{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:42:48Z","timestamp":1775148168310,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T00:00:00Z","timestamp":1728777600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T00:00:00Z","timestamp":1728777600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"The Gusu Health Talent Plan Research Project","award":["GSWS2023016"],"award-info":[{"award-number":["GSWS2023016"]}]},{"name":"This work was supported by The Science and Technology Program of Jiangsu Province","award":["BE2023734"],"award-info":[{"award-number":["BE2023734"]}]},{"name":"The Natural Science Foundation of Jiangsu province","award":["BK20221266"],"award-info":[{"award-number":["BK20221266"]}]},{"name":"The Multi-centre Clinical Research Project Fund for Major Diseases of Suzhou","award":["DZXYJ202311"],"award-info":[{"award-number":["DZXYJ202311"]}]},{"name":"The Science and Technology Development Plan of Suzhou","award":["SKYD2023199"],"award-info":[{"award-number":["SKYD2023199"]}]},{"name":"The Science and Technology Development Plan of Suzhou","award":["SKYD2022010"],"award-info":[{"award-number":["SKYD2022010"]}]},{"name":"The Zhangjiagang Health Talent Project","award":["ZJGWSRC202001"],"award-info":[{"award-number":["ZJGWSRC202001"]}]},{"name":"School-Land Collaborative Innovation Research Project of Jiangsu Pharmaceutical Vocational College","award":["20239602"],"award-info":[{"award-number":["20239602"]}]},{"name":"School-Land Collaborative Innovation Research Project of Jiangsu Pharmaceutical Vocational College","award":["20239609"],"award-info":[{"award-number":["20239609"]}]},{"name":"The Science and Technology Development Plan of Suzhou","award":["SKY2023016"],"award-info":[{"award-number":["SKY2023016"]}]},{"name":"The Science and Technology Development Plan of Suzhou","award":["SYS2022070"],"award-info":[{"award-number":["SYS2022070"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Assist Reprod Genet"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s10815-024-03286-4","type":"journal-article","created":{"date-parts":[[2024,10,13]],"date-time":"2024-10-13T22:01:27Z","timestamp":1728856887000},"page":"3517-3537","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Identification of necroptosis-related gene expression and the immune response in polycystic ovary syndrome"],"prefix":"10.1007","volume":"41","author":[{"given":"Xiuqin","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinghua","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lili","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9222-1473","authenticated-orcid":false,"given":"Wenting","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,13]]},"reference":[{"issue":"1","key":"3286_CR1","doi-asserted-by":"publisher","first-page":"e000548","DOI":"10.1136\/bmjmed-2023-000548","volume":"2","author":"J Dong","year":"2023","unstructured":"Dong J, Rees DA. Polycystic ovary syndrome: pathophysiology and therapeutic opportunities. BMJ Med. 2023;2(1):e000548. https:\/\/doi.org\/10.1136\/bmjmed-2023-000548.","journal-title":"BMJ Med"},{"key":"3286_CR2","doi-asserted-by":"publisher","first-page":"1027945","DOI":"10.3389\/fendo.2022.1027945","volume":"13","author":"N Shi","year":"2022","unstructured":"Shi N, Ma HB. Global trends in polycystic ovary syndrome research: a 10-year bibliometric analysis. Front Endocrinol (Lausanne). 