The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Delineation of signaling routes that underlie differences in macrophage phenotypic states
Open accessPreprint — published as 10.1093/narmme/ugaf013
Abstract
Macrophages represent a major immune cell type in tumor microenvironments, they exist in multiple functional states and are of a strong interest for therapeutic reprogramming. While signaling cascades defining pro-inflammatory macrophages are better characterized, pathways that drive polarization in immunosuppressive macrophages are incompletely mapped. Here, we performed an in-depth characterization of signaling events in primary human macrophages in different functional states using mass spectrometry-based proteomic and phosphoproteomic profiling. Analysis of direct and indirect footprints of kinase activities has suggested PAK2 and PKCα kinases as important regulators of in vitro immunosuppressive macrophages (IL-4/IL-13 or IL-10 stimulated). Network integration of these data with the corresesponding transcriptome profiles has further highlighted FOS and NCOR2 as central transcription regulators in immunosuppressive states. Furthermore, we retrieved single cell sequencing datasets for tumors from cancer patients and found that the unbiased signatures identified here through proteomic analysis were able to successfully separate pro-inflammatory macrophage populations in a clinical setting and could thus be used to expand state-specific markers. This study contributes to in-depth multi-omics characterizations of macrophage phenotypic landscapes, which could be valuable for assisting future interventions that therapeutically alter immune cell compartments. Abstract Figure: Highlights: Global proteomic characterization of primary human macrophages in different states Mapping of main signaling events through in-depth data analysis PKCα and PAK2 kinases are important regulators of immunosuppressive macrophages Proteomic signatures enable accurate detection of pro-inflammatory macrophages in patient tumors
Overview
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
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Flagged first, then by citations
Research works printed but not linked: 180
- 10.1186/s12964-020-00559-0 · DOI
- 10.1038/s41577-019-0127-6 · DOI
- 10.1172/JCI59643 · DOI · Paper page
- 2016, Diverse macrophages polarization in tumor microenvironment, Archives of pharmacal research, 39, 1588, 10.1007/s12272-016-0820-y · DOI
- Biswas, S.K. , and Mantovani, A. (2014). Macrophages: biology and role in the pathology of diseases (Springer). · DOI
- 2022, Macrophages as tools and targets in cancer therapy, Nature Reviews Drug Discovery, 21, 799, 10.1038/s41573-022-00520-5 · DOI · Paper page
- 10.1126/science.aay1813 · DOI
- 10.1016/j.imbio.2014.05.002 · DOI
- 10.1016/j.immuni.2014.01.006 · DOI · Paper page
- 10.1038/nature13490 · DOI · Paper page
- 10.1038/s41586-021-04082-1 · DOI
- 2022, Major pathways involved in macrophage polarization in cancer, Frontiers in Immunology, 13, 1026954, 10.3389/fimmu.2022.1026954 · DOI
- 10.1016/j.tcb.2014.11.006 · DOI
- 2019, Macrophage spatial heterogeneity in gastric cancer defined by multiplex immunohistochemistry, Nature communications, 10, 3928, 10.1038/s41467-019-11788-4 · DOI
- Kennedy, B.C. , Showers, C.R. , Anderson, D.E. , Anderson, L. , Canoll, P. , Bruce, J.N. , and Anderson, R.C. (2013). Tumor-associated macrophages in glioma: friend or foe? Journal of oncology 2013. · DOI
- 10.1016/j.cell.2021.12.043 · DOI
- 2020, Onco-fetal reprogramming of endothelial cells drives immunosuppressive macrophages in hepatocellular carcinoma, Cell, 183, 377, 10.1016/j.cell.2020.08.040 · DOI · Paper page
- 10.1016/j.yexcr.2015.10.017 · DOI
- 2023, Transcriptomic Analysis of Macrophage Polarization Protocols: Vitamin D3 or IL-4 and IL-13 Do Not Polarize THP-1 Monocytes into Reliable M2 Macrophages, Biomedicines, 11, 608, 10.3390/biomedicines11020608 · DOI
- 10.1146/annurev-bioeng-062117-121224 · DOI · Paper page
- 10.1016/j.cell.2017.04.016 · DOI
- 10.1016/j.ccell.2018.10.006 · DOI
- 10.1038/nature19834 · DOI
- 2021, Redirecting macrophage function to sustain their “defender” antitumor activity, Cancer Cell, 39, 734, 10.1016/j.ccell.2021.03.002 · DOI
- 10.1016/j.celrep.2017.03.015 · DOI
- 10.1002/pmic.201600018 · DOI
- 10.1016/j.celrep.2021.109955 · DOI · Paper page
- 2015, Novel Molecular Insights into Classical and Alternative Activation States of Microglia as Revealed by Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC)-based Proteomics*[S], Molecular & Cellular Proteomics, 14, 3173, 10.1074/mcp.M115.053926 · DOI
- 10.1021/acs.jproteome.7b00828 · DOI
- 2021, Comparative proteomic analysis of polarized human THP-1 and mouse RAW264. 7 macrophages, Frontiers in Immunology, 12, 700009, 10.3389/fimmu.2021.700009 · DOI
- 2022, Quantitative proteomics of polarised macrophages derived from induced pluripotent stem cells, Biomedicines, 10, 239, 10.3390/biomedicines10020239 · DOI
- 2022, Proteomic characterization of phagocytic primary human monocyte-derived macrophages, RSC Chemical Biology, 3, 783, 10.1039/D2CB00076H · DOI
- 2023, Cellular Heterogeneity of Activated Primary Human Macrophages and Associated Drug–Gene Networks: From Biology to Precision Therapeutics, Circulation, 148, 1459, 10.1161/CIRCULATIONAHA.123.064794 · DOI
- 2017, Transcriptome analysis of IL-10-stimulated (M2c) macrophages by next-generation sequencing, Immunobiology, 222, 847, 10.1016/j.imbio.2017.02.006 · DOI
- 10.1093/nar/gky401 · DOI
- 10.1161/ATVBAHA.116.307573 · DOI
- 10.1038/s41598-020-77455-7 · DOI
- 10.1371/journal.pone.0208602 · DOI
- 2020, Large-scale production of human iPSC-derived macrophages for drug screening, International journal of molecular sciences, 21, 4808, 10.3390/ijms21134808 · DOI
- 2018, Context-enriched interactome powered by proteomics helps the identification of novel regulators of macrophage activation, Elife, 7, e37059, 10.7554/eLife.37059 · DOI
- 2022, Integrated proteomic and transcriptomic landscape of macrophages in mouse tissues, Nature Communications, 13, 7389, 10.1038/s41467-022-35095-7 · DOI
- 2022, Multiomic characterization of pancreatic cancer-associated macrophage polarization reveals deregulated metabolic programs driven by the GM-CSF–PI3K pathway, Elife, 11, e73796, 10.7554/eLife.73796 · DOI · Paper page
- 2016, Model-based characterization of inflammatory gene expression patterns of activated macrophages, PLoS computational biology, 12, e1005018, 10.1371/journal.pcbi.1005018 · DOI
- 2008, Macrophage activation and polarization, Frontiers in Bioscience-Landmark, 13, 453, 10.2741/2692 · DOI · Paper page
- 10.1146/annurev-physiol-022516-034339 · DOI · Paper page
- 2021, S-1-Propenylcysteine promotes IL-10-induced M2c macrophage polarization through prolonged activation of IL-10R/STAT3 signaling, Scientific Reports, 11, 22469, 10.1038/s41598-021-01866-3 · DOI · Paper page
- 10.1111/sji.12162 · DOI
- 10.1038/s41598-017-08121-8 · DOI
- 2019, M2a and M2b macrophages predominate in kidney tissues and M2 subpopulations were associated with the severity of disease of IgAN patients, Clinical Immunology, 205, 8, 10.1016/j.clim.2019.05.005 · DOI
- 10.1016/S1471-4906(02)02302-5 · DOI · Paper page
- 2022, Effect of stimulation time on the expression of human macrophage polarization markers, PloS one, 17, e0265196, 10.1371/journal.pone.0265196 · DOI
- 2016, The MaxQuant computational platform for mass spectrometry-based shotgun proteomics, Nature protocols, 11, 2301, 10.1038/nprot.2016.136 · DOI
- 10.1038/nbt.1511 · DOI · Paper page
- 10.1038/nri3210 · DOI
- 10.1038/nri3344 · DOI
- Martinez, F.O. , and Gordon, S. (2014). The M1 and M2 paradigm of macrophage activation: time for reassessment. F1000prime reports 6. · DOI · Paper page
- 2015, Biomaterial based modulation of macrophage polarization: a review and suggested design principles, Materials Today, 18, 313, 10.1016/j.mattod.2015.01.019 · DOI · Paper page
- 10.1146/annurev.immunol.19.1.683 · DOI · Paper page
- 2012, Efficient clearance of early apoptotic cells by human macrophages requires M2c polarization and MerTK induction, The Journal of Immunology, 189, 3508, 10.4049/jimmunol.1200662 · DOI
- 10.1111/febs.15726 · DOI
- 2013, Post-translational modifications of PML: consequences and implications, Frontiers in oncology, 2, 210
- 10.1128/MCB.21.10.3314-3324.2001 · DOI
- Le, K. , Sun, J. , Ghaemmaghami, J. , Smith, M.R. , Ip, W.E. , Phillips, T. , and Gupta, M. (2023). Blockade of CCR1 induces a phenotypic shift in macrophages and triggers a favorable antilymphoma activity. Blood Advances. · DOI
- 10.1101/gad.1773109 · DOI
- Jha, A. , Ahad, A. , Mishra, G.P. , Sen, K. , Smita, S. , Minz, A.P. , Biswas, V.K. , Tripathy, A. , Senapati, S. , and Gupta, B. (2022). SMRT and NCoR1 fine-tune inflammatory versus tolerogenic balance in dendritic cells by differentially regulating STAT3 signaling. Frontiers in Immunology, 5330. · DOI
- Alasady, M.J. , and Mendillo, M.L. (2020). The multifaceted role of HSF1 in tumorigenesis. HSF1 and Molecular Chaperones in Biology and Cancer, 69–85. · DOI
- 2022, Transcription factor MAFB as a prognostic biomarker for the lung adenocarcinoma, International Journal of Molecular Sciences, 23, 9945, 10.3390/ijms23179945 · DOI
- 10.1016/j.cell.2016.06.009 · DOI
- Byeon, S.E. , Yi, Y.-S. , Oh, J. , Yoo, B.C. , Hong, S. , and Cho, J.Y. (2012). The role of Src kinase in macrophage-mediated inflammatory responses. Mediators of inflammation 2012. · DOI
- 10.1016/j.molcel.2004.11.055 · DOI
- 2022, β-elemene regulates M1-M2 macrophage balance through the ERK/JNK/P38 MAPK signaling pathway, Communications Biology, 5, 519, 10.1038/s42003-022-03369-x · DOI
- 2008, MAST3: a novel IBD risk factor that modulates TLR4 signaling, Genes & Immunity, 9, 602, 10.1038/gene.2008.57 · DOI
- 2004, Microtubule-associated serine/threonine kinase-205 kDa and Fcγ receptor control IL-12 p40 synthesis and NF-κB activation, The Journal of Immunology, 172, 2559, 10.4049/jimmunol.172.4.2559 · DOI
- 10.1182/bloodadvances.2017007435 · DOI
- 2020, WNK1–TAK1 signaling suppresses lipopolysaccharide-induced cytokine production and classical activation in macrophages, Biochemical and Biophysical Research Communications, 533, 1290, 10.1016/j.bbrc.2020.10.007 · DOI
- 10.1074/jbc.RA119.011842 · DOI
- Meraz, I.M. , Majidi, M. , Fang, B. , Meng, F. , Gao, L. , Shao, R. , Song, R. , Li, F. , Ha, M.J. , and Wang, Q. (2021). 3-Phosphoinositide-dependent kinase 1 drives acquired resistance to osimertinib. bioRxiv, 2021.2012. 2010.472153. · DOI
- 10.1189/jlb.0506350 · DOI
- 10.1111/j.1365-2567.2007.02670.x · DOI
- 10.1016/j.cellsig.2006.05.005 · DOI
- 10.1371/journal.pone.0177161 · DOI
- 10.1098/rsob.140178 · DOI
- 10.1093/emboj/19.4.496 · DOI
- 2021, EGCG promotes PRKCA expression to alleviate LPS-induced acute lung injury and inflammatory response, Scientific Reports, 11, 11014, 10.1038/s41598-021-90398-x · DOI
- Sears, J.C. , and Broadie, K. (2020). FMRP-PKA activity negative feedback regulates RNA binding-dependent fibrillation in brain learning and memory circuitry. Cell reports 33. · DOI
- 2013, PKA: lessons learned after twenty years, Biochimica et Biophysica Acta (BBA)-Proteins and Proteomics, 1834, 1271, 10.1016/j.bbapap.2013.03.007 · DOI
- Na, Y.R. , Kwon, J.W. , Chung, H. , Song, J. , Jung, D. , Quan, H. , Kim, D. , Kim, J.-S. , Ju, Y.W. , and Han, W. (2020). Protein kinase A catalytic subunit is a molecular switch that promotes the pro-tumoral function of macrophages. Cell Reports 31. · DOI
- 2023, Computational systems approach towards phosphoproteomics and their downstream regulation, Proteomics, 23, 2200068, 10.1002/pmic.202200068 · DOI
- Johnson, J.L. , Yaron, T.M. , Huntsman, E.M. , Kerelsky, A. , Song, J. , Regev, A. , Lin, T.-Y. , Liberatore, K. , Cizin, D.M. , and Cohen, B.M. (2023). An atlas of substrate specificities for the human serine/threonine kinome. Nature, 1–8. · DOI
- Baumann, D. , Drebant, J. , Hägele, T. , Burger, L. , Serger, C. , Lauenstein, C. , Dudys, P. , Erdmann, G. , and Offringa, R. (2021). p38 MAPK signaling in M1 macrophages results in selective elimination of M2 macrophages by MEK inhibition. Journal for Immunotherapy of Cancer 9. · DOI
- 10.1186/s12866-017-0931-8 · DOI
- 10.1038/emboj.2013.2 · DOI
- 10.1073/pnas.1318306111 · DOI · Paper page
- 2019, CaMKK2 in myeloid cells is a key regulator of the immune-suppressive microenvironment in breast cancer, Nature Communications, 10, 2450, 10.1038/s41467-019-10424-5 · DOI
- 2014, KinomeXplorer: an integrated platform for kinome biology studies, Nature methods, 11, 603, 10.1038/nmeth.2968 · DOI
- 10.1093/nar/gkab359 · DOI
- 10.1093/nar/gkr1122 · DOI
- 10.1161/CIRCRESAHA.117.305860 · DOI · Paper page
- 10.1161/ATVBAHA.109.191189 · DOI
- 10.1038/nature05894 · DOI · Paper page
- 10.1093/nar/gkx1013 · DOI
- 2016, Analyzing and interpreting genome data at the network level with ConsensusPathDB, Nature protocols, 11, 1889, 10.1038/nprot.2016.117 · DOI
- 2019, KLF2 in myeloid lineage cells regulates the innate immune response during skeletal muscle injury and regeneration, Iscience, 17, 334, 10.1016/j.isci.2019.07.009 · DOI
- 10.1016/j.socnet.2004.11.009 · DOI
- 2018, The key role of c-Fos for immune regulation and bacterial dissemination in Brucella infected macrophage, Frontiers in Cellular and Infection Microbiology, 8, 287, 10.3389/fcimb.2018.00287 · DOI
- 2012, Therapeutic applications of macrophage colony-stimulating factor-1 (CSF-1) and antagonists of CSF-1 receptor (CSF-1R) signaling. Blood, The Journal of the American Society of Hematology, 119, 1810
- 2023, CSF1R inhibitors are emerging immunotherapeutic drugs for cancer treatment, European Journal of Medicinal Chemistry, 245, 114884, 10.1016/j.ejmech.2022.114884 · DOI
- 2020, MONET: a toolbox integrating top-performing methods for network modularization, Bioinformatics, 36, 3920, 10.1093/bioinformatics/btaa236 · DOI
- 10.1038/nature11247 · DOI · Paper page
- 10.3324/haematol.2013.094243 · DOI
- 2020, Single cell RNA sequencing of human microglia uncovers a subset associated with Alzheimer’s disease, Nature communications, 11, 6129, 10.1038/s41467-020-19737-2 · DOI · Paper page
- 10.1016/j.immuni.2014.06.008 · DOI · Paper page
- 10.1016/j.cell.2018.05.060 · DOI · Paper page
- 10.1038/s41586-022-05672-3 · DOI
- 10.1038/s41586-022-05680-3 · DOI
- 2019, B cells sustain inflammation and predict response to immune checkpoint blockade in human melanoma, Nature communications, 10, 4186, 10.1038/s41467-019-12160-2 · DOI
- 10.1111/imcb.12236 · DOI
- 2021, Classic and new mediators for in vitro modelling of human macrophages, Journal of Leucocyte Biology, 109, 549, 10.1002/JLB.1RU0620-018R · DOI
- Isakov, N. (2018). Protein kinase C (PKC) isoforms in cancer, tumor promotion and tumor suppression. (Elsevier), pp. 36–52. · DOI
- 10.1016/j.ccell.2023.06.009 · DOI
- 2020, Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries, Nature communications, 11, 787, 10.1038/s41467-020-14609-1 · DOI
- 2023, An optogenetic-phosphoproteomic study reveals dynamic Akt1 signaling profiles in endothelial cells, Nature Communications, 14, 3803, 10.1038/s41467-023-39514-1 · DOI
- 2023, Phosphoproteomic analysis of metformin signaling in colorectal cancer cells elucidates mechanism of action and potential therapeutic opportunities, Clinical and Translational Medicine, 13, e1179, 10.1002/ctm2.1179 · DOI
- 10.1016/j.virusres.2010.12.012 · DOI
- 10.1038/ni.3691 · DOI · Paper page
- 2022, LRRK2 correlates with macrophage infiltration in pan-cancer, Genomics, 114, 316, 10.1016/j.ygeno.2021.11.037 · DOI
- 10.1038/nri.2017.49 · DOI
- Canale, F.P. , Neumann, J. , von Renesse, J. , Loggi, E. , Pecoraro, M. , Vogel, I. , Zoppi, G. , Antonini, G. , Wolf, T. , and Jin, W. (2023). Proteomics of immune cells from liver tumors reveals immunotherapy targets. Cell Genomics. · DOI
- Ghosh, P. , Sinha, S. , Katkar, G.D. , Vo, D. , Taheri, S. , Dang, D. , Das, S. , and Sahoo, D. (2023). Machine learning identifies signatures of macrophage reactivity and tolerance that predict disease outcomes. EBioMedicine 94. · DOI
- 10.1126/science.ade2292 · DOI
- 2019, Genetic programming of macrophages to perform anti-tumor functions using targeted mRNA nanocarriers, Nature communications, 10, 3974, 10.1038/s41467-019-11911-5 · DOI
- 2021, Defects in macrophage reprogramming in cancer therapy: the negative impact of PD-L1/PD-1, Frontiers in Immunology, 12, 690869, 10.3389/fimmu.2021.690869 · DOI
- 2023, Reprogramming tumor-associated macrophages as a unique approach to target tumor immunotherapy, Frontiers in Immunology, 14, 1166487, 10.3389/fimmu.2023.1166487 · DOI
- 2022, Clinical relevance of tumour-associated macrophages, Nature reviews Clinical oncology, 19, 402, 10.1038/s41571-022-00620-6 · DOI
- 2018, PaDuA: a python library for high-throughput (Phospho) proteomics data analysis, Journal of proteome research, 18, 576
- 10.3389/fnins.2013.00237 · DOI
- 2020, SciPy 1.0: fundamental algorithms for scientific computing in Python, Nature methods, 17, 261, 10.1038/s41592-019-0686-2 · DOI · Paper page
- 2009, Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources, Nature protocols, 4, 44, 10.1038/nprot.2008.211 · DOI · Paper page
- 10.1016/J.CELL.2021.04.048 · DOI · Paper page
- 10.1038/s41590-018-0276-y · DOI · Paper page
- 10.1089/omi.2011.0118 · DOI · Paper page
- Dolgalev, I. (2022). {msigdbr: MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format. · DOI
- 10.1186/s12859-021-04034-6 · DOI
- 10.1101/gr.1239303 · DOI · Paper page
- Ma, W. , Kim, S. , Chowdhury, S. , Li, Z. , Yang, M. , Yoo, S. , Petralia, F. , Jacobsen, J. , Li, J.J. , and Ge, X. (2021). DreamAI: algorithm for the imputation of proteomics data. bioRxiv, 2020.2007. 2021.214205. · DOI
- 2016, ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization, Molecular BioSystems, 12, 477, 10.1039/C5MB00663E · DOI
- Nowicka, M. , and Robinson, M.D. (2016). DRIMSeq: a Dirichlet-multinomial framework for multivariate count outcomes in genomics. F1000Research 5. · DOI
- Anders, S. , Reyes, A. , and Huber, W. (2012). Detecting differential usage of exons from RNA-seq data. Nature Precedings, 1–1. · DOI
- 2014, Differential analysis of count data–the DESeq2 package, Genome Biol, 15, 10
- 10.1093/nar/gkv007 · DOI · Paper page
- 2009, Filter aided proteome preparation (FASP), Nature 713 Methods, 6, 359
- 10.1021/ac5025842 · DOI
- Türker, C. , Akal, F. , Joho, D. , Panse, C. , Barkow-Oesterreicher, S. , Rehrauer, H. , and Schlapbach, R. (2010). B-Fabric: the Swiss Army Knife for life sciences. pp. 717–720. · DOI
- 10.1093/nar/gkaa1100 · DOI · Paper page
- Kim, H.J. , Kim, T. , Hoffman, N.J. , Xiao, D. , James, D.E. , Humphrey, S.J. , and Yang, P. (2021). PhosR enables processing and functional analysis of phosphoproteomic data. Cell reports 34. · DOI
- 10.2307/2346101 · DOI
- Kohler, D. , Tsai, T.-H. , Verschueren, E. , Huang, T. , Hinkle, T. , Phu, L. , Choi, M. , and Vitek, O. (2023). MSstatsPTM: Statistical Relative Quantification of Posttranslational Modifications in Bottom-Up Mass Spectrometry-Based Proteomics. Molecular & Cellular Proteomics 22. · DOI
- 10.1093/nar/gkw1092 · DOI · Paper page
- 10.1093/nar/gkx1132 · DOI
- 10.1093/nar/gkz949 · DOI
- 2010, Phospho. ELM: a database of phosphorylation sites—update 2011, Nucleic acids research, 39, D261
- 2016, OmniPath: guidelines and gateway for literature-curated signaling pathway resources, Nature methods, 13, 966, 10.1038/nmeth.4077 · DOI
- 2019, A curated resource for phosphosite-specific signature analysis*[S], Molecular & cellular proteomics, 18, 576, 10.1074/mcp.TIR118.000943 · DOI
- 10.1016/j.molcel.2020.07.001 · DOI
- 2017, Salmon provides fast and bias-aware quantification of transcript expression, Nature methods, 14, 417, 10.1038/nmeth.4197 · DOI · Paper page
- 10.1093/nar/gkab1058 · DOI
- Soneson, C. , and Michael, I. Love , and Mark Robinson . 2015. “Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences.” F1000Research 4 (1521). · DOI · Paper page
- 10.1186/s13059-016-1145-3 · DOI
- 10.1093/nar/gky1131 · DOI · Paper page
- 10.1002/PRO.3978 · DOI · Paper page
- 10.1093/nar/gkr1088 · DOI
- 2015, CentiServer: a comprehensive resource, web-based application and R package for centrality analysis, PloS one, 10, e0143111, 10.1371/journal.pone.0143111 · DOI
- 10.1093/bioinformatics/bty819 · DOI
- 10.3724/SP.J.1087.2009.02191 · DOI
- 2019, Assessment of network module identification across complex diseases, Nature methods, 16, 843, 10.1038/s41592-019-0509-5 · DOI
- 2021, clusterProfiler 4.0: A universal enrichment tool for interpreting omics data, The Innovation, 2, 100141
- Gu, Z. , Gu, L. , Eils, R. , Schlesner, M. , and Brors, B. (2014). “Circlize” implements and enhances circular visualization in R. · DOI
- 10.1093/bioinformatics/btw313 · DOI
- 2009, Mapping identifiers for the integration of genomic datasets with the R/Bioconductor package biomaRt, Nature protocols, 4, 1184, 10.1038/nprot.2009.97 · DOI
- 10.1093/NAR/GKAB1038 · DOI · Paper page
Metadata
- Authors
- Totu, T., Bossart, J., Hast, K., Li, C., Rottmar, M., Sobottka, B., Yu, G., Ayala-Nunez, V., & Buljan, M.
- Affiliations
- SIB Swiss Institute of Bioinformatics (CH)
- Monash University (AU)
- Empa (CH)
- University of Zurich (CH)
- Tsinghua University (CN)
- Corresponding author
- Buljan, Marija
- ORCID
- Venue
- NAR Molecular Medicine
- Publisher
- openRxiv
- Published
- 2024-01-14
- Volume
- 2
- Issue
- 2
- Pages
- ugaf013-ugaf013
- ISSN
- 2976-856X (ISSN-L)
- PMC
- PMC12430007
- OpenAlex
- W4409788561
- Cited by
- 5
- References
- 1
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 1
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- NAR Molecular Medicine (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)) (submittedVersion, cc-by)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Cure Cancer Australia Foundation (CCAF2023)
- Eidgenössische Technische Hochschule Zürich
- Universität Zürich
- Uniscientia Stiftung
- Swiss Cancer Foundation
- Medical Research Council
- Australian Research Council (FT240100798)
- National Health and Medical Research Council (2037597)
- Functional Genomics Center Zurich
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
- Keywords
- macrophage polarization, immunosuppressive macrophages, inflammatory macrophages, tumor microenvironment, signaling pathways, PAK2, protein kinase C alpha, FOS, NCOR2, transcriptional regulation, phosphoproteomics, kinase activity, single-cell transcriptomics
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