P. K., Dominguez, M., Lamoreaux, L., Ma, S. S., Roederer, M., & Gottardo, R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts714 · Cited by 395
Panopoulos, A. D., & Watowich, S. S. (2008) · Cytokine · doi:10.1016/j.cyto.2008.03.002 · Cited by 394
CD20 deficiency in humans results in impaired T cell–independent antibody responses
Kuijpers, T. W., Bende, R. J., Baars, P. A., Grummels, A., Derks, I. A. M., Dolman, K. M., Beaumont, T., Tedder, T. F., van Noesel, C. J. M., Eldering, E., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci40231 · Cited by 375
Pinto, A. R., Paolicelli, R., Salimova, E., Gospocic, J., Slonimsky, E., Bilbao-Cortes, D., Godwin, J. W., & Rosenthal, N. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036814 · Cited by 318
Self-citationInducible site‐specific recombination in myelinating cells
Doerflinger, N. H., Macklin, W. B., & Popko, B. (2003) · genesis · doi:10.1002/gene.10154 · Cited by 300
Macrophage-dependent IL-1β production induces cardiac arrhythmias in diabetic mice
Monnerat, G., Alarcón, M. L., Vasconcellos, L. R., Hochman-Mendez, C., Brasil, G., Bassani, R. A., Casis, O., Malan, D., Travassos, L. H., Sepúlveda, M., et al. (2016) · Nature Communications · doi:10.1038/ncomms13344 · Cited by 279
Breviario, F., Caveda, L., Corada, M., Martin-Padura, I., Navarro, P., Golay, J., Introna, M., Gulino, D., Lampugnani, M. G., & Dejana, E. (1995) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.15.8.1229 · Cited by 275
Langlais, D., Barreiro, L. B., & Gros, P. (2016) · Journal of Experimental Medicine · doi:10.1084/jem.20151764 · Cited by 256
Defining the Cardiac Fibroblast
Ivey, M. J., & Tallquist, M. D. (2016) · Circulation Journal · doi:10.1253/circj.cj-16-1003 · Cited by 255
Conway, J. G., McDonald, B., Parham, J., Keith, B., Rusnak, D. W., Shaw, E., Jansen, M., Lin, P., Payne, A., Crosby, R. M., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502000102 · Cited by 247
Analysis of the brain mural cell transcriptome
He, L., Vanlandewijck, M., Raschperger, E., Andaloussi Mäe, M., Jung, B., Lebouvier, T., Ando, K., Hofmann, J., Keller, A., & Betsholtz, C. (2016) · Scientific Reports · doi:10.1038/srep35108 · Cited by 233
Heterogeneous Requirement of NGF for Sympathetic Target Innervation In Vivo
Glebova, N. O., & Ginty, D. D. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4523-03.2004 · Cited by 231
Cardiogenic Genes Expressed in Cardiac Fibroblasts Contribute to Heart Development and Repair
Furtado, M. B., Costa, M. W., Pranoto, E. A., Salimova, E., Pinto, A. R., Lam, N. T., Park, A., Snider, P., Chandran, A., Harvey, R. P., et al. (2014) · Circulation Research · doi:10.1161/circresaha.114.302530 · Cited by 214
Self-citationThe Importance of Biological Sex and Estrogen in Rodent Models of Cardiovascular Health and Disease
Blenck, C. L., Harvey, P. A., Reckelhoff, J. F., & Leinwand, L. A. (2016) · Circulation Research · doi:10.1161/circresaha.116.307509 · Cited by 214
(1999) · PubMed · Cited by 207
Endothelial cells and the IGF system
Bach, L. A. (2015) · Journal of Molecular Endocrinology · doi:10.1530/jme-14-0215 · Cited by 196
Bonecchi, R., Polentarutti, N., Luini, W., Borsatti, A., Bernasconi, S., Locati, M., Power, C., Proudfoot, A., Wells, T. N. C., Mackay, C., et al. (1999) · The Journal of Immunology · doi:10.4049/jimmunol.162.1.474 · Cited by 187
Eddleston, J., Herschbach, J., Wagelie-Steffen, A. L., Christiansen, S. C., & Zuraw, B. L. (2007) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2006.08.027 · Cited by 171
Functional hierarchy of c-kit and c-fms in intramarrow production of CFU-M.
Sudo, T., Nishikawa, S., Ogawa, M., Kataoka, H., Ohno, N., Izawa, A., Hayashi, S., & Nishikawa, S. (1995) · PubMed · Cited by 167
Similarities in sequences and cellular expression between rat CD2 and CD4 antigens.
