The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression
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
fastp: an ultra-fast all-in-one FASTQ preprocessor
Chen, S., Zhou, Y., Chen, Y., & Gu, J. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty560 · Cited by 29,721
Self-citationIntegrating 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
Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
Ferlay, J., Colombet, M., Soerjomataram, I., Mathers, C., Parkin, D. M., Piñeros, M., Znaor, A., & Bray, F. (2019) · International Journal of Cancer · doi:10.1002/ijc.31937 · Cited by 7,553
Trapnell, C., Cacchiarelli, D., Grimsby, J., Pokharel, P., Li, S., Morse, M., Lennon, N. J., Livak, K. J., Mikkelsen, T. S., & Rinn, J. L. (2014) · Nature Biotechnology · doi:10.1038/nbt.2859 · Cited by 7,314
Scenic: single-cell regulatory network inference and clustering.
Aibar, S., González-Blas, C. B., Moerman, T., Huynh-Thu, V. A., Imrichova, H., Hulselmans, G., Rambow, F., Marine, J.-C., Geurts, P., Aerts, J., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4463 · Cited by 6,520
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
Tirosh, I., Izar, B., Prakadan, S. M., Wadsworth, M. H., Treacy, D., Trombetta, J. J., Rotem, A., Rodman, C., Lian, C., Murphy, G., et al. (2016) · Science · doi:10.1126/science.aad0501 · Cited by 4,944
The single-cell transcriptional landscape of mammalian organogenesis
Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0969-x · Cited by 4,490
Integrative Genomic Profiling of Human Prostate Cancer
Taylor, B. S., Schultz, N., Hieronymus, H., Gopalan, A., Xiao, Y., Carver, B. S., Arora, V. K., Kaushik, P., Cerami, E., Reva, B., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.05.026 · Cited by 3,701
Self-citationGEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor
Davis, S., & Meltzer, P. S. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm254 · Cited by 3,303
Reassessment of exosome composition
Jeppesen, D. K., Fenix, A. M., Franklin, J. L., Higginbotham, J. N., Zhang, Q., Zimmerman, L. J., Liebler, D. C., Ping, J., Liu, Q., Evans, R., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.029 · Cited by 2,975
Cited by
Clinical and therapeutic relevance of cancer-associated fibroblasts
Chen, Y., McAndrews, K. M., & Kalluri, R. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00546-5 · Cited by 1,230
Cancer-associated fibroblasts in the single-cell era
Lavie, D., Ben-Shmuel, A., Erez, N., & Scherz-Shouval, R. (2022) · Nature Cancer · doi:10.1038/s43018-022-00411-z · Cited by 616
Luo, H., Xia, X., Huang, L.-B., An, H., Cao, M., Kim, G. D., Chen, H.-N., Zhang, W.-H., Shu, Y., Kong, X., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34395-2 · Cited by 567
Self-citationFOXA2 drives lineage plasticity and KIT pathway activation in neuroendocrine prostate cancer
Han, M., Li, F., Zhang, Y., Dai, P., He, J., Li, Y., Zhu, Y., Zheng, J., Huang, H., Bai, F., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.10.011 · Cited by 166
Self-citationShaashua, L., Ben-Shmuel, A., Pevsner-Fischer, M., Friedman, G., Levi-Galibov, O., Nandakumar, S., Barki, D., Nevo, R., Brown, L. E., Zhang, W., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34081-3 · Cited by 79
Metadata
- Authors
- Chen, S., Zhu, G., Yang, Y., Wang, F., Xiao, Y.-T., Zhang, N., Bian, X., Zhu, Y., Yu, Y., Liu, F., Dong, K., Mariscal, J., Liu, Y., Soares, F., Loo Yau, H., Zhang, B., Chen, W., Wang, C., Chen, D., Guo, Q., Yi, Z., Liu, M., Fraser, M., De Carvalho, D. D., Boutros, P. C., Di Vizio, D., Jiang, Z., van der Kwast, T., Berlin, A., Wu, S., Wang, J., He, H. H., & Ren, S.
- Venue
- Nature Cell Biology
- Published
- 2021-01
- Volume
- 23
- Issue
- 1
- Pages
- 87-98
- ISSN
- 1465-7392 (ISSN-L)
- 1476-4679
- OpenAlex
- W3120827191
- Cited by
- 502
- References
- 64
- FWCI
- 53.33
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression. https://app.cochat.ai/papers/10.1038/s41556-020-00613-6
- The paper
- Chen, S., Zhu, G., Yang, Y., Wang, F., Xiao, Y.-T., Zhang, N., Bian, X., Zhu, Y., Yu, Y., Liu, F., Dong, K., Mariscal, J., Liu, Y., Soares, F., Loo Yau, H., Zhang, B., Chen, W., Wang, C., Chen, D., . . . Ren, S. (2021). Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression. Nature Cell Biology. https://doi.org/10.1038/s41556-020-00613-6
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.