2022;13:1027945. https:\/\/doi.org\/10.3389\/fendo.2022.1027945.","journal-title":"Front Endocrinol (Lausanne)"},{"issue":"1","key":"3286_CR3","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/s12902-022-01208-y","volume":"23","author":"S Cowan","year":"2023","unstructured":"Cowan S, Lim S, Alycia C, et al. Lifestyle management in polycystic ovary syndrome\u2013beyond diet and physical activity. BMC Endocr Disord. 2023;23(1):14. https:\/\/doi.org\/10.1186\/s12902-022-01208-y.","journal-title":"BMC Endocr Disord"},{"issue":"3","key":"3286_CR4","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1016\/j.cmet.2021.01.004","volume":"33","author":"NEH Mimouni","year":"2021","unstructured":"Mimouni NEH, Paiva I, Barbotin AL, et al. Polycystic ovary syndrome is transmitted via a transgenerational epigenetic process. Cell Metab. 2021;33(3):513-30. e8. https:\/\/doi.org\/10.1016\/j.cmet.2021.01.004.","journal-title":"Cell Metab"},{"key":"3286_CR5","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.cca.2022.04.234","volume":"531","author":"YY Luan","year":"2022","unstructured":"Luan YY, Zhang L, Peng YQ, et al. Immune regulation in polycystic ovary syndrome. Clin Chim Acta. 2022;531:265\u201372. https:\/\/doi.org\/10.1016\/j.cca.2022.04.234.","journal-title":"Clin Chim Acta"},{"key":"3286_CR6","doi-asserted-by":"publisher","first-page":"1193992","DOI":"10.3389\/fendo.2023.1193992","volume":"14","author":"M Wang","year":"2023","unstructured":"Wang M, An K, Mprah R, et al. A novel model based on necroptosis to assess progression for polycystic ovary syndrome and identification of potential therapeutic drugs. Front Endocrinol. 2023;14:1193992. https:\/\/doi.org\/10.3389\/fendo.2023.1193992.","journal-title":"Front Endocrinol"},{"key":"3286_CR7","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1146\/annurev-immunol-112019-072301","volume":"39","author":"AG Snyder","year":"2021","unstructured":"Snyder AG, Oberst A. The antisocial network: cross talk between cell death programs in host defense. Annu Rev Immunol. 2021;39:77\u2013101. https:\/\/doi.org\/10.1146\/annurev-immunol-112019-072301.","journal-title":"Annu Rev Immunol"},{"issue":"1","key":"3286_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12929-019-0504-2","volume":"26","author":"GR Chaudhary","year":"2019","unstructured":"Chaudhary GR, Yadav PK, Yadav AK, et al. Necroptosis in stressed ovary. J Biomed Sci. 2019;26(1):1\u20136. https:\/\/doi.org\/10.1186\/s12929-019-0504-2.","journal-title":"J Biomed Sci"},{"issue":"1","key":"3286_CR9","doi-asserted-by":"publisher","first-page":"3417","DOI":"10.1038\/s41467-018-05979-8","volume":"9","author":"L Van Hoecke","year":"2018","unstructured":"Van Hoecke L, Van Lint S, Roose K, et al. Treatment with mRNA coding for the necroptosis mediator MLKL induces antitumor immunity directed against neo-epitopes. Nat Commun. 2018;9(1):3417. https:\/\/doi.org\/10.1038\/s41467-018-05979-8.","journal-title":"Nat Commun"},{"issue":"17","key":"3286_CR10","doi-asserted-by":"publisher","first-page":"3214","DOI":"10.1016\/j.cell.2022.06.038","volume":"185","author":"CG Weindel","year":"2022","unstructured":"Weindel CG, Martinez EL, Zhao X, et al. Mitochondrial ROS promotes susceptibility to infection via gasdermin D-mediated necroptosis. Cell. 2022;185(17):3214-31. e23. https:\/\/doi.org\/10.1016\/j.cell.2022.06.038.","journal-title":"Cell"},{"issue":"1","key":"3286_CR11","doi-asserted-by":"publisher","first-page":"6166","DOI":"10.1038\/s41598-018-24661-z","volume":"8","author":"Y Du","year":"2018","unstructured":"Du Y, Bagnjuk K, Lawson MS, et al. Acetylcholine and necroptosis are players in follicular development in primates. Sci Rep. 2018;8(1):6166. https:\/\/doi.org\/10.1038\/s41598-018-24661-z.","journal-title":"Sci Rep"},{"key":"3286_CR12","doi-asserted-by":"publisher","first-page":"1193992","DOI":"10.3389\/fendo.2023.1193992","volume":"14","author":"M Wang","year":"2023","unstructured":"Wang M, An K, Huang J, et al. A novel model based on necroptosis to assess progression for polycystic ovary syndrome and identification of potential therapeutic drugs. Front Endocrinol (Lausanne). 