Williams, A. F., Barclay, A. N., Clark, S. J., Paterson, D. J., & Willis, A. C. (1987) · The Journal of Experimental Medicine · doi:10.1084/jem.165.2.368 · Cited by 143
Cavasin, M. A., Tao, Z.-Y., Yu, A.-L., & Yang, X.-P. (2005) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.01121.2005 · Cited by 141
Lu, F. Y., Gao, X., Moore, X., Kiriazis, H., Su, Y., Ming, Z., Lim, Y. L., Dart, A. M., & Du, X. (2007) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2007.06.011 · Cited by 140
Regulation of fatty acid synthase gene expression: an approach for reducing fat accumulation
Clarke, S. D. (1993) · Journal of Animal Science · doi:10.2527/1993.7171957x · Cited by 134
GILZ as a Mediator of the Anti-Inflammatory Effects of Glucocorticoids
Ronchetti, S., Migliorati, G., & Riccardi, C. (2015) · Frontiers in Endocrinology · doi:10.3389/fendo.2015.00170 · Cited by 129
Coronary veins determine the pattern of sympathetic innervation in the developing heart
Nam, J., Onitsuka, I., Hatch, J., Uchida, Y., Ray, S., Huang, S., Li, W., Zang, H., Ruiz‐Lozano, P., & Mukouyama, Y. (2013) · Development · doi:10.1242/dev.087601 · Cited by 90
Isolation and analysis of single cells from the mouse heart
Pinto, A. R., Chandran, A. R., Rosenthal, N. A., & Godwin, J. W. (2013) · Journal of Immunological Methods · doi:10.1016/j.jim.2013.03.012 · Cited by 55
Self-citationDeng, Y., Kim, B., He, X., Kim, S.-J., Lu, C., Wang, H., Cho, S., Hou, Y., Li, J., Zhao, X., et al. (2014) · genesis · doi:10.1002/dvg.22751 · Cited by 43
Glucocorticoid receptor and Klf4 co-regulate anti-inflammatory genes in keratinocytes
Sevilla, L. M., Latorre, V., Carceller, E., Boix, J., Vodák, D., Mills, I. G., & Pérez, P. (2015) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2015.05.015 · Cited by 38
The role of GILZ in modulation of adaptive immunity in a murine model of myocardial infarction
Baban, B., Yin, L., Qin, X., Liu, J. Y., Shi, X., & Mozaffari, M. S. (2017) · Experimental and Molecular Pathology · doi:10.1016/j.yexmp.2017.05.002 · Cited by 14
The Role of Cardiac Tissue Macrophages in Homeostasis and Disease
Ilinykh, A., & Pinto, A. R. (2017) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-57613-8_6 · Cited by 10
Self-citation
Cited by
Efremova, M., Vento-Tormo, M., Teichmann, S. A., & Vento-Tormo, R. (2020) · Nature Protocols · doi:10.1038/s41596-020-0292-x · Cited by 3,449
Single-cell reconstruction of the early maternal–fetal interface in humans
Vento-Tormo, R., Efremova, M., Botting, R. A., Turco, M. Y., Vento-Tormo, M., Meyer, K. B., Park, J.-E., Stephenson, E., Polański, K., Goncalves, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0698-6 · Cited by 2,358
Deciphering cell–cell interactions and communication from gene expression
Armingol, E., Officer, A., Harismendy, O., & Lewis, N. E. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-00292-x · Cited by 1,267
Dick, S. A., Wong, A., Hamidzada, H., Nejat, S., Nechanitzky, R., Vohra, S., Mueller, B., Zaman, R., Kantores, C., Aronoff, L., et al. (2022) · Science Immunology · doi:10.1126/sciimmunol.abf7777 · Cited by 538
Transcriptional and Cellular Diversity of the Human Heart
Tucker, N. R., Chaffin, M., Fleming, S. J., Hall, A. W., Parsons, V. A., Bedi, K. C., Akkad, A.-D., Herndon, C. N., Arduini, A., Papangeli, I., et al. (2020) · Circulation · doi:10.1161/circulationaha.119.045401 · Cited by 554
Metadata
- Authors
- Skelly, D. A., Squiers, G. T., McLellan, M. A., Bolisetty, M. T., Robson, P., Rosenthal, N. A., & Pinto, A. R.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 22
- Issue
- 3
- Pages
- 600-610
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W2783252067
- Cited by
- 560
- References
- 59
- FWCI
- 20.33
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
