Comparative genetic, proteomic and phosphoproteomic analysis of C. elegans embryos with a focus on ham-1/STOX and pig-1/MELK in dopaminergic neuron development.
Sarah-Lena OffenburgerAngus I LamondAlejandro Brenes MurilloAngus I LamondAnton GartnerPublished in: Scientific reports (2017)
Asymmetric cell divisions are required for cellular diversity and defects can lead to altered daughter cell fates and numbers. In a genetic screen for C. elegans mutants with defects in dopaminergic head neuron specification or differentiation, we isolated a new allele of the transcription factor HAM-1 [HSN (Hermaphrodite-Specific Neurons) Abnormal Migration]. Loss of both HAM-1 and its target, the kinase PIG-1 [PAR-1(I)-like Gene], leads to abnormal dopaminergic head neuron numbers. We identified discrete genetic relationships between ham-1, pig-1 and apoptosis pathway genes in dopaminergic head neurons. We used an unbiased, quantitative mass spectrometry-based proteomics approach to characterise direct and indirect protein targets and pathways that mediate the effects of PIG-1 kinase loss in C. elegans embryos. Proteins showing changes in either abundance, or phosphorylation levels, between wild-type and pig-1 mutant embryos are predominantly connected with processes including cell cycle, asymmetric cell division, apoptosis and actomyosin-regulation. Several of these proteins play important roles in C. elegans development. Our data provide an in-depth characterisation of the C. elegans wild-type embryo proteome and phosphoproteome and can be explored via the Encyclopedia of Proteome Dynamics (EPD) - an open access, searchable online database.
Keyphrases
- wild type
- cell cycle
- genome wide
- mass spectrometry
- single cell
- cell therapy
- transcription factor
- copy number
- oxidative stress
- endoplasmic reticulum stress
- high resolution
- cell proliferation
- protein kinase
- optic nerve
- spinal cord
- stem cells
- high throughput
- cell death
- healthcare
- bone marrow
- emergency department
- artificial intelligence
- electronic health record
- mesenchymal stem cells
- small molecule
- microbial community
- spinal cord injury
- adverse drug
- label free
- machine learning
- social media
- drug induced