Biology subjects

Lamb, J.

Publications and source records attributed to Lamb, J..

12 recordsLinked to original sources

bioRxiv2026

Defining redundancy in the stickers and spacers of the cell-cell junction protein Canoe's intrinsically disordered region

Cell-cell adherens junctions (AJs) and their dynamic cytoskeletal linkage power morphogenesis. AJs are enormous complexes with hundreds of proteins linked by multivalent interactions. Like other biomolecular condensates, intrinsically disordered regions (IDRs) in junctional proteins play important roles in AJ assembly and function, using spacer elements to span distances, and stickers to engage targets. To define molecular mechanisms, we need to define the functional units within IDRs. Drosophila Canoe, homolog of human Afadin, is our model. Canoe mediates morphogenesis and has an extensive IDR, with two conserved F-actin-binding stickers and two poorly conserved spacers. We combined biochemical, genetic and cell biological approaches to define the function of these IDR elements. While no single element is essential, deleting the full IDR essentially eliminates Canoe function. By scrambling the amino acid sequence of the spacers, we find that length and composition are more important than amino acid sequences, though sequences in the C-terminal spacer affect Canoe localization. Finally, we test redundancy of the F-actin-binding stickers. Deleting both reduces but does not eliminate viability, and sensitized assays reveal their redundant roles. These data reveal the robustness of IDRs.

cell biology↗

bioRxiv2024

Graphene microelectrode arrays, 4D structured illumination microscopy, and a machine learning-based spike sorting algorithm permit the analysis of ultrastructural neuronal changes during neuronal signalling in a model of Niemann-Pick disease type C

Simultaneously recording network activity and ultrastructural changes of the synapse is essential for advancing our understanding of the basis of neuronal functions. However, the rapid millisecond-scale fluctuations in neuronal activity and the subtle sub-diffraction resolution changes of synaptic morphology pose significant challenges to this endeavour. Here, we use graphene microelectrode arrays (G-MEAs) to address these challenges, as they are compatible with high spatial resolution imaging across various scales as well as high temporal resolution electrophysiological recordings. Furthermore, alongside G-MEAs, we deploy an easy-to-implement machine learning-based algorithm to efficiently process the large datasets collected from MEA recordings. We demonstrate that the combined use of G-MEAs, machine learning (ML)-based spike analysis, and four-dimensional (4D) structured illumination microscopy (SIM) enables the monitoring of the impact of disease progression on hippocampal neurons which have been treated with an intracellular cholesterol transport inhibitor mimicking Niemann-Pick disease type C (NPC) and show that synaptic boutons, compared to untreated controls, significantly increase in size, which leads to a loss in neuronal signalling capacity.

neuroscience↗

bioRxiv2021

Limits and potential of combined folding and docking using PconsDock.

In the last decade, de novo protein structure prediction accuracy for individual proteins has improved significantly by utilising deep learning (DL) methods for harvesting the co-evolution information from large multiple sequence alignments (MSA). In CASP14, the best groups predicted the structure of most proteins with impressive accuracy. The same approach can, in principle, also be used to extract information about evolutionary-based contacts across protein-protein interfaces. However, most of the earlier studies have not used the latest DL methods for inter-chain contact distance prediction. This paper introduces a fold-and-dock method, PconsDock, based on predicted residue-residue distances with trRosetta. PconsDock can simultaneously predict the tertiary and quaternary structure of a protein pair, even when the structures of the monomers are not known. The straightforward application of this method to a standard dataset for protein-protein docking yielded limited success. However, using alternative methods for MSA generating allowed us to dock accurately significantly more proteins. We also introduced a novel scoring function, PconsDock, that accurately separates 98% of correctly and incorrectly folded and docked proteins. The average performance of the method is comparable to the use of traditional, template-based or ab initio shape-complementarity-only docking methods. However, no a priori structural information for the individual proteins is needed. Moreover, the results of conventional and fold-and-dock approaches are complementary, and thus a combined docking pipeline could increase overall docking success significantly. PconsDocck contributed to the best model for one of the CASP14 oligomeric targets, H1065.

bioinformatics↗

bioRxiv2021

Dynamics of repair and regeneration of adult zebrafish respiratory gill tissue after cryoinjury.

