{"entity": "researcher", "timestamp": "2026-09-24T14:45:19.592Z", "family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "affiliations": ["Unit of Computational Medicine, Center for Molecular Medicine, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, & Science for Life Laboratory, Stockholm, Sweden."], "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f"}}, "publications": [{"entity": "publication", "iuid": "adc042fcdd614c269cab25ed6a5416cd", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/adc042fcdd614c269cab25ed6a5416cd.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/adc042fcdd614c269cab25ed6a5416cd"}}, "title": "Gene Regulatory Network of Human GM-CSF-Secreting T Helper Cells.", "authors": [{"family": "\u00c9li\u00e1s", "given": "Szabolcs", "initials": "S", "orcid": "0000-0003-0223-1251", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/954655569ef2434dafdb37a4b4a39562.json"}}, {"family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}}, {"family": "Gomez-Cabrero", "given": "David", "initials": "D"}, {"family": "Tegn\u00e9r", "given": "Jesper", "initials": "J", "orcid": "0000-0002-9568-5588", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b115e5faf68a4acbb6f947c711fd37ec.json"}}], "type": "journal article", "published": "2021-07-03", "journal": {"title": "J Immunol Res", "issn": "2314-7156", "volume": "2021", "pages": "8880585", "issn-l": null}, "abstract": "GM-CSF produced by autoreactive CD4-positive T helper cells is involved in the pathogenesis of autoimmune diseases, such as multiple sclerosis. However, the molecular regulators that establish and maintain the features of GM-CSF-positive CD4 T cells are unknown. In order to identify these regulators, we isolated human GM-CSF-producing CD4 T cells from human peripheral blood by using a cytokine capture assay. We compared these cells to the corresponding GM-CSF-negative fraction, and furthermore, we studied na\u00efve CD4 T cells, memory CD4 T cells, and bulk CD4 T cells from the same individuals as additional control cell populations. As a result, we provide a rich resource of integrated chromatin accessibility (ATAC-seq) and transcriptome (RNA-seq) data from these primary human CD4 T cell subsets and we show that the identified signatures are associated with human autoimmune diseases, especially multiple sclerosis. By combining information about mRNA expression, DNA accessibility, and predicted transcription factor binding, we reconstructed directed gene regulatory networks connecting transcription factors to their targets, which comprise putative key regulators of human GM-CSF-positive CD4 T cells as well as memory CD4 T cells. Our results suggest potential therapeutic targets to be investigated in the future in human autoimmune disease.", "doi": "10.1155/2021/8880585", "pmid": "34285924", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC8275380"}], "notes": [], "created": "2026-09-23T13:27:59.817Z", "modified": "2026-09-23T13:27:59.924Z"}, {"entity": "publication", "iuid": "fb9c950749934466967dd3d13085d9f9", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/fb9c950749934466967dd3d13085d9f9.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/fb9c950749934466967dd3d13085d9f9"}}, "title": "Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of Randomization.", "authors": [{"family": "Papoutsoglou", "given": "Georgios", "initials": "G", "orcid": "0000-0002-7266-2658", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/91f7cff6c7a343f49dadef61b1557995.json"}}, {"family": "Lagani", "given": "Vincenzo", "initials": "V", "orcid": "0000-0002-6552-6076", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a8832e0f50e14a23875a47949200ca6c.json"}}, {"family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}}, {"family": "Tsirlis", "given": "Konstantinos", "initials": "K"}, {"family": "Cabrero", "given": "David-G\u00f3mez", "initials": "DG", "orcid": "0000-0003-4186-3788", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a2f7905f6b864d3286b28b99dbb59627.json"}}, {"family": "Tegn\u00e9r", "given": "Jesper", "initials": "J", "orcid": "0000-0002-9568-5588", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b115e5faf68a4acbb6f947c711fd37ec.json"}}, {"family": "Tsamardinos", "given": "Ioannis", "initials": "I", "orcid": "0000-0002-2492-959X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d760c8cda394426fbcf21bd74f711120.json"}}], "type": "journal