Binding Signatures Research Articles

A ferritin gene in the marine copepod Acartia tonsa as a highly sensitive biomonitor for nano-contamination

Toxicology is not only for eco-risk assessments, but also for the real-time environmental monitoring based on the quick response of specific biomarkers. Ferritin gene (ftn) is a potential biomarker involving in crucial protective responses in biota. However, little information is available concerning the ftn in marine copepod Acartia tonsa (A. tonsa), a model organism widely applied in toxicology assessments. Our study for the first time identified and characterized the ftn in A. tonsa, along with its time-dependent transcriptional response to the reproductive toxicity of two newly emerged nanomaterials. The full-length cDNA of ftn contains a 114-bp 5′-untranslated region (UTR), a 236-bp 3′-untranslated region, and a 510-bp open reading frame which encodes an 18.51 kDa polypeptide composed of 169 amino acids. The ftn sequence has an iron binding signature and a potential phosphorylation site, which is closely-related to the ftn of Calanus sinicus and Pseudodiaptomus annandalei genes at the phylogenetical level. The ftn showed a quick and highly sensitive response to nanomaterial exposures, even at no observed effect concentrations. In detail, after exposure to nickel nanomaterials (up to 17.0 mg/L), the ftn was significantly upregulated immediately at 0.5 h and peaked at 9.5-fold in adults within 48 h, along with a significant reduction of egg hatching rate. When exposed to CdSe/ZnS quantum dots (up to 135 mg/L), no significant change in egg productions or hatching rates was observed, while the expression of ftn still significantly increased to over 3.0-fold in the initial 48 h. After that, the upregulation of ftn induced by CdSe/ZnS quantum dots or nickel nanoparticles both gradually returned back within 96 h. These findings demonstrate the highly sensitive response of this new cloned ftn to nanomaterial exposures, and highlight the suitability of ftn in A. tonsa as a promising biomonitor for nano-contamination in marine environments.

EWS/FLI mediated reprogramming of 3D chromatin promotes an altered transcriptional state in Ewing sarcoma.

Ewing sarcoma is a prototypical fusion transcription factor-associated pediatric cancer that expresses EWS/FLI or a highly related FET/ETS chimera. EWS/FLI dysregulates transcription to induce and maintain sarcomagenesis, but the mechanisms utilized are not fully understood. We therefore sought to define the global effects of EWS/FLI on chromatin conformation and transcription in Ewing sarcoma cells using a well-validated ‘knock-down/rescue’ model of EWS/FLI function in combination with next generation sequencing assays to evaluate how the chromatin landscape changes with loss, and recovery, of EWS/FLI expression. We found that EWS/FLI (and EWS/ERG) genomic localization is largely conserved across multiple patient-derived Ewing sarcoma cell lines. This EWS/FLI binding signature is associated with establishment of topologically-associated domain (TAD) boundaries, compartment activation, enhancer-promoter looping that involve both intra- and inter-TAD interactions, and gene activation. In addition, EWS/FLI co-localizes with the loop-extrusion factor cohesin to promote chromatin loops and TAD boundaries. Importantly, local chromatin features provide the basis for transcriptional heterogeneity in regulation of direct EWS/FLI target genes across different Ewing sarcoma cell lines. These data demonstrate a key role of EWS/FLI in mediating genome-wide changes in chromatin configuration and support the notion that fusion transcription factors serve as master regulators of three-dimensional reprogramming of chromatin.

Forces Driving a Magic Bullet to Its Target: Revisiting the Role of Thermodynamics in Drug Design, Development, and Optimization.

