In vivo CRISPR screens identify a dual function of MEN1 in regulating tumor-microenvironment interactions.


Journal

Nature genetics
ISSN: 1546-1718
Titre abrégé: Nat Genet
Pays: United States
ID NLM: 9216904

Informations de publication

Date de publication:
03 Sep 2024
Historique:
received: 10 11 2023
accepted: 18 07 2024
medline: 4 9 2024
pubmed: 4 9 2024
entrez: 3 9 2024
Statut: aheadofprint

Résumé

Functional genomic screens in two-dimensional cell culture models are limited in identifying therapeutic targets that influence the tumor microenvironment. By comparing targeted CRISPR-Cas9 screens in a two-dimensional culture with xenografts derived from the same cell line, we identified MEN1 as the top hit that confers differential dropout effects in vitro and in vivo. MEN1 knockout in multiple solid cancer types does not impact cell proliferation in vitro but significantly promotes or inhibits tumor growth in immunodeficient or immunocompetent mice, respectively. Mechanistically, MEN1 knockout redistributes MLL1 chromatin occupancy, increasing H3K4me3 at repetitive genomic regions, activating double-stranded RNA expression and increasing neutrophil and CD8

Identifiants

pubmed: 39227744
doi: 10.1038/s41588-024-01874-9
pii: 10.1038/s41588-024-01874-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Princess Margaret Cancer Foundation (PMCF)
ID : 886012001223
Organisme : Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada)
ID : 142246, 152863,152864,159567,438793
Organisme : Gouvernement du Canada | Canadian Institutes of Health Research (Instituts de Recherche en Santé du Canada)
ID : FDN-148395
Organisme : Terry Fox Research Institute (Institut de Recherche Terry Fox)
ID : 1090, 1124
Organisme : National Natural Science Foundation of China (National Science Foundation of China)
ID : 31801111

Informations de copyright

© 2024. The Author(s).

