Biology subjects

Diaz, N.

Publications and source records attributed to Diaz, N..

9 recordsLinked to original sources

bioRxiv2023

In vitro validated antibody design against multiple therapeutic antigens using generative inverse folding

Deep learning approaches have demonstrated the ability to design protein sequences given backbone structures [1, 2, 3, 4, 5]. While these approaches have been applied in silico to designing antibody complementarity-determining regions (CDRs), they have yet to be validated in vitro for designing antibody binders, which is the true measure of success for antibody design. Here we describe IgDesign, a deep learning method for antibody CDR design, and demonstrate its robustness with successful binder design for 8 therapeutic antigens. The model is tasked with designing heavy chain CDR3 (HCDR3) or all three heavy chain CDRs (HCDR123) using native backbone structures of antibody-antigen complexes, along with the antigen and antibody framework (FWR) sequences as context. For each of the 8 antigens, we design 100 HCDR3s and 100 HCDR123s, scaffold them into the native antibodys variable region, and screen them for binding against the antigen using surface plasmon resonance (SPR). As a baseline, we screen 100 HCDR3s taken from the models training set and paired with the native HCDR1 and HCDR2. We observe that both HCDR3 design and HCDR123 design outperform this HCDR3-only baseline. IgDesign is the first experimentally validated antibody inverse folding model. It can design antibody binders to multiple therapeutic antigens with high success rates and, in some cases, improved affinities over clinically validated reference antibodies. Antibody inverse folding has applications to both de novo antibody design and lead optimization, making IgDesign a valuable tool for accelerating drug development and enabling therapeutic design. The data generated in this study serve as a useful benchmark of diverse antibody-antigen interactions. We use this data to benchmark self-consistency RMSD (scRMSD), using ABodyBuilder2 [6], ABodyBuilder3 [7], and ESMFold [8], as a metric for assessing binding. We open source the code for IgDesign and the SPR datasets. Code and datasets can be found at https://github.com/AbSciBio/igdesign.

synthetic biology↗

bioRxiv2023

Specific photoreceptor cell fate pathways are differentially altered in NR2E3-associated diseases

Mutations in NR2E3 cause two retinal dystrophies with a distinct phenotype. NR2E3 encodes an orphan nuclear transcription factor that contributes to photoreceptor cell fate determination by repressing cone while activating rod genes. To dissect NR2E3 function, we performed scRNA-seq in the retinas of wild type and two different Nr2e3 mouse models that show phenotypes similar to patients carrying NR2E3 mutations. Our results reveal that rod and cone populations are not homogeneous and can be separated into different sub- classes. We identify a previously unreported cone pathway that generates hybrid cones that co-express both cone- and rod-related genes. In mutant retinas, this hybrid cone subpopulation is more abundant, as it includes a subpopulation of rods transitioning towards a cone cell fate. Hybrid photoreceptors with high misexpression of cone- and rod-related genes are prone to regulated necrosis. Overall, our results shed light on the role of NR2E3 in modulating photoreceptor differentiation towards cone and rod fates and explain how mutations in NR2E3 lead to different visual disorders in humans. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/543550v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@bc8118org.highwire.dtl.DTLVardef@1bf5f72org.highwire.dtl.DTLVardef@11351f5org.highwire.dtl.DTLVardef@169e7df_HPS_FORMAT_FIGEXP M_FIG C_FIG SYNOPSISMutations in the gene encoding the retinal transcription factor NR2E3 cause two different inherited retinal dystrophies: retinitis pigmentosa and enhanced S-cone syndrome. O_LIscRNA-seq in retinas of wild type and two Nr2e3 mouse models reveal that rod and cone populations are not homogeneous and can be classified into different sub-classes. C_LIO_LIA previously unreported cone pathway that generates hybrid cones co- expressing both cone- and rod-related genes is identified. C_LIO_LIHybrid photoreceptors with high misexpression of cone- and rod-related genes are prone to regulated necrosis. C_LIO_LIExpression of rod and cone signature genes change in response to different NR2E3 mutations thus providing a frame to understand the molecular basis of distinct NR2E3-associated diseases. C_LI

