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2,158 results for “fetal”
Towards a more informative representation of the fetal-neonatal brain connectome using Variational Autoencoder
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FETAL_PLANES_DB: Common maternal-fetal ultrasound images
<p>A large dataset of routinely acquired maternal-fetal screening ultrasound images collected from two different hospitals by several operators and ultrasound machines. All images were manually labeled by an expert maternal fetal clinician. Images are divided into 6 classes: four of the most widely used fetal anatomical planes (Abdomen, Brain, Femur and Thorax), the mother’s cervix (widely used for prematurity screening) and a general category to include any other less common image plane. Fetal brain images are further categorized into the 3 most common fetal brain planes (Trans-thalamic, Trans-cerebellum, Trans-ventricular) to judge fine grain categorization performance. Meta information (patient number, us machine, operator) is also provided, as well as the training-test split used in the Nature Sci Rep paper.</p>
The oxytocin-prostaglandins pathways in the horse (Equus caballus) placenta during pregnancy, physiological parturition, and parturition with fetal membrane retention
<p>Despite their importance in mammalian reproduction, substances in the oxytocin-prostaglandins pathways have not been investigated in the horse placenta during most of pregnancy and parturition. Therefore, we quantified placental content of oxytocin (OXT), oxytocin receptor (OXTR), and prostaglandin E2 and F2 alpha during days 90–240 of pregnancy (PREG), physiological parturition (PHYS), and parturition with fetal membrane retention (FMR) in heavy draft horses (PREG = 13, PHYS = 11, FMR = 10). We also quantified <i>OXTR</i> and<i> </i>prostaglandin endoperoxide synthase-2 (<i>PTGS2</i>) mRNA expression and determined the immunolocalization of OXT, OXTR, and PTGS2. For relative quantification of OXT and OXTR, we used western blotting with densitometry. To quantify the prostaglandins, we used enzyme immunoassays. For relative quantification of <i>OXTR</i> and <i>PTGS2</i>, we used RT-qPCR. For immunolocalization of OXT, OXTR, and PTGS2, we used immunohistochemistry. We found that OXT was present in cells of the allantochorion and endometrium in all groups. <i>PTGS2</i> expression in the allantochorion was 14.7-fold lower in FMR than in PHYS (<i>p</i> = 0.007). These results suggest that OXT is synthesized in the horse placenta. As PTGS2 synthesis is induced by inflammation, they also suggest that FMR in heavy draft horses may be associated with dysregulation of inflammatory processes.</p>
Human Placental Lactogen (Human Chorionic Somataomammotropin) and Oxytocin during Pregnancy: Individual Patterns and Association with Maternal-Fetal Attachment, Anxiety, and Depression
<p>Dataset from Human Placental Lactogen (Human Chorionic Somataomammotropin) and Oxytocin during Pregnancy: Individual Patterns and Association with Maternal-Fetal Attachment, Anxiety, and Depression</p>
Part 1: Differential ADAR editing landscapes during fetal development
<p>ADAR editing is a critical part of human brain development. Here we explore ADAR editing patterns in early development by studying human embryonic stem cells (hESC) that are differentiated into mesothelium, endothelium, neural crest cells, and pre-neural crest cells. To further explore fetal development we also used a study with fetal brain samples from 5 condensed regions and 3 gestational time points. We track editing patterns during these gestational weeks to study normal brain development to help understand the role of editing in neurodevelopmental, degenerative, and psychiatric disorders. These can potentially be used for clinical biomarkers. This is part 1 of the final vcf files for predicting RNA editing events in germ layer differentiation and early fetal development.</p>
Part 2: Differential ADAR editing landscapes during fetal development
<p>ADAR editing is a critical part of human brain development. Here we explore ADAR editing patterns in early development by studying human embryonic stem cells (hESC) that are differentiated into mesothelium, endothelium, neural crest cells, and pre-neural crest cells. To further explore fetal development we also used a study with fetal brain samples from 5 condensed regions and 3 gestational time points. We track editing patterns during these gestational weeks to study normal brain development to help understand the role of editing in neurodevelopmental, degenerative, and psychiatric disorders. These can potentially be used for clinical biomarkers. This is part 2 of the final vcf files for predicting RNA editing events in germ layer differentiation and early fetal development.</p>
Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models (NMR datasets, maternal plasma and infant brain)
<p>Maternal obesity during pregnancy is associated with neurodevelopmental disorder (NDD) risk. We utilized integrative multi-omics to examine maternal obesity effects on offspring neurodevelopment in rhesus macaques by comparison to lean controls and two interventions. Differentially methylated regions (DMRs) from longitudinal maternal blood-derived cell-free fetal DNA (cffDNA) significantly overlapped with DMRs from infant brain. The DMRs were enriched for neurodevelopmental functions, methylation-sensitive developmental transcription factor motifs, and human NDD DMRs identified from brain and placenta. Brain and cffDNA methylation levels from a large region overlapping mir-663 correlated with maternal obesity, metabolic and immune markers, and infant behavior. A DUX4 hippocampal co-methylation network correlated with maternal obesity, infant behavior, infant hippocampal lipidomic and metabolomic profiles, and maternal blood measurements of DUX4 cffDNA methylation, cytokines, and metabolites. Ultimately, maternal obesity altered infant brain and behavior, and these differences were detectable in pregnancy through integrative analyses of cffDNA methylation with immune and metabolic factors. </p>
Virtual cohort of fetal cases with suspected coarctation of the aorta from fetal three-dimensional magnetic resonance images
<p>The present dataset is a supplementary dataset to the paper: Hermida, U., van Poppel, M.P.M., Lloyd, D.F.A. <em>et al.</em> Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta. <em>J. of Cardiovasc. Trans. Res.</em> (2022). https://doi.org/10.1007/s12265-022-10335-9</p> <p><strong>Dataset Description: </strong></p> <p>We present a database of fetal great arch anatomical models derived from a statistical shape model (SSM) of fetuses with suspected coarctation of the aorta (CoA). The dataset consists of 1000 meshes including the fetal ascending aorta, arterial duct and descending aorta. For each synthetic case, the corresponding PCA coefficients for the 10 first PCA modes, as well as their CoA risk score, are shared. PCA scores are provided both as raw scores and Z-scores. </p> <p>To build the SSM, a dataset of 112 motion-corrected 3D fetal cardiovascular magnetic resonance (CMR) images and their corresponding segmentations from cases with suspected CoA was used. Data included confirmed CoA cases as well as false positive (FP) cases. Centerlines were extracted and aligned to build the SSM of the fetal great arches. </p> <p><strong>Source of funding</strong></p> <p>This work was supported by the Wellcome Trust IEH Award [102431] (iFIND project), by core funding from the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and by the Rosetrees Trust [A2725]. The research was funded by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London and supported by the NIHR Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. D.F.A. Lloyd acknowledges support from the Rothschild Foundation (2020/2017). P. Lamata holds a Wellcome Trust Senior Research Fellowship (209450/Z/17/Z).</p>
HDCA fetal lung spatial proteomics example datasets
<p>The data provided in this repository is published alongside <a href="https://doi.org/10.1101/2024.01.25.577163" target="_blank" rel="noopener noreferrer">this preprint</a> titled as 'High-parametric protein maps reveal the spatial organization in early-developing human lung' and <a href="https://github.com/CellProfiling/HDCA-FetalLung-SpatialProteomics" target="_blank" rel="noopener noreferrer">this code repository</a>. The preprint and GitHub repository provide further metadata and analysis information. When using the data in this repository, please cite the preprint under DOI: <a href="https://doi.org/10.1101/2024.01.25.577163" target="_blank" rel="noopener noreferrer">https://doi.org/10.1101/2024.01.25.577163</a>.</p>
Automated measurement of fetal head circumference using 2D ultrasound images
<p>For more information about this dataset go to: <a href="https://hc18.grand-challenge.org/">https://hc18.grand-challenge.org/</a></p>
Acid blood gases including fetal hemoglobin from newborns, 2019-2023, General University Hospital in Prague
<p>This anonymized data is from the e-health database of the General University Hospital. It has blood gases that include the parameter of fetal hemoglobin percentage.</p> <p>The variables are as follows</p> <p>birthweight - birthweight</p> <p>EGA - gestational age in decimals</p> <p>day_of_life - postnatal day of life when the sample was taken</p> <p>blood_type - source of blood sample (a - arterial, c - capillary, v - venous)</p> <p>nr_of_preceding_trf - the amount of transfusions the patient has received preceding this blood sample</p> <p>hb - hemoglobin (g/l)</p> <p>F-hbf - fetal hemoglobin percentage</p> <p>pco2 - partial pressure of carbon dioxide (kPa)</p> <p>po2 - partial pressure of oxygen (kPa)</p> <p>so2 - oxygen saturation (ratio of oxyhemoglobin to total)</p> <p>pH - pH</p> <p>PO2 - partial pressure of oxygen (mmHg)</p> <p>estPaO2 - estimated partial pressure of oxygen at the given oxygen saturation according to the Severinghaus equation (mmHg)</p> <p>PaO2-extPO2 - difference between actual measured and estimated partial pressure of oxygen at the given oxygen saturation</p> <p>PCO2 - partial pressure of carbon dioxide (mmHg)</p>
RNA-seq data and results from in-vitro experiments for "Genetic control of fetal placental genomics contributes to development of health and disease" (Bhattacharya et al 2021)
<p>This dataset includes data and results from RNA-seq data collected from in-vitro experiments presented in "Genetic control of fetal placental genomics contributes to development of health and disease" (Bhattacharya et al 2021). Please check the README.txt file for more details.</p>
Improved library preparation protocols for amplicon sequencing-based noninvasive fetal genotyping for RHD-positive D antigen-negative alleles
<p>We aimed to simplify our fetal <i>RHD</i> genotyping protocol by changing the method to attach Illumina's sequencing adaptors to PCR products from the ligation-based method to a PCR-based method, and to improve its quantitative accuracy by introducing unique molecular indexes, which allow us to count the numbers of DNA fragments used as PCR templates and to minimize the effects of PCR and sequencing errors. Both of the newly established protocols reduced time and cost compared with our conventional protocol. Removal of PCR duplicates using UMIs reduced the frequencies of erroneously mapped sequences reads likely generated by PCR and sequencing errors. The modified protocols will help us facilitate implementing fetal <i>RHD</i> genotyping for East Asian populations into clinical practice.</p>
Source code and data files for the fetal kick simulator developed in the Biomechatronics Lab at Imperial College London, UK
<p>This repository holds the code for Fetal Kick Simulator</p> <p>Copyright (c) 2020, Imperial College London All rights reserved.</p> <p>Authors: Abhishek Kumar Ghosh, Ravi Vaidyanathan, Niamh C Nowlan. Imperial College London.</p> <p>This program is a free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.</p> <p>This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.</p> <p>Acknowledgements: If this software is helpful, then Please consider acknowledging or referencing the authors.</p> <p>Publication: Link for the publication related to this repository is <a href="https://www.mdpi.com/1424-8220/20/21/6020">https://www.mdpi.com/1424-8220/20/21/6020</a></p>
RNAScope analysis of human fetal tooth germ
<p>This data was collected to verify the spatial localization of human fetal tooth germ cell types identified via sn-RNA-seq. Using this and other data, we have proposed a more precise developmental timeline and trajectory for human tooth development.</p>
Cook´s Balloon Versus Dinoprostone for Labor Induction of Term Pregnancies With Fetal Growth Restriction
ClinicalTrials.gov study NCT05774236. IPD Sharing: YES. Countries: 1. Publications: 1.
Determination of Abnormal Fetal Growth or Amniotic Fluid With Third Trimester Ultrasounds in Uncomplicated Pregnancies: A Randomized Trial
ClinicalTrials.gov study NCT02702999. IPD Sharing: NO. Countries: 1. Publications: 1.
Fetal and Infant Effects of Maternal Buprenorphine Treatment
ClinicalTrials.gov study NCT01561079. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Association Between Fluid Administration, Oxytocin Administration, and Fetal Heart Rate Changes
ClinicalTrials.gov study NCT02121184. IPD Sharing: NO. Countries: 1. Publications: 12.
Elevation of the Fetal Buttocks Prior to External Cephalic Version
ClinicalTrials.gov study NCT04538261. IPD Sharing: NO. Countries: 1. Publications: 5.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.