Cited by 2,873

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma

Neftel, Cyril, Laffy, Julie, Filbin, Mariella G., Hara, Toshiro, Shore, Marni E., Rahme, Gilbert J., Richman, Alyssa R., Silverbush, Dana, Shaw, McKenzie L., Hebert, Christine M., Dewitt, John, Gritsch, Simon, Perez, Elizabeth M., Gonzalez Castro, L. Nicolas, Lan, Xiaoyang, Druck, Nicholas, Rodman, Christopher, Dionne, Danielle, Kaplan, Alexander, Bertalan, Mia S., Small, Julia, Pelton, Kristine, Becker, Sarah, Bonal, Dennis, Nguyen, Quang-De, Servis, Rachel L., Fung, Jeremy M., Mylvaganam, Ravindra, Mayr, Lisa, Gojo, Johannes, Haberler, Christine, Geyeregger, Rene, Czech, Thomas, Slavc, Irene, Nahed, Brian V., Curry, William T., Carter, Bob S., Wakimoto, Hiroaki, Brastianos, Priscilla K., Batchelor, Tracy T., Stemmer-Rachamimov, Anat, Martinez-Lage, Maria, Frosch, Matthew P., Stamenkovic, Ivan, Riggi, Nicolo, Rheinbay, Esther, Monje, Michelle, Rozenblatt-Rosen, Orit, Cahill, Daniel P., Patel, Anoop P., Hunter, Tony, Verma, Inder M., Ligon, Keith L., Louis, David N., Regev, Aviv, Bernstein, Bradley E., Tirosh, Itay, Suvà, Mario L.·2019·Cell

DOI 10.1016/j.cell.2019.06.024PMC PMC6703186

Open this paper in CoChat — free account

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

Crossref · 10.1016/j.cell.2019.06.024

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

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.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1
Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575
Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
Patel, A. P., Tirosh, I., Trombetta, J. J., Shalek, A. K., Gillespie, S. M., Wakimoto, H., Cahill, D. P., Nahed, B. V., Curry, W. T., Martuza, R. L., et al. (2014) · Science · doi:10.1126/science.1254257 · Cited by 5,063
Self-citation
The Somatic Genomic Landscape of Glioblastoma
Brennan, C. W., Verhaak, R. G. W., McKenna, A., Campos, B., Noushmehr, H., Salama, S. R., Zheng, S., Chakravarty, D., Sanborn, J. Z., Berman, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.09.034 · Cited by 5,016
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
Self-citation
A restricted cell population propagates glioblastoma growth after chemotherapy
Chen, J., Li, Y., Yu, T.-S., McKay, R. M., Burns, D. K., Kernie, S. G., & Parada, L. F. (2012) · Nature · doi:10.1038/nature11287 · Cited by 2,354
Genetic evidence that Nkx2.2 and Pdgfra are major determinants of the timing of oligodendrocyte differentiation in the developing CNS
Zhu, Q., Zhao, X., Zheng, K., Li, H., Huang, H., Zhang, Z., Mastracci, T., Wegner, M., Chen, Y., Sussel, L., et al. (2014) · Development · doi:10.1242/dev.095323 · Cited by 150

