Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Comprehensive Human Embryogenesis Reference Tool using Single-Cell RNA-Sequencing Data

ABSTRACT: Stem cell-based embryo models offer unprecedented experimental tools for studying early human development. The usefulness of embryo models hinges on their molecular, cellular and structural fidelities to their in vivo counterparts. To authenticate human embryo models, single-cell RNA-sequencing has been utilised for unbiased transcriptional profiling of human embryo models. However, a well-organised and integrated human single-cell RNA-sequencing dataset, serving as a universal reference tool for benchmarking human embryo models, remains unavailable. Herein, we developed such a reference, through integration of six published human datasets covering developmental stages from the zygote to the gastrula. Lineage annotations are contrasted and validated with available human and non-human primate datasets. Using stabilised UMAP we constructed a web tool, where query datasets can be projected on the reference and annotated with predicted cell identities. Using this reference tool, we examined several recent human embryo models, highlighting the risk of misannotation when relevant references are lacking.

ORGANISM(S): Homo sapiens

PROVIDER: GSE254641 | GEO | 2024/07/16

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Altered dermal architecture in PKCα-/- skin

Project description:Global gene expression analysis in PKCα-/- mouse skin reveals structural changes in the dermis and defective wound granulation tissue. The skin's mechanical integrity is maintained by an organised and robust dermal extracellular matrix (ECM). Resistance to mechanical disruption hinges primarily on homeostasis of the dermal collagen fibril architecture which is regulated, at least in part, by members of the small leucine-rich proteoglycan (SLRP) family. This array study presents data linking protein kinase C alpha (PKCα) to the regulated expression of multiple ECM components including SLRPs.

2016-01-20 | E-MTAB-3836 | biostudies-arrayexpress

A high-resolution transcriptome map of the sea urchin embryo

Project description:The sea urchin S. purpuratus is a model organism for study of the genomic control circuitry underlying embryonic development. We examined the complete repertoire of genes expressed in the S. purpuratus embryo, up to late gastrula stage, by means of high-resolution custom tiling arrays covering the whole genome. We detected complete spliced structures even for genes known to be expressed at low leveles in only a few cells. At least 11,000 to 12,000 genes are used in embryogenesis. These include most of the genes encoding transcription factors and signaling proteins, as well as some classes of general cytoskeletal and metabolic proteins, but only a minor fraction of genes encoding immune functions and sensory receptors. Thousands of small asymmetric transcripts of unknown function were also detected in intergenic regions throughout the genome. The tiling array data were used to correct and authenticate several thousand gene models during the genome annotation process. Keywords: high-resolution tiling array, sea urchin, embryo Keywords: other

2006-10-23 | GSE6031 | GEO

Milking it? Assessing the degradation of ancient milk proteomes

Project description:The origins, prevalence and nature of dairying have been long debated by archaeologists. Within the last decade, new advances in high-resolution mass spectrometry have allowed for the direct detection of milk proteins from archaeological remains, including ceramics, dental calculus, and preserved dairy products. Proteins recovered from archaeological remains are susceptible to post-excavation and laboratory contamination, a particular concern for ancient dairying studies as milk proteins are potential laboratory contaminants. Here, we examine how site-specific rates of deamidation can be used to elucidate patterns of peptide degradation, and authenticate ancient milk proteins. First, we characterize site-specific deamidation patterns in modern milk products and experimental samples, confirming that deamidation occurs primarily at low half-time sites. We then compare this to previously published ancient proteomic data from six studies reporting ancient milk peptides. We confirm that site-specific deamidation rates, on average, are more advanced in beta-lactoglobulin recovered from ancient dental calculus and pottery residues. Nevertheless, deamidation rates displayed a high degree of variability, making it challenging to authenticate samples with relatively few milk peptides. We demonstrate that site-specific deamidation is a useful tool for identifying modern contamination but highlight the need for multiple lines of evidence to authenticate ancient protein data.

2021-08-05 | PXD022368 | Pride

PTMProphet: Fast and Accurate Mass Modification Localization for the Trans-Proteomic Pipeline

Project description:Analysis of synthetic peptide reference datasets to demonstrate the performance of PTMProphet, a free and open-source software tool integrated into the Trans-Proteomic Pipeline, which reanalyzes identified spectra from any search engine for which pepXML output is available to provide localization confidence to enable appropriate further characterization of biologic events.

