Asymmetric crosstalk between the BMP and TGFβ pathways resolves signaling ambiguity
Auth, J. M.; Eizenberg-Magar, I.; erez, o.; Zachar, O.; Shmueli, M. D.; Zigdon, I.; Shoham, A.; Mindel, V.; Asulin Berrebi, M.; Tennenhouse, A.; Bar-Hai, N.; Ben-Yishay, R.; Ishay-Ronen, D.; Antebi, Y. E.
Show abstract
The BMP and TGF{beta} signaling pathways control cellular fate decisions in diverse biological contexts, often playing opposing roles. Despite extensive knowledge of these pathways, understanding how cells respond to environments containing these opposing cues remains a challenge. Here, we systematically analyze the activation of these pathways under combinatorial signaling environments. We find that TGF{beta} ligands inhibit BMP signaling, while BMP ligands enhance TGF{beta} transcriptional response across concentrations, ligand variants, and cell types. This asymmetric crosstalk results in the activation of a TGF{beta}-biased transcriptional response, even under mixed signaling conditions, effectively reducing signal ambiguity, with implications for processes such as EMT. We show that this crosstalk originates downstream of the SMAD proteins phosphorylation. Using mathematical models, we predict, and experimentally verify, that promiscuous interactions between SMAD proteins provide the mechanism for the observed crosstalk. Our findings challenge the canonical models, suggesting an active role for mediator proteins in determining biological responses.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- NF-κB memory coordinates transcriptional responses to dynamic inflammatory stimuli 95%
- NEMO recruitment at single cytokine-receptor complexes shows quantized dynamics independent of ligand affinity 95%
- Automated live-cell single-molecule tracking in enteroid monolayers reveals transcription factor dynamics probing lineage-determining function 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.