Browse
Submit Data
Databases
API
Help

Dataset Information

28 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Toward an unbiased evolutionary platform for unraveling Xenopus developmental gene networks.

ABSTRACT: The availability of both the Xenopus tropicalis genome and the soon to be released Xenopus laevis genome provides a solid foundation for Xenopus developmental biologists. The Xenopus community has presently amassed expression data for ∼2,300 genes in the form of published images collected in the Xenbase, the principal Xenopus research database. A few of these genes have been examined in both X. tropicalis and X. laevis and the cross-species comparison has been proven invaluable for studying gene function. A recently published work has yielded developmental expression profiles for the majority of Xenopus genes across fourteen developmental stages spanning the blastula, gastrula, neurula, and the tail-bud. While this data was originally queried for global evolutionary and developmental principles, here we demonstrate its general use for gene-level analyses. In particular, we present the accessibility of this dataset through Xenbase and describe biases in the characterized genes in terms of sequence and expression conservation across the two species. We further indicate the advantage of examining coexpression for gene function discovery relating to developmental processes conserved across species. We suggest that the integration of additional large-scale datasets--comprising diverse functional data--into Xenbase promises to provide a strong foundation for researchers in elucidating biological processes including the gene regulatory programs encoding development.

SUBMITTER: Beer R

PROVIDER: S-EPMC8128080 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Mapping gene expression in two Xenopus species: evolutionary constraints and developmental flexibility.

Project description:Changes in gene expression are thought to be important for morphological evolution, though little is known about the nature or magnitude of the differences. Here, we examine Xenopus laevis and Xenopus tropicalis, two amphibians with very similar development, and ask how their transcriptomes compare. Despite separation for ~30-90 million years, there is strong conservation in gene expression in the vast majority of the expressed orthologs. Significant changes occur in the level of gene expression but changes in the timing of expression (heterochrony) were much less common. Differences in level were concentrated in the earliest embryonic stages. Changes in timing were prominently found in pathways that respond to selective features of the environment. We propose that different evolutionary rates across developmental stages may be explained by the stabilization of cell fate determination in the later stages.

| S-EPMC3118554 | biostudies-literature

Unraveling the Developmental Roadmap toward Human Brown AdiposeTissue.

Project description: Not available

| S-EPMC8072174 | biostudies-literature

Unraveling the Developmental Roadmap toward Human Brown Adipose Tissue.

Project description:Increasing brown adipose tissue (BAT) mass and activation is a therapeutic strategy to treat obesity and complications. Obese and diabetic patients possess low amounts of BAT, so an efficient way to expand their mass is necessary. There is limited knowledge about how human BAT develops, differentiates, and is optimally activated. Accessing human BAT is challenging, given its low volume and anatomical dispersion. These constraints make detailed BAT-related developmental and functional mechanistic studies in humans virtually impossible. We have developed and characterized functionally and molecularly a new chemically defined protocol for the differentiation of human pluripotent stem cells (hPSCs) into brown adipocytes (BAs) that overcomes current limitations. This protocol recapitulates step by step the physiological developmental path of human BAT. The BAs obtained express BA and thermogenic markers, are insulin sensitive, and responsive to β-adrenergic stimuli. This new protocol is scalable, enabling the study of human BAs at early stages of development.

| S-EPMC7940445 | biostudies-literature

On the power and limits of evolutionary conservation--unraveling bacterial gene regulatory networks.

Project description:The National Center for Biotechnology Information (NCBI) recently announced '1000 prokaryotic genomes are now completed and available in the Genome database'. The increasing trend will provide us with thousands of sequenced microbial organisms over the next years. However, this is only the first step in understanding how cells survive, reproduce and adapt their behavior while being exposed to changing environmental conditions. One major control mechanism is transcriptional gene regulation. Here, striking is the direct juxtaposition of the handful of bacterial model organisms to the 1000 prokaryotic genomes. Next-generation sequencing technologies will further widen this gap drastically. However, several computational approaches have proven to be helpful. The main idea is to use the known transcriptional regulatory network of reference organisms as template in order to unravel evolutionarily conserved gene regulations in newly sequenced species. This transfer essentially depends on the reliable identification of several types of conserved DNA sequences. We decompose this problem into three computational processes, review the state of the art and illustrate future perspectives.

| S-EPMC3001071 | biostudies-literature

Mapping gene expression in two Xenopus: evolutionary constraints and developmental flexibility

Project description:Variation in gene expression is known to be important for morphological evolution, however little is known about its general propensity. Here we examine a pair of frogs – Xenopus laevis and Xenopus tropicalis – with highly similar embryology, and ask how their transcriptomes compare. Despite separation for over ~30-90 million years we found a strong conservation in gene expression in the vast majority of the expressed orthologs. There were a significant number of changes in the level of expression of genes. Changes in timing of expression, heterochrony, were much less common, and were often found in genes and pathways that reflect responses to selective features of the environment. Differences in gene expression levels were concentrated in the earliest embryonic stages. We propose that different evolutionary rates across developmental stages may be explained by the stabilization of cell fate determination pathways in later stages.

