Browse
Submit Data
Databases
API
Help

Dataset Information

335 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Venomics of the East African green mamba and black mamba, highlights the complexity of their toxin arsenal

ABSTRACT: Complementary bottom-up MS/MS analyses for the venom phenotype map for the eastern green mamba and black mamba

INSTRUMENT(S): LTQ Orbitrap XL

ORGANISM(S): Dendroaspis Angusticeps (eastern Green Mamba) (naja Angusticeps) Dendroaspis Polylepis Polylepis (black Mamba)

TISSUE(S): Venom

SUBMITTER: Daniel Petras

LAB HEAD: Juan J. Calvete

PROVIDER: PXD003876 | Pride | 2016-06-27

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Publications

Top-down venomics of the East African green mamba, Dendroaspis angusticeps, and the black mamba, Dendroaspis polylepis, highlight the complexity of their toxin arsenals.

Petras Daniel D Heiss Paul P Harrison Robert A RA Süssmuth Roderich D RD Calvete Juan J JJ

Journal of proteomics 20160616

We report the characterization, by combination of high-resolution on-line molecular mass and disulfide bond profiling and top-down MS/MS analysis, of the venom proteomes of two congeneric African snake species of medical importance, Dendroaspis angusticeps (green mamba) and D. polylepis (black mamba). Each of these mamba venoms comprised more than two-hundred polypeptides belonging to just a few toxin families. Both venom proteomes are overwhelmingly composed of post-synaptically-acting short- a ...[more]

PMID: 27318176

Similar Datasets

Top-down venomics of the East African green mamba and the black mamba

Project description:Top-down MS analysis of reduced venom from black and green mambas.

2016-03-24 | MSV000079607 | MassIVE

Venomics Reveals Venom Complexity of the Piscivorous Cone Snail, Conus tulipa.

Project description: Not available

| S-EPMC6356538 | biostudies-literature

Venom proteomics of Indonesian king cobra

Project description:Complementary bottom-up MS/MS analyses contributed to complete a locus-resolved venom phenotype map for O. hannah, the world's longest venomous snake and a species of medical concern across its wide distribution range in forests from India through Southeast Asia. Its venom composition convincingly explains the main neurotoxic effects of human envenoming caused by king cobra bite. The integration of efficient chromatographic separation of the venom components, and locus-resolved toxin identification through top-down and bottom-up MS/MS-based species-specific database searching, promises a bright future to the field of venom research.

2015-08-20 | PXD001726 | Pride

Transcriptomic resource of African green monkey (Chlorocebus aethiops sabaues)

Project description:Characterization of transcriptomic variation is emerging as a critical tool for understanding how quantitative trait loci (QTL) contribute to complex phenotypes. Human transcriptomic studies are limited by factors such as the feasibility of invasive tissue collection or variable environmental exposures that can be readily overcome in non-human primate (NHP) models. We characterized transcriptomic variation across multiple tissues and developmental stages and between individuals in 59 vervet monkeys from the Vervet Research Colony extended pedigree. We conducted RNA sequencing across early (7, 90 days, and one year) and later (1.25, 1.5, 1.75, 2, 2.5, 3, and 4+ years old) developmental time points in 6 individuals at each stage in five tissue types: two brain tissues from hippocampus and caudate, two endocrine tissues (pituitary and adrenal) and two peripheral tissues serving as a source of biomarkers (blood and fibroblasts)

2014-02-12 | E-MTAB-4404 | biostudies-arrayexpress

Venomics of Tropidolaemus wagleri, the sexually dimorphic temple pit viper: Unveiling a deeply conserved atypical toxin arsenal.

Project description: Not available

| S-EPMC5327433 | biostudies-literature

Quantifying the complexity of black-and-white images.

Project description: Not available

| S-EPMC6258117 | biostudies-literature

Expression data from SIVagm-infected African green monkeys (Chlorocebus sabaeus)

Project description:In contrast to SIVagm, which does not cause disease in its natural simian host, HIV-1 expresses the accessory protein Vpu and encodes a Nef protein that fails to suppress T cell activation via down-modulation of CD3. Although both, Vpu and Nef have been implicated as pathogenicity determinants, their relevance for viral replication and disease progression in vivo has remained unclear. Here, we analyzed gene expression in African green monkeys infected with SIVagm chimeras differing in their expression of nef and/or vpu. We used microarrays to analyze global gene expression of African green monkeys in response to infection with SIVagm and found that the viral accessory nef and vpu genes co-determine the induction of distinct gene sets.

2018-03-02 | GSE103072 | GEO

Comprehensive analysis of coding variants highlights genetic complexity in developmental and epileptic encephalopathy.

Project description: Not available

| S-EPMC6555845 | biostudies-other

Does Social Complexity Drive Vocal Complexity? Insights from the Two African Elephant Species.

Project description: Not available

| S-EPMC8614502 | biostudies-literature

Long Oligonucleotide Microarrays for African Green Monkey Gene Expression Profile Analysis

Project description:Nonhuman primates including African Green Monkey (AGM) are important models for biomedical research. The information on monkey genomes is still limited and no versatile gene expression screening tool is available. We tested human whole genome microarrays for cross-species reactivity with AGM transcripts using both long oligonucleotide arrays (60-mer probes, Applied Biosystems-ABI) and short oligonucleotide arrays (25-mer, Affymetrix). Using the long oligonucleotide arrays we detected four times more AGM transcripts than with the short oligonucleotide technology. The number of detected transcripts was comparable to that detected using human RNA, with 87% of the detected genes being shared between both species. The specificity of the signals obtained with the long oligonucleotide arrays was determined by analyzing the transcriptome of concanavalin A activated CD4+ T cells versus non-activated T cells of two monkey species AGM and macaque. For both species, the genes showing the most significant changes in expression, such as IL-2R, were those known to be also regulated in human CD4+ T cell activation. Finally, tissue-specificity of the signals was established by comparing the transcription profiles of AGM brain and tonsil cells. In conclusion, the ABI human microarray platform provides a highly valuable tool for the assessment of AGM gene expression profiles. Keywords: Defining a microarray platform to study the AGM transcriptome by cross-species and cross-platform comparison

2007-10-01 | GSE6982 | GEO

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