2019-07-18 | PXD013210 | Pride

ExpressionData - A public resource of high quality datasets representing gene expression across tissues, conditions, diseases and genotypes.

Project description:Reference datasets are often used to compare, interpret or validate experimental data and analytical methods. In the field of gene expression, a dozen reference datasets have been published. Typically, they consist of individual baseline or spike-in experiments carried out in a single laboratory and representing a particular set of conditions. For most organisms, however, few or no such reference datasets are publicly available. Here, we describe a new type of datasets highly representative for the spatial, temporal and response dimensions of gene expression. They result from integrating expression data from a large number of globally normalized and quality controlled public experiments and aggregating results by anatomical parts, stages of development, perturbations, drugs, diseases, neoplasms, and genotypes. The proposed datasets were created for human and several model organisms and are publicly available at www.expressiondata.org.

2013-05-15 | GSE44938 | GEO

Human Naïve Epiblast Cells Possess Unrestricted Lineage Potential

Project description:Classical mouse embryology has established a paradigm of early development drivenby sequential lineage bifurcations. Accordingly, mouse embryonic stem cells derivedfrom early epiblast have lost the potency to produce extraembryonic trophectoderm.We show in contrast that human naive epiblast cells readily make trophectoderm.Inhibition of ERK signalling, instrumental in naive stem cell propagation, unexpectedlypotentiates trophectoderm formation, an effect enhanced by Nodal inhibition.Transcriptome analyses authenticate conversion into trophectoderm with subsequentproduction of syncitiotrophoblast, cytotrophoblast and trophoblast stem cells. Geneticperturbations indicate that NANOG suppresses and TFAP2C enables trophectoderminduction. Consistent with post-implantation progression, trophectoderm potential isextinguished in conventional human pluripotent stem cells, which instead makeamnion. Finally, human embryo epiblasts from late blastocysts efficiently generatetrophectoderm and differentiated trophoblast. Thus, pluripotent cells in the humanembryo retain extraembryonic lineage plasticity and regenerative potential untilimplantation. Harnessing this unanticipated regulative capacity may be beneficial forassisted reproduction technology.

2021-02-10 | GSE166422 | GEO

Human Naïve Epiblast Cells Possess Unrestricted Lineage Potential

2021-02-09 | GSE166401 | GEO

Comprehensive Human Embryogenesis Reference Tool using Single-Cell RNA-Sequencing Data

Project description:Comprehensive Human Embryogenesis Reference Tool using Single-Cell RNA-Sequencing Data

| PRJNA1071180 | ENA

LFQbench enables a multi-centered benchmark study demonstrating robust proteomic label-free quantification

Project description:The consistent and accurate quantification of proteins is a challenging task for mass spectrometry (MS)-based proteomics. SWATH-MS uses data-independent acquisition (DIA) for label-free quantification. Here we evaluated five software tools for processing SWATH-MS data: OpenSWATH, SWATH2.0, Skyline, Spectronaut, DIA-Umpire, in collaboration with the respective developers to ensure an optimal use of each tool. We analyzed data from hybrid proteome samples of defined quantitative composition acquired on two different MS instruments applying different SWATH isolation windows setups. Using the resulting high-complexity datasets we benchmarked precision and accuracy of quantification and evaluated identification performance, robustness and specificity of each software tool. To consistently evaluate the high complexity datasets, we developed the LFQbench R-package. LFQbench results enabled developers to improve their software tools, thereby underlining the value of the reference datasets for software development and benchmarking. All tools provided highly convergent identification and reliable quantification performance, underscoring their robustness for label-free quantitative proteomics.

2016-09-27 | PXD002952 | Pride

A comparision of the transcriptional profiles of the Muscle from cattle raised outdoors on pasture versus indoors on high dietary supplement

Project description:The objective of this study was to characterise a small panel of differentially expressed genes in the muscle that could be utilised to authenticate animals raised on pasture versus animals raised indoors on a concentrate based diet. Seven replicates per sample group, fourteen in total

2014-01-01 | E-GEOD-52145 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data