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Biology subjects

Baumann, D. G.

Publications and source records attributed to Baumann, D. G..

2 recordsLinked to original sources

Systematic analysis uncovers SYK dependency in NF1LoF melanoma cells

The loss of function (LoF) of NF1 is the third most frequent mutation that drives hyperactivated RAS and tumor growth in >10% of melanomas. NF1LoF melanoma cells, however, do not show consistent sensitivity to individual MEK, ERK, or PI3K/mTOR inhibitors. Here, we perform a targeted kinase inhibitor screen and identify a tool compound, named MTX-216, to be highly effective in blocking NF1LoF melanoma cells. Single-cell analysis links drug-induced cytotoxicity to effective co-suppression of proliferation marker Ki-67 and the ribosomal S6 phosphorylation, an integrator of multiple RAS-mediated signaling pathways. Using a combination of kinome selectivity assay, transcriptomic analysis, and genetic experiments, we find the anti-tumor efficacy of MTX-216 to be dependent on its ability to inhibit not only PI3K (its nominal target) but also SYK, and suppression of a group of genes that regulate mitochondrial electron transport chain and whose expression is associated with poor survival in NF1LoF melanoma patients. Furthermore, combinations of inhibitors targeting either MEK or PI3K/mTOR with an independent SYK kinase inhibitor or SYK knockdown show favorable effects. These studies provide a path to exploit SYK dependency to selectively block NF1LoF melanoma cells. Statement of significanceNF1LoF melanomas represent a subtype with hyperactivated RAS signaling, for which currently no targeted therapies are clinically available. Our systems pharmacology studies identify SYK as a new vulnerability in NF1LoF melanoma cells.

cancer biology↗

AP-1 transcription factor network explains diverse patterns of cellular plasticity in melanoma

Cellular plasticity associated with fluctuations in transcriptional programs allows individual cells in a tumor to adopt heterogeneous differentiation states and switch phenotype during their adaptive responses to therapies. Despite increasing knowledge of such transcriptional programs, the molecular basis of cellular plasticity remains poorly understood. Here, we combine multiplexed transcriptional and protein measurements at population and single-cell levels with multivariate statistical modeling to show that the state of AP-1 transcription factor network plays a unifying role in explaining diverse patterns of plasticity in melanoma. We find that a regulated balance between AP-1 factors cJUN, JUND, FRA2, FRA1 and cFOS determines the intrinsic diversity of differentiation states and adaptive responses to MAPK inhibitors in melanoma cells. Perturbing this balance through genetic depletion of specific AP-1 proteins, or by MAPK inhibitors, shifts cellular heterogeneity in a predictable fashion. Thus, AP-1 may serve as a critical node for manipulating cellular plasticity with potential therapeutic implications.

systems biology↗