Identification of disease-specific cell subtypes (DSCSs) has profound implications for understanding disease mechanisms, preoperative diagnosis, and precision therapy. However, achieving unified annotation of DSCSs in heterogeneous single-cell datasets remains a challenge. In this study, we developed the gPRINT algorithm (generalized approach for cell subtype identification with single cell's voicePRINT). Inspired by the principles of speech recognition in noisy environments, gPRINT transforms gene position and gene expression information into voiceprints based on ordered and clustered gene expression phenomena, obtaining unique "gene print" patterns for each cell. Then, we integrated neural networks to mitigate the impact of background noise on cell identity label mapping. We demonstrated the reproducibility of gPRINT across different donors, single-cell sequencing platforms, and disease subtypes, and its utility for automatic cell subtype annotation across datasets. Moreover, gPRINT achieved higher annotation accuracy of 98.37% when externally validated based on the same tissue, surpassing other algorithms. Furthermore, this approach has been applied to fibrosis-associated diseases in multiple tissues throughout the body, as well as to the annotation of fibroblast subtypes in a single tissue, tendon, where fibrosis is prevalent. We successfully achieved automatic prediction of tendinopathy-specific cell subtypes, key targets, and related drugs. In summary, gPRINT provides an automated and unified approach for identifying DSCSs across datasets, facilitating the elucidation of specific cell subtypes under different disease states and providing a powerful tool for exploring therapeutic targets in diseases.
Humans ; Algorithms ; Single-Cell Analysis ; Databases, Genetic ; Molecular Sequence Annotation

OBJECTIVE: To observe the expression of progesterone receptor (PR), interleukin-1β (IL-1β), and cyclooxygenase-2 (COX-2) induced by lipopolysaccharide (LPS) or Toll-like receptor 4 antagonist (TLR4 mAb) in decidual cells in vitro, and then to explore the effect of LPS and its antagonist on PR of decidual cells and the relation between PR and inflammatory cytokines. METHODS: We isolated and cultured human decidua of early abortion in the sterile state. When the cells passaged to the 4th generation, the cells were randomly divided into 6 pore plates: A control group was added the culture medium alone; experimental group I was added 100 ng/mL of LPS; experimental group II was add 1 μg/mL of TLR4 mAb; experimental group III was added 3 μg/ mL of TLR4 mAb; experimental group IV was added 1 μg/mL of TLR4 mAb pretreatment for 24 h, and then 100 ng/mL LPS; and experimental group V was added 3 μg/mL of TLR4 mAb pretreatment for 24 h, and then 100 ng/mL LPS for 24 h culture. Subsequently, HE staining and immunofluorescence were used to observe the morphology and identify the purity of decidual cells in the 6 groups. The levels of mRNA expression of PR, IL-1β, and COX-2 were detected by reverse transcription PCR (RT-PCR). RESULTS: LPS reduced the mRNA expression of PR (P<0.05), increased the mRNA expression of IL-1β and COX-2 (P<0.05). TLR4 mAb increased the mRNA expression of PR (P<0.05) and reduced the mRNA expression of IL-1β (P<0.05) after LPS-stimulated decidual cells. High concentrations of TLR4 mAb reduced the mRNA expression of COX-2 (P<0.05) after LPS stimulated decidual cells. CONCLUSION The mRNA expression of PR is reduced, and the mRNA expressions of IL-1β and COX-2 are increased after LPS-stimulated decidual cells in vitro. TLR4 mAb antagonize the role of LPS on PR, IL-1β, and COX-2.
Adult ; Cells, Cultured ; Cyclooxygenase 2 ; genetics ; metabolism ; Decidua ; cytology ; metabolism ; Female ; Humans ; Interleukin-1beta ; genetics ; metabolism ; Lipopolysaccharides ; pharmacology ; RNA, Messenger ; genetics ; metabolism ; Receptors, Progesterone ; genetics ; metabolism ; Toll-Like Receptor 4 ; antagonists & inhibitors ; Young Adult

Objective To explore the relationship of acute infections of Epstein-Barr virus and hydrops fetalis and explore the harm to fetuses and the affection on pregnancy outcomes caused by acute EBV infection during pregnancy. Methods 40 cases hydrops fetalis were diagnosed by ultrasonography. The difference between the EBEA-IgM positive and negative patients blood were studied. 101 cases over the same period of pregnant women with normal fetuses were enrolled as a control group. Results The positive rate of EBEA-IgM in pregnant women (95%) was significantly higher than that of control group(48.5%,P＜0.01). And the differences of the ratio of still birth and live birth and abnormal fetuses induction of labor between the groups were statistically significant（P＜0.01）. Premature birth among the live birth (40%) was obviously higher than that of control group (10.9%,P＜0.05). Conclusions Active infection of EBV in pregnancy was relevant to the hydrops fetalis and there need to pay attention to the detection of EBV during pregnancy.