2023;14:1193992. https:\/\/doi.org\/10.3389\/fendo.2023.1193992.","journal-title":"Front Endocrinol (Lausanne)"},{"issue":"13","key":"3286_CR13","doi-asserted-by":"publisher","first-page":"107837","DOI":"10.1016\/j.celrep.2020.107837","volume":"31","author":"CM Guardia","year":"2020","unstructured":"Guardia CM, Tan XF, Lian T, et al. Structure of human ATG9A, the only transmembrane protein of the core autophagy machinery. Cell Rep. 2020;31(13):107837. https:\/\/doi.org\/10.1016\/j.celrep.2020.107837.","journal-title":"Cell Rep"},{"issue":"6625","key":"3286_CR14","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.1126\/science.add6967","volume":"378","author":"J Huyghe","year":"2022","unstructured":"Huyghe J, Priem D, Van Hove L, et al. ATG9A prevents TNF cytotoxicity by an unconventional lysosomal targeting pathway. Science. 2022;378(6625):1201\u20137. https:\/\/doi.org\/10.1126\/science.add6967.","journal-title":"Science"},{"issue":"12","key":"3286_CR15","doi-asserted-by":"publisher","first-page":"3033","DOI":"10.1080\/15548627.2023.2238577","volume":"19","author":"M Samare-Najaf","year":"2023","unstructured":"Samare-Najaf M, Neisy A, Samareh A, et al. The constructive and destructive impact of autophagy on both genders\u2019 reproducibility, a comprehensive review. Autophagy. 2023;19(12):3033\u201361. https:\/\/doi.org\/10.1080\/15548627.2023.2238577.","journal-title":"Autophagy"},{"issue":"4","key":"3286_CR16","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1111\/jog.13292","volume":"43","author":"A Nakashima","year":"2017","unstructured":"Nakashima A, Aoki A, Kusabiraki T, et al. Role of autophagy in oocytogenesis, embryogenesis, implantation, and pathophysiology of pre-eclampsia. J Obstet Gynaecol Res. 2017;43(4):633\u201343. https:\/\/doi.org\/10.1111\/jog.13292.","journal-title":"J Obstet Gynaecol Res"},{"issue":"11","key":"3286_CR17","doi-asserted-by":"publisher","first-page":"105419","DOI":"10.1016\/j.isci.2022.105419","volume":"25","author":"S Pathmanathan","year":"2022","unstructured":"Pathmanathan S, Yao Z, Coelho P, et al. B cell linker protein (BLNK) is a regulator of Met receptor signaling and trafficking in non-small cell lung cancer. Iscience. 2022;25(11):105419. https:\/\/doi.org\/10.1016\/j.isci.2022.105419.","journal-title":"Iscience"},{"issue":"4","key":"3286_CR18","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1038\/s41423-021-00805-6","volume":"19","author":"Q Zhang","year":"2022","unstructured":"Zhang Q, Wu B, Weng Q, et al. Regeneration of immunocompetent B lymphopoiesis from pluripotent stem cells guided by transcription factors. Cell Mol Immunol. 2022;19(4):492\u2013503. https:\/\/doi.org\/10.1038\/s41423-021-00805-6.","journal-title":"Cell Mol Immunol"},{"issue":"4","key":"3286_CR19","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1016\/j.jaci.2013.01.046","volume":"131","author":"K Pieper","year":"2013","unstructured":"Pieper K, Grimbacher B, Eibel H. B-cell biology and development. J Allergy Clin Immunol. 2013;131(4):959\u201371. https:\/\/doi.org\/10.1016\/j.jaci.2013.01.046.","journal-title":"J Allergy Clin Immunol"},{"issue":"1","key":"3286_CR20","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/s13048-022-01021-0","volume":"15","author":"S Banerjee","year":"2022","unstructured":"Banerjee S, Mishra S, Xu W, et al. Neuregulin-1 signaling regulates cytokines and chemokines expression and secretion in granulosa cell. J Ovarian Res. 2022;15(1):86. https:\/\/doi.org\/10.1186\/s13048-022-01021-0.","journal-title":"J Ovarian Res."},{"key":"3286_CR21","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.mce.2019.02.014","volume":"486","author":"LlC Poulsen","year":"2019","unstructured":"Poulsen LlC, Englund ALM, Wissing MLM, et al. Human granulosa cells function as innate immune cells executing an inflammatory reaction during ovulation: a microarray analysis. Mol Cell Endocrinol. 2019;486:34\u201346. https:\/\/doi.org\/10.1016\/j.mce.2019.02.014.","journal-title":"Mol Cell Endocrinol"},{"issue":"10","key":"3286_CR22","doi-asserted-by":"publisher","first-page":"E2016","DOI":"10.1210\/jc.2011-3441","volume":"97","author":"S Kaur","year":"2012","unstructured":"Kaur S, Archer KJ, Devi MG, et al. Differential gene expression in granulosa cells from polycystic ovary syndrome patients with and without insulin resistance: identification of susceptibility gene sets through network analysis. J Clin Endocrinol Metab. 2012;97(10):E2016\u201321. https:\/\/doi.org\/10.1210\/jc.2011-3441.","journal-title":"J Clin Endocrinol Metab"},{"issue":"6","key":"3286_CR23","doi-asserted-by":"publisher","first-page":"e2466","DOI":"10.1371\/journal.pone.0002466.t001","volume":"3","author":"V Skov","year":"2008","unstructured":"Skov V, Glintborg D, Knudsen S, et al. Pioglitazone enhances mitochondrial biogenesis and ribosomal protein biosynthesis in skeletal muscle in polycystic ovary syndrome. PLoS one. 2008;3(6):e2466. https:\/\/doi.org\/10.1371\/journal.pone.0002466.t001.","journal-title":"PLoS one"},{"issue":"1","key":"3286_CR24","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1210\/jc.2006-1665","volume":"92","author":"M Cort\u00f3n","year":"2007","unstructured":"Cort\u00f3n M, Botella Carretero JI, Benguria A, et al. Differential gene expression profile in omental adipose tissue in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2007;92(1):328\u201337. https:\/\/doi.org\/10.1210\/jc.2006-1665.","journal-title":"J Clin Endocrinol Metab"},{"issue":"6","key":"3286_CR25","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1093\/bioinformatics\/bts034","volume":"28","author":"JT Leek","year":"2012","unstructured":"Leek JT, Johnson WE, Parker HS, et al. The sva package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics. 2012;28(6):882\u20133. https:\/\/doi.org\/10.1093\/bioinformatics\/bts034.","journal-title":"Bioinformatics"},{"issue":"6","key":"3286_CR26","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1016\/j.cels.2015.12.004","volume":"1","author":"A Liberzon","year":"2015","unstructured":"Liberzon A, Birger C, Thorvaldsd\u00f3ttir H, et al. The molecular signatures database hallmark gene set collection. Cell Syst. 2015;1(6):417\u201325. https:\/\/doi.org\/10.1016\/j.cels.2015.12.004.","journal-title":"Cell Syst"},{"key":"3286_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-14-244","volume":"14","author":"H Zhang","year":"2013","unstructured":"Zhang H, Meltzer P, Davis S. RCircos: an R package for Circos 2D track plots. BMC Bioinformatics. 2013;14:1\u20135. https:\/\/doi.org\/10.1186\/1471-2105-14-244.","journal-title":"BMC Bioinformatics"},{"issue":"D1","key":"3286_CR28","doi-asserted-by":"publisher","first-page":"D916","DOI":"10.1093\/nar\/gkaa1087","volume":"49","author":"A Frankish","year":"2021","unstructured":"Frankish A, Diekhans M, Jungreis I, et al. GENCODE 2021. Nucleic Acids Res. 2021;49(D1):D916\u201323. https:\/\/doi.org\/10.1093\/nar\/gkaa1087.","journal-title":"Nucleic Acids Res"},{"issue":"1","key":"3286_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13148-019-0730-1","volume":"11","author":"S Engebretsen","year":"2019","unstructured":"Engebretsen S, Bohlin J. Statistical predictions with glmnet. Clin Epigenetics. 2019;11(1):1\u20133. https:\/\/doi.org\/10.1186\/s13148-019-0730-1.","journal-title":"Clin Epigenetics"},{"issue":"3","key":"3286_CR30","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1002\/bimj.201800240","volume":"62","author":"RM Pfeiffer","year":"2020","unstructured":"Pfeiffer RM, Gail MH. Estimating the decision curve and its precision from three study designs. Biom J. 2020;62(3):764\u201376. https:\/\/doi.org\/10.1002\/bimj.201800240.","journal-title":"Biom J"},{"issue":"W1","key":"3286_CR31","doi-asserted-by":"publisher","first-page":"W60","DOI":"10.1093\/nar\/gky311","volume":"46","author":"M Franz","year":"2018","unstructured":"Franz M, Rodriguez H, Lopes C, et al. GeneMANIA update 2018. Nucleic Acids Res. 2018;46(W1):W60\u20134. https:\/\/doi.org\/10.1093\/nar\/gky311.","journal-title":"Nucleic Acids Res"},{"issue":"22","key":"3286_CR32","doi-asserted-by":"publisher","first-page":"2927","DOI":"10.1093\/bioinformatics\/btq562","volume":"26","author":"J Montojo","year":"2010","unstructured":"Montojo J, Zuberi K, Rodriguez H, et al. GeneMANIA Cytoscape plugin: fast gene function predictions on the desktop. Bioinformatics. 2010;26(22):2927\u20138. https:\/\/doi.org\/10.1093\/bioinformatics\/btq562.","journal-title":"Bioinformatics"},{"key":"3286_CR33","doi-asserted-by":"publisher","unstructured":"Kohl M, Wiese S, Warscheid B. Cytoscape: software for visualization and analysis of biological networks. Data mining in proteomics: from standards to applications. 2011;291\u2013303. https:\/\/doi.org\/10.1007\/978-1-60761-987-1_18.","DOI":"10.1007\/978-1-60761-987-1_18"},{"issue":"4","key":"3286_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1752-0509-8-S4-S11","volume":"8","author":"CH Chin","year":"2014","unstructured":"Chin CH, Chen SH, Wu HH, et al. cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Syst Biol. 2014;8(4):1\u20137. https:\/\/doi.org\/10.1186\/1752-0509-8-S4-S11.","journal-title":"BMC Syst Biol"},{"key":"3286_CR35","doi-asserted-by":"publisher","unstructured":"Kutmon M, Ehrhart F, Willighagen EL, et al. CyTargetLinker app update: a flexible solution for network extension in Cytoscape. FResearch. 2018;7:ELIXIR-743. https:\/\/doi.org\/10.12688\/f1000research.14613.2.","DOI":"10.12688\/f1000research.14613.2"},{"issue":"D1","key":"3286_CR36","doi-asserted-by":"publisher","first-page":"D92","DOI":"10.1093\/nar\/gkt1248","volume":"42","author":"JH Li","year":"2014","unstructured":"Li JH, Liu S, Zhou H, et al. starBase v2. 0: decoding miRNA-ceRNA, miRNA-ncRNA and protein\u2013RNA interaction networks from large-scale CLIP-Seq data. Nucleic Acids Res. 2014;42(D1):D92\u20137. https:\/\/doi.org\/10.1093\/nar\/gkt1248.","journal-title":"Nucleic Acids Res"},{"issue":"12","key":"3286_CR37","doi-asserted-by":"publisher","first-page":"1572","DOI":"10.1093\/bioinformatics\/btq170","volume":"26","author":"MD Wilkerson","year":"2010","unstructured":"Wilkerson MD, Hayes DN. ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking. Bioinformatics. 2010;26(12):1572\u20133. https:\/\/doi.org\/10.1093\/bioinformatics\/btq170.","journal-title":"Bioinformatics"},{"issue":"1","key":"3286_CR38","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/75556","volume":"25","author":"M Ashburner","year":"2000","unstructured":"Ashburner M, Ball CA, Blake JA, et al. Gene ontology: tool for the unification of biology. Nat Genet. 2000;25(1):25\u20139. https:\/\/doi.org\/10.1038\/75556.","journal-title":"Nat Genet"},{"key":"3286_CR39","doi-asserted-by":"publisher","unstructured":"Wu T, Hu E, Xu S, et al. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innov. 2021;2(3):100141. https:\/\/doi.org\/10.1016\/j.xinn.2021.100141.","DOI":"10.1016\/j.xinn.2021.100141"},{"issue":"5","key":"3286_CR40","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1089\/omi.2011.0118","volume":"16","author":"G Yu","year":"2012","unstructured":"Yu G, Wang L-G, Han Y, et al. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics: J Integr Biol. 2012;16(5):284\u20137. https:\/\/doi.org\/10.1089\/omi.2011.0118.","journal-title":"Omics: J Integr Biol"},{"issue":"43","key":"3286_CR41","doi-asserted-by":"publisher","first-page":"15545","DOI":"10.1073\/pnas.0506580102","volume":"102","author":"A Subramanian","year":"2005","unstructured":"Subramanian A, Tamayo P, Mootha VK, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci. 2005;102(43):15545\u201350. https:\/\/doi.org\/10.1073\/pnas.0506580102.","journal-title":"Proc Natl Acad Sci"},{"key":"3286_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/1471-2105-14-7","volume":"14","author":"S H\u00e4nzelmann","year":"2013","unstructured":"H\u00e4nzelmann S, Castelo R, Guinney J. GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics. 2013;14:1\u201315. https:\/\/doi.org\/10.1186\/1471-2105-14-7.","journal-title":"BMC Bioinformatics"},{"issue":"4","key":"3286_CR43","doi-asserted-by":"publisher","first-page":"782","DOI":"10.1016\/j.immuni.2013.10.003","volume":"39","author":"G Bindea","year":"2013","unstructured":"Bindea G, Mlecnik B, Tosolini M, et al. Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer. Immunity. 2013;39(4):782\u201395. https:\/\/doi.org\/10.1016\/j.immuni.2013.10.003.","journal-title":"Immunity"},{"issue":"7","key":"3286_CR44","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1038\/s41587-019-0114-2","volume":"37","author":"AM Newman","year":"2019","unstructured":"Newman AM, Steen CB, Liu CL, et al. Determining cell type abundance and expression from bulk tissues with digital cytometry. Nat Biotechnol. 2019;37(7):773\u201382. https:\/\/doi.org\/10.1038\/s41587-019-0114-2.","journal-title":"Nat Biotechnol"}],"container-title":["Journal of Assisted Reproduction and Genetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10815-024-03286-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10815-024-03286-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10815-024-03286-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,8]],"date-time":"2025-01-08T01:04:59Z","timestamp":1736298299000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10815-024-03286-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,13]]},"references-count":44,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["3286"],"URL":"https:\/\/doi.org\/10.1007\/s10815-024-03286-4","relation":{},"ISSN":["1058-0468","1573-7330"],"issn-type":[{"value":"1058-0468","type":"print"},{"value":"1573-7330","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,13]]},"assertion":[{"value":"10 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 October 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 October 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}