Flagged first, then by citations

Show all 7 references

Research works printed but not linked: 25

Bao, 2006, Glioma stem cells promote radioresistance by preferential activation of the DNA damage response, Nature, 444, 756, 10.1038/nature05236 · DOI
Darmanis, 2017, Single-cell RNA-seq analysis of infiltrating neoplastic cells at the migrating front of human glioblastoma, Cell Rep., 21, 1399, 10.1016/j.celrep.2017.10.030 · DOI
Filbin, 2018, Developmental and oncogenic programs in H3K27M gliomas dissected by single-cell RNA-seq, Science, 360, 331, 10.1126/science.aao4750 · DOI
Friedmann-Morvinski, 2012, Dedifferentiation of neurons and astrocytes by oncogenes can induce gliomas in mice, Science, 338, 1080, 10.1126/science.1226929 · DOI
Holland, 1998, A constitutively active epidermal growth factor receptor cooperates with disruption of G1 cell-cycle arrest pathways to induce glioma-like lesions in mice, Genes Dev., 12, 3675, 10.1101/gad.12.23.3675 · DOI
Kerman, 2015, In vitro myelin formation using embryonic stem cells, Development, 142, 2213, 10.1242/dev.116517 · DOI
Lathia, J.D., Mack, S.C., Mulkearns-Hubert, E.E., Valentim, C.L., and Rich, J.N. (2015). Cancer stem cells in glioblastoma. In Genes & development (United States), pp. 1203–1217. · DOI · Paper page
Li, B., and Dewey, C.N. (2011). RSEM: accurate transcript quantification from RNA-seq data with or without a reference genome. B.M.C. Bioinformatics, ed. (England), pp. 323. · DOI · Paper page
Lim, 2012, Loss of Cdk2 and Cdk4 induces a switch from proliferation to differentiation in neural stem cells, Stem Cells, 30, 1509, 10.1002/stem.1114 · DOI
Müller, 2016, Single-cell sequencing maps gene expression to mutational phylogenies in PDGF- and EGF-driven gliomas, Mol. Syst. Biol., 12, 889, 10.15252/msb.20166969 · DOI
Nowakowski, 2017, Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortex, Science, 358, 1318, 10.1126/science.aap8809 · DOI · Paper page
Parada, 2017, Brain tumor stem cells remain in play, J. Clin. Oncol., 35, 2428, 10.1200/JCO.2017.73.9540 · DOI
Picelli, S., Faridani, O.R., Bjorklund, A.K., Winberg, G., Sagasser, S., and Sandberg, R. (2014). Full-length RNA-seq from single cells using Smart-seq2. In Nat Protoc (England), pp. 171–181. · DOI · Paper page
Pollen, 2015, Molecular identity of human outer radial glia during cortical development, Cell, 163, 55, 10.1016/j.cell.2015.09.004 · DOI · Paper page
Puram, 2017, Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer, Cell, 171, 1611, 10.1016/j.cell.2017.10.044 · DOI · Paper page
Sottoriva, 2013, Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics, Proc. Natl. Acad. Sci. USA, 110, 4009, 10.1073/pnas.1219747110 · DOI · Paper page
Sun, 2005, Asymmetric distribution of EGFR receptor during mitosis generates diverse CNS progenitor cells, Neuron, 45, 873, 10.1016/j.neuron.2005.01.045 · DOI
Suvà, 2014, Reconstructing and reprogramming the tumor-propagating potential of glioblastoma stem-like cells, Cell, 157, 580, 10.1016/j.cell.2014.02.030 · DOI
Tanay, 2017, Scaling single-cell genomics from phenomenology to mechanism, Nature, 541, 331, 10.1038/nature21350 · DOI · Paper page
Tirosh, 2019, Deciphering Human Tumor Biology by Single-Cell Expression Profiling, Annual Review of Cancer Biology, 3, 10.1146/annurev-cancerbio-030518-055609 · DOI
Tirosh, I., Venteicher, A.S., Hebert, C., Escalante, L.E., Patel, A.P., Yizhak, K., Fisher, J.M., Rodman, C., Mount, C., Filbin, M.G., et al. (2016b). Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma. In Nature (England), pp. 309–313. · DOI
Venteicher, 2017, Decoupling genetics, lineages, and microenvironment in IDH-mutant gliomas by single-cell RNA-seq, Science, 355, eaai8478, 10.1126/science.aai8478 · DOI
Wakimoto, 2012, Maintenance of primary tumor phenotype and genotype in glioblastoma stem cells, Neuro-oncol., 14, 132, 10.1093/neuonc/nor195 · DOI
Wang, 2017, Tumor evolution of glioma-intrinsic gene expression subtypes associates with immunological changes in the microenvironment, Cancer cell, 32, 42, 10.1016/j.ccell.2017.06.003 · DOI
Yuan, 2018, Single-cell transcriptome analysis of lineage diversity in high-grade glioma, Genome Med., 10, 57, 10.1186/s13073-018-0567-9 · DOI