Références

Jin, M.-Z. & Jin, W.-L. The updated landscape of tumor microenvironment and drug repurposing. Signal Transduct. Target Ther. 5, 166 (2020).
pubmed: 32843638 pmcid: 7447642 doi: 10.1038/s41392-020-00280-x
Mantovani, A., Allavena, P., Sica, A. & Balkwill, F. Cancer-related inflammation. Nature 454, 436–444 (2008).
pubmed: 18650914 doi: 10.1038/nature07205
Hanahan, D. & Weinberg, R. A. Hallmarks of cancer: the next generation. Cell 144, 646–674 (2011).
pubmed: 21376230 doi: 10.1016/j.cell.2011.02.013
Balkwill, F. R., Capasso, M. & Hagemann, T. The tumor microenvironment at a glance. J. Cell Sci. 125, 5591–5596 (2012).
pubmed: 23420197 doi: 10.1242/jcs.116392
Qian, J. et al. A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling. Cell Res. 30, 745–762 (2020).
pubmed: 32561858 pmcid: 7608385 doi: 10.1038/s41422-020-0355-0
Wu, S. Z. et al. A single-cell and spatially resolved atlas of human breast cancers. Nat. Genet. 53, 1334–1347 (2021).
pubmed: 34493872 pmcid: 9044823 doi: 10.1038/s41588-021-00911-1
Thorsson, V. et al. The immune landscape of cancer. Immunity 48, 812–830.e14 (2018).
pubmed: 29628290 pmcid: 5982584 doi: 10.1016/j.immuni.2018.03.023
Tang, L. et al. Nanoparticle-mediated targeted drug delivery to remodel tumor microenvironment for cancer therapy. Int. J. Nanomed. 16, 5811–5829 (2021).
doi: 10.2147/IJN.S321416
Shalem, O. et al. Genome-scale CRISPR–Cas9 knockout screening in human cells. Science 343, 84–87 (2014).
pubmed: 24336571 doi: 10.1126/science.1247005
Wang, T., Wei, J. J., Sabatini, D. M. & Lander, E. S. Genetic screens in human cells using the CRISPR–Cas9 system. Science 343, 80–84 (2014).
pubmed: 24336569 doi: 10.1126/science.1246981
Henriksson, J. et al. Genome-wide CRISPR screens in T helper cells reveal pervasive crosstalk between activation and differentiation. Cell 176, 882–896.e18 (2019).
pubmed: 30639098 pmcid: 6370901 doi: 10.1016/j.cell.2018.11.044
Manguso, R. T. et al. In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target. Nature 547, 413–418 (2017).
pubmed: 28723893 pmcid: 5924693 doi: 10.1038/nature23270
Shifrut, E. et al. Genome-wide CRISPR screens in primary human T cells reveal key regulators of immune function. Cell 175, 1958–1971 (2018).
pubmed: 30449619 pmcid: 6689405 doi: 10.1016/j.cell.2018.10.024
Tsherniak, A. et al. Defining a cancer dependency map. Cell 170, 564–576.e16 (2017).
pubmed: 28753430 pmcid: 5667678 doi: 10.1016/j.cell.2017.06.010
Jin, V., Wang, J. & Tang, B. Integration of Multisource Heterogenous Omics Information in Cancer (Frontiers Media SA, 2020).
Pacini, C. et al. Integrated cross-study datasets of genetic dependencies in cancer. Nat. Commun. 12, 1661 (2021).
pubmed: 33712601 pmcid: 7955067 doi: 10.1038/s41467-021-21898-7
Wang, X. et al. In vivo CRISPR screens identify the E3 ligase Cop1 as a modulator of macrophage infiltration and cancer immunotherapy target. Cell 184, 5357–5374.e22 (2021).
pubmed: 34582788 pmcid: 9136996 doi: 10.1016/j.cell.2021.09.006
Li, F. et al. In vivo epigenetic CRISPR screen identifies Asf1a as an immunotherapeutic target in Kras-mutant lung adenocarcinoma. Cancer Discov. 10, 270–287 (2020).
pubmed: 31744829 doi: 10.1158/2159-8290.CD-19-0780
Gao, S. et al. CRISPR screens identify cholesterol biosynthesis as a therapeutic target on stemness and drug resistance of colon cancer. Oncogene 40, 6601–6613 (2021).
pubmed: 34621019 pmcid: 8639446 doi: 10.1038/s41388-021-01882-7
Soares, F. et al. CRISPR screen identifies genes that sensitize AML cells to double-negative T-cell therapy. Blood 137, 2171–2181 (2021).
pubmed: 33270841 doi: 10.1182/blood.2019004108
Chen, S. et al. Genome-wide CRISPR screen in a mouse model of tumor growth and metastasis. Cell 160, 1246–1260 (2015).
pubmed: 25748654 pmcid: 4380877 doi: 10.1016/j.cell.2015.02.038
Li, W. et al. MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens. Genome Biol. 15, 554 (2014).
pubmed: 25476604 pmcid: 4290824 doi: 10.1186/s13059-014-0554-4
Meyers, R. M. et al. Computational correction of copy number effect improves specificity of CRISPR–Cas9 essentiality screens in cancer cells. Nat. Genet. 49, 1779–1784 (2017).
pubmed: 29083409 pmcid: 5709193 doi: 10.1038/ng.3984
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).
pubmed: 25516281 pmcid: 4302049 doi: 10.1186/s13059-014-0550-8
Perner, F. et al. MEN1 mutations mediate clinical resistance to menin inhibition. Nature 615, 913–919 (2023).
pubmed: 36922589 pmcid: 10157896 doi: 10.1038/s41586-023-05755-9
Issa, G. C. et al. The menin inhibitor revumenib in KMT2A-rearranged or NPM1-mutant leukaemia. Nature 615, 920–924 (2023).