article", "published": "2019-11-00", "journal": {"title": "Cytometry A", "issn": "1552-4930", "volume": "95", "issue": "11", "pages": "1178-1190", "issn-l": "1552-4922"}, "abstract": "Cytometry by time-of-flight (CyTOF) has emerged as a high-throughput single cell technology able to provide large samples of protein readouts. Already, there exists a large pool of advanced high-dimensional analysis algorithms that explore the observed heterogeneous distributions making intriguing biological inferences. A fact largely overlooked by these methods, however, is the effect of the established data preprocessing pipeline to the distributions of the measured quantities. In this article, we focus on randomization, a transformation used for improving data visualization, which can negatively affect multivariate data analysis methods such as dimensionality reduction, clustering, and network reconstruction algorithms. Our results indicate that randomization should be used only for visualization purposes, but not in conjunction with high-dimensional analytical tools. \u00a9 2019 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.", "doi": "10.1002/cyto.a.23908", "pmid": "31692248", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC7027760"}], "notes": [], "created": "2026-09-23T12:41:10.072Z", "modified": "2026-09-23T12:41:10.277Z"}, {"entity": "publication", "iuid": "d24df6c6b15349f99348edb275fc845e", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/d24df6c6b15349f99348edb275fc845e.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/d24df6c6b15349f99348edb275fc845e"}}, "title": "Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients.", "authors": [{"family": "Fernandes", "given": "Sunjay Jude", "initials": "SJ", "orcid": "0000-0001-5763-0896", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/2377a176ec26472a9395540822ab97db.json"}}, {"family": "Morikawa", "given": "Hiromasa", "initials": "H"}, {"family": "Ewing", "given": "Ewoud", "initials": "E"}, {"family": "Ruhrmann", "given": "Sabrina", "initials": "S"}, {"family": "Joshi", "given": "Rubin Narayan", "initials": "RN"}, {"family": "Lagani", "given": "Vincenzo", "initials": "V"}, {"family": "Karathanasis", "given": "Nestoras", "initials": "N"}, {"family": "Khademi", "given": "Mohsen", "initials": "M", "orcid": "0000-0003-0801-1444", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/22f8dcc673264db484e284e484bc7311.json"}}, {"family": "Planell", "given": "Nuria", "initials": "N"}, {"family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}}, {"family": "Tsamardinos", "given": "Ioannis", "initials": "I", "orcid": "0000-0002-2492-959X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d760c8cda394426fbcf21bd74f711120.json"}}, {"family": "Olsson", "given": "Tomas", "initials": "T"}, {"family": "Piehl", "given": "Fredrik", "initials": "F", "orcid": "0000-0001-8329-5219", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/512835c06e9e476bbefa2734c08c8f7e.json"}}, {"family": "Kockum", "given": "Ingrid", "initials": "I"}, {"family": "Jagodic", "given": "Maja", "initials": "M"}, {"family": "Tegn\u00e9r", "given": "Jesper", "initials": "J"}, {"family": "Gomez-Cabrero", "given": "David", "initials": "D"}], "type": "journal article", "published": "2019-08-19", "journal": {"title": "Sci Rep", "issn": "2045-2322", "volume": "9", "issue": "1", "pages": "11996", "issn-l": "2045-2322"}, "abstract": "Multiple Sclerosis (MS) is an autoimmune disease of the central nervous system with prominent neurodegenerative components. The triggering and progression of MS is associated with transcriptional and epigenetic alterations in several tissues, including peripheral blood. The combined influence of transcriptional and epigenetic changes associated with MS has not been assessed in the same individuals. Here we generated paired transcriptomic (RNA-seq) and DNA methylation (Illumina 450 K array) profiles of CD4+ and CD8+ T cells (CD4, CD8), using clinically accessible blood from healthy donors and MS patients in the initial relapsing-remitting and subsequent secondary-progressive stage. By integrating the output of a differential expression test with a permutation-based