Biology subjects

Schneidman-Duhovny, D.

Publications and source records attributed to Schneidman-Duhovny, D..

23 records · Page 2Linked to original sources

bioRxiv2020

Cryo-EM Structures of Respiratory bc1-cbb3 type CIII2CIV Super-complex and Electronic Communication Between the Complexes

The respiratory electron transport complexes convey electrons from nutrients to oxygen and generate a proton-motive force used for energy (ATP) production in cells. These enzymes are conserved among organisms, and organized as individual complexes or combined forming large super-complexes (SC). Bacterial electron transport pathways are more branched than those of mitochondria and contain multiple variants of such complexes depending on their growth modes. The Gram-negative species deploy a mitochondrial-like cytochrome bc1 (Complex III, CIII2), and may have bacteria-specific cbb3-type cytochrome c oxidases (Complex IV, CIV) in addition to, or instead of, the canonical aa3-type CIV. Electron transfer between these complexes is mediated by two different carriers: the soluble cytochrome c2 which is similar to mitochondrial cytochrome c and the membrane-anchored cytochrome cy which is unique to bacteria. Here, we report the first cryo-EM structure of a respiratory bc1-cbb3 type SC (CIII2CIV, 5.2Å resolution) and several conformers of native CIII2 (3.3Å resolution) from the Gram-negative bacterium Rhodobacter capsulatus. The SC contains all catalytic subunits and cofactors of CIII2 and CIV, as well as two extra transmembrane helices attributed to cytochrome cy and the assembly factor CcoH. Remarkably, some of the native CIII2 are structural heterodimers with different conformations of their [2Fe-2S] cluster-bearing domains. The unresolved cytochrome c domain of cy suggests that it is mobile, and it interacts with CIII2CIV differently than cytochrome c2. Distance requirements for electron transfer suggest that cytochrome cy and cytochrome c2 donate electrons to heme cp1 and heme cp2 of CIV, respectively. For the first time, the CIII2CIV architecture and its electronic connections establish the structural features of two separate respiratory electron transport pathways (membrane-confined and membrane-external) between its partners in Gram-negative bacteria.Competing Interest StatementThe authors have declared no competing interest.AbbreviationsQquinoneQH2Quinol or hydroquinoneComplex IIICIII2 or cytochromebc1ubiquinolcytochrome c oxidoreductaseComplex IV or CIVcbb3-type cytochrome c oxidasecytcytochromecyt c2cytochrome c2, soluble cytochrome ccyt cycytochrome cy, membrane-anchored cytochrome ccyt S-cysoluble part of cytochrome cy without its membrane anchorSCsuper-complexMSmass spectrometryXL-MScross-linking mass spectrometryXLcross-linksTMBZ3,3’,5,5’-tetramethyl-benzidineDBH22,3-dimethoxy-5-methyl-6-decyl-1,4-benzoquinoneFeSRieske iron-sulfur proteinFeS-EDmembrane-extrinsic domain of FeS proteinb positionlocation of the [2Fe-2S] cluster near heme bLc positionlocation of the [2Fe-2S] cluster near heme c1cryo-EMcryogenic electron microscopyBN-PAGEblue native polyacrylamide gel electrophoresisSDS-PAGEsodium dodecylsulfate polyacrylamide gel electrophoresisC-terC-terminusN-terN-terminusHis-tag8-histidine tagFLAG-tagDYKDDDDK-tagSECsize exclusion chromatographyTMHtransmembrane helixDSSdisuccinimidyl suberateDSBUdisuccinimidyl dibutyric urea; DMTMM, 4-(4,6-dimethoxy-1,3,5-triazin-2-yl)-4-methyl-morpholinium chlorideheme-Feheme-ironEmredox midpoint potentialheme cp1N-ter located c-type heme 1 of CcoPheme cp2C-ter located c-type heme 2 of CcoPheme coc-type heme of CcoOSO32-sulfiteSO42-sulfateRMSDroot-mean-square deviationDDMn-dodecyl β-D-maltoside.View Full Text

biochemistry↗

bioRxiv2020

Biallelic variants in the RNA exosome gene EXOSC5 are associated with developmental delays, short stature, cerebellar hypoplasia and motor weakness

The RNA exosome is an essential ribonuclease complex involved in the processing and degradation of both coding and noncoding RNAs. We present three patients with biallelic variants in EXOSC5, which encodes a structural subunit of the RNA exosome. The common clinical features of these patients comprise failure to thrive, short stature, feeding difficulties, developmental delays that affect motor skills, hypotonia and esotropia. Brain MRI revealed cerebellar hypoplasia and ventriculomegaly. The first patient had a deletion involving exons 5-6 of EXOSC5 and a missense variant, p.Thr114Ile, that were inherited in trans, the second patient was homozygous for p.Leu206His, and the third patient had paternal isodisomy for chromosome 19 and was homozygous for p.Met148Thr. We employed three complementary approaches to explore the requirement for EXOSC5 in brain development and assess the functional consequences of pathogenic variants in EXOSC5. Loss of function for the zebrafish ortholog results in shortened and curved tails and bodies, reduced eye and head size and edema. We modeled pathogenic EXOSC5 variants in both budding yeast and mammalian cells. Some of these variants show defects in RNA exosome function as well as altered interactions with other RNA exosome subunits. Overall, these findings expand the number of genes encoding RNA exosome components that have been implicated in human disease, while also suggesting that disease mechanism varies depending on the specific pathogenic variant.

genetics↗

bioRxiv2019

Integrative modelling of the full-length human dehydrodolichyl diphosphate synthase using a hybrid computational and experimental approach

