Mapping of the podocin proximity-dependent proteome reveals novel components of the kidney podocyte foot process.

Introduction: The unique architecture of glomerular podocytes is integral to kidney filtration. Interdigitating foot processes extend from the podocyte cell body, wrap around fenestrated capillaries, and form specialized junctional complexes termed slit diaphragms to create a molecular sieve. However, the full complement of proteins which maintain foot process integrity, and how this localized proteome changes with disease, remain to be elucidated. Methods: Proximity-dependent biotin identification (BioID) enables the identification of spatially localized proteomes. To this end, we developed a novel in vivo BioID knock-in mouse model. We utilized the slit diaphragm protein podocin (Nphs2) to create a podocin-BioID fusion. Podocin-BioID localizes to the slit diaphragm, and biotin injection leads to podocyte-specific protein biotinylation. We isolated the biotinylated proteins and performed mass spectrometry to identify proximal interactors. Results and Discussion: Gene ontology analysis of 54 proteins specifically enriched in our podocin-BioID sample revealed 'cell junctions,' 'actin binding,' and 'cytoskeleton organization' as top terms. Known foot process components were identified, and we further uncovered two novel proteins: the tricellular junctional protein Ildr2 and the CDC42 and N-WASP interactor Fnbp1l. We confirmed that Ildr2 and Fnbp1l are expressed by podocytes and partially colocalize with podocin. Finally, we investigated how this proteome changes with age and uncovered a significant increase in Ildr2. This was confirmed by immunofluorescence on human kidney samples and suggests altered junctional composition may preserve podocyte integrity. Together, these assays have led to new insights into podocyte biology and support the efficacy of utilizing BioID in vivo to interrogate spatially localized proteomes in health, aging, and disease.

Integrating knowledge of protein sequence with protein function for the prediction and validation of new MALT1 substrates.

We developed a bioinformatics-led substrate discovery workflow to expand the known substrate repertoire of MALT1. Our approach, termed GO-2-Substrates, integrates protein function information, including GO terms from known substrates, with protein sequences to rank substrate candidates by similarity. We applied GO-2-Substrates to MALT1, a paracaspase and master regulator of NF-κB signalling in adaptive immune responses. With only 12 known substrates, the evolutionarily conserved paracaspase functions and phenotypes of Malt1 -/- mice strongly implicate the existence of undiscovered substrates. We tested the ranked predictions from GO-2-Substrates of new MALT1 human substrates by co-expression of candidates transfected with the oncogenic constitutively active cIAP2-MALT1 fusion protein or CARD11/BCL10/MALT1 active signalosome. We identified seven new MALT1 substrates by the co-transfection screen: TANK, TAB3, CASP10, ZC3H12D, ZC3H12B, CILK1 and ILDR2. Using catalytically inactive cIAP2-MALT1 (Cys464Ala), a MALT1 inhibitor, MLT-748, and noncleavable P1-Arg to Ala mutant versions of each substrate in dual transfections, we validated the seven new substrates in vitro. We confirmed the cleavage of endogenous TANK and the RNase ZC3H12D in B cells by Western blotting and mining TAILS N-terminomics datasets, where we also uncovered evidence for these and 12 other candidate substrates by endogenous MALT1. Thus, protein function information improves substrate predictions. The new substrates and other high-ranked MALT1 candidate substrates should open new biological frontiers for further validation and exploration of the function of MALT1 within and beyond NF-κB regulation.

ZNF70, a novel ILDR2-interacting protein, contributes to the regulation of HES1 gene expression.

A diabetes susceptibility gene, immunoglobulin-like domain containing receptor 2 (Ildr2), encodes a transmembrane protein localized to the endoplasmic reticulum membrane that is closely related to hepatic lipid metabolism. The livers of ob/ob mice in which Ildr2 is transiently overexpressed are relieved of hepatic steatosis. However, the molecular mechanisms through which ILDR2 affects these changes in hepatic lipid metabolism remain unknown. This study aimed to identify ILDR2-interacting proteins to further elucidate the molecular mechanisms underlying the role of ILDR2 in lipid homeostasis. We purified ILDR2-containing protein complexes using tandem affinity purification tagging and identified ZNF70, a member of the Kruppel C2H2-type zinc finger protein family, as a novel ILDR2-interacting protein. We demonstrated that ZNF70 interacts with ZFP64 and activates HES1 transcription by binding to the HES1 promoter. In addition, HES1 gene expression is increased in ILDR2-knockdown HepG2 cells, in which ZNF70 is translocated from the cytoplasm to the nucleus, suggesting that ZNF70 migration to the nucleus after dissociating from the ILDR2-ZNF70 complex activates HES1 transcription. These results support a novel link between ILDR2 and HES1 gene expression and suggest that ILDR2 is involved in a novel pathway in hepatic steatosis.