Drug discovery strategies have advanced significantly towards prioritizing target selectivity to achieve the longstanding goal of identifying “magic bullets” amongst thousands of chemical molecules screened for therapeutic efficacy. A myriad of emerging and existing health threats, including the SARS-CoV-2 pandemic, alarming increase in bacterial resistance, and potentially fatal chronic ailments, such as cancer, cardiovascular disease, and neurodegeneration, have incentivized the discovery of novel therapeutics in treatment regimens. The design, development, and optimization of lead compounds represent an arduous and time-consuming process that necessitates the assessment of specific criteria and metrics derived via multidisciplinary approaches incorporating functional, structural, and energetic properties. The present review focuses on specific methodologies and technologies aimed at advancing drug development with particular emphasis on the role of thermodynamics in elucidating the underlying forces governing ligand–target interaction selectivity and specificity. In the pursuit of novel therapeutics, isothermal titration calorimetry (ITC) has been utilized extensively over the past two decades to bolster drug discovery efforts, yielding information-rich thermodynamic binding signatures. A wealth of studies recognizes the need for mining thermodynamic databases to critically examine and evaluate prospective drug candidates on the basis of available metrics. The ultimate power and utility of thermodynamics within drug discovery strategies reside in the characterization and comparison of intrinsic binding signatures that facilitate the elucidation of structural–energetic correlations which assist in lead compound identification and optimization to improve overall therapeutic efficacy.

Runx2 regulates chromatin accessibility to direct the osteoblast program at neonatal stages.

SUMMARYThe transcriptional regulator Runx2 (runt-related transcription factor 2) has essential but distinct roles in osteoblasts and chondrocytes in skeletal development. However, Runx2-mediated regulatory mechanisms underlying the distinctive programming of osteoblasts and chondrocytes are not well understood. Here, we perform an integrative analysis to investigate Runx2-DNA binding and chromatin accessibility ex vivo using neonatal osteoblasts and chondrocytes. We find that Runx2 engages with cell-type-distinct chromatin-accessible regions, potentially interacting with different combinations of transcriptional regulators, forming cell-type-specific hotspots, and potentiating chromatin accessibility. Genetic analysis and direct cellular reprogramming studies suggest that Runx2 is essential for establishment of chromatin accessibility in osteoblasts. Functional enhancer studies identify an Sp7 distal enhancer driven by Runx2-dependent binding and osteoblast-specific chromatin accessibility, contributing to normal osteoblast differentiation. Our findings provide a framework for understanding the regulatory landscape encompassing Runx2-mediated and cell-type-distinct enhancer networks that underlie the specification of osteoblasts.

Epigenomic analysis reveals a dynamic and context-specific macrophage enhancer landscape associated with innate immune activation and tolerance

BackgroundChromatin states and enhancers associate gene expression, cell identity and disease. Here, we systematically delineate the acute innate immune response to endotoxin in terms of human macrophage enhancer activity and contrast with endotoxin tolerance, profiling the coding and non-coding transcriptome, chromatin accessibility and epigenetic modifications.ResultsWe describe the spectrum of enhancers under acute and tolerance conditions and the regulatory networks between these enhancers and biological processes including gene expression, splicing regulation, transcription factor binding and enhancer RNA signatures. We demonstrate that the vast majority of differentially regulated enhancers on acute stimulation are subject to tolerance and that expression quantitative trait loci, disease-risk variants and eRNAs are enriched in these regulatory regions and related to context-specific gene expression. We find enrichment for context-specific eQTL involving endotoxin response and specific infections and delineate specific differential regions informative for GWAS variants in inflammatory bowel disease and multiple sclerosis, together with a context-specific enhancer involving a bacterial infection eQTL for KLF4. We show enrichment in differential enhancers for tolerance involving transcription factors NFκB-p65, STATs and IRFs and prioritize putative causal genes directly linking genetic variants and disease risk enhancers. We further delineate similarities and differences in epigenetic landscape between stem cell-derived macrophages and primary cells and characterize the context-specific enhancer activities for key innate immune response genes KLF4, SLAMF1 and IL2RA.ConclusionsOur study demonstrates the importance of context-specific macrophage enhancers in gene regulation and utility for interpreting disease associations, providing a roadmap to link genetic variants with molecular and cellular functions.

Water Networks Repopulate Protein-Ligand Interfaces with Temperature.

