Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A combinatorial code for pattern formation in Drosophila oogenesis

ABSTRACT: Two-dimensional patterning of the follicular epithelium in Drosophila oogenesis is required for the formation of three-dimensional eggshell structures. Our analysis of a large number of published gene expression patterns in the follicle cells suggests that they follow a simple combinatorial code based on six spatial building blocks and the operations of union, difference, intersection, and addition. The building blocks are related to the distribution of inductive signals, provided by the highly conserved epidermal growth factor receptor and Decapentaplegic (DPP) pathways. We demonstrate the validity of the code by testing it against a set of patterns obtained in a large-scale transcriptional profiling experiment. Using the proposed code, we distinguish 36 distinct patterns for 81 genes expressed in the follicular epithelium and characterize their joint dynamics over four stages of oogenesis. The proposed combinatorial framework allows systematic analysis of the diversity and dynamics of two-dimensional transcriptional patterns and guides future studies of gene regulation. Keywords: EGFR, BMP, gain/loss-of-function

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE12477 | GEO | 2008/11/11

SECONDARY ACCESSION(S): PRJNA112951

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

A combinatorial code for pattern formation in Drosophila oogenesis

Project description:Two-dimensional patterning of the follicular epithelium in Drosophila oogenesis is required for the formation of three-dimensional eggshell structures. Our analysis of a large number of published gene expression patterns in the follicle cells suggests that they follow a simple combinatorial code based on six spatial building blocks and the operations of union, difference, intersection, and addition. The building blocks are related to the distribution of inductive signals, provided by the highly conserved epidermal growth factor receptor and Decapentaplegic (DPP) pathways. We demonstrate the validity of the code by testing it against a set of patterns obtained in a large-scale transcriptional profiling experiment. Using the proposed code, we distinguish 36 distinct patterns for 81 genes expressed in the follicular epithelium and characterize their joint dynamics over four stages of oogenesis. The proposed combinatorial framework allows systematic analysis of the diversity and dynamics of two-dimensional transcriptional patterns and guides future studies of gene regulation. Keywords: EGFR, BMP, gain/loss-of-function RNA was isolated from hand dissected, stage 9-10 egg chambers. Five genetic backgrounds were profiled including: wild type, EGFR gain of function, EGFR loss of function, BMP gain of function, and BMP loss of function. Three biological replicates were hybridized for each pathway perturbation. The samples were split across two rounds of hybridization. Each round of hybridizations included three biological replicates for wild type: The first round included EGFR gof, EGFR lof, BMP gof, and wild type controls A1-A3 (GSM313514-16). For these 12 arrays the extraction, labeling, and hybridization steps were done in parallel. The second round included the BMP lof and wild type controls B1-B3 (GSM313517-19). For these 6 arrays, the extraction, labeling, and hybridization steps were done in parallel.

2008-11-11 | E-GEOD-12477 | biostudies-arrayexpress

Drosophila melanogaster

Project description:A combinatorial code for pattern formation in Drosophila oogenesis

| PRJNA112951 | ENA

SLIC-CAGE (Super-Low Input Carrier-CAGE) transcription start site mapping of mouse migratory and gonadal primordial germ cells, postnatal oocytes and early embryo

Project description:We used SLIC-CAGE to map transcription start sites (TSSs) of mouse primordial germ cells from embryonic days 9.5-16.5, postnatal oocytes (P6, P14 and MII), and early 2-cell and 4-cell mouse embryos. We use this TSS data to show that the mouse germline development starts with the somatic promoter code with a prominent switch to the maternal code (W-box dependent) occurring during the follicular oogenesis. We also find that the promoters of gonadal germ cells are characterised by a previously unknown divergence from the somatic transcription initiation. This divergence is distinct from the promoter code used later by the developing oocytes and reveals genome-wide promoter remodelling during early female and male germline development.

2022-02-14 | E-MTAB-9757 | biostudies-arrayexpress

An integrative analysis of post-translational histone modifications in the marine diatom Phaeodactylum tricornutum

