View in EDS

Quantitative proteomic profiling of placental extracellular vesicles in recurrent pregnancy loss reveals their role in feto-maternal crosstalk.

Saved in:
Bibliographic Details
Title: Quantitative proteomic profiling of placental extracellular vesicles in recurrent pregnancy loss reveals their role in feto-maternal crosstalk.
Authors: Bhardwaj C; Genetic Metabolic Unit, Department of Pediatrics, PGIMER, Advanced Pediatric Centre, Postgraduate Institute of Medical Education & Research, Sector-12, Chandigarh, 160012, India., Srivastava P; Genetic Metabolic Unit, Department of Pediatrics, PGIMER, Advanced Pediatric Centre, Postgraduate Institute of Medical Education & Research, Sector-12, Chandigarh, 160012, India. srivastavapriy@gmail.com., Bhadoriya RPS; Genetic Metabolic Unit, Department of Pediatrics, PGIMER, Advanced Pediatric Centre, Postgraduate Institute of Medical Education & Research, Sector-12, Chandigarh, 160012, India., Rohilla M; Department of Obstetrics & Gynaecology, Postgraduate Institute of Medical Education & Research, Sector-12, Chandigarh, 160012, India., Kaur A; Genetic Metabolic Unit, Department of Pediatrics, PGIMER, Advanced Pediatric Centre, Postgraduate Institute of Medical Education & Research, Sector-12, Chandigarh, 160012, India., Panigrahi I; Genetic Metabolic Unit, Department of Pediatrics, PGIMER, Advanced Pediatric Centre, Postgraduate Institute of Medical Education & Research, Sector-12, Chandigarh, 160012, India., Chopra S; Department of Obstetrics & Gynaecology, Postgraduate Institute of Medical Education & Research, Sector-12, Chandigarh, 160012, India.
Source: BMC pregnancy and childbirth [BMC Pregnancy Childbirth] 2026 Apr 09; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 09.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100967799 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2393 (Electronic) Linking ISSN: 14712393 NLM ISO Abbreviation: BMC Pregnancy Childbirth Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2393
DOI:10.1186/s12884-026-09030-3