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For: Gomez-Lopez N, Romero R, Hassan SS, Bhatti G, Berry SM, Kusanovic JP, Pacora P, Tarca AL. The Cellular Transcriptome in the Maternal Circulation During Normal Pregnancy: A Longitudinal Study. Front Immunol 2019;10:2863. [PMID: 31921132 DOI: 10.3389/fimmu.2019.02863] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 5.3] [Reference Citation Analysis]
Number Citing Articles
1 Yoo JY, Hyeon DY, Shin Y, Kim SM, You YA, Kim D, Hwang D, Kim YJ. Integrative analysis of transcriptomic data for identification of T-cell activation-related mRNA signatures indicative of preterm birth. Sci Rep 2021;11:2392. [PMID: 33504832 DOI: 10.1038/s41598-021-81834-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Miller D, Gershater M, Slutsky R, Romero R, Gomez-Lopez N. Maternal and fetal T cells in term pregnancy and preterm labor. Cell Mol Immunol 2020;17:693-704. [PMID: 32467619 DOI: 10.1038/s41423-020-0471-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
3 Cornish EF, Filipovic I, Åsenius F, Williams DJ, McDonnell T. Innate Immune Responses to Acute Viral Infection During Pregnancy. Front Immunol 2020;11:572567. [PMID: 33101294 DOI: 10.3389/fimmu.2020.572567] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
4 Tarca AL, Pataki BÁ, Romero R, Sirota M, Guan Y, Kutum R, Gomez-Lopez N, Done B, Bhatti G, Yu T, Andreoletti G, Chaiworapongsa T, Hassan SS, Hsu CD, Aghaeepour N, Stolovitzky G, Csabai I, Costello JC; DREAM Preterm Birth Prediction Challenge Consortium. Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth. Cell Rep Med 2021;2:100323. [PMID: 34195686 DOI: 10.1016/j.xcrm.2021.100323] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Porrett PM. Navigating the murky waters of maternal fetal tolerance: Put big data at the helm. Hum Immunol 2021;82:340-5. [PMID: 33589281 DOI: 10.1016/j.humimm.2021.01.015] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Shepherd R, Cheung AS, Pang K, Saffery R, Novakovic B. Sexual Dimorphism in Innate Immunity: The Role of Sex Hormones and Epigenetics. Front Immunol 2020;11:604000. [PMID: 33584674 DOI: 10.3389/fimmu.2020.604000] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 13.0] [Reference Citation Analysis]
7 Bowman CE, Arany Z, Wolfgang MJ. Regulation of maternal-fetal metabolic communication. Cell Mol Life Sci 2021;78:1455-86. [PMID: 33084944 DOI: 10.1007/s00018-020-03674-w] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
8 Kleinbrink EL, Gomez-Lopez N, Ju D, Done B, Goustin AS, Tarca AL, Romero R, Lipovich L. Gestational Age Dependence of the Maternal Circulating Long Non-Coding RNA Transcriptome During Normal Pregnancy Highlights Antisense and Pseudogene Transcripts. Front Genet 2021;12:760849. [PMID: 34880903 DOI: 10.3389/fgene.2021.760849] [Reference Citation Analysis]
9 Levenson D, Romero R, Garcia-Flores V, Miller D, Xu Y, Sahi A, Hassan SS, Gomez-Lopez N. The effects of advanced maternal age on T-cell subsets at the maternal-fetal interface prior to term labor and in the offspring: a mouse study. Clin Exp Immunol 2020;201:58-75. [PMID: 32279324 DOI: 10.1111/cei.13437] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
10 Espinosa C, Becker M, Marić I, Wong RJ, Shaw GM, Gaudilliere B, Aghaeepour N, Stevenson DK; Prematurity Research Center at Stanford. Data-Driven Modeling of Pregnancy-Related Complications. Trends Mol Med 2021;27:762-76. [PMID: 33573911 DOI: 10.1016/j.molmed.2021.01.007] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Valeff N, Muzzio DO, Matzner F, Dibo M, Golchert J, Homuth G, Abba MC, Zygmunt M, Jensen F. B cells acquire a unique and differential transcriptomic profile during pregnancy. Genomics 2021;113:2614-22. [PMID: 34118379 DOI: 10.1016/j.ygeno.2021.06.016] [Reference Citation Analysis]
12 Stelzer IA, Ghaemi MS, Han X, Ando K, Hédou JJ, Feyaerts D, Peterson LS, Rumer KK, Tsai ES, Ganio EA, Gaudillière DK, Tsai AS, Choisy B, Gaigne LP, Verdonk F, Jacobsen D, Gavasso S, Traber GM, Ellenberger M, Stanley N, Becker M, Culos A, Fallahzadeh R, Wong RJ, Darmstadt GL, Druzin ML, Winn VD, Gibbs RS, Ling XB, Sylvester K, Carvalho B, Snyder MP, Shaw GM, Stevenson DK, Contrepois K, Angst MS, Aghaeepour N, Gaudillière B. Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset. Sci Transl Med 2021;13:eabd9898. [PMID: 33952678 DOI: 10.1126/scitranslmed.abd9898] [Cited by in Crossref: 2] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
13 Huang X, Wang L, Zhao S, Liu H, Chen S, Wu L, Liu L, Ding J, Yang H, Maxwell A, Yin Z, Mor G, Liao A. Pregnancy Induces an Immunological Memory Characterized by Maternal Immune Alterations Through Specific Genes Methylation. Front Immunol 2021;12:686676. [PMID: 34163485 DOI: 10.3389/fimmu.2021.686676] [Reference Citation Analysis]
14 Motomura K, Romero R, Tarca AL, Galaz J, Bhatti G, Done B, Arenas-Hernandez M, Levenson D, Slutsky R, Hsu CD, Gomez-Lopez N. Pregnancy-specific transcriptional changes upon endotoxin exposure in mice. J Perinat Med 2020;48:700-22. [PMID: 32866128 DOI: 10.1515/jpm-2020-0159] [Reference Citation Analysis]