Project description:Nucleosomes are the building blocks of chromatin where gene regulation takes place. Chromatin landscapes have been profiled for several species, providing insights into the understanding of fundamental mechanisms of chromatin-mediated transcriptional regulation of gene expression. However, knowledge is missing from several major and deep-branching eukaryotic groups, such as the marine model diatom Phaeodactylum tricornutum. Diatoms are highly diverse and ubiquitous species of phytoplankton that play a key role in global biogeochemical cycles. Dissecting chromatin-mediated regulation of genes in diatoms will help understand the ecological success of these organisms in contemporary oceans. Here, we use high resolution mass spectrometry to identify a full repertoire of post-translational modifications on P. tricornutum histones, including eight novel modifications. We map five histone marks coupled with expression data and show that P. tricornutum displays both unique and broadly conserved chromatin features, reflecting the chimeric nature of its genome. Combinatorial analysis of histone marks and DNA methylation demonstrates the presence of an epigenetic code defining active or repressive chromatin states. We further profile three specific histone marks under conditions of nitrate depletion and show that the histone code is dynamic and targets specific sets of genes. This study is the first genome-wide characterization of the histone code from a Stramenopile and a marine phytoplankton. The work represents an important initial step for understanding the evolutionary history of chromatin and how epigenetic modifications affect gene expression in response to environmental cues in marine environments.

2015-05-08 | PXD002148 | Pride

A genome-scale shRNA resource for transgenic RNAi in Drosophila

Project description:Existing transgenic RNAi resources in Drosophila utilize the expression of long double stranded hairpin RNAs and are powerful tools for the identification and characterization of genes involved in various processes. However, they are ineffective to knockdown genes during oogenesis, an important model system for the study of numerous fundamental questions in biology. Here, we show that short hairpin RNAs (shRNAs), modeled on an endogenous microRNA, are extremely effective at silencing gene expression during oogenesis. We also describe our progress towards building a genome-wide shRNA resource. Total RNA was isolated using Trizol reagent (Invitrogen) and size-fractionated by PAGE. These were independently processed and sequenced using the Illumina GAII platform. In total, three libraries were analyzed.

2011-03-26 | E-GEOD-27039 | biostudies-arrayexpress

A genome-scale shRNA resource for transgenic RNAi in Drosophila

2011-03-26 | GSE27039 | GEO

Expression data from 12 human thyroid tissue classes and 2 cell lines

Project description:It is often difficult to distinguish histologically between the different types of follicular thyroid carcinoma, particularly when they are less invasive. Thus, the identification of specific gene or protein markers would help to apply the thyroid tumor sub-classification recently proposed by the WHO. However, the selection of the best set of markers for each class of follicular thyroid tumor needs a large-scale comparison of the gene and protein expression patterns of the various types of tumor. Keywords: disease comparison

2007-11-06 | GSE6339 | GEO

Pathology tissue-quantitative mass spectrometry analysis to profile histone post-translational modification patterns in patient samples

Project description:Histone post-translational modifications (hPTMs) generate a complex combinatorial code that has been implicated with various pathologies, including cancer. Dissecting such a code in physiological and diseased states may be exploited for epigenetic biomarker discovery, but hPTM analysis in clinical samples has been hindered by technical limitations. Here, we developed a method (PAThology tissue Histones by Mass Spectrometry - PAT-H-MS) that allows to perform a comprehensive, unbiased and quantitative MS-analysis of hPTM patterns on formalin-fixed paraffin-embedded (FFPE) samples. In pairwise comparisons, histone extracted from FFPE tissues showed patterns similar to fresh frozen samples for 24 differentially modified peptides from histone H3. In addition, when coupled with a histone-focused version of the super-SILAC approach, this method allows the accurate quantification of modification changes among breast cancer patient samples. We applied this strategy to the analysis of breast cancer subtypes, revealing significant changes between Luminal A and Triple Negative samples in peptides containing K27me3 and K9me3, which were validated by immunohistochemistry and western blot analysis. These results pave the way for retrospective epigenetic studies that combine the power of MS-based hPTM analysis with the extensive clinical information associated with FFPE archives.

2015-10-14 | PXD002669 | Pride

Homo sapiens

Project description:The combinatorial code governing cellular responses to complex stimuli

| PRJNA253209 | ENA

Partial covariance two-dimensional mass spectrometry for bio-molecular primary structure

Project description:A new kind of two-dimensional mass spectrometry is described and applied to peptides, proteins and oligonucleotides. Partial covariance two-dimensional mass spectrometry (pC-2DMS) detects intrinsic statistical correlations between bio-molecular fragments originating from the same or consecutive decomposition events. This enables the identification of pairs of ions sharing a common origin across the entire fragment mass spectrum. The fragment-fragment correlations revealed by pC-2DMS are much more specific to the bio-molecular primary structure and its modifications than the individual fragment mass-to-charge ratios on which standard one-dimensional mass spectrometry (MS) is based. We illustrate the analytical power of pC-2DMS by demonstrating the identification of mixtures of combinatorial post-translational modification patterns inaccessible to standard MS.

2023-09-30 | PXD010631 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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