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Frankel, L. B.

Publications and source records attributed to Frankel, L. B..

3 recordsLinked to original sources

Selective autophagy of whole micronuclei suppresses chromosomal instability

Chromosomal instability (CIN) arising from mitotic errors generates pervasive structural and numerical chromosome alterations fueling cancer evolution1-3. Entrapment of missegregated chromosomes within micronuclei exacerbates CIN by fostering repeated rounds of aberrant mitotic segregation4-6 and, following micronucleus rupture, promoting catastrophic chromosomal rearrangement processes such as chromothripsis5-9. Whether cellular mechanisms exist to restrain micronucleus-driven CIN has remained unclear. Developing a live-cell chromatin acidification sensor, we tracked micronuclei from genesis through subsequent cell cycles and observed frequent whole-micronucleus capture and acidification via the autophagy pathway. Autophagic targeting is selective for micronuclei with nuclear envelope defects seeded at mitotic exit. Our data indicate that these defects drive progressive loss of chromatin-nuclear envelope tethering, producing a mechanically altered state that is recognised by the autophagic machinery. Autophagy and rupture represent distinct micronuclear fates with opposing genomic consequences. Single-cell sequencing of fate-matched cells demonstrates complete digestion of the chromosomal contents of autophagy-targeted micronuclei, a process we term chromophagy (chromosome-autophagy). By eliminating micronuclei, chromophagy promotes chromosomal loss and arrests the intergenerational transmission of missegregated chromosomal material. This constrains the mutational consequences of micronucleation and suppresses micronucleus-mediated CIN.

cell biology↗

M1-linked Ubiquitination by LUBAC Regulates AMPK Activity and the Response to Energetic Stress

Methionine-1 (M1)-linked ubiquitin chains, assembled by the ubiquitin ligase LUBAC and cleaved by the deubiquitinase OTULIN, are critical regulators of inflammation and immune homeostasis. Genetic loss of either LUBAC or OTULIN causes autoinflammatory syndromes, which are associated with defects in glycogen and lipid metabolism. However, how LUBAC and OTULIN regulate metabolic signalling remains unknown. Here, we demonstrate that LUBAC promotes, while OTULIN restricts, activation of the key metabolic regulator AMP-activated protein kinase (AMPK) in cells, mice, and human samples. LUBAC and OTULIN interact with AMPK, control its M1-ubiquitination, and regulate its activation in response to glucose starvation and allosteric activation. During starvation, LUBAC deficiency impairs autophagy induction and hinders the shift from oxidative phosphorylation to glycolysis. Strikingly, LUBAC-deficient Drosophila have a strongly reduced survival rate after starvation. Our work identifies LUBAC and OTULIN as physiological regulators of AMPK, providing the first mechanism by which M1-linked ubiquitin chains regulate metabolic signalling.

cell biology↗

Spatial-proteomics reveal in-vivo phospho-signaling dynamics at subcellular resolution

Dynamic change in subcellular localization of signaling proteins is a general concept that eukaryotic cells evolved for eliciting a coordinated response to stimuli. Mass spectrometry (MS)-based proteomics in combination with subcellular fractionation can provide comprehensive maps of spatio-temporal regulation of cells, but involves laborious workflows that does not cover the phospho-proteome level. Here we present a high-throughput workflow based on sequential cell fractionation to profile the global proteome and phospho-proteome dynamics across six distinct subcellular fractions. We benchmarked the workflow by studying spatio-temporal EGFR phospho-signaling dynamics in-vitro in HeLa cells and in-vivo in mouse tissues. Finally, we investigated the spatio-temporal stress signaling, revealing cellular relocation of ribosomal proteins in response to hypertonicity and muscle contraction. Proteomics data generated in this study can be explored through https://SpatialProteoDynamics.github.io.

systems biology↗