MassIVE MSV000081790

Partial Public

Apis mellifera (honey bee) antennae proteomics investigating lateralization and dsRNA microinjection

Description

Previously, we attempted to identify the molecular basis for lateralization in honey bee workers by comparing protein expression between left and right antennae of hygienic bees using mass spectrometry-based quantitative proteomics (PXD005242). We identified 1,845 unique proteins but found no significant differences; therefore, we suggested this may be because of insufficient depth of coverage. To improve proteome coverage, we fractionated the peptides from left and right antennae from 4 highly hygienic colonies and repeated the comparison. Here, we identified 3,114 unique proteins (a 69% improvement), which is among the highest proteome coverage achieved in honey bees. However, we still did not identify significant differences. We also compared the proteomes of antennae that were injected with mock dsRNA, dsRNA targeting OBP18, and uninjected. We found a strong effect of microinjecting alone, but no knockdown of our target. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Apis mellifera ; Honey bee ; Antennae

Contact

Principal Investigators:
(in alphabetical order)
Leonard Foster, University of British Columbia, Canada
Submitting User: AlisonMcAfee
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Experimental Design
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Identification Results
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Quantification Results
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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