In mammals with a hemochorial placenta (e.g., primates and rodents), the maternal and fetal bloodstreams are separated by the blood-placenta barrier. However, a few maternal cells in the general circulation pass through the barrier during normal pregnancy. So far, the transfer mechanism has not been investigated. In this study, we established a chemokine (C-C motif) ligand 3 (CCL3)-deficient mouse model to examine the effect of fetus-derived chemokine(s) on the migration of maternal cells through the blood-placenta barrier. Using this model, we obtained CCL3-positive and -negative littermates from a mother expressing both CCL3 and green fluorescent protein (GFP). The numbers of GFP positive maternal cells in the lung, liver, spleen and heart of CCL3-positive and -negative fetuses were compared. A few GFP-positive cells were detected in the lung and liver of both types of fetus. These results indicate that maternal cells can migrate through the blood-placenta barrier even in the absence of fetal CCL3.
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http://dx.doi.org/10.1292/jvms.10-0069 | DOI Listing |
J Med Virol
January 2025
Department of Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, P. R. China.
Small-cell neuroendocrine cancer (SCNEC) of the uterine cervix is an exceedingly rare, highly aggressive tumor with an extremely poor prognosis. The cellular heterogeneity, origin, and tumorigenesis trajectories of SCNEC of the cervix remain largely unclear. We performed single-cell RNA sequencing and whole-exome sequencing on tumor tissues and adjacent normal cervical tissues from two patients diagnosed with SCNEC of the cervix.
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View Article and Find Full Text PDFHematology
December 2025
Department of Pediatrics, Peking University First Hospital Ningxia Women and Children's Hospital (Ningxia Hui Autonomous Region Maternal and Child Health Hospital), Yinchuan, People's Republic of China.
Background: This study aimed to develop a prognostic model based on extracellular trap-related genes (NETRGs) for patients with cALL.
Methods: Data from the TARGET-ALL-P2 and TARGET-ALL-P3 cohorts in the Genomic Data Commons database, the transcriptome dataset GSE26713, the single-cell transcriptome dataset GSE130116 from the Gene Expression Omnibus database and 306 NETRGs identified were analysed. Differentially expressed genes (DEGs) were identified from GSE26713 and differentially expressed NETRGs (DE-NETRGs) were obtained by overlapping DEGs with NETRGs.
J Diabetes Investig
January 2025
Department of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
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View Article and Find Full Text PDFJ Clin Lab Anal
January 2025
Department of Laboratory Medicine, The Seventh People's Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
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