Robust enumeration of cell subsets from tissue expression profiles
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The major contributors to plasma miRNA are RBCs and platelets (38%).
“We deconvoluted 85 plasma samples from 30 representative cell types using CIBERSORT [21] and determined the major contributors to plasma miRNA are RBCs and platelets (38%) (Fig. 5E, F).”
From A curated human cellular microRNAome based on 196 primary cell types (2022) · cites this paper as [21]
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Zaitsev, A., Chelushkin, M., Dyikanov, D., Cheremushkin, I., Shpak, B., Nomie, K., Zyrin, V., Nuzhdina, E., Lozinsky, Y., Zotova, A., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.07.006 · Cited by 139 · see citing works
Exploration of databases and methods supporting drug repurposing: a comprehensive survey
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Ligon, J. A., Choi, W., Cojocaru, G., Fu, W., Hsiue, E. H.-C., Oke, T. F., Siegel, N., Fong, M. H., Ladle, B., Pratilas, C. A., et al. (2021) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-001772 · Cited by 124 · see citing works
Barriga, F. M., Tsanov, K. M., Ho, Y.-J., Sohail, N., Zhang, A., Baslan, T., Wuest, A. N., Del Priore, I., Meškauskaitė, B., Livshits, G., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00443-5 · Cited by 125 · see citing works
Subgroup-specific immune and stromal microenvironment in medulloblastoma
Bockmayr, M., Mohme, M., Klauschen, F., Winkler, B., Budczies, J., Rutkowski, S., & Schüller, U. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1462430 · Cited by 121 · see citing works
Human germline heterozygous gain-of-function <i>STAT6</i> variants cause severe allergic disease
Sharma, M., Leung, D., Momenilandi, M., Jones, L. C. W., Pacillo, L., James, A. E., Murrell, J. R., Delafontaine, S., Maimaris, J., Vaseghi-Shanjani, M., et al. (2023) · Journal of Experimental Medicine · doi:10.1084/jem.20221755 · Cited by 125 · see citing works
Decoding the Transcriptional Response to Ischemic Stroke in Young and Aged Mouse Brain
Androvic, P., Kirdajova, D., Tureckova, J., Zucha, D., Rohlova, E., Abaffy, P., Kriska, J., Valny, M., Anderova, M., Kubista, M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107777 · Cited by 118 · see citing works
Kitamura, F., Semba, T., Yasuda-Yoshihara, N., Yamada, K., Nishimura, A., Yamasaki, J., Nagano, O., Yasuda, T., Yonemura, A., Tong, Y., et al. (2023) · JCI Insight · doi:10.1172/jci.insight.163022 · Cited by 121 · see citing works
“By analyzing RNA-sequencing data for PDAC patients in a data set from The Cancer Genome Atlas (TCGA) by CIBERSORT (29), a computational deconvolution algorithm used to predict the immune cell composition from bulk gene expression data, we found that PDAC patients with high LDHA gene expression had fewer CD8 + T cells…”
MethodEffect of CCL5 expression in the recruitment of immune cells in triple negative breast cancer
Araujo, J. M., Gomez, A. C., Aguilar, A., Salgado, R., Balko, J. M., Bravo, L., Doimi, F., Bretel, D., Morante, Z., Flores, C., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-23099-7 · Cited by 108 · see citing works
From tissues to cell types and back: single-cell gene expression analysis of tissue architecture
Chen, X., Teichmann, S. A., & Meyer, K. B. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-080917-013452 · Cited by 112 · see citing works
Kersten, K., Coffelt, S. B., Hoogstraat, M., Verstegen, N. J. M., Vrijland, K., Ciampricotti, M., Doornebal, C. W., Hau, C.-S., Wellenstein, M. D., Salvagno, C., et al. (2017) · OncoImmunology · doi:10.1080/2162402x.2017.1334744 · Cited by 109 · see citing works
Genetic control of the human brain proteome
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Soundararajan, R., Fradette, J., Konen, J., Moulder, S., Zhang, X., Gibbons, D., Varadarajan, N., Wistuba, I., Tripathy, D., Bernatchez, C., et al. (2019) · Cancers · doi:10.3390/cancers11050714 · Cited by 103 · see citing works
Zhu, T., Liu, J., Beck, S., Pan, S., Capper, D., Lechner, M., Thirlwell, C., Breeze, C. E., & Teschendorff, A. E. (2022) · Nature Methods · doi:10.1038/s41592-022-01412-7 · Cited by 103 · see citing works
Moeini, A., Torrecilla, S., Tovar, V., Montironi, C., Andreu-Oller, C., Peix, J., Higuera, M., Pfister, D., Ramadori, P., Pinyol, R., et al. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.07.028 · Cited by 92 · see citing works
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Immune overdrive signature in colorectal tumor subset predicts poor clinical outcome
Fakih, M., Ouyang, C., Wang, C., Tu, T. Y., Gozo, M. C., Cho, M., Sy, M., Longmate, J. A., & Lee, P. P. (2019) · Journal of Clinical Investigation · doi:10.1172/jci127046 · Cited by 84 · see citing works
Early immune modulation by single-agent trastuzumab as a marker of trastuzumab benefit
Triulzi, T., Regondi, V., De Cecco, L., Cappelletti, M. R., Di Modica, M., Paolini, B., Lollini, P. L., Di Cosimo, S., Sfondrini, L., Generali, D., et al. (2018) · British Journal of Cancer · doi:10.1038/s41416-018-0318-0 · Cited by 94 · see citing works
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Adipose tissue in health and disease through the lens of its building blocks.
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Intergenerational Effects of Maternal Holocaust Exposure on <i>FKBP5</i> Methylation
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KRAS G12D mutation predicts lower TMB and drives immune suppression in lung adenocarcinoma
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Self-citationSurface antigen-guided CRISPR screens identify regulators of myeloid leukemia differentiation
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Yi, R., Lin, A., Cao, M., Xu, A., Luo, P., & Zhang, J. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00933 · Cited by 60 · see citing works
- Authors
- Newman, A. M., Liu, C. L., Green, M. R., Gentles, A. J., Feng, W., Xu, Y., Hoang, C. D., Diehn, M., & Alizadeh, A. A.
- Venue
- Nature Methods
- Published
- 2015-03-30
- Volume
- 12
- Issue
- 5
- Pages
- 453-457
- ISSN
- 1548-7091
- 1548-7105
- PMC
- PMC4739640
- Cited by
- 12,116
- References
- 1
- Language
- en
- Licence
- www.springer.com/tdm (tdm)
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.
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