Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adding highly variable genes to spatially variable genes can improve cell type clustering performance in spatial transcriptomics data.

Bioinformatics advances·2026
Same author

Five-Feature Models to Predict Preeclampsia Onset Time From Electronic Health Record Data: Development and Validation Study.

Journal of medical Internet research·2024
Same author

Challenges and perspectives in computational deconvolution of genomics data.

Nature methods·2024
Same author

Deep learning and transfer learning identify breast cancer survival subtypes from single-cell imaging data.

Communications medicine·2023
Same author

Placentas delivered by pre-pregnant obese women have reduced abundance and diversity in the microbiome.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2021
Same author

Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data.

Bioinformatics (Oxford, England)·2021

Related Experiment Video

Updated: Dec 3, 2025

siRNA Transfection and EMSA Analyses on Freshly Isolated Human Villous Cytotrophoblasts
09:57

siRNA Transfection and EMSA Analyses on Freshly Isolated Human Villous Cytotrophoblasts

Published on: September 20, 2016

11.0K

Single cell transcriptome research in human placenta.

Hui Li1, Qianhui Huang2, Yu Liu1

  • 1Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.

Reproduction (Cambridge, England)
|October 28, 2020
PubMed
Summary

Single cell RNA sequencing (scRNA-seq) reveals diverse human placenta cell types and molecular interactions. This review covers scRNA-seq applications in normal and complicated pregnancies, aiding future research.

More Related Videos

Transcriptional Analysis by Nascent RNA FISH of In Vivo Trophoblast Giant Cells or In Vitro Short-term Cultures of Ectoplacental Cone Explants
08:26

Transcriptional Analysis by Nascent RNA FISH of In Vivo Trophoblast Giant Cells or In Vitro Short-term Cultures of Ectoplacental Cone Explants

Published on: August 31, 2016

8.3K
Isolation and Analysis of Hematopoietic Stem Cells from the Placenta
14:42

Isolation and Analysis of Hematopoietic Stem Cells from the Placenta

Published on: June 24, 2008

20.8K

Related Experiment Videos

Last Updated: Dec 3, 2025

siRNA Transfection and EMSA Analyses on Freshly Isolated Human Villous Cytotrophoblasts
09:57

siRNA Transfection and EMSA Analyses on Freshly Isolated Human Villous Cytotrophoblasts

Published on: September 20, 2016

11.0K
Transcriptional Analysis by Nascent RNA FISH of In Vivo Trophoblast Giant Cells or In Vitro Short-term Cultures of Ectoplacental Cone Explants
08:26

Transcriptional Analysis by Nascent RNA FISH of In Vivo Trophoblast Giant Cells or In Vitro Short-term Cultures of Ectoplacental Cone Explants

Published on: August 31, 2016

8.3K
Isolation and Analysis of Hematopoietic Stem Cells from the Placenta
14:42

Isolation and Analysis of Hematopoietic Stem Cells from the Placenta

Published on: June 24, 2008

20.8K

Area of Science:

  • Reproductive biology
  • Genomics
  • Computational biology

Background:

  • The human placenta is a complex organ crucial for fetal development.
  • Placental structural changes are linked to pregnancy complications like preeclampsia and preterm birth.
  • Understanding placental cell heterogeneity is key to addressing these complications.

Purpose of the Study:

  • To review the principles and applications of single cell RNA sequencing (scRNA-seq) in human placenta research.
  • To summarize recent scRNA-seq studies on placental development and pregnancy disorders.
  • To provide resources for computational analysis of placenta scRNA-seq data.

Main Methods:

  • Review of existing literature on human placenta single cell RNA sequencing (scRNA-seq) studies.
  • Summary of scRNA-seq applications across different gestational ages and pregnancy complications.
  • Identification and listing of publicly available computational analysis platforms and resources.

Main Results:

  • scRNA-seq has become a powerful tool for dissecting human placenta heterogeneity.
  • Studies have identified distinct placental cell populations and their roles in normal and pathological pregnancies.
  • Emerging data highlight molecular interactions within placental cells.

Conclusions:

  • scRNA-seq offers unprecedented insights into placental biology and disease.
  • Further research is needed to explore specific cell-cell interactions and develop targeted therapies.
  • Standardized computational approaches are essential for advancing the field.