pubmed: 36922593 pmcid: 10060155 doi: 10.1038/s41586-023-05812-3
Sparbier, C. E. et al. Targeting Menin disrupts the KMT2A/B and polycomb balance to paradoxically activate bivalent genes. Nat. Cell Biol. 25, 258–272 (2023).
pubmed: 36635503 pmcid: 7614190
Soto-Feliciano, Y. M. et al. A molecular switch between mammalian MLL complexes dictates response to Menin-MLL inhibition. Cancer Discov. 13, 146–169 (2023).
pubmed: 36264143 doi: 10.1158/2159-8290.CD-22-0416
Lin, J. et al. Menin ‘reads’ H3K79me2 mark in a nucleosomal context. Science 379, 717–723 (2023).
pubmed: 36795828 doi: 10.1126/science.adc9318
La, P. et al. Tumor suppressor menin: the essential role of nuclear localization signal domains in coordinating gene expression. Oncogene 25, 3537–3546 (2006).
pubmed: 16449969 doi: 10.1038/sj.onc.1209400
Skene, P. J. & Henikoff, S. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites. eLife 6, e21856 (2017).
pubmed: 28079019 pmcid: 5310842 doi: 10.7554/eLife.21856
Zhang, Y. et al. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 9, R137 (2008).
pubmed: 18798982 pmcid: 2592715 doi: 10.1186/gb-2008-9-9-r137
Wang, S. et al. Target analysis by integration of transcriptome and ChIP-seq data with BETA. Nat. Protoc. 8, 2502–2515 (2013).
pubmed: 24263090 pmcid: 4135175 doi: 10.1038/nprot.2013.150
Soto-Feliciano, Y. M. et al. Molecular switch between mammalian MLL complexes dictates response to Menin-MLL inhibition. Cancer Discov. 13, 146–169 (2023).
pubmed: 36264143 doi: 10.1158/2159-8290.CD-22-0416
Madani Tonekaboni, S. A., Haibe-Kains, B. & Lupien, M. Large organized chromatin lysine domains help distinguish primitive from differentiated cell populations. Nat. Commun. 12, 499 (2021).
pubmed: 33479238 pmcid: 7820432 doi: 10.1038/s41467-020-20830-9
Chen, R., Ishak, C. A. & De Carvalho, D. D. Endogenous retroelements and the viral mimicry response in cancer therapy and cellular homeostasis. Cancer Discov. 11, 2707–2725 (2021).
pubmed: 34649957 doi: 10.1158/2159-8290.CD-21-0506
Gao, D. et al. Cyclic GMP–AMP synthase is an innate immune sensor of HIV and other retroviruses. Science 341, 903–906 (2013).
pubmed: 23929945 doi: 10.1126/science.1240933
Roulois, D. et al. DNA-demethylating agents target colorectal cancer cells by inducing viral mimicry by endogenous transcripts. Cell 162, 961–973 (2015).
pubmed: 26317465 pmcid: 4843502 doi: 10.1016/j.cell.2015.07.056
Morel, K. L. et al. EZH2 inhibition activates a dsRNA–STING–interferon stress axis that potentiates response to PD-1 checkpoint blockade in prostate cancer. Nat. Cancer 2, 444–456 (2021).
pubmed: 33899001 pmcid: 8061902 doi: 10.1038/s43018-021-00185-w
Liu, S. et al. Phosphorylation of innate immune adaptor proteins MAVS, STING, and TRIF induces IRF3 activation. Science 347, aaa2630 (2015).
pubmed: 25636800 doi: 10.1126/science.aaa2630
Borkin, D. et al. Pharmacologic inhibition of the Menin-MLL interaction blocks progression of MLL leukemia in vivo. Cancer Cell 27, 589–602 (2015).
pubmed: 25817203 pmcid: 4415852 doi: 10.1016/j.ccell.2015.02.016
Chen, S. et al. Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression. Nat. Cell Biol. 23, 87–98 (2021).
pubmed: 33420488 doi: 10.1038/s41556-020-00613-6
Xu, W. et al. Early innate and adaptive immune perturbations determine long-term severity of chronic virus and Mycobacterium tuberculosis coinfection. Immunity 54, 526–541.e7 (2021).
pubmed: 33515487 pmcid: 7946746 doi: 10.1016/j.immuni.2021.01.003
Krivtsov, A. V. et al. A Menin-MLL inhibitor induces specific chromatin changes and eradicates disease in models of MLL-rearranged leukemia. Cancer Cell 36, 660–673.e11 (2019).
pubmed: 31821784 pmcid: 7227117 doi: 10.1016/j.ccell.2019.11.001
Grembecka, J. et al. Menin-MLL inhibitors reverse oncogenic activity of MLL fusion proteins in leukemia. Nat. Chem. Biol. 8, 277–284 (2012).
pubmed: 22286128 pmcid: 3401603 doi: 10.1038/nchembio.773
Davis, J. A. et al. Clinical-stage menin inhibitor KO-539 is synergistically active with multiple classes of targeted agents in KMT2A-r and NPM1-mutant AML models. Blood 138, 3357 (2021).
doi: 10.1182/blood-2021-149831
Al-Salameh, A., Cadiot, G., Calender, A., Goudet, P. & Chanson, P. Clinical aspects of multiple endocrine neoplasia type 1. Nat. Rev. Endocrinol. 17, 207–224 (2021).
pubmed: 33564173 doi: 10.1038/s41574-021-00468-3
Qiu, H. et al. MEN1 deficiency leads to neuroendocrine differentiation of lung cancer and disrupts the DNA damage response. Nat. Commun. 11, 1009 (2020).
pubmed: 32081882 pmcid: 7035285 doi: 10.1038/s41467-020-14614-4
