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Related Concept Videos

Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Related Experiment Video

Updated: Jun 27, 2025

Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis
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Predicting Preterm Birth Using Cell-Free Ribonucleic Acid.

Alison D Cowan1, Morten Rasmussen2, Maneesh Jain3

  • 1Department of Medical Affairs, Mirvie, Inc., 651 Gateway Boulevard, Suite 1200, South San Francisco, CA 94080, USA.

Clinics in Perinatology
|May 5, 2024
PubMed
Summary
This summary is machine-generated.

Spontaneous preterm birth (sPTB) is complex and poorly understood, hindering prevention. Cell-free RNA signatures in maternal blood may identify sPTB subtypes for prediction and improved management.

Keywords:
Cell-free RNACervical insufficiencyEtiologyPreterm prelabor rupture of membranesScreening modelSpontaneous preterm birthTranscriptomics

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Area of Science:

  • Reproductive biology
  • Genomics
  • Maternal-fetal medicine

Background:

  • Spontaneous preterm birth (sPTB) is a leading cause of neonatal morbidity and mortality.
  • The underlying biological mechanisms of sPTB are not fully understood, limiting effective prevention strategies.

Purpose of the Study:

  • To explore the potential of cell-free ribonucleic acid (cfRNA) signatures in maternal circulation for classifying sPTB subtypes.
  • To investigate cfRNA signatures as biomarkers for predicting sPTB in asymptomatic individuals.

Main Methods:

  • Analysis of cfRNA profiles in maternal blood samples from individuals experiencing sPTB.
  • Bioinformatic analysis to identify distinct cfRNA signatures associated with sPTB subtypes.

Main Results:

  • Identification of specific cfRNA signatures associated with different sPTB subtypes.
  • Demonstration of the potential for cfRNA to differentiate between various causes or pathways of preterm birth.

Conclusions:

  • Cell-free RNA signatures hold promise for elucidating the heterogeneity of sPTB.
  • These biomarkers could enable early prediction, personalized prognosis, and targeted interventions for sPTB and related conditions.