genetics↗

bioRxiv2023

Unlocking de novo antibody design with generative artificial intelligence

Generative AI has the potential to redefine the process of therapeutic antibody discovery. In this report, we describe and validate deep generative models for the de novo design of antibodies against human epidermal growth factor receptor (HER2) without additional optimization. The models enabled an efficient workflow that combined in silico design methods with high-throughput experimental techniques to rapidly identify binders from a library of [~]106 heavy chain complementarity-determining region (HCDR) variants. We demonstrated that the workflow achieves binding rates of 10.6% for HCDR3 and 1.8% for HCDR123 designs and is statistically superior to baselines. We further characterized 421 diverse binders using surface plasmon resonance (SPR), finding 71 with low nanomolar affinity similar to the therapeutic anti-HER2 antibody trastuzumab. A selected subset of 11 diverse high-affinity binders were functionally equivalent or superior to trastuzumab, with most demonstrating suitable developability features. We designed one binder with [~]3x higher cell-based potency compared to trastuzumab and another with improved cross-species reactivity1. Our generative AI approach unlocks an accelerated path to designing therapeutic antibodies against diverse targets.

synthetic biology↗

bioRxiv2021

DNA motif analysis of shear stress responsive endothelial enhancers reveals differential association of KLF and ETV/ETS binding sites with gained and lost enhancers

Endothelial cells (EC) lining blood vessels are exposed to mechanical forces, such as shear stress exerted by the flowing blood. These forces control many aspects of EC biology, including vascular tone, cell migration and proliferation in addition to cell size and shape. Despite a good understanding of the genes and signaling pathways responding to shear stress, our insights into the transcriptional regulation of these responses is much more limited. In particular, we do not know the different sets of regulatory elements (enhancers) that might control increases or decreases in gene expression. Here, we set out to study changes in the chromatin landscape of human umbilical vein endothelial cells (HUVEC) exposed to laminar shear stress. To do so, we performed ChIP-Seq for H3K27 acetylation, indicative of active enhancer elements and ATAC-Seq to mark regions of open chromatin in addition to RNA-Seq on HUVEC exposed to 6 hours of laminar shear stress. Our results show a correlation of gained and lost enhancers with up- and downregulated genes, respectively. DNA motif analysis revealed an over-representation of KLF transcription factor (TF) binding sites in gained enhancers, while lost enhancers contained more ETV/ETS motifs. We validated a subset of flow responsive enhancers using luciferase-based reporter constructs and CRISPR-Cas9 mediated genome editing. Lastly, we characterized shear stress responsive genes in ECs of zebrafish embryos using RNA-Seq. Together, our results reveal the presence of shear stress responsive DNA regulatory elements and lay the groundwork for the future exploration of these elements and the TFs binding to them in controlling EC biology.

genomics↗

bioRxiv2021

Integrative annotation of genomic features reveal functional elements and epigenetic landscapes in the developing zebrafish

Zebrafish, a popular model for embryonic development and for modelling human diseases, has so far lacked a systematic functional annotation programme akin to those in other animal models. To address this, we formed the international DANIO-CODE consortium and created the first central repository to store and process zebrafish developmental functional genomic data. Our Data Coordination Center (https://danio-code.zfin.org) combines a total of 1,802 sets of unpublished and reanalysed published genomics data, which we used to improve existing annotations and show its utility in experimental design. We identified over 140,000 cis-regulatory elements in development, including novel classes with distinct features dependent on their activity in time and space. We delineated the distinction between regulatory elements active during zygotic genome activation and those active during organogenesis, identifying new aspects of how they relate to each other. Finally, we matched regulatory elements and epigenomic landscapes between zebrafish and mouse and predict functional relationships between them beyond sequence similarity, extending the utility of zebrafish developmental genomics to mammals.

