Primary myeloid cell proteomics and transcriptomics: importance of β-tubulin isotypes for osteoclast function.
David GuéritPauline MarieAnne MorelJustine MaurinChristel VerolletBrigitte Raynaud-MessinaSerge UrbachAnne BlangyPublished in: Journal of cell science (2020)
Among hematopoietic cells, osteoclasts (OCs) and immature dendritic cells (DCs) are closely related myeloid cells with distinct functions: OCs participate skeleton maintenance while DCs sample the environment for foreign antigens. Such specificities rely on profound modifications of gene and protein expression during OC and DC differentiation. We provide global proteomic and transcriptomic analyses of primary mouse OCs and DCs, based on original stable isotope labeling with amino acids in cell culture (SILAC) and RNAseq data. We established specific signatures for OCs and DCs, including genes and proteins of unknown functions. In particular, we showed that OCs and DCs have the same α- and β-tubulin isotype repertoire but that OCs express much more of the β tubulin isotype Tubb6 (also known as TBB6). In both mouse and human OCs, we demonstrate that elevated expression of Tubb6 in OCs is necessary for correct podosomes organization and thus for the structure of the sealing zone, which sustains the bone resorption apparatus. Hence, lowering Tubb6 expression hinders OC resorption activity. Overall, we highlight here potential new regulators of OC and DC biology, and illustrate the functional importance of the tubulin isotype repertoire in the biology of differentiated cells.
Keyphrases
- dendritic cells
- induced apoptosis
- cell cycle arrest
- poor prognosis
- single cell
- bone marrow
- genome wide
- bone loss
- immune response
- endothelial cells
- acute myeloid leukemia
- mass spectrometry
- signaling pathway
- oxidative stress
- endoplasmic reticulum stress
- stem cells
- transcription factor
- cell death
- amino acid
- regulatory t cells
- rna seq
- big data
- autism spectrum disorder
- risk assessment
- copy number
- artificial intelligence
- deep learning
- climate change