{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T17:04:45Z","timestamp":1786122285291,"version":"build-2736575974"},"reference-count":29,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100021029","name":"FSBSI Scientific Research Institute of Neurosciences and Medicine","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100021029","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Placenta"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.placenta.2026.06.006","type":"journal-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T15:49:57Z","timestamp":1782143397000},"page":"140-149","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Evaluation of a deep generative computational framework under constrained conditions for multi-regional placental single-cell transcriptomic inference"],"prefix":"10.1016","volume":"182","author":[{"given":"Zhenjie","family":"Tang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuming","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shijing","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingyu","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongtao","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiwei","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Sheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fenxia","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3513-6501","authenticated-orcid":false,"given":"Xuexi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.placenta.2026.06.006_bib1","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.ajog.2010.08.009","article-title":"The \u201cGreat Obstetrical Syndromes\u201d are associated with disorders of deep placentation","volume":"204","author":"Brosens","year":"2011","journal-title":"Am. J. Obstet. Gynecol."},{"issue":"7","key":"10.1016\/j.placenta.2026.06.006_bib2","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1111\/j.1365-2362.1995.tb01730.x","article-title":"The fetal and infant origins of disease","volume":"25","author":"Barker","year":"1995","journal-title":"Eur. J. Clin. Invest."},{"issue":"5\u20136","key":"10.1016\/j.placenta.2026.06.006_bib3","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.thromres.2004.06.038","article-title":"Growth and function of the normal human placenta","volume":"114","author":"Gude","year":"2004","journal-title":"Thromb. Res."},{"key":"10.1016\/j.placenta.2026.06.006_bib4","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1016\/0002-9378(60)90512-3","article-title":"The microscopic anatomy of the human amnion and chorion","volume":"79","author":"Bourne","year":"1960","journal-title":"Am. J. Obstet. Gynecol."},{"key":"10.1016\/j.placenta.2026.06.006_bib5","doi-asserted-by":"crossref","DOI":"10.3389\/fphys.2021.653084","article-title":"Editorial: the role of the fetal membranes in pregnancy and birth","volume":"12","author":"Menon","year":"2021","journal-title":"Front. Physiol."},{"issue":"12","key":"10.1016\/j.placenta.2026.06.006_bib6","doi-asserted-by":"crossref","first-page":"1296","DOI":"10.1136\/jcp.2008.055277","article-title":"The anatomy of the normal placenta","volume":"61","author":"Huppertz","year":"2008","journal-title":"J Clin Pathol."},{"issue":"4","key":"10.1016\/j.placenta.2026.06.006_bib7","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1042\/CS20050323","article-title":"Searching for genetic clues to the causes of pre-eclampsia","volume":"110","author":"Chappell","year":"2006","journal-title":"Clin Sci (Lond)."},{"issue":"14","key":"10.1016\/j.placenta.2026.06.006_bib8","doi-asserted-by":"crossref","first-page":"5478","DOI":"10.1073\/pnas.0508035103","article-title":"Gene expression patterns in human placenta","volume":"103","author":"Sood","year":"2006","journal-title":"Proc Natl Acad Sci U S A."},{"key":"10.1016\/j.placenta.2026.06.006_bib9","doi-asserted-by":"crossref","first-page":"7861","DOI":"10.1038\/s41467-025-63185-9","article-title":"SpaIM: single-cell spatial transcriptomics imputation via style transfer","volume":"16","author":"Li","year":"2025","journal-title":"Nat. Commun."},{"key":"10.1016\/j.placenta.2026.06.006_bib10","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s12539-024-00603-4","article-title":"A review of the application of spatial transcriptomics in neuroscience","volume":"16","author":"Zhang","year":"2024","journal-title":"Interdiscip Sci Comput Life Sci"},{"issue":"5","key":"10.1016\/j.placenta.2026.06.006_bib11","doi-asserted-by":"crossref","DOI":"10.1093\/bib\/bbae388","article-title":"xSiGra: explainable model for single-cell spatial data elucidation","volume":"25","author":"Budhkar","year":"2024","journal-title":"Briefings Bioinf."},{"issue":"6","key":"10.1016\/j.placenta.2026.06.006_bib12","doi-asserted-by":"crossref","first-page":"R155","DOI":"10.1530\/REP-20-0231","article-title":"Single cell transcriptome research in human placenta","volume":"160","author":"Li","year":"2020","journal-title":"Reproduction"},{"issue":"6594","key":"10.1016\/j.placenta.2026.06.006_bib13","article-title":"Cross-tissue immune cell analysis reveals tissue-specific features in humans","volume":"376","author":"Dom\u00ednguez","year":"2022","journal-title":"Science"},{"key":"10.1016\/j.placenta.2026.06.006_bib14","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.58716","article-title":"Does the human placenta express the canonical cell entry mediators for SARS-CoV-2?","volume":"9","author":"Pique-Regi","year":"2020","journal-title":"eLife"},{"issue":"10","key":"10.1016\/j.placenta.2026.06.006_bib15","doi-asserted-by":"crossref","DOI":"10.1126\/sciadv.aau4788","article-title":"A single-cell survey of the human first-trimester placenta and decidua","volume":"4","author":"Suryawanshi","year":"2018","journal-title":"Sci. Adv."},{"issue":"7731","key":"10.1016\/j.placenta.2026.06.006_bib16","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1038\/s41586-018-0698-6","article-title":"Single-cell reconstruction of the early maternal-fetal interface in humans","volume":"563","author":"Vento-Tormo","year":"2018","journal-title":"Nature"},{"issue":"37","key":"10.1016\/j.placenta.2026.06.006_bib17","doi-asserted-by":"crossref","first-page":"E7786","DOI":"10.1073\/pnas.1710470114","article-title":"Integrative single-cell and cell-free plasma RNA transcriptomics elucidates placental cellular dynamics","volume":"114","author":"Tsang","year":"2017","journal-title":"Proc Natl Acad Sci U S A."},{"issue":"10","key":"10.1016\/j.placenta.2026.06.006_bib19","first-page":"687","article-title":"Two distinct molecular faces of preeclampsia revealed by single-cell transcriptomics","volume":"4","author":"Admati","year":"2023","journal-title":"M\u00e9d. Sur"},{"key":"10.1016\/j.placenta.2026.06.006_bib20","doi-asserted-by":"crossref","DOI":"10.3389\/fimmu.2023.1234577","article-title":"Single-cell profiling reveals immune disturbances landscape and HLA-F-mediated immune tolerance at the maternal-fetal interface in preeclampsia","volume":"14","author":"Luo","year":"2023","journal-title":"Front. Immunol."},{"issue":"1","key":"10.1016\/j.placenta.2026.06.006_bib21","doi-asserted-by":"crossref","first-page":"5989","DOI":"10.1038\/s41467-024-50150-1","article-title":"scSemiProfiler: advancing large-scale single-cell studies through semi-profiling with deep generative models and active learning","volume":"15","author":"Wang","year":"2024","journal-title":"Nat. Commun."},{"key":"10.1016\/j.placenta.2026.06.006_bib22","doi-asserted-by":"crossref","DOI":"10.1093\/burnst\/tkaf032","article-title":"Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing","volume":"13","author":"Cui","year":"2025","journal-title":"Burns Trauma"},{"key":"10.1016\/j.placenta.2026.06.006_bib23","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1186\/s12915-026-02557-z","article-title":"HiGLDP: a hierarchical graph neural network for predicting lncRNA-disease associations through multi-omic integration","volume":"24","author":"Wang","year":"2026","journal-title":"BMC Biol."},{"issue":"11","key":"10.1016\/j.placenta.2026.06.006_bib24","doi-asserted-by":"crossref","first-page":"7932","DOI":"10.1109\/JBHI.2024.3457271","article-title":"Integrative graph-based framework for predicting circRNA drug resistance using disease contextualization and deep learning","volume":"29","author":"Wang","year":"2025","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"Suppl 1","key":"10.1016\/j.placenta.2026.06.006_bib26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/ijgo.12802","article-title":"The International Federation of Gynecology and Obstetrics (FIGO) initiative on pre-eclampsia: a pragmatic guide for first-trimester screening and prevention","volume":"145","author":"Poon","year":"2019","journal-title":"Int. J. Gynaecol. Obstet."},{"key":"10.1016\/j.placenta.2026.06.006_bib27","doi-asserted-by":"crossref","DOI":"10.1016\/j.gene.2024.148789","article-title":"Non-invasive determination of gene expression in placental tissue using maternal plasma cell-free DNA fragmentation characters","volume":"928","author":"Li","year":"2024","journal-title":"Gene"},{"issue":"4","key":"10.1016\/j.placenta.2026.06.006_bib25","doi-asserted-by":"crossref","first-page":"410","DOI":"10.1093\/humupd\/dmae006","article-title":"Revealing the molecular landscape of human placenta: a systematic review and meta-analysis of single-cell RNA sequencing studies","volume":"30","author":"Derisoud","year":"2024","journal-title":"Hum. Reprod. Update"},{"issue":"7","key":"10.1016\/j.placenta.2026.06.006_bib28","doi-asserted-by":"crossref","DOI":"10.1016\/j.celrep.2023.112769","article-title":"Multimodal profiling of term human decidua demonstrates immune adaptations with pregravid obesity","volume":"42","author":"Sureshchandra","year":"2023","journal-title":"Cell Rep."},{"issue":"2","key":"10.1016\/j.placenta.2026.06.006_bib29","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.gpb.2020.11.002","article-title":"Single-cell immune landscape of human recurrent miscarriage","volume":"19","author":"Wang","year":"2021","journal-title":"Genom. Proteom. Bioinform."},{"issue":"D1","key":"10.1016\/j.placenta.2026.06.006_bib30","doi-asserted-by":"crossref","first-page":"D870","DOI":"10.1093\/nar\/gkac947","article-title":"CellMarker 2.0: an updated database of manually curated cell markers in human\/mouse and web tools based on scRNA-seq data","volume":"51","author":"Hu","year":"2023","journal-title":"Nucleic Acids Res."}],"container-title":["Placenta"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S014340042600295X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S014340042600295X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T08:43:52Z","timestamp":1786092232000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S014340042600295X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":29,"alternative-id":["S014340042600295X"],"URL":"https:\/\/doi.org\/10.1016\/j.placenta.2026.06.006","relation":{},"ISSN":["0143-4004"],"issn-type":[{"value":"0143-4004","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluation of a deep generative computational framework under constrained conditions for multi-regional placental single-cell transcriptomic inference","name":"articletitle","label":"Article Title"},{"value":"Placenta","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.placenta.2026.06.006","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}