Maternal Plasma
Maternal Plasma - Related Videos
10:08
Determining the Role of Maternally-Expressed Genes in Early Development with Maternal Crispants
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2021
Early development is dependent on maternally-inherited products, and the role of many of these products is currently unknown. Herein, we described a protocol that uses CRISPR-Cas9 to identify maternal-effect phenotypes in a single generation.
09:17
Generation of Maternal Mutants Using zpc:cas9 Knock-in Zebrafish
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Cited by 1 •
2025
Here, we describe a protocol for generating maternal mutant that couples a stable zpc:cas9 knock-in line with Tol2-mediated delivery of sgRNA expression cassettes.
07:51
Isolation of Leukocytes from the Murine Tissues at the Maternal-Fetal Interface
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Cited by 44 •
2015
Described herein is a protocol to isolate and analyze the infiltrating leukocytes of tissues at the maternal-fetal interface (uterus, decidua, and placenta) of mice. This protocol maintains the integrity of most cell surface markers and yields enough viable cells for downstream applications including flow cytometry analysis.
06:55
Assessment of Maternal Vascular Remodeling During Pregnancy in the Mouse Uterus
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Cited by 29 •
2015
This protocol describes a technique to assess changes in the maternal vasculature during pregnancy in mice. Using stereological methods, remodeling of the decidual spiral arteries is assessed quantitatively and the results confirmed qualitatively using immunohistochemistry.
07:12
Profiling Maternal Behavior Responses During Whole-Brain Imaging
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2025
Presented here is a video analysis pipeline that overcomes challenges in behavioral monitoring within MRI environments, allowing for the detection of uninstructed behavioral responses to external cues. This analysis will facilitate a more comprehensive understanding of evoked internal state changes and brain-wide activity.
FAQs
Molecular concentrations and profiles in maternal plasma change with gestational age and physiological state. This means a measured protein, hormone, metabolite, extracellular vesicle, or cell-free nucleic acid must be interpreted in relation to when the sample was collected. Bioengineers can use these time-dependent patterns when designing detection systems intended to monitor changing maternal, placental, or fetal conditions.
Placental and maternal tissues release molecular components into circulation, creating a combined signal that reflects pregnancy biology. The resulting mixture can contain proteins, hormones, metabolites, extracellular vesicles, and cell-free nucleic acids with profiles that vary across physiological states. Distinguishing and measuring these signals supports efforts to identify biomarkers associated with maternal-fetal health and complications.
Each component class offers a different type of measurable information. Proteins and hormones can indicate biological activity, metabolites reflect changing physiological states, extracellular vesicles carry released material, and cell-free nucleic acids provide analyzable molecular profiles. This diversity allows engineers to select immunoassays, sequencing approaches, or biosensors that match the signal and measurement goal.
A typical analytical workflow begins by collecting blood and using centrifugation to remove blood cells, producing the plasma fraction. Researchers then measure selected components with immunoassays, examine nucleic-acid profiles through sequencing, or assess targets with biosensors. The chosen platform depends on whether the study seeks protein, hormone, metabolite, vesicle, or cell-free nucleic-acid information.
Maternal plasma provides a biologically relevant sample for testing whether an engineered detection platform can measure pregnancy-associated signals. Developers can assess how a biosensor or other assay responds to components present in circulation, including proteins, hormones, metabolites, extracellular vesicles, or cell-free nucleic acids. This evaluation connects device performance with potential minimally invasive maternal-fetal monitoring.
Analysis of maternal plasma can support minimally invasive diagnostic development, monitoring of placental and fetal health, and biomarker discovery for pregnancy complications. Because molecular profiles vary with gestational age and physiological state, longitudinal or context-aware measurements may help investigators relate circulating signals to maternal-fetal conditions and support more personalized approaches to care.