High‐resolution crystal structures highlight the importance of water networks in protein–ligand interactions. However, as these are typically determined at cryogenic temperature, resulting insights may be structurally precise but not biologically accurate. By collecting 10 matched room‐temperature and cryogenic datasets of the biomedical target Hsp90α, we identified changes in water networks that impact protein conformations at the ligand binding interface. Water repositioning with temperature repopulates protein ensembles and ligand interactions. We introduce Flipper conformational barcodes to identify temperature‐sensitive regions in electron density maps. This revealed that temperature‐responsive states coincide with ligand‐responsive regions and capture unique binding signatures that disappear upon cryo‐cooling. Our results have implications for discovering Hsp90 selective ligands, and, more generally, for the utility of hidden protein and water conformations in drug discovery.

Water Networks Repopulate Protein–Ligand Interfaces with Temperature

AbstractHigh‐resolution crystal structures highlight the importance of water networks in protein–ligand interactions. However, as these are typically determined at cryogenic temperature, resulting insights may be structurally precise but not biologically accurate. By collecting 10 matched room‐temperature and cryogenic datasets of the biomedical target Hsp90α, we identified changes in water networks that impact protein conformations at the ligand binding interface. Water repositioning with temperature repopulates protein ensembles and ligand interactions. We introduce Flipper conformational barcodes to identify temperature‐sensitive regions in electron density maps. This revealed that temperature‐responsive states coincide with ligand‐responsive regions and capture unique binding signatures that disappear upon cryo‐cooling. Our results have implications for discovering Hsp90 selective ligands, and, more generally, for the utility of hidden protein and water conformations in drug discovery.

Synthesis of Bifacial Peptide Nucleic Acids with Diketopiperazine Backbones.

We report a synthesis of bifacial peptide nucleic acids (bPNAs) with novel diketopiperazine (DKP) backbones that display unnatural melamine (M) bases, as well as native bases. To examine the structure-function scope of DKP bPNAs, we synthesized a set of bPNAs by using diaminopropionic acid, diaminobutyric acid, ornithine, and lysine derivatives to display the base-tripling motifs, which result in one, two, three, or four carbons linking the alpha carbon to the side-chain amine. Thermal denaturation of DNA hybrids with these bPNAs revealed that the optimal side-chain linkage was four carbons, corresponding to the lysine derivative. Accordingly, monomers displaying two bases per side-chain were prepared through double reductive alkylation of the ε-amine of Fmoc-lysine with acetaldehyde derivatives of adenine, cytidine, uridine, and melamine. With these building blocks in hand, DKP bPNAs were prepared to display a combination of native and synthetic (melamine) bases. Preliminary melting studies indicate binding signatures of cytidine- and melamine-displaying bPNAs to T-rich DNAs of noncanonical structure, though full characterization of this behavior is ongoing. The convenient and potentially scalable method described enables rapid access to DNA-binding scaffolds of low (<1 kD) molecular weight and previously established cell permeability. We expect that this straightforward and efficient approach to nucleic acid binders will enable studies on noncanonical nucleic acid hybridization.

Cortical signatures of auditory object binding in children with autism spectrum disorder are anomalous in concordance with behavior and diagnosis.

Organizing sensory information into coherent perceptual objects is fundamental to everyday perception and communication. In the visual domain, indirect evidence from cortical responses suggests that children with autism spectrum disorder (ASD) have anomalous figure–ground segregation. While auditory processing abnormalities are common in ASD, especially in environments with multiple sound sources, to date, the question of scene segregation in ASD has not been directly investigated in audition. Using magnetoencephalography, we measured cortical responses to unattended (passively experienced) auditory stimuli while parametrically manipulating the degree of temporal coherence that facilitates auditory figure–ground segregation. Results from 21 children with ASD (aged 7–17 years) and 26 age- and IQ-matched typically developing children provide evidence that children with ASD show anomalous growth of cortical neural responses with increasing temporal coherence of the auditory figure. The documented neurophysiological abnormalities did not depend on age, and were reflected both in the response evoked by changes in temporal coherence of the auditory scene and in the associated induced gamma rhythms. Furthermore, the individual neural measures were predictive of diagnosis (83% accuracy) and also correlated with behavioral measures of ASD severity and auditory processing abnormalities. These findings offer new insight into the neural mechanisms underlying auditory perceptual deficits and sensory overload in ASD, and suggest that temporal-coherence-based auditory scene analysis and suprathreshold processing of coherent auditory objects may be atypical in ASD.