Sorted by citations

Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma
Ji, A. L., Rubin, A. J., Thrane, K., Jiang, S., Reynolds, D. L., Meyers, R. M., Guo, M. G., George, B. M., Mollbrink, A., Bergenstråhle, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.039 · Cited by 1,117
“This is an open access article und tions that drive drug resistance, predict metastatic risk, and mediate plasticity (Neftel et al., 2019; Puram et al., 2017; Tirosh et al., 2016a).”
Background
A Patient-Derived Glioblastoma Organoid Model and Biobank Recapitulates Inter- and Intra-tumoral Heterogeneity
Jacob, F., Salinas, R. D., Zhang, D. Y., Nguyen, P. T. T., Schnoll, J. G., Wong, S. Z. H., Thokala, R., Sheikh, S., Saxena, D., Prokop, S., et al. (2020) · Cell · doi:10.1016/j.cell.2019.11.036 · Cited by 1,149
Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions
Wen, P. Y., Weller, M., Lee, E. Q., Alexander, B. M., Barnholtz-Sloan, J. S., Barthel, F. P., Batchelor, T. T., Bindra, R. S., Chang, S. M., Chiocca, E. A., et al. (2020) · Neuro-Oncology · doi:10.1093/neuonc/noaa106 · Cited by 1,168
Self-citation
Single-cell profiling of myeloid cells in glioblastoma across species and disease stage reveals macrophage competition and specialization
Pombo Antunes, A. R., Scheyltjens, I., Lodi, F., Messiaen, J., Antoranz, A., Duerinck, J., Kancheva, D., Martens, L., De Vlaminck, K., Van Hove, H., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00789-y · Cited by 704
Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer
Raghavan, S., Winter, P. S., Navia, A. W., Williams, H. L., DenAdel, A., Lowder, K. E., Galvez-Reyes, J., Kalekar, R. L., Mulugeta, N., Kapner, K. S., et al. (2021) · Cell · doi:10.1016/j.cell.2021.11.017 · Cited by 592
Hallmarks of transcriptional intratumour heterogeneity across a thousand tumours
Gavish, A., Tyler, M., Greenwald, A. C., Hoefflin, R., Simkin, D., Tschernichovsky, R., Galili Darnell, N., Somech, E., Barbolin, C., Antman, T., et al. (2023) · Nature · doi:10.1038/s41586-023-06130-4 · Cited by 556
Self-citation
Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment
Barkley, D., Moncada, R., Pour, M., Liberman, D. A., Dryg, I., Werba, G., Wang, W., Baron, M., Rao, A., Xia, B., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01141-9 · Cited by 532
Molecular architecture of the developing mouse brain
La Manno, G., Siletti, K., Furlan, A., Gyllborg, D., Vinsland, E., Mossi Albiach, A., Mattsson Langseth, C., Khven, I., Lederer, A. R., Dratva, L. M., et al. (2021) · Nature · doi:10.1038/s41586-021-03775-x · Cited by 563
Pan-cancer single-cell RNA-seq identifies recurring programs of cellular heterogeneity
Kinker, G. S., Greenwald, A. C., Tal, R., Orlova, Z., Cuoco, M. S., McFarland, J. M., Warren, A., Rodman, C., Roth, J. A., Bender, S. A., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-00726-6 · Cited by 445
Self-citation
Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy
Gohil, S. H., Iorgulescu, J. B., Braun, D. A., Keskin, D. B., & Livak, K. J. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-00449-x · Cited by 282
Transcriptome analysis reveals tumor microenvironment changes in glioblastoma
Hoogstrate, Y., Draaisma, K., Ghisai, S. A., van Hijfte, L., Barin, N., de Heer, I., Coppieters, W., van den Bosch, T. P. P., Bolleboom, A., Gao, Z., et al. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.02.019 · Cited by 240
The Many Facets of Therapy Resistance and Tumor Recurrence in Glioblastoma
Goenka, A., Tiek, D., Song, X., Huang, T., Hu, B., & Cheng, S.-Y. (2021) · Cells · doi:10.3390/cells10030484 · Cited by 169
Multiomic spatial landscape of innate immune cells at human central nervous system borders
Sankowski, R., Süß, P., Benkendorff, A., Böttcher, C., Fernandez-Zapata, C., Chhatbar, C., Cahueau, J., Monaco, G., Gasull, A. D., Khavaran, A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02673-1 · Cited by 156
Cell-autonomous effects of APOE4 in restricting microglial response in brain homeostasis and Alzheimer’s disease
Liu, C.-C., Wang, N., Chen, Y., Inoue, Y., Shue, F., Ren, Y., Wang, M., Qiao, W., Ikezu, T. C., Li, Z., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01640-9 · Cited by 146
Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes
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
Immunocytokines are a promising immunotherapeutic approach against glioblastoma