2011-06-01 | GSE27227 | GEO

Mapping gene expression in two Xenopus: evolutionary constraints and developmental flexibility

Project description:Variation in gene expression is known to be important for morphological evolution, however little is known about its general propensity. Here we examine a pair of frogs M-bM-^@M-^S Xenopus laevis and Xenopus tropicalis M-bM-^@M-^S with highly similar embryology, and ask how their transcriptomes compare. Despite separation for over ~30-90 million years we found a strong conservation in gene expression in the vast majority of the expressed orthologs. There were a significant number of changes in the level of expression of genes. Changes in timing of expression, heterochrony, were much less common, and were often found in genes and pathways that reflect responses to selective features of the environment. Differences in gene expression levels were concentrated in the earliest embryonic stages. We propose that different evolutionary rates across developmental stages may be explained by the stabilization of cell fate determination pathways in later stages. 96 microarrays, across developmental stages in Xenopus laevis and Xenopus tropicalis in wildtype embryos. For each of the two timecourse indepenent triplicates (clutches) were generated.

2011-06-01 | E-GEOD-27227 | biostudies-arrayexpress

Unraveling condition specific gene transcriptional regulatory networks in Saccharomyces cerevisiae.

Project description:BackgroundGene expression and transcription factor (TF) binding data have been used to reveal gene transcriptional regulatory networks. Existing knowledge of gene regulation can be presented using gene connectivity networks. However, these composite connectivity networks do not specify the range of biological conditions of the activity of each link in the network.ResultsWe present a novel method that utilizes the expression and binding patterns of the neighboring nodes of each link in existing experimentally-based, literature-derived gene transcriptional regulatory networks and extend them in silico using TF-gene binding motifs and a compendium of large expression data from Saccharomyces cerevisiae. Using this method, we predict several hundreds of new transcriptional regulatory TF-gene links, along with experimental conditions in which known and predicted links become active. This approach unravels new links in the yeast gene transcriptional regulatory network by utilizing the known transcriptional regulatory interactions, and is particularly useful for breaking down the composite transcriptional regulatory network to condition specific networks.ConclusionOur methods can facilitate future binding experiments, as they can considerably help focus on the TFs that must be surveyed to understand gene regulation.(Supplemental material and the latest version of the MATLAB implementation of the United Signature Algorithm is available online at 1 or [see Additional files 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]).

| S-EPMC1488875 | biostudies-literature

Evolutionary plasticity of developmental gene regulatory network architecture.

Project description:Sea stars and sea urchins evolved from a last common ancestor that lived at the end of the Cambrian, approximately half a billion years ago. In a previous comparative study of the gene regulatory networks (GRNs) that embody the genomic program for embryogenesis in these animals, we discovered an almost perfectly conserved five-gene network subcircuit required for endoderm specification. We show here that the GRN structure upstream and downstream of the conserved network kernel has, by contrast, diverged extensively. Mesoderm specification is accomplished quite differently; the Delta-Notch signaling system is used in radically distinct ways; and various regulatory genes have been coopted to different functions. The conservation of the conserved kernel is thus the more remarkable. The results indicate types of network linkage subject to evolutionary change. An emergent theme is that subcircuit design may be preserved even while the identity of genes performing given roles changes because of alteration in their cis-regulatory control systems.

| S-EPMC2148302 | biostudies-literature

Mapping gene expression in two Xenopus: evolutionary constraints and developmental flexibility

Project description:Mapping gene expression in two Xenopus: evolutionary constraints and developmental flexibility

| PRJNA137505 | ENA

Fluopack screening platform for unbiased cellular phenotype profiling.

Project description:Gene and compound functions are often interrogated by perturbation. However, we have limited methods to capture associated phenotypes in an unbiased and holistic manner. Here, we describe Fluopack screening as a novel platform enabling the profiling of subcellular phenotypes associated with perturbation. Our approach leverages imaging of a panel of fluorescent chemical probes to survey cellular processes in an unbiased and high throughput fashion. Segmentation-free, whole image analysis applied to Fluopack images identifies probes revealing distinct phenotypes upon perturbation, thereby informing on the function and mechanism of action of perturbagens. This chemical biology approach allows to interrogate phenotypes that tend to be overlooked by other methods, such as lipid trafficking and ion concentration inside the cell. Fluopack screening is a powerful approach to study orphan protein function, as exemplified by the characterization of TMEM41B as novel regulator of lipid mobilization.

| S-EPMC7005823 | biostudies-literature

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