non-parametric combination methodology, we identified 149 differentially expressed (DE) genes in both CD4 and CD8 cells collected from MS patients. Moreover, by leveraging the methylation-dependent regulation of gene expression, we identified the gene SH3YL1, which displayed significant correlated expression and methylation changes in MS patients. Importantly, silencing of SH3YL1 in primary human CD4 cells demonstrated its influence on T cell activation. Collectively, our strategy based on paired sampling of several cell-types provides a novel approach to increase sensitivity for identifying shared mechanisms altered in CD4 and CD8 cells of relevance in MS in small sized clinical materials.", "doi": "10.1038/s41598-019-48493-7", "pmid": "31427643", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC6700160"}, {"db": "pii", "key": "10.1038/s41598-019-48493-7"}], "notes": [], "created": "2026-09-23T10:16:28.138Z", "modified": "2026-09-23T10:55:02.306Z"}, {"entity": "publication", "iuid": "54b4b4e48fda466c91823651b501c531", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/54b4b4e48fda466c91823651b501c531.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/54b4b4e48fda466c91823651b501c531"}}, "title": "Gene regulatory network of human GM-CSF secreting T helper cells", "authors": [{"family": "\u00c9li\u00e1s", "given": "Szabolcs", "initials": "S", "orcid": "0000-0003-0223-1251", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/954655569ef2434dafdb37a4b4a39562.json"}}, {"family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}}, {"family": "Gomez-Cabrero", "given": "David", "initials": "D"}, {"family": "Tegn\u00e9r", "given": "Jesper", "initials": "J"}], "type": "posted-content", "published": "2019-02-20", "journal": {"issn-l": null}, "abstract": null, "doi": "10.1101/555433", "pmid": null, "labels": [], "xrefs": [], "notes": [], "created": "2026-09-23T14:39:46.420Z", "modified": "2026-09-23T14:39:46.497Z"}, {"entity": "publication", "iuid": "c05d376df6054171a9cae6436f5fd5f5", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/c05d376df6054171a9cae6436f5fd5f5.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/c05d376df6054171a9cae6436f5fd5f5"}}, "title": "Time-resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3.", "authors": [{"family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}}, {"family": "Marabita", "given": "Francesco", "initials": "F"}, {"family": "Kiani", "given": "Narsis A", "initials": "NA"}, {"family": "Gross", "given": "Catharina C", "initials": "CC"}, {"family": "Johansson", "given": "Henrik J", "initials": "HJ"}, {"family": "\u00c9li\u00e1s", "given": "Szabolcs", "initials": "S"}, {"family": "Rautio", "given": "Sini", "initials": "S"}, {"family": "Eriksson", "given": "Matilda", "initials": "M"}, {"family": "Fernandes", "given": "Sunjay Jude", "initials": "SJ"}, {"family": "Silberberg", "given": "Gilad", "initials": "G"}, {"family": "Ullah", "given": "Ubaid", "initials": "U"}, {"family": "Bhatia", "given": "Urvashi", "initials": "U"}, {"family": "L\u00e4hdesm\u00e4ki", "given": "Harri", "initials": "H"}, {"family": "Lehti\u00f6", "given": "Janne", "initials": "J"}, {"family": "Gomez-Cabrero", "given": "David", "initials": "D"}, {"family": "Wiendl", "given": "Heinz", "initials": "H"}, {"family": "Lahesmaa", "given": "Riitta", "initials": "R"}, {"family": "Tegn\u00e9r", "given": "Jesper", "initials": "J"}], "type": "journal article", "published": "2018-05-07", "journal": {"title": "BMC Biol.", "issn": "1741-7007", "volume": "16", "issue": "1", "pages": "47", "issn-l": "1741-7007"}, "abstract": "Regulatory T cells (Tregs) expressing the transcription factor FOXP3 are crucial mediators of self-tolerance, preventing autoimmune diseases but possibly hampering tumor rejection. Clinical manipulation of Tregs is of great interest, and first-in-man trials of Treg transfer have achieved promising outcomes. Yet, the mechanisms governing induced Treg (iTreg) differentiation and the regulation of FOXP3 are incompletely understood.