Weiss, T., Puca, E., Silginer, M., Hemmerle, T., Pazahr, S., Bink, A., Weller, M., Neri, D., & Roth, P. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.abb2311 · Cited by 133
Brain macrophage development, diversity and dysregulation in health and disease
Silvin, A., Qian, J., & Ginhoux, F. (2023) · Cellular & Molecular Immunology · doi:10.1038/s41423-023-01053-6 · Cited by 137
Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data
Fortelny, N., & Bock, C. (2020) · Genome Biology · doi:10.1186/s13059-020-02100-5 · Cited by 135
TREM2 inhibition triggers antitumor cell activity of myeloid cells in glioblastoma
Sun, R., Han, R., McCornack, C., Khan, S., Tabor, G. T., Chen, Y., Hou, J., Jiang, H., Schoch, K. M., Mao, D. D., et al. (2023) · Science Advances · doi:10.1126/sciadv.ade3559 · Cited by 119
Glioblastoma epigenome profiling identifies SOX10 as a master regulator of molecular tumour subtype
Wu, Y., Fletcher, M., Gu, Z., Wang, Q., Costa, B., Bertoni, A., Man, K.-H., Schlotter, M., Felsberg, J., Mangei, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-20225-w · Cited by 101
Multiomic analysis of cervical squamous cell carcinoma identifies cellular ecosystems with biological and clinical relevance
Fan, J., Lu, F., Qin, T., Peng, W., Zhuang, X., Li, Y., Hou, X., Fang, Z., Yang, Y., Guo, E., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01570-0 · Cited by 93
Individualized patient tumor organoids faithfully preserve human brain tumor ecosystems and predict patient response to therapy
Peng, T., Ma, X., Hua, W., Wang, C., Chu, Y., Sun, M., Fermi, V., Hamelmann, S., Lindner, K., Shao, C., et al. (2025) · Cell Stem Cell · doi:10.1016/j.stem.2025.01.002 · Cited by 86
Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures
Suphavilai, C., Chia, S., Sharma, A., Tu, L., Da Silva, R. P., Mongia, A., DasGupta, R., & Nagarajan, N. (2021) · Genome Medicine · doi:10.1186/s13073-021-01000-y · Cited by 58
Mechanism and therapeutic potential of tumor-immune symbiosis in glioblastoma
Pang, L., Khan, F., Heimberger, A. B., & Chen, P. (2022) · Trends in Cancer · doi:10.1016/j.trecan.2022.04.010 · Cited by 67
Diversified transcriptional responses of myeloid and glial cells in spinal cord injury shaped by HDAC3 activity
Wahane, S., Zhou, X., Zhou, X., Guo, L., Friedl, M.-S., Kluge, M., Ramakrishnan, A., Shen, L., Friedel, C. C., Zhang, B., et al. (2021) · Science Advances · doi:10.1126/sciadv.abd8811 · Cited by 67
Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice
Bakas, S., Vollmuth, P., Galldiks, N., Booth, T. C., Aerts, H. J. W. L., Bi, W. L., Wiestler, B., Tiwari, P., Pati, S., Baid, U., et al. (2024) · The Lancet Oncology · doi:10.1016/s1470-2045(24)00315-2 · Cited by 36
Nonredundant, isoform-specific roles of HDAC1 in glioma stem cells
Lo Cascio, C., McNamara, J. B., Melendez, E. L., Lewis, E. M., Dufault, M. E., Sanai, N., Plaisier, C. L., & Mehta, S. (2021) · JCI Insight · doi:10.1172/jci.insight.149232 · Cited by 33
Negative trials over and over again: how can we do better?
McFaline-Figueroa, J. R., & Wen, P. Y. (2023) · Neuro-Oncology · doi:10.1093/neuonc/noac226 · Cited by 25
Challenges and Promise for Glioblastoma Treatment through Extracellular Vesicle Inquiry
Liguori, G. L. (2024) · Cells · doi:10.3390/cells13040336 · Cited by 24
A window-of-opportunity trial reveals mechanisms of response and resistance to navtemadlin in patients with recurrent glioblastoma
Rendo, V., Lee, E. Q., Bossi, C., Khuu, N., Rudek, M. A., Pal, S., Azazmeh, N., Rashid, R., Lin, J.-R., Cusick, M., et al. (2025) · Science Translational Medicine · doi:10.1126/scitranslmed.adn6274 · Cited by 19
Self-citation
MiR-128-3p – a gray eminence of the human central nervous system
Kiel, K., Król, S. K., Bronisz, A., & Godlewski, J. (2024) · Molecular Therapy Nucleic Acids · doi:10.1016/j.omtn.2024.102141 · Cited by 15
Immunotherapeutic advances in glioma management: The rise of vaccine‐based approaches
Andrew Awuah, W., Shah, M. H., Tan, J. K., Ranganathan, S., Sanker, V., Darko, K., Tenkorang, P. O., Adageba, B. B., Ahluwalia, A., Shet, V., et al. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70013 · Cited by 14
Multi-modal quantification of pathway activity with MAYA
Landais, Y., & Vallot, C. (2023) · Nature Communications · doi:10.1038/s41467-023-37410-2 · Cited by 9

