Comprehensive Integration of Single-Cell Transcriptomic Data

Displaying 51 - 63 of 63CSV
Cosacak, M. I., Bhattarai, P., De Jager, P. L., Menon, V., Tosto, G., & Kizil, C. (2022). Single Cell/Nucleus Transcriptomics Comparison in Zebrafish and Humans Reveals Common and Distinct Molecular Responses to Alzheimer’s Disease. Cells, 11(11), 1807. https://doi.org/10.3390/cells11111807
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Varn, F. S., Johnson, K. C., Martinek, J., Huse, J. T., Nasrallah, M. P., Wesseling, P., Cooper, L. A. D., Malta, T. M., Wade, T. E., Sabedot, T. S., Brat, D., Gould, P. V., Wöehrer, A., Aldape, K., Ismail, A., Sivajothi, S. K., Barthel, F. P., Kim, H., Kocakavuk, E., … Verhaak, R. GW. (2022). Glioma progression is shaped by genetic evolution and microenvironment interactions. Cell, 185(12), 2184-2199.e16. https://doi.org/10.1016/j.cell.2022.04.038
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Fernández, E. C., Wang, J., Griffin, A., Minns, H., Wei, H.-J., Zhang, X., Szalontay, L., Mundi, P., Wu, C.-C., Gartrell, R., Zacharoulis, S., Califano, A., & Pavisic, J. (2022). DIPG-57. A systems biology approach to defining and targeting master regulator dependencies from bulk and single-Cell RNA-seq in diffuse midline glioma (DMG). Neuro-Oncology, 24(Supplement_1), i31–i32. https://doi.org/10.1093/neuonc/noac079.114
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Obradovic, A., Graves, D., Korrer, M., Wang, Y., Roy, S., Naveed, A., Xu, Y., Luginbuhl, A., Curry, J., Gibson, M., Idrees, K., Hurley, P., Jiang, P., Liu, X. S., Uppaluri, R., Drake, C. G., Califano, A., & Kim, Y. J. (2022). Immunostimulatory Cancer-Associated Fibroblast Subpopulations Can Predict Immunotherapy Response in Head and Neck Cancer. Clinical Cancer Research, 28(10), 2094–2109. https://doi.org/10.1158/1078-0432.ccr-21-3570
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Domínguez Conde, C., Xu, C., Jarvis, L. B., Rainbow, D. B., Wells, S. B., Gomes, T., Howlett, S. K., Suchanek, O., Polanski, K., King, H. W., Mamanova, L., Huang, N., Szabo, P. A., Richardson, L., Bolt, L., Fasouli, E. S., Mahbubani, K. T., Prete, M., Tuck, L., … Teichmann, S. A. (2022). Cross-tissue immune cell analysis reveals tissue-specific features in humans. Science, 376(6594). https://doi.org/10.1126/science.abl5197
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Li, Z., Wang, D., Liao, H., Zhang, S., Guo, W., Chen, L., Lu, L., Huang, T., & Cai, Y.-D. (2022). Exploring the Genomic Patterns in Human and Mouse Cerebellums Via Single-Cell Sequencing and Machine Learning Method. Frontiers in Genetics, 13. https://doi.org/10.3389/fgene.2022.857851
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Maurits, M. P., Korsunsky, I., Raychaudhuri, S., Murphy, S. N., Smoller, J. W., Weiss, S. T., Petukhova, L. M., Weng, C., Wei, W.-Q., Huizinga, T. W. J., Reinders, M. J. T., Karlson, E. W., van den Akker, E. B., & Knevel, R. (2022). A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history. Journal of the American Medical Informatics Association, 29(5), 761–769. https://doi.org/10.1093/jamia/ocac008
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Ma, W. F., Hodonsky, C. J., Turner, A. W., Wong, D., Song, Y., Mosquera, J. V., Ligay, A. V., Slenders, L., Gancayco, C., Pan, H., Barrientos, N. B., Mai, D., Alencar, G. F., Owsiany, K., Owens, G. K., Reilly, M. P., Li, M., Pasterkamp, G., Mokry, M., … Miller, C. L. (2022). Enhanced single-cell RNA-seq workflow reveals coronary artery disease cellular cross-talk and candidate drug targets. Atherosclerosis, 340, 12–22. https://doi.org/10.1016/j.atherosclerosis.2021.11.025
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Pauli, J., Wu, Z., Yokota, C., Winski, G., Paloschi, V., Dueck, A., Engelhardt, S., Eckstein, H.-H., Reilly, M. P., & Maegdefessel, L. (2022). Single-cell and Spatially Resolved Transcriptome Analysis Reveals Cellular Heterogeneities and Novel Regulators of Atherosclerotic Plaque Destabilization. JVS-Vascular Science, 3, 413–414. https://doi.org/10.1016/j.jvssci.2022.05.025
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Grancharova, T., Gerbin, K. A., Rosenberg, A. B., Roco, C. M., Arakaki, J. E., DeLizo, C. M., Dinh, S. Q., Donovan-Maiye, R. M., Hirano, M., Nelson, A. M., Tang, J., Theriot, J. A., Yan, C., Menon, V., Palecek, S. P., Seelig, G., & Gunawardane, R. N. (2021). A comprehensive analysis of gene expression changes in a high replicate and open-source dataset of differentiating hiPSC-derived cardiomyocytes. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-94732-1
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Rivas, M. A., Durmaz, C., Kloetgen, A., Chin, C. R., Chen, Z., Bhinder, B., Koren, A., Viny, A. D., Scharer, C. D., Boss, J. M., Elemento, O., Mason, C. E., & Melnick, A. M. (2021). Cohesin Core Complex Gene Dosage Contributes to Germinal Center Derived Lymphoma Phenotypes and Outcomes. Frontiers in Immunology, 12. https://doi.org/10.3389/fimmu.2021.688493
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Bakken, T. E., van Velthoven, C. T., Menon, V., Hodge, R. D., Yao, Z., Nguyen, T. N., Graybuck, L. T., Horwitz, G. D., Bertagnolli, D., Goldy, J., Yanny, A. M., Garren, E., Parry, S., Casper, T., Shehata, S. I., Barkan, E. R., Szafer, A., Levi, B. P., Dee, N., … Tasic, B. (2021). Single-cell and single-nucleus RNA-seq uncovers shared and distinct axes of variation in dorsal LGN neurons in mice, non-human primates, and humans. ELife, 10. CLOCKSS. https://doi.org/10.7554/elife.64875
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