Shawn S.-C. Li

Nck adaptor proteins link nephrin to the actin cytoskeleton of kidney podocytes.

The glomerular filtration barrier in the kidney is formed in part by a specialized intercellular junction known as the slit diaphragm, which connects adjacent actin-based foot processes of kidney epithelial cells (podocytes). Mutations affecting a number of slit diaphragm proteins, including nephrin (encoded by NPHS1), lead to renal disease owing to disruption of the filtration barrier and rearrangement of the actin cytoskeleton, although the molecular basis for this is unclear. Here we show that nephrin selectively binds the Src homology 2 (SH2)/SH3 domain-containing Nck adaptor proteins, which in turn control the podocyte cytoskeleton in vivo. The cytoplasmic tail of nephrin has multiple YDxV sites that form preferred binding motifs for the Nck SH2 domain once phosphorylated by Src-family kinases. We show that this Nck–nephrin interaction is required for nephrin-dependent actin reorganization. Selective deletion of Nck from podocytes of transgenic mice results in defects in the formation of foot processes and in congenital nephrotic syndrome. Together, these findings identify a physiological signalling pathway in which nephrin is linked through phosphotyrosine-based interactions to Nck adaptors, and thus to the underlying actin cytoskeleton in podocytes. Simple and widely expressed SH2/SH3 adaptor proteins can therefore direct the formation of a specialized cellular morphology in vivo.

Specificity and versatility of SH3 and other proline-recognition domains: structural basis and implications for cellular signal transduction

Protein-protein interactions occurring via the recognition of short peptide sequences by modular interaction domains play a central role in the assembly of signalling protein complexes and larger protein networks that regulate cellular behaviour. In addition to spatial and temporal factors, the specificity of signal transduction is intimately associated with the specificity of many co-operative, pairwise binding events upon which various pathways are built. Although protein interaction domains are usually identified via the recognition code, the consensus sequence motif, to which they selectively bind, they are highly versatile and play diverse roles in the cell. For example, a given interaction domain can bind to multiple sequences that exhibit no apparent identity, and, on the other hand, domains of the same class or different classes may favour a given consensus motif. This promiscuity in ligand selection is typified by the SH3 (Src homology 3) domain and several other interaction modules that commonly recognize proline-rich sequences. Furthermore, interaction domains are highly adaptable, a property that is essential for the evolution of novel pathways and modulation of signalling dynamics. The ability of certain interaction domains to perform multiple tasks, however, poses a challenge for the cell to control signalling specificity when cross-talk between pathways is undesired. Extensive structural and biochemical analysis of many interaction domains in recent years has started to shed light on the molecular basis underlying specific compared with diverse binding events that are mediated by interaction domains and the role affinity plays in affecting domain specificity and regulating cellular signal transduction.

Linear Motif Atlas for Phosphorylation-Dependent Signaling

Created with both in vitro and in vivo data, NetPhorest is an atlas of consensus sequence motifs for 179 kinases and 104 phosphorylation-dependent binding domains and reveals new insight into phosphorylation-dependent signaling. An Atlas of Phosphorylation NetPhorest is a community resource that uses phylogenetic trees to organize data from both in vivo and in vitro experiments to derive sequence specificities for 179 kinases and 104 domains (SH2, PTB, BRCT, WW, and 14–3–3) that bind to phosphorylated sites. The resulting atlas of linear motifs revealed that oncogenic kinases tend to be less specific in the target sequences they phosphorylate than their non-oncogenic counterparts, that autophosphorylation sites tend to be more variable than other substrates of a given kinase, and that coupling interaction domains with kinase domains may allow phosphorylation site specificity to be low while still maintaining substrate specificity. Systematic and quantitative analysis of protein phosphorylation is revealing dynamic regulatory networks underlying cellular responses to environmental cues. However, matching these sites to the kinases that phosphorylate them and the phosphorylation-dependent binding domains that may subsequently bind to them remains a challenge. NetPhorest is an atlas of consensus sequence motifs that covers 179 kinases and 104 phosphorylation-dependent binding domains [Src homology 2 (SH2), phosphotyrosine binding (PTB), BRCA1 C-terminal (BRCT), WW, and 14–3–3]. The atlas reveals new aspects of signaling systems, including the observation that tyrosine kinases mutated in cancer have lower specificity than their non-oncogenic relatives. The resource is maintained by an automated pipeline, which uses phylogenetic trees to structure the currently available in vivo and in vitro data to derive probabilistic sequence models of linear motifs. The atlas is available as a community resource (http://netphorest.info).