developmental biology↗

bioRxiv2019

Adaptive thermogenesis in mice requires adipocyte light-sensing via Opsin 3

Almost all life forms can decode light information for adaptive advantage. Examples include the visual system, where photoreceptor signals are interpreted as images, and the circadian system, where light entrains a physiological clock. Here we describe a local, non-visual light response in mice that employs encephalopsin (OPN3, a 480 nm, blue light responsive opsin) to regulate the function of adipocytes. Germ line null and adipocyte-specific conditional null mice show a deficit in thermogenesis that is phenocopied in mice under blue-light deficient conditions. We show that blue light stimulation of adipocytes activates hormone sensitive lipase, the rate limiting enzyme in the lipolysis pathway, and that this is OPN3-dependent. Opn3 adipocyte conditional null mice also use reduced levels of fat mass when fasted and cold exposed further suggesting a lipolysis deficit. These data suggest the hypothesis that in mice, a local, OPN3-dependent light response in adipocytes is a mechanism for regulation of energy homeostasis.

physiology↗

bioRxiv2019

Efficient strategies to detect genome editing and integrity in CRISPR-Cas9 engineered ESCs

CRISPR-mediated genome engineering provides a powerful tool to study the function of genes and proteins. In the past decades, the advances in genome and transcriptome sequencing techniques have shed light on the genetic causes underlying many human diseases, such as neurodevelopmental disabilities or cancer. Sometimes, a single point-mutation in a protein coding gene has been identified as the primary cause of the disease. CRISPR-Cas offers the possibility to introduce or remove such a mutation of interest to understand disease mechanisms and even bears therapeutic potential. We describe the adaptation of an experimental strategy that allows the mutation of protein residues in mouse embryonic stem cells (ESCs) and propose a new screening method, Mismatch-qPCR, to reliably detect editing events in clonal cell lines as an alternative to restriction digest or Sanger sequencing. Finally, we show that RNA-Sequencing (RNA-Seq) data or low-coverage genomic sequencing data can be used to detect large chromosomal deletions and rearrangements that frequently occur at the CRISPR-targeting site.

genetics↗

bioRxiv2019

Cohesin disrupts polycomb-dependent chromosome interactions

How chromosome organisation is related to genome function remains poorly understood. Cohesin, loop-extrusion, and CTCF have been proposed to create structures called topologically associating domains (TADs) to regulate gene expression. Here, we examine chromosome conformation in embryonic stem cells lacking cohesin and find as in other cell types that cohesin is required to create TADs and regulate A/B compartmentalisation. However, in the absence of cohesin we identify a series of long-range chromosomal interactions that persist. These correspond to regions of the genome occupied by the polycomb repressive system, depend on PRC1, and we discover that cohesin counteracts these interactions. This disruptive activity is independent of CTCF and TADs, and regulates gene repression by the polycomb system. Therefore, in contrast to the proposal that cohesin creates structure in chromosomes, we discover a new role for cohesin in disrupting polycomb-dependent chromosome interactions to regulate gene expression.

genetics↗

bioRxiv2019

Transposable elements drive reorganisation of 3D chromatin during early embryogenesis

Transposable elements are abundant genetic components of eukaryotic genomes with important regulatory features affecting transcription, splicing, and recombination, among others. Here we demonstrate that the Murine Endogenous Retroviral Element (MuERV-L/MERVL) family of transposable elements drives the 3D reorganisation of the genome in the early mouse embryo. By generating Hi-C data in 2-cell-like cells, we show that MERLV elements promote the formation of insulating domain boundaries through-out the genome in vivo and in vitro. The formation of these boundaries is coupled to the upregulation of directional transcription from MERVL, which results in the activation of a subset of the gene expression programme of the 2-cell stage embryo. Domain boundaries in the 2-cell stage embryo are transient and can be remodelled without undergoing cell division. Remarkably, we find extensive inter-strain MERVL variation, suggesting multiple non-overlapping rounds of recent genome invasion and a high regulatory plasticity of genome organisation. Our results demonstrate that MERVL drive chromatin organisation during early embryonic development shedding light into how nuclear organisation emerges during zygotic genome activation in mammals.

genomics↗