The study of respiratory tissue damage and repair is critical to understand not only the consequences of respiratory tissue exposure to infectious agents, irritants and toxic chemicals, but also to comprehend the pathogenesis of chronic inflammatory lung diseases. To gain further insights into these processes, we developed a gill cryoinjury model in the adult zebrafish. Time course analysis showed that cryoinjury of the gills triggered an inflammatory response, extensive cell death and collagen deposition at the site of injury. However, the inflammation was rapidly resolved, collagen accumulation dissipated and by 3 weeks after injury the affected gill tissue had begun to regenerate. RNA seq analysis of cryoinjured gills, combined with a comparison of zebrafish heart cryoinjury and caudal fin resection datasets, highlighted the differences and similarities of the transcriptional programmes deployed in response to injury in these three zebrafish models. Comparative RNA seq analysis of cryoinjured zebrafish gills with mouse pulmonary fibrosis datasets also identified target genes, including the understudied FIBIN, as differentially expressed in the two species. Further mining, including of human datasets, suggests that FIBIN may contribute to the successful resolution of tissue damage without fibrosis.

immunology↗

bioRxiv2021

Intra-helical salt bridge contribution to membrane protein insertion

Salt bridges between negatively (D, E) and positively charged (K, R, H) amino acids play an important role in protein stabilization. This has a more prevalent effect in membrane proteins where polar amino acids are exposed to a very hydrophobic environment. In transmembrane (TM) helices the presence of charged residues can hinder the insertion of the helices into the membrane. This can sometimes be avoided by TM region rearrangements after insertion, but it is also possible that the formation of salt bridges could decrease the cost of membrane integration. However, the presence of intra-helical salt bridges in TM domains and their effect on insertion has not been properly studied yet. In this work, we use an analytical pipeline to study the prevalence of charged pairs of amino acid residues in TM -helices, which shows that potentially salt-bridge forming pairs are statistically over-represented. We then selected some candidates to experimentally determine the contribution of these electrostatic interactions to the translocon-assisted membrane insertion process. Using both in vitro and in vivo systems, we confirm the presence of intra-helical salt bridges in TM segments during biogenesis and determined that they contribute between 0.5-0.7 kcal/mol to the apparent free energy of membrane insertion ({Delta}Gapp). Our observations suggest that salt bridge interactions can be stabilized during translocon-mediated insertion and thus could be relevant to consider for the future development of membrane protein prediction software.

biochemistry↗

bioRxiv2021

pyconsFold: A fast and easy tool for modelling and docking using distance predictions.

MotivationContact predictions within a protein has recently become a viable method for accurate prediction of protein structure. Using predicted distance distributions has been shown in many cases to be superior to only using a binary contact annotation. Using predicted inter-protein distances has also been shown to be able to dock some protein dimers. ResultsHere we present pyconsFold. Using CNS as its underlying folding mechanism and predicted contact distance it outperforms regular contact prediction based modelling on our dataset of 210 proteins. It performs marginally worse than the state of the art pyRosetta folding pipeline but is on average about 20 times faster per model. More importantly pyconsFold can also be used as a fold-and-dock protocol by using predicted inter-protein contacts to simultaneously fold and dock two protein chains. Availability and implementationpyconsFold is implemented in Python 3 with a strong focus on using as few dependencies as possible for longevity. It is available both as a pip package in Python 3 and as source code on GitHub and is published under the GPLv3 license. Contactarne@bioinfo.se Supplemental materialInstall instructions, examples and parameters can be found in the supplemental notes. Availability of dataThe data underlying this article together with source code are available on github, at https://github.com/johnlamb/pyconsfold.

bioinformatics↗

bioRxiv2020

The evolutionary history of topological variations in the CPA/AT superfamily

CPA/AT transporters consist of two structurally and evolutionarily related inverted repeat units, each of them with one core and one scaffold subdomain. During evolution, these families have undergone substantial changes in structure, topology and function. Central to the function of the transporters is the existence of two non-canonical helices that are involved in the transport process. In different families, two different types of these helices have been identified, reentrant and broken. Here, we use an integrated topology annotation method to identify novel topologies in the families. It combines topology prediction, similarity to families with known structure, and the difference in positively charged residues present in inside and outside loops in alternative topological models. We identified families with diverse topologies containing broken or reentrant helix. We classified all families based on 3 distinct evolutionary groups that each share a structurally similar C-terminal repeat unit newly termed as "Fold-types". Using the evolutionary relationship between families we propose topological transitions including, a transition between broken and reentrant helices, complete change of orientation, changes in the number of scaffold helices and even in some rare cases, losses of core helices. The evolutionary history of the repeat units shows gene duplication and repeat shuffling events to result in these extensive topology variations. The novel structure-based classification, together with supporting structural models and other information, is presented in a searchable database, CPAfold (cpafold.bioinfo.se). Our comprehensive study of topology variations within the CPA superfamily provides better insight about their structure and evolution.

bioinformatics↗

bioRxiv2020

Identification of a novel fold type in CPA/AT transporters by ab-initio structure prediction

Members of the CPA/AT transporter superfamily show significant structural variability. All previously known members consist of an inverted duplicated repeat unit that folds into two separate domains, the core and the scaffold domain. Crucial for its transporting function, the central helix in the core domain is a noncanonical transmembrane helix, which can either be in the form of a broken helix or a reentrant helix. Here, we expand the structural knowledge of the CPA/AT family by using contact-prediction-based protein modelling. We show that the N-terminal domains of the Pfam families; PSE (Cons_hypoth698 PF03601), Lysine exporter (PF03956) and LrgB (PF04172) families have a previously unseen reentrant-helix-reentrant fold. The close homology between PSE and the Sodium-citrate symporter (2HCT) suggests that the new fold originates from the truncation of an ancestral reentrant protein, caused by the loss of the C-terminal reentrant helix. To compensate for the lost reentrant helix one external loop moves into the membrane to form the second reentrant helix, highlighting the adaptability of the CPA/AT transporters. This study also demonstrates that the most recent deep-learning-based modelling methods have become a useful tool to gain biologically relevant structural, evolutionary and functional insights about protein families.

bioinformatics↗

bioRxiv2020

A transposon surveillance mechanism that safeguards plant male fertility during stress

Although plants are able to withstand a range of environmental conditions, spikes in ambient temperature can impact plant fertility causing reductions in seed yield and significant economic losses1,2. Therefore, understanding the precise molecular mechanisms that underpin plant fertility under environmental constraints is critical to safeguard future food production3. Here, we identified two Argonaute-like proteins whose activities are required to sustain male fertility in maize plants under high temperatures. We found that MALE-ASSOCIATED ARGONAUTE 1 and 2 (MAGO1 and MAGO2) associate with temperature-induced phased secondary small RNAs in pre-meiotic anthers and are essential to control the activity of retrotransposons in male meiocyte initials. Biochemical and structural analyses revealed how MAGO2 activity and its interaction with retrotransposon RNA targets are modulated through the dynamic phosphorylation of a set of highly conserved surface-located serine residues. Our results demonstrate that an Argonaute-dependent RNA-guided surveillance mechanism is critical in plants to sustain male fertility under environmentally constrained conditions by controlling the mutagenic activity of transposons in male germ cells.

plant biology↗

bioRxiv2020

Microbial and autoantibody immunogenic repertoires in TIF1γ autoantibody positive dermatomyositis

We investigate the accumulated microbial and autoantigen antibody repertoire in adult-onset dermatomyositis patients sero-positive for TIF1{gamma} (TRIM33) autoantibodies. We use an untargeted high-throughput approach which combines immunoglobulin disease-specific epitope-enrichment and identification of microbial and human antigens. Increased microbial diversity was observed in dermatomyositis. Viruses were over-represented and species of the Poxviridae family were significantly enriched. The autoantibodies identified recognised a large portion of the human proteome, including interferon regulated proteins; these proteins were clustered in specific biological processes. Apart from TRIM33, autoantibodies against eleven further TRIM proteins, including TRIM21, were identified. Some of these TRIM proteins shared epitope homology with specific viral species including poxviruses. Our data suggest antibody accumulation in dermatomyositis against an expanded diversity of microbial and human proteins and evidence of non-random targeting of specific signalling pathways. Our findings indicate that molecular mimicry and epitope spreading events may play a significant role in the pathogenesis of dermatomyositis.

immunology↗

bioRxiv2018

Induction of muscle stem cell quiescence by the secreted niche factor Oncostatin M

The balance between stem cell quiescence and proliferation in skeletal muscle is tightly controlled, but perturbed in a variety of disease states. Despite progress in identifying activators of stem cell proliferation, the niche factor(s) responsible for quiescence induction remain unclear. Here we report an in vivo imaging-based screen which identifies Oncostatin M (OSM), a member of the interleukin-6 family of cytokines, as a potent inducer of muscle stem cell (MuSC, satellite cell) quiescence. OSM is produced by muscle fibers, induces reversible MuSC cell cycle exit, and maintains stem cell regenerative capacity as judged by serial transplantation. Conditional OSM receptor deletion in satellite cells leads to stem cell depletion and impaired regeneration following injury. These results identify Oncostatin M as a secreted niche factor responsible for quiescence induction, and for the first time establish a direct connection between induction of quiescence, stemness, and transplantation potential in solid organ stem cells.

cell biology↗

bioRxiv2017

A Next Generation Connectivity Map: L1000 Platform And The First 1,000,000 Profiles

We previously piloted the concept of a Connectivity Map (CMap), whereby genes, drugs and disease states are connected by virtue of common gene-expression signatures. Here, we report more than a 1,000-fold scale-up of the CMap as part of the NIH LINCS Consortium, made possible by a new, low-cost, high throughput reduced representation expression profiling method that we term L1000. We show that L1000 is highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts. We further show that the expanded CMap can be used to discover mechanism of action of small molecules, functionally annotate genetic variants of disease genes, and inform clinical trials. The 1.3 million L1000 profiles described here, as well as tools for their analysis, are available at https://clue.io.\n\nHIGHLIGHTSO_LIA new gene expression profiling method, L1000, dramatically lowers cost\nC_LIO_LIThe Connectivity Map database now includes 1.3 million publicly accessible L1000 perturbational profiles\nC_LIO_LIThis expanded Connectivity Map facilitates discovery of small molecule mechanism of action and functional annotation of genetic variants\nC_LIO_LIThe work establishes feasibility and utility of a truly comprehensive Connectivity Map\nC_LI

genomics↗