The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Mixed-effects association of single cells identifies an expanded effector CD4 + T cell subset in rheumatoid arthritis
Open accessAbstract
Mixed-effects regression of single-cell data accounts for confounding variation and reveals an expanded CD4 + T cell population in rheumatoid arthritis.
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Cites
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Near-optimal probabilistic RNA-seq quantification
Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016) · Nature Biotechnology · doi:10.1038/nbt.3519 · Cited by 9,723
Genetics of rheumatoid arthritis contributes to biology and drug discovery
the RACI consortium, Okada, Y., the GARNET consortium, Wu, D., Trynka, G., Raj, T., Terao, C., Ikari, K., Kochi, Y., Ohmura, K., et al. (2014) · Nature · doi:10.1038/nature12873 · Cited by 2,310
Self-citationBendall, S. C., Simonds, E. F., Qiu, P., Amir, E.-A. D., Krutzik, P. O., Finck, R., Bruggner, R. V., Melamed, R., Trejo, A., Ornatsky, O. I., et al. (2011) · Science · doi:10.1126/science.1198704 · Cited by 2,279
Pathologically expanded peripheral T helper cell subset drives B cells in rheumatoid arthritis
Rao, D. A., Gurish, M. F., Marshall, J. L., Slowikowski, K., Fonseka, C. Y., Liu, Y., Donlin, L. T., Henderson, L. A., Wei, K., Mizoguchi, F., et al. (2017) · Nature · doi:10.1038/nature20810 · Cited by 1,125
Self-citationBendall, S. C., Davis, K. L., Amir, E.-A. D., Tadmor, M. D., Simonds, E. F., Chen, T. J., Shenfeld, D. K., Nolan, G. P., & Pe’er, D. (2014) · Cell · doi:10.1016/j.cell.2014.04.005 · Cited by 906
Multiplexed quantification of proteins and transcripts in single cells
Peterson, V. M., Zhang, K. X., Kumar, N., Wong, J., Li, L., Wilson, D. C., Moore, R., McClanahan, T. K., Sadekova, S., & Klappenbach, J. A. (2017) · Nature Biotechnology · doi:10.1038/nbt.3973 · Cited by 832
Wishbone identifies bifurcating developmental trajectories from single-cell data
Setty, M., Tadmor, M. D., Reich-Zeliger, S., Angel, O., Salame, T. M., Kathail, P., Choi, K., Bendall, S., Friedman, N., & Pe'er, D. (2016) · Nature Biotechnology · doi:10.1038/nbt.3569 · Cited by 558
Precursors of human CD4 + cytotoxic T lymphocytes identified by single-cell transcriptome analysis
Patil, V. S., Madrigal, A., Schmiedel, B. J., Clarke, J., O’Rourke, P., de Silva, A. D., Harris, E., Peters, B., Seumois, G., Weiskopf, D., et al. (2018) · Science Immunology · doi:10.1126/sciimmunol.aan8664 · Cited by 262
Cheng, Y., Wong, M. T., van der Maaten, L., & Newell, E. W. (2016) · The Journal of Immunology · doi:10.4049/jimmunol.1501928 · Cited by 67
Cited by
Kamath, T., Abdulraouf, A., Burris, S. J., Langlieb, J., Gazestani, V., Nadaf, N. M., Balderrama, K., Vanderburg, C., & Macosko, E. Z. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01061-1 · Cited by 552
Crowell, H. L., Soneson, C., Germain, P.-L., Calini, D., Collin, L., Raposo, C., Malhotra, D., & Robinson, M. D. (2020) · Nature Communications · doi:10.1038/s41467-020-19894-4 · Cited by 515
Autism genes converge on asynchronous development of shared neuron classes
Paulsen, B., Velasco, S., Kedaigle, A. J., Pigoni, M., Quadrato, G., Deo, A. J., Adiconis, X., Uzquiano, A., Sartore, R., Yang, S. M., et al. (2022) · Nature · doi:10.1038/s41586-021-04358-6 · Cited by 439
Early Alzheimer’s disease pathology in human cortex involves transient cell states
Gazestani, V., Kamath, T., Nadaf, N. M., Dougalis, A., Burris, S. J., Rooney, B., Junkkari, A., Vanderburg, C., Pelkonen, A., Gomez-Budia, M., et al. (2023) · Cell · doi:10.1016/j.cell.2023.08.005 · Cited by 209
Single-cell genomics meets human genetics
Cuomo, A. S. E., Nathan, A., Raychaudhuri, S., MacArthur, D. G., & Powell, J. E. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00599-5 · Cited by 124
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Metadata
- Authors
- Fonseka, C. Y., Rao, D. A., Teslovich, N. C., Korsunsky, I., Hannes, S. K., Slowikowski, K., Gurish, M. F., Donlin, L. T., Lederer, J. A., Weinblatt, M. E., Massarotti, E. M., Coblyn, J. S., Helfgott, S. M., Todd, D. J., Bykerk, V. P., Karlson, E. W., Ermann, J., Lee, Y. C., Brenner, M. B., & Raychaudhuri, S.
- Venue
- Science Translational Medicine
- Published
- 2018-10-17
- Volume
- 10
- Issue
- 463
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- OpenAlex
- W2896246287
- Cited by
- 177
- References
- 10
- FWCI
- 13.21
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Mixed-effects association of single cells identifies an expanded effector CD4 + T cell subset in rheumatoid arthritis. https://app.cochat.ai/papers/10.1126/scitranslmed.aaq0305
- The paper
- Fonseka, C. Y., Rao, D. A., Teslovich, N. C., Korsunsky, I., Hannes, S. K., Slowikowski, K., Gurish, M. F., Donlin, L. T., Lederer, J. A., Weinblatt, M. E., Massarotti, E. M., Coblyn, J. S., Helfgott, S. M., Todd, D. J., Bykerk, V. P., Karlson, E. W., Ermann, J., Lee, Y. C., Brenner, M. B., & Raychaudhuri, S. (2018). Mixed-effects association of single cells identifies an expanded effector CD4 + T cell subset in rheumatoid arthritis. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.aaq0305
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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.