How the healthy ageing brain supports semantic binding during language comprehension.

Semantic binding refers to constructing complex meaning based on elementary building blocks. Using electroencephalography (EEG), we investigated the age-related changes in modulations of oscillatory brain activity supporting lexical retrieval and semantic binding. Young and older adult participants were visually presented two-word phrases, which for the first word revealed a lexical retrieval signature (e.g., swift vs. swrfeq) and for the second word revealed a semantic binding signature (e.g., horse in a semantic binding "swift horse" vs. no binding "swrfeq horse" context). The oscillatory brain activity associated with lexical retrieval as well as semantic binding significantly differed between healthy older and young adults. Specifically for lexical retrieval, we found that different age groups exhibited opposite patterns of theta and alpha modulation, which as a combined picture suggest that lexical retrieval is associated with different and delayed signatures in older compared with young adults. For semantic binding, in young adults, we found a signature in the low-beta range centred around the target word onset (i.e., a smaller low-beta increase for binding relative to no binding), whereas in healthy older adults, we found an opposite binding signature about ~500 ms later in the low- and high-beta range (i.e., a smaller low- and high-beta decrease for binding relative to no binding). The novel finding of a different and delayed oscillatory signature for semantic binding in healthy older adults reflects that the integration of word meaning into the semantic context takes longer and relies on different mechanisms in healthy older compared with young adults.

Detecting impaired language processing in patients with mild cognitive impairment using around-the-ear cEEgrid electrodes.

Mild cognitive impairment (MCI) is the term used to identify those individuals with subjective and objective cognitive decline but with preserved activities of daily living and an absence of dementia. Although MCI can impact functioning in different cognitive domains, most notably episodic memory, relatively little is known about the comprehension of language in MCI. In this study, we used around-the-ear electrodes (cEEGrids) to identify impairments during language comprehension in patients with MCI. In a group of 23 patients with MCI and 23 age-matched controls, language comprehension was tested in a two-word phrase paradigm. We examined the oscillatory changes following word onset as a function of lexico-semantic single-word retrieval (e.g., swrfeq vs. swift) and multiword binding processes (e.g., horse preceded by swift vs. preceded by swrfeq). Electrophysiological signatures (as measured by the cEEGrids) were significantly different between patients with MCI and controls. In controls, lexical retrieval was associated with a rebound in the alpha/beta range, and binding was associated with a post-word alpha/beta suppression. In contrast, both the single-word retrieval and multiword binding signatures were absent in the MCI group. The signatures observed using cEEGrids in controls were comparable with those signatures obtained with a full-cap EEG setup. Importantly, our findings suggest that patients with MCI have impaired electrophysiological signatures for comprehending single words and multiword phrases. Moreover, cEEGrid setups provide a noninvasive and sensitive clinical tool for detecting early impairments in language comprehension in MCI.

Investigation of Protein-Lipid Interactions Using Native Mass Spectrometry.