Dehydrodolichyl diphosphate synthase (DHDDS) and Nogo-B receptor (NgBR) form the heteromeric human cis-prenyltransferase complex, synthesizing the precursor for the glycosyl carrier involved in N-linked protein glycosylation. In line with the important role of N-glycosylation in protein biogenesis, mutations in DHDDS, the catalytic subunit of the complex, were shown to result in human diseases. Importantly, well-characterized DHDDS homologs function as homodimers and not as heteromeric complexes. Moreover, DHDDS encompasses a C-terminal region, which does not converge with any known conserved domains. Therefore, despite the clinical importance of DHDDS, our understating of its structure-function relations remains poor. Here, we provide a structural model for the full-length human DHDDS using a multidisciplinary experimental and computational approach. Our model suggests that the C-terminal domain of DHDDS forms a helix-loop-helix motif, tightly packed against the core catalytic cis-prenyltransferase domain. This model is consistent with small-angle X-ray scattering data, indicating that the full-length DHDDS maintains a similar conformation in solution. Moreover, hydrogen-deuterium exchange mass-spectrometry experiments show time-dependent deuterium uptake in the C-terminal domain, consistent with its overall folded state. Finally, we provide a model for the DHDDS-NgBR heterodimer, offering a structural framework for future structural and functional studies of the human cis-prenyltransferase complex.

biophysics↗

bioRxiv2019

Structural analysis of de novo STXBP1 mutation in complex with syntaxin 1A reveals a major alteration in the interaction interface in a child with developmental delay and spasticity

STXBP1, also known as Munc-18, is a master regulator of neurotransmitter release and synaptic function in the human brain through its direct interaction with syntaxin 1A. STXBP1 related disorders are well characterized and cover a diverse range of neurological and neurodevelopmental conditions. Through exome sequencing of a child with developmental delay, hypotonia and spasticity, we found a novel de novo insertion mutation of three nucleotides in the STXBP1 coding region, resulting in an additional arginine after position 39 (R39dup). Inconclusive results from state-of-the-art variant prediction tools mandated a structure-based approach using molecular dynamics (MD) simulations of the STXBP1-syntaxin 1A complex. Comparison of the interaction interfaces of the wild type and the R39dup complexes revealed a reduced interaction surface area in the mutant, leading to destabilization of the interaction. We applied the same MD methodology to 7 additional previously reported STXBP1 mutations. We find that the stability of the STXBP1-syntaxin 1A interface correlates with the reported clinical phenotypes. We illustrate a direct link between a patients genetic variations and the observed clinical phenotype through protein structure, dynamics, and function.

genetics↗

bioRxiv2018

Predicting CD4 T-cell epitopes based on antigen cleavage, MHCII presentation, and TCR recognition

Accurate predictions of T-cell epitopes would be useful for designing vaccines, immunotherapies for cancer and autoimmune diseases, and improved protein therapies. The humoral immune response involves uptake of antigens by antigen presenting cells (APCs), APC processing and presentation of peptides on MHC class II (pMHCII), and T-cell receptor (TCR) recognition of pMHCII complexes. Most in silico methods predict only peptide-MHCII binding, resulting in significant over-prediction of CD4 T-cell epitopes. We present a method, ITCell, for prediction of T-cell epitopes within an input protein antigen sequence for given MHCII and TCR sequences. The method integrates information about three stages of the immune response pathway: antigen cleavage, MHCII presentation, and TCR recognition. First, antigen cleavage sites are predicted based on the cleavage profiles of cathepsins S, B, and H. Second, for each 12-mer peptide in the antigen sequence we predict whether it will bind to a given MHCII, based on the scores of modeled peptide-MHCII complexes. Third, we predict whether or not any of the top scoring peptide-MHCII complexes can bind to a given TCR, based on the scores of modeled ternary peptide-MHCII-TCR complexes and the distribution of predicted cleavage sites. Our benchmarks consist of epitope predictions generated by this algorithm, checked against 20 peptide-MHCII-TCR crystal structures, as well as epitope predictions for four peptide-MHCII-TCR complexes with known epitopes and TCR sequences but without crystal structures. ITCell successfully identified the correct epitopes as one of the 20 top scoring peptides for 22 of 24 benchmark cases. To validate the method using a clinically relevant application, we utilized five factor VIII-specific TCR sequences from hemophilia A subjects who developed an immune response to factor VIII replacement therapy. The known HLA-DR1-restricted factor VIII epitope was among the six top-scoring factor VIII peptides predicted by ITCall to bind HLA-DR1 and all five TCRs. Our integrative approach is more accurate than current single-stage epitope prediction algorithms applied to the same benchmarks. It is freely available as a web server (http://salilab.org/itcell).\n\nAuthor summaryKnowledge of T-cell epitopes is useful for designing vaccines, improving cancer immunotherapy, studying autoimmune diseases, and engineering protein replacement therapies. Unfortunately, experimental methods for identification of T-cell epitopes are slow, expensive, and not always applicable. Thus, a more accurate computational method for prediction of T-cell epitopes needs to be developed. While the T-cell response to extracellular antigens proceeds through multiple stages, current computational methods rely only on the prediction of peptide binding affinity to an MHCII receptor on antigen presenting cells, resulting in a relatively high number of false-positive predictions of T-cell epitopes within protein antigens. We developed an integrative approach to predict T-cell epitopes that computationally combines information from three stages of the humoral immune response pathway: antigen cleavage, MHCII presentation, and TCR recognition, resulting in an increased accuracy of epitope predictions. This method was applied to predict epitopes within blood coagulation factor VIII (FVIII) that were recognized by TCRs from hemophilia A subjects who developed an anti-FVIII antibody response. The correct epitope was predicted after modeling all possible 12-mer FVIII peptides bound in ternary complexes with the relevant MHCII (HLA-DR1) and each of five experimentally determined FVIII-specific TCR sequences.

bioinformatics↗