\n\nTo gain a comprehensive and unbiased molecular understanding of FOXP3 induction, we performed time-series RNA sequencing (RNA-Seq) and proteomics profiling on the same samples during human iTreg differentiation. To enable the broad analysis of universal FOXP3-inducing pathways, we used five differentiation protocols in parallel. Integrative analysis of the transcriptome and proteome confirmed involvement of specific molecular processes, as well as overlap of a novel iTreg subnetwork with known Treg regulators and autoimmunity-associated genes. Importantly, we propose 37 novel molecules putatively involved in iTreg differentiation. Their relevance was validated by a targeted shRNA screen confirming a functional role in FOXP3 induction, discriminant analyses classifying iTregs accordingly, and comparable expression in an independent novel iTreg RNA-Seq dataset.\n\nThe data generated by this novel approach facilitates understanding of the molecular mechanisms underlying iTreg generation as well as of the concomitant changes in the transcriptome and proteome. Our results provide a reference map exploitable for future discovery of markers and drug candidates governing control of Tregs, which has important implications for the treatment of cancer, autoimmune, and inflammatory diseases.", "doi": "10.1186/s12915-018-0518-3", "pmid": "29730990", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC5937035"}, {"db": "pii", "key": "10.1186/s12915-018-0518-3"}], "notes": [], "created": "2018-12-05T12:41:10.160Z", "modified": "2026-09-23T09:14:41.555Z"}, {"entity": "publication", "iuid": "000b0bef10cb415fbae2b0ce0f6d7df6", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/000b0bef10cb415fbae2b0ce0f6d7df6.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/000b0bef10cb415fbae2b0ce0f6d7df6"}}, "title": "Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells.", "authors": [{"family": "Triantafillou", "given": "Sofia", "initials": "S", "orcid": "0000-0002-2535-0432", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/df47b3be59534eafa57b1fe83be67f71.json"}}, {"family": "Lagani", "given": "Vincenzo", "initials": "V", "orcid": "0000-0002-6552-6076", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/a8832e0f50e14a23875a47949200ca6c.json"}}, {"family": "Heinze-Deml", "given": "Christina", "initials": "C"}, {"family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}}, {"family": "Tegner", "given": "Jesper", "initials": "J"}, {"family": "Tsamardinos", "given": "Ioannis", "initials": "I", "orcid": "0000-0002-2492-959X", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/d760c8cda394426fbcf21bd74f711120.json"}}], "type": "journal article", "published": "2017-10-05", "journal": {"title": "Sci Rep", "issn": "2045-2322", "volume": "7", "issue": "1", "pages": "12724", "issn-l": "2045-2322"}, "abstract": "Learning the causal relationships that define a molecular system allows us to predict how the system will respond to different interventions. Distinguishing causality from mere association typically requires randomized experiments. Methods for automated causal discovery from limited experiments exist, but have so far rarely been tested in systems biology applications. In this work, we apply state-of-the art causal discovery methods on a large collection of public mass cytometry data sets, measuring intra-cellular signaling proteins of the human immune system and their response to several perturbations. We show how different experimental conditions can be used to facilitate causal discovery, and apply two fundamental methods that produce context-specific causal predictions. Causal predictions were reproducible across independent data sets from two different studies, but often disagree with the KEGG pathway databases. Within this context, we discuss the caveats we need to overcome for automated causal discovery to become a part of the routine data analysis in systems biology.", "doi": "10.1038/s41598-017-08582-x", "pmid": "28983114", "labels": [], "xrefs": [{"db": "pmc", "key": "PMC5629212"}, {"db": "pii", "key": "10.1038/s41598-017-08582-x"}], "notes": [], "created": "2018-12-05T12:55:15.084Z", "modified": "2026-09-23T11:38:58.920Z"}, {"entity": "publication", "iuid": "6844c0d1a4a642a9bf5936c323511779", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/6844c0d1a4a642a9bf5936c323511779.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/6844c0d1a4a642a9bf5936c323511779"}}, "title": "Predicting Causal Relationships from Biological Data: Applying Automated Casual Discovery on Mass Cytometry Data of Human Immune Cells", "authors": [{"family": "Triantafillou", "given": "Sofia", "initials": "S", "orcid": "0000-0002-2535-0432", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/df47b3be59534eafa57b1fe83be67f71.json"}}, {"family": "Lagani", "given": "Vincenzo", "initials": "V"}, {"family": "Heinze-Deml", "given": "Christina", "initials": "C"}, {"family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}}, {"family": "Tegner", "given": "Jesper", "initials": "J", "orcid": "0000-0002-9568-5588", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b115e5faf68a4acbb6f947c711fd37ec.json"}}, {"family": "Tsamardinos", "given": "Ioannis", "initials": "I"}], "type": "posted-content", "published": "2017-03-30", "journal": {"issn-l": null}, "abstract": null, "doi": "10.1101/122572", "pmid": null, "labels": [], "xrefs": [], "notes": [], "created": "2026-09-23T14:38:46.948Z", "modified": "2026-09-23T14:38:47.033Z"}, {"entity": "publication", "iuid": "408b0f6e50684216a3d0a7830c7d4934", "links": {"self": {"href": "https://publications-affiliated.scilifelab.se/publication/408b0f6e50684216a3d0a7830c7d4934.json"}, "display": {"href": "https://publications-affiliated.scilifelab.se/publication/408b0f6e50684216a3d0a7830c7d4934"}}, "title": "Human macrophages induce CD4(+)Foxp3(+) regulatory T cells via binding and re-release of TGF-\u03b2.", "authors": [{"family": "Schmidt", "given": "Angelika", "initials": "A", "orcid": "0000-0002-1185-3012", "researcher": {"href": "https://publications-affiliated.scilifelab.se/researcher/b87734e06e26439cb845fd45d1ed829f.json"}}, {"family": "Zhang", "given": "Xing-Mei", "initials": "XM"}, {"family": "Joshi", "given": "Rubin N", "initials": "RN"}, {"family": "Iqbal", "given": "Shasina", "initials": "S"}, {"family": "Wahlund", "given": "Casper", "initials": "C"}, {"family": "Gabrielsson", "given": "Susanne", "initials": "S"}, {"family": "Harris", "given": "Robert A", "initials": "RA"}, {"family": "Tegn\u00e9r", "given": "Jesper", "initials": "J"}], "type": "journal article", "published": "2016-09-00", "journal": {"title": "Immunol. Cell Biol.", "issn": "1440-1711", "volume": "94", "issue": "8", "pages": "747-762", "issn-l": "0818-9641"}, "abstract": "While pro-inflammatory immune responses are a requirement to combat microbes, uncontrolled self-directed inflammatory immune responses are the hallmark of autoimmune diseases. Restoration of immunological tolerance involves both suppression of ongoing tissue-destructive immune responses and re-education of the host immune system. Both functionally immunosuppressive macrophages (M2) and regulatory T cells (Tregs) are implicated in these processes. Their mutual interaction is synergistic in this context and adoptive transfer of each cell type has been functioning as immunotherapy in experimental models, being particularly effective when using M2 macrophages generated with an optimized interleukin-4 (IL-4)/interleukin-10 (IL-10)/transforming growth factor-\u03b2 (TGF-\u03b2) combination. As a prerequisite for eventual translation of M2 therapy into clinical settings we herein studied the induction, stability and mechanism of generation of human induced Tregs (iTregs) by M2 macrophages generated with IL-4/IL-10/TGF-\u03b2. The supernatants of monocyte-derived human M2 macrophages robustly induced FOXP3 and other Treg signature molecules such as CTLA-4 and IKZF4 in human na\u00efve CD4 T cells. M2-induced iTregs displayed enhanced FOXP3 stability and low expression of pro-inflammatory cytokines interferon-\u03b3 and IL-17, as well as functional immunosuppressive activity compared with control T cells. The FOXP3-inducing activity was dependent on TGF-\u03b2, which was both expressed and captured with re-release by M2 macrophages into the soluble supernatant fraction, in which the TGF-\u03b2 was not confined to extracellular vesicles such as exosomes. We propose that adoptive transfer of human M2 macrophages may be exploited in the future to induce Tregs in situ by delivering TGF-\u03b2, which could be developed as a therapeutic strategy to target autoimmune and other inflammatory diseases.", "doi": "10.1038/icb.2016.34", "pmid": "27075967", "labels": [], "xrefs": [{"db": "pii", "key": "icb201634"}], "notes": [], "created": "2018-12-05T10:09:48.459Z", "modified": "2026-09-23T07:38:27.851Z"}]}