Chandrasekharappa, S. C. et al. Positional cloning of the gene for multiple endocrine neoplasia-type 1. Science 276, 404–407 (1997).
pubmed: 9103196 doi: 10.1126/science.276.5311.404
Jiao, Y. et al. DAXX/ATRX, MEN1, and mTOR pathway genes are frequently altered in pancreatic neuroendocrine tumors. Science 331, 1199–1203 (2011).
pubmed: 21252315 pmcid: 3144496 doi: 10.1126/science.1200609
Yokoyama, A. & Cleary, M. L. Menin critically links MLL proteins with LEDGF on cancer-associated target genes. Cancer Cell 14, 36–46 (2008).
pubmed: 18598942 pmcid: 2692591 doi: 10.1016/j.ccr.2008.05.003
Lander, E. S. et al. Initial sequencing and analysis of the human genome. Nature 409, 860–921 (2001).
pubmed: 11237011 doi: 10.1038/35057062
Payer, L. M. & Burns, K. H. Transposable elements in human genetic disease. Nat. Rev. Genet. 20, 760–772 (2019).
pubmed: 31515540 doi: 10.1038/s41576-019-0165-8
Babaian, A. & Mager, D. L. Endogenous retroviral promoter exaptation in human cancer. Mob. DNA 7, 24 (2016).
pubmed: 27980689 pmcid: 5134097 doi: 10.1186/s13100-016-0080-x
Deblois, G. et al. Epigenetic switch-induced viral mimicry evasion in chemotherapy-resistant breast cancer. Cancer Discov. 10, 1312–1329 (2020).
pubmed: 32546577 doi: 10.1158/2159-8290.CD-19-1493
Sheng, W. et al. LSD1 ablation stimulates anti-tumor immunity and enables checkpoint blockade. Cell 174, 549–563.e19 (2018).
pubmed: 29937226 pmcid: 6063761 doi: 10.1016/j.cell.2018.05.052
Chiappinelli, K. B. et al. Inhibiting DNA methylation causes an interferon response in cancer via dsRNA including endogenous retroviruses. Cell 162, 974–986 (2015).
pubmed: 26317466 pmcid: 4556003 doi: 10.1016/j.cell.2015.07.011
Linares-Saldana, R. et al. BRD4 orchestrates genome folding to promote neural crest differentiation. Nat. Genet. 53, 1480–1492 (2021).
pubmed: 34611363 pmcid: 8500624 doi: 10.1038/s41588-021-00934-8
Wei, Z. et al. MYC reshapes CTCF-mediated chromatin architecture in prostate cancer. Nat. Commun. 14, 1787 (2023).
pubmed: 36997534 pmcid: 10063626 doi: 10.1038/s41467-023-37544-3
Law, V. et al. DrugBank 4.0: shedding new light on drug metabolism. Nucleic Acids Res. 42, D1091–D1097 (2014).
pubmed: 24203711 doi: 10.1093/nar/gkt1068
Ma, J. et al. CRISPR-DO for genome-wide CRISPR design and optimization. Bioinformatics 32, 3336–3338 (2016).
pubmed: 27402906 pmcid: 6095119 doi: 10.1093/bioinformatics/btw476
Wang, T., Lander, E. S. & Sabatini, D. M. Viral packaging and cell culture for CRISPR-based screens. Cold Spring Harb. Protoc. 2016, db.prot090811 (2016).
doi: 10.1101/pdb.prot090811
Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21 (2013).
pubmed: 23104886 doi: 10.1093/bioinformatics/bts635
Wang, L., Wang, S. & Li, W. RSeQC: quality control of RNA-seq experiments. Bioinformatics 28, 2184–2185 (2012).
pubmed: 22743226 doi: 10.1093/bioinformatics/bts356
Wang, L. et al. Measure transcript integrity using RNA-seq data. BMC Bioinformatics 17, 58 (2016).
pubmed: 26842848 pmcid: 4739097 doi: 10.1186/s12859-016-0922-z
Anders, S., Pyl, P. T. & Huber, W. HTSeq—a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169 (2015).
pubmed: 25260700 doi: 10.1093/bioinformatics/btu638
Tonekaboni, S. A. M., Mazrooei, P., Kofia, V., Haibe-Kains, B. & Lupien, M. Identifying clusters of cis-regulatory elements underpinning TAD structures and lineage-specific regulatory networks. Genome Res. 29, 1733–1743 (2019).
doi: 10.1101/gr.248658.119
Yu, G., Wang, L.-G., Han, Y. & He, Q.-Y. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS 16, 284–287 (2012).
pubmed: 22455463 pmcid: 3339379 doi: 10.1089/omi.2011.0118
Quinlan, A. R. & Hall, I. M. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841–842 (2010).
pubmed: 20110278 pmcid: 2832824 doi: 10.1093/bioinformatics/btq033
Chen, H. et al. Cytofkit: a bioconductor package for an integrated mass cytometry data analysis pipeline. PLoS Comput. Biol. 12, e1005112 (2016).
pubmed: 27662185 pmcid: 5035035 doi: 10.1371/journal.pcbi.1005112
Levine, J. H. et al. Data-driven phenotypic dissection of aml reveals progenitor-like cells that correlate with prognosis. Cell 162, 184–197 (2015).
pubmed: 26095251 pmcid: 4508757 doi: 10.1016/j.cell.2015.05.047
McInnes, L., Healy, J., Saul, N. & Großberger, L. UMAP: uniform manifold approximation and projection. J. Open Source Softw. 3, 861 (2018).
doi: 10.21105/joss.00861
Weber, L. M., Nowicka, M., Soneson, C. & Robinson, M. D. diffcyt: differential discovery in high-dimensional cytometry via high-resolution clustering. Commun. Biol. 2, 183 (2019).
pubmed: 31098416 pmcid: 6517415 doi: 10.1038/s42003-019-0415-5

Auteurs

Peiran Su (P)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Yin Liu (Y)

Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.

Tianyi Chen (T)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Yibo Xue (Y)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Yong Zeng (Y)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Guanghui Zhu (G)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
West China School of Public Health and West China Fourth Hospital, and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China.

Sujun Chen (S)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
West China School of Public Health and West China Fourth Hospital, and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, China.

Mona Teng (M)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Xinpei Ci (X)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Mengdi Guo (M)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Department of Immunology, University of Toronto, Toronto, Ontario, Canada.

Michael Y He (MY)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Jun Hao (J)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Vivian Chu (V)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Wenxi Xu (W)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Shiyan Wang (S)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Parinaz Mehdipour (P)

Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Xin Xu (X)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Sajid A Marhon (SA)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Fraser Soares (F)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Nhu-An Pham (NA)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Bell Xi Wu (BX)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Peter Hyunwuk Her (PH)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Shengrui Feng (S)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Najd Alshamlan (N)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Maryam Khalil (M)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.

Rehna Krishnan (R)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Fangyou Yu (F)

Department of Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.

Chang Chen (C)

Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.

Francis Burrows (F)

Kura Oncology Inc, San Diego, CA, USA.

Razqallah Hakem (R)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Mathieu Lupien (M)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Shane Harding (S)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Benjamin H Lok (BH)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Catherine O'Brien (C)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Alejandro Berlin (A)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

Daniel D De Carvalho (DD)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.

David G Brooks (DG)

Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Department of Immunology, University of Toronto, Toronto, Ontario, Canada.

Daniel Schramek (D)

Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Centre for Molecular and Systems Biology, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.

Ming-Sound Tsao (MS)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. Ming.Tsao@uhn.ca.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. Ming.Tsao@uhn.ca.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada. Ming.Tsao@uhn.ca.

Housheng Hansen He (HH)

Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. hansenhe@uhnresearch.ca.
Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada. hansenhe@uhnresearch.ca.

Classifications MeSH