Authors: Neftel, C., Laffy, J., Filbin, M. G., Hara, T., Shore, M. E., Rahme, G. J., Richman, A. R., Silverbush, D., Shaw, M. L., Hebert, C. M., Dewitt, J., Gritsch, S., Perez, E. M., Gonzalez Castro, L. N., Lan, X., Druck, N., Rodman, C., Dionne, D., Kaplan, A., Bertalan, M. S., Small, J., Pelton, K., Becker, S., Bonal, D., Nguyen, Q.-D., Servis, R. L., Fung, J. M., Mylvaganam, R., Mayr, L., Gojo, J., Haberler, C., Geyeregger, R., Czech, T., Slavc, I., Nahed, B. V., Curry, W. T., Carter, B. S., Wakimoto, H., Brastianos, P. K., Batchelor, T. T., Stemmer-Rachamimov, A., Martinez-Lage, M., Frosch, M. P., Stamenkovic, I., Riggi, N., Rheinbay, E., Monje, M., Rozenblatt-Rosen, O., Cahill, D. P., Patel, A. P., Hunter, T., Verma, I. M., Ligon, K. L., Louis, D. N., Regev, A., Bernstein, B. E., Tirosh, I., & Suvà, M. L.
Venue: Cell
Publisher: Elsevier BV
Published: 2019-08
Volume: 178
Issue: 4
Pages: 835-849.e21
ISSN: 0092-8674
DOI: 10.1016/j.cell.2019.06.024
PMC: PMC6703186
Cited by: 2,873
References: 7
Language: en
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 373 d)
Funders: Sontag Foundation
Wang Family Fund
Smith Family Foundation
Chan-Zuckerberg
Alex’s Lemonade Stand Foundation
V Foundation for Cancer Research
The Swiss National Science Foundation Sinergia
Zuckerman STEM Leadership Program
Human Frontiers Science Program
Mexican friends new generation
Benoziyo Endowment Fund (Career Award for Medical Scientist)
Burroughs Wellcome Fund
K12 Paul Calabresi Career Award for Clinical Oncology (K12CA090354)
Placide Nicod Foundation (Grant-in-Aid for JSPS Fellows)
Japan Society for the Promotion of Science
Howard Hughes Medical Institute
Klarman Cell Observatory
STARR cancer consortium
NCI (1U24CA180922, R33CA202820)
Koch Institute Support (P30CA14051)
National Cancer Institute (DP1CA216873)
Ludwig Center
Broad Institute (Career Award for Medical Scientist)
BWF Career Award in the Medical Sciences
Tawingo Chair Fund
NIH Common Fund
American Cancer Society
Ludwig Center at Harvard Medical School
Bernard and Mildred Kayden MGH Research Institute Chair (1S10RR023440, -01A1, P30CA014195, S10-OD023689)
NIH (R01CA195613)
Helmsley Center for Genomic Medicine

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

An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Metadata

Record

About these checks