Integral membrane proteins are embedded in biological membranes where various lipids modulate their structure and function. There exists a critical need to elucidate how these lipids participate in the physiological and pathological processes associated with the membrane protein dysfunction. Native mass spectrometry (MS), combined with ion mobility spectrometry (IM), is emerging as a powerful tool to probe membrane protein complexes and their interactions with ligands, lipids, and other small molecules. Unlike other biophysical approaches, native IM-MS can resolve individual ligand/lipid binding events. We have developed a novel method using native MS, coupled with a temperature-control apparatus, to determine the thermodynamic parameters of individual ligand or lipid binding events to proteins. This approach has been validated using several soluble protein-ligand systems wherein MS results are compared with those acquired from conventional biophysical techniques, such as isothermal titration calorimetry (ITC) and surface plasmon resonance (SPR). Using these principles, it is possible to elucidate the thermodynamics of individual lipid binding to integral membrane proteins. Herein, we use the ammonia channel (AmtB) from Escherichia coli as a model membrane protein. Remarkably, distinct thermodynamic signatures for AmtB binding to lipids with different headgroups and acyl chain configurations are observed. Additionally, using a mutant form of AmtB that abolishes a specific lipid binding site, distinct changes have been discovered in the thermodynamic signatures compared with the wild-type, implying that these signatures can identify key residues involved in specific lipid binding and potentially differentiate between specific lipid binding sites. This chapter provides procedures and findings associated with temperature-controlled native MS as a novel approach to interrogate membrane proteins and their interactions with lipids and other molecules.

Mapping antibody binding using multiplexed epitope substitution analysis

A more complete understanding of antibody epitopes would aid the development of diagnostics, therapeutic antibodies, and vaccines. However, current methods for mapping antibody binding to epitopes require a targeted experimental approach, which limits throughput. To address these limitations, we developed Multiplexed Epitope Substitution Analysis (MESA) which can rapidly characterize various distinct epitopes using millions of antibody-binding peptides. We screened peptides from a random 12-mer library that bound to human serum antibody repertoires and determined their sequences using next-generation sequencing (NGS). Computationally, we divided target epitope sequences into overlapping k-mer subsequences and substituted the positions in each k-mer with all 20 amino acids, mimicking a saturation mutagenesis. We then determined enrichments of the substituted k-mers in the screened peptide dataset and used these enrichments to identify substitutions favored for binding at each position in the target epitope, ultimately revealing the precise binding motif. To validate MESA, we determined binding motifs for monoclonal antibodies spiked into serum, recovering the expected binding positions and amino acid preferences. To characterize epitopes bound by a population, we analyzed 50 serum specimens to determine the binding motifs within various target epitopes from common pathogens. Additionally, by analyzing various HSV-1 glycoprotein epitopes, MESA revealed unique binding signatures for HSV-1 seropositive specimens and demonstrated the variability of binding signatures within a population. These results demonstrate that MESA can rapidly identify and characterize binding motifs for an unlimited number of epitopes from a single experiment, accelerating discoveries and enhancing our understanding of antibody-epitope interactions.

On the Weak Binding and Spectroscopic Signature of SARS-CoV-2 nsp14 Interaction with RNA.

The SARS‐CoV‐2 non‐structural protein 14 (nsp14), known as exoribonuclease is encoded from the large polyprotein of viral genome and is a major constituent of the transcription replication complex (TRC) machinery of the viral RNA synthesis. This protein is highly conserved among the coronaviruses and is a potential target for the development of a therapeutic drug. Here, we report the SARS‐CoV‐2 nsp14 expression, show its structural characterization, and ss‐RNA exonuclease activity through vibrational and electronic spectroscopies. The deconvolution of amide‐I band in the FTIR spectrum of the protein revealed a composition of 35 % α‐helix and 25 % β‐sheets. The binding between protein and RNA is evidenced from the spectral changes in the amide‐I region of the nsp14, showing protein conformational changes during the binding process. A value of 20.60±3.81 mol L−1 of the binding constant (K D) is obtained for nsp14/RNA complex. The findings reported here can motivate further studies to develop structural models for better understanding the mechanism of exonuclease enzymes for correcting the viral genome and can help in the development of drugs against SARS‐CoV‐2.

Correlating the Properties of Antibiotics with the Energetics of Partitioning in Colloidal Self-Assemblies and the Effect on the Binding of a Released Drug with a Target Protein.

The bioavailability of drugs and the monitoring of efficient dosage requires drug delivery through suitable vehicles. The partitioning characteristics of the drugs in the delivery vehicles is determined by their molecular features and structure. A quantitative understanding of the partitioning of drugs into delivery media and its subsequent release and binding to the target protein is essential to deriving guidelines for rational drug design. We have studied the partitioning of aminoglycosides and macrolide antibiotic drugs kanamycin, gentamicin, azithromycin, and erythromycin in cationic, nonionic, and the mixture of cationic and nonionic self-assemblies. The quantitative aspects of drug partitioning followed by the monitoring of its interaction with target model protein bovine serum albumin on subsequent release have been performed by using a combination of spectroscopy and high-sensitivity calorimetry. The mechanisms of partitioning have been analyzed on the basis of the values of standard molar enthalpy, entropy, the Gibbs free-energy change, and stoichiometry of interaction. The integrity of the binding sites and the effects of the components of the self-assemblies and the released drug on the serum albumin were analyzed by using differential scanning calorimetry and circular dichroism spectroscopy. The thermodynamic signatures of drug partitioning and subsequent binding to target protein have enabled an in-depth correlation of the structure-property-energetics relationships which are crucial for the broader objective of rational drug design.

Plausible blockers of Spike RBD in SARS-CoV2-molecular design and underlying interaction dynamics from high-level structural descriptors.

COVID-19 is characterized by an unprecedented abrupt increase in the viral transmission rate (SARS-CoV-2) relative to its pandemic evolutionary ancestor, SARS-CoV (2003). The complex molecular cascade of events related to the viral pathogenicity is triggered by the Spike protein upon interacting with the ACE2 receptor on human lung cells through its receptor binding domain (RBDSpike). One potential therapeutic strategy to combat COVID-19 could thus be limiting the infection by blocking this key interaction. In this current study, we adopt a protein design approach to predict and propose non-virulent structural mimics of the RBDSpike which can potentially serve as its competitive inhibitors in binding to ACE2. The RBDSpike is an independently foldable protein domain, resilient to conformational changes upon mutations and therefore an attractive target for strategic re-design. Interestingly, in spite of displaying an optimal shape fit between their interacting surfaces (attributed to a consequently high mutual affinity), the RBDSpike–ACE2 interaction appears to have a quasi-stable character due to a poor electrostatic match at their interface. Structural analyses of homologous protein complexes reveal that the ACE2 binding site of RBDSpike has an unusually high degree of solvent-exposed hydrophobic residues, attributed to key evolutionary changes, making it inherently “reaction-prone.” The designed mimics aimed to block the viral entry by occupying the available binding sites on ACE2, are tested to have signatures of stable high-affinity binding with ACE2 (cross-validated by appropriate free energy estimates), overriding the native quasi-stable feature. The results show the apt of directly adapting natural examples in rational protein design, wherein, homology-based threading coupled with strategic “hydrophobic ↔ polar” mutations serve as a potential breakthrough.Graphical Supplementary InformationThe online version contains supplementary material available at 10.1007/s00894-021-04779-0.

Epitope profiling reveals binding signatures of SARS-CoV-2 immune response in natural infection and cross-reactivity with endemic human CoVs.

A major goal of current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine efforts is to elicit antibody responses that confer protection. Mapping the epitope targets of the SARS-CoV-2 antibody response is critical for vaccine design, diagnostics, and development of therapeutics. Here, we develop a pan-coronavirus phage display library to map antibody binding sites at high resolution within the complete viral proteomes of all known human-infecting coronaviruses in patients with mild or moderate/severe coronavirus disease 2019 (COVID-19). We find that the majority of immune responses to SARS-CoV-2 are targeted to the spike protein, nucleocapsid, and ORF1ab and include sites of mutation in current variants of concern. Some epitopes are identified in the majority of samples, while others are rare, and we find variation in the number of epitopes targeted between individuals. We find low levels of SARS-CoV-2 cross-reactivity in individuals with no exposure to the virus and significant cross-reactivity with endemic human coronaviruses (CoVs) in convalescent sera from patients with COVID-19.

Bacterial rRNA A-site recognition by DAPI: Signatures of intercalative binding

The bacterial A-site RNA is one of the key targets towards the development of new antibacterials including new treatment options for tuberculosis. Using DAPI as a prototype, we have explored the potential of bisamidines as a potential chemical motif for bacterial A-site recognition. We have demonstrated that the binding of DAPI shows a concentration-dependent thermal stabilization of the bacterial A-site RNA (ΔTm = 9.9 °C). The binding, however, does not show pH-dependent changes upon lowering of pH. Both UV–vis and CD experiments show that the DAPI binding involves base stacking with the RNA bases in a manner that is analogous to intercalation. Scatchard analysis of the UV–vis titration data revealed a micromolar affinity of the DAPI to the bacterial rRNA A-Site (Ka = 1.14 × 106 M−1) which was corroborated by the FID-based relative binding affinity comparison with aminoglycosides. The molecular docking studies showed binding poses consistent with polar and stacking interactions with the RNA. These studies highlight the role of amidines in bacterial A-site recognition and the need for the development of their structural analogs towards the making of aminoglycoside mimics.

Computational epitope map of SARS-CoV-2 spike protein.

The primary immunological target of COVID-19 vaccines is the SARS-CoV-2 spike (S) protein. S is exposed on the viral surface and mediates viral entry into the host cell. To identify possible antibody binding sites, we performed multi-microsecond molecular dynamics simulations of a 4.1 million atom system containing a patch of viral membrane with four full-length, fully glycosylated and palmitoylated S proteins. By mapping steric accessibility, structural rigidity, sequence conservation, and generic antibody binding signatures, we recover known epitopes on S and reveal promising epitope candidates for structure-based vaccine design. We find that the extensive and inherently flexible glycan coat shields a surface area larger than expected from static structures, highlighting the importance of structural dynamics. The protective glycan shield and the high flexibility of its hinges give the stalk overall low epitope scores. Our computational epitope-mapping procedure is general and should thus prove useful for other viral envelope proteins whose structures have been characterized.

Immunostimulatory Endogenous Nucleic Acids Perpetuate Interface Dermatitis-Translation of Pathogenic Fundamentals Into an In Vitro Model.

Interface dermatitis is a histopathological pattern mirroring a distinct cytotoxic immune response shared by a number of clinically diverse inflammatory skin diseases amongst which lichen planus and cutaneous lupus erythematosus are considered prototypic. Interface dermatitis is characterized by pronounced cytotoxic immune cell infiltration and necroptotic keratinocytes at the dermoepidermal junction. The initial inflammatory reaction is established by cytotoxic immune cells that express CXC chemokine receptor 3 and lesional keratinocytes that produce corresponding ligands, CXC motif ligands 9/10/11, recruiting the effector cells to the site of inflammation. During the resulting anti-epithelial attack, endogenous immune complexes and nucleic acids are released from perishing keratinocytes, which are then perceived by the innate immune system as danger signals. Keratinocytes express a distinct signature of pattern recognition receptors and binding of endogenous nucleic acid motifs to these receptors results in interferon-mediated immune responses and further enhancement of CXC chemokine receptor 3 ligand production. In this perspective article, we will discuss the role of innate nucleic acid sensing as a common mechanism in the perpetuation of clinically heterogeneous diseases featuring interface dermatitis based on own data and a review of the literature. Furthermore, we will introduce a keratinocyte-specific in vitro model of interface dermatitis as follows: Stimulation of human keratinocytes with endogenous nucleic acids alone and in combination with interferon gamma leads to pronounced production of distinct cytokines, which are essential in the pathogenesis of interface dermatitis. This experimental approach bears the capability to investigate potential therapeutics in this group of diseases with unmet medical need.