Defining the Specificity Space of the Human Src Homology 2 Domain

Src homology 2 (SH2) domains are the largest family of interaction modules encoded by the human genome to recognize tyrosine-phosphorylated sequences and thereby play pivotal roles in transducing and controlling cellular signals emanating from protein-tyrosine kinases. Different SH2 domains select for distinct phosphopeptides, and the function of a given SH2 domain is often dictated by the specific motifs that it recognizes. Therefore, deciphering the phosphotyrosyl peptide motif recognized by an SH2 domain is the key to understanding its cellular function. Here we cloned all 120 SH2 domains identified in the human genome and determined the phosphotyrosyl peptide binding properties of 76 SH2 domains by screening an oriented peptide array library. Of these 76, we defined the selectivity for 43 SH2 domains and refined the binding motifs for another 33 SH2 domains. We identified a number of novel binding motifs, which are exemplified by the BRDG1 SH2 domain that selects specifically for a bulky, hydrophobic residue at P + 4 relative to the Tyr(P) residue. Based on the oriented peptide array library data, we developed scoring matrix-assisted ligand identification (or SMALI), a Web-based program for predicting binding partners for SH2-containing proteins. When applied to SH2D1A/SAP (SLAM-associated protein), a protein whose mutation or deletion underlies the X-linked lymphoproliferative syndrome, SMALI not only recapitulated known interactions but also identified a number of novel interacting proteins for this disease-associated protein. SMALI also identified a number of potential interactors for BRDG1, a protein whose function is largely unknown. Peptide in-solution binding analysis demonstrated that a SMALI score correlates well with the binding energy of a peptide to a given SH2 domain. The definition of the specificity space of the human SH2 domain provides both the necessary molecular basis and a platform for future exploration of the functions for SH2-containing proteins in cells.

Non-histone protein methylation as a regulator of cellular signalling and function

Methylation of Lys and Arg residues on non-histone proteins has emerged as a prevalent post-translational modification and as an important regulator of cellular signal transduction mediated by the MAPK, WNT, BMP, Hippo and JAK–STAT signalling pathways. Crosstalk between methylation and other types of post-translational modifications, and between histone and non-histone protein methylation frequently occurs and affects cellular functions such as chromatin remodelling, gene transcription, protein synthesis, signal transduction and DNA repair. With recent advances in proteomic techniques, in particular mass spectrometry, the stage is now set to decode the methylproteome and define its functions in health and disease.

Binding of Different Histone Marks Differentially Regulates the Activity and Specificity of Polycomb Repressive Complex 2 (PRC2)

The polycomb repressive complex 2 (PRC2) is the major methyltransferase for H3K27 methylation, a modification critical for maintaining repressed gene expression programs throughout development. It has been previously shown that PRC2 maintains histone methylation patterns during DNA replication in part through its ability to bind to H3K27me3. However, the mechanism by which PRC2 recognizes H3K27me3 is unclear. Here we show that the WD40 domain of EED, a PRC2 component, is a methyllysine histone-binding domain. The crystal structures of apo-EED and EED in complex respectively with five different trimethyllysine histone peptides reveal that EED binds these peptides via the top face of its β-propeller architecture. The ammonium group of the trimethyllysine is accommodated by an aromatic cage formed by three aromatic residues, while its aliphatic chain is flanked by a fourth aromatic residue. Our structural data provide an explanation for the preferential recognition of the Ala-Arg-Lys-Ser motif-containing trimethylated H3K27, H3K9, and H1K26 marks by EED over lower methylation states and other histone methyllysine marks. More importantly, we found that binding of different histone marks by EED differentially regulates the activity and specificity of PRC2. Whereas the H3K27me3 mark stimulates the histone methyltransferase activity of PRC2, the H1K26me3 mark inhibits PRC2 methyltransferase activity on the nucleosome. Moreover, H1K26me3 binding switches the specificity of PRC2 from methylating H3K27 to EED. In addition to determining the molecular basis of EED-methyllysine recognition, our work provides the biochemical characterization of how the activity of a histone methyltransferase is oppositely regulated by two histone marks.

Structural Basis for Specific Binding of the Gads SH3 Domain to an RxxK Motif-Containing SLP-76 Peptide:A Novel Mode of Peptide Recognition

The SH3 domain, which normally recognizes proline-rich sequences, has the potential to bind motifs with an RxxK consensus. To explore this novel specificity, we have determined the solution structure of the Gads T cell adaptor C-terminal SH3 domain in complex with an RSTK-containing peptide, representing its physiological binding site on the SLP-76 docking protein. The SLP-76 peptide engages four distinct binding pockets on the surface of the Gads SH3 domain and upon binding adopts a unique structure characterized by a right-handed 3(10) helix at the RSTK locus, in contrast to the left-handed polyproline type II helix formed by canonical proline-rich SH3 ligands. The structure, and supporting mutagenesis and peptide binding data, reveal a novel mode of ligand recognition by SH3 domains.

Structure of the ubiquitin‐binding zinc finger domain of human DNA Y‐polymerase η

The ubiquitin‐binding zinc finger (UBZ) domain of human DNA Y‐family polymerase (pol) η is important in the recruitment of the polymerase to the stalled replication machinery in translesion synthesis. Here, we report the solution structure of the pol η UBZ domain and its interaction with ubiquitin. We show that the UBZ domain adopts a classical C2H2 zinc‐finger structure characterized by a ββα fold. Nuclear magnetic resonance titration maps the binding interfaces between UBZ and ubiquitin to the α‐helix of the UBZ domain and the canonical hydrophobic surface of ubiquitin defined by residues L8, I44 and V70. Although the UBZ domain binds ubiquitin through a single α‐helix, in a manner similar to the inverted ubiquitin‐interacting motif, its structure is distinct from previously characterized ubiquitin‐binding domains. The pol η UBZ domain represents a novel member of the C2H2 zinc finger family that interacts with ubiquitin to regulate translesion synthesis.

Molecular Characterization of Propionyllysines in Non-histone Proteins

Lysine propionylation and butyrylation are protein modifications that were recently identified in histones. The molecular components involved in the two protein modification pathways are unknown, hindering further functional studies. Here we report identification of the first three in vivo non-histone protein substrates of lysine propionylation in eukaryotic cells: p53, p300, and CREB-binding protein. We used mass spectrometry to map lysine propionylation sites within these three proteins. We also identified the first two in vivo eukaryotic lysine propionyltransferases, p300 and CREB-binding protein, and the first eukaryotic depropionylase, Sirt1. p300 was able to perform autopropionylation on lysine residues in cells. Our results suggest that lysine propionylation, like lysine acetylation, is a dynamic and regulatory post-translational modification. Based on these observations, it appears that some enzymes are common to the lysine propionylation and lysine acetylation regulatory pathways. Our studies therefore identified first several important players in lysine propionylation pathway.

An Oriented Peptide Array Library (OPAL) Strategy to Study Protein-Protein Interactions

One of the major questions in signal transduction is how the specificities of protein-protein interactions determine the assembly of distinct signaling complexes in response to stimuli. Several peptide library methods have been developed and widely used to study proteinprotein interactions. These approaches primarily rely on peptide or DNA sequencing to identify the peptide or consensus motif for binding and may prove too costly or difficult to accommodate high throughput applications. We report here an oriented peptide array library (OPAL) approach that should facilitate high throughput proteomic analysis of protein-protein interactions. OPAL integrates the principles of both the oriented peptide libraries and array technologies. Hundreds of pools of oriented peptide libraries are synthesized as amino acid scan arrays. We demonstrate that these arrays can be used to map the specificities of a variety of interactions, including antibodies, protein domains such Src homology 2 domains, and protein kinases.