Biology subjects

Hughes, T. R.

Publications and source records attributed to Hughes, T. R..

At least 19 recordsLinked to original sources

bioRxiv2026

Development of a nanomedicine approach to improve the therapeutic index of bexarotene.

Bexarotene (BEX), a retinoid X receptor (RXR) agonist, has demonstrated therapeutic potential in oncology, neurodegenerative diseases and inflammatory conditions, including multiple sclerosis (MS). However, its broader clinical application is limited by poor aqueous solubility, low bioavailability, and dose-limiting adverse effects, most notably hypertriglyceridaemia. In this study, we investigated whether conjugation of BEX to dextrin, a biodegradable polysaccharide, could improve its physicochemical properties and therapeutic index. A dextrin-BEX conjugate was synthesised using succinoylated dextrin (30 mol%) and characterised by gel permeation chromatography (GPC), Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (1H-NMR) and dynamic light scattering (DLS). The effects of conjugation on solubility, aggregation behaviour and biological activity were evaluated using in vitro cytotoxicity assays in leukaemia, liver and fibroblast cell lines, alongside measurements of intracellular triglyceride levels. The impact on lipid metabolism and toxicity was further assessed in an in vivo murine model of hyperlipidaemia. Dextrin conjugation significantly increased the aqueous solubility of BEX (from <0.004 mg/mL to 9.88 mg/mL) and led to the formation of nanoscale aggregates in solution. This was associated with a marked increase in in vitro potency, with IC50 values reduced by up to 14-fold across multiple cell lines. However, the increased cytotoxicity was not selective for cancer cells and was also observed in normal fibroblast and hepatic cell models. The dextrin-BEX conjugate did not induce intracellular triglyceride accumulation in vitro. In vivo, dextrin conjugation did not mitigate BEX-associated lipid dysregulation, while serum triglyceride levels and markers of liver injury remained unchanged. However, although free BEX led to a significant increase in liver weight after 14 days, the dextrin-BEX conjugate did not produce a statistically significant effect. In conclusion, dextrin conjugation markedly improves the solubility and in vitro potency of BEX but does not enhance its selectivity or reduce its metabolic toxicity in vivo. These findings suggest that while polymer conjugation is an effective strategy for addressing physicochemical limitations, it is insufficient to overcome the inherent dyslipidaemia associated with systemic RXR activation. Future strategies should focus on integrating targeting and controlled release mechanisms, alongside approaches that address the underlying pharmacological drivers of lipid dysregulation.

pharmacology and toxicology↗

bioRxiv2026

Pumilio and Brain tumor regulate the expression of Smaug during the Drosophila maternal-to-zygotic transition

During the Drosophila maternal-to-zygotic transition, maternally deposited RNAs are cleared in a temporally controlled manner. The RNA-binding protein Smaug is a major regulator of maternal mRNA decay and its expression at both the RNA and protein level is limited to a narrow temporal window during the MZT. Here we show that Pumilio RNA-binding protein promotes degradation of smaug mRNA at the end of the MZT through Pumilio-binding cis-elements in the smaug 3 untranslated region, and that disruption of this regulation leads to ectopic Smaug protein expression beyond its normal developmental window. We further find that another RNA-binding protein, Brain tumor, also contributes to repression of ectopic Smaug expression. Transcriptome-wide analyses of embryos lacking Pumilio reveal that it directly regulates hundreds of maternal mRNAs after zygotic genome activation, with many of these Pumilio targets also regulated by Brain tumor. The ectopic Smaug protein that results from loss of either Pumilio or Brain tumor causes widespread downregulation of mRNAs that contain Smaug binding sites. Together, these findings define a post-transcriptional regulatory pathway in which Pumilio and Brain tumor ensure orderly progression of the Drosophila maternal-to-zygotic by clearing smaug mRNA and preventing ectopic Smaug activity.

developmental biology↗

bioRxiv2026

Integrative analysis reveals extensive interactions among C2H2 zinc finger proteins at chromatin loop anchors

Cys2-His2 -zinc-finger proteins (C2H2-ZFPs) form the largest class of human transcription factors, yet their potential role (s) in higher-order genome organization has remained largely poorly defined. To date, only a small number of family members, e.g., CTCF and YY1, have been shown to function in chromatin organization. Here, we examined the global relationship between C2H2-ZFPs and long-range chromatin interactions (LRIs). By integrating ChIP-seq datasets for 216 C2H2-ZFPs and genome-wide maps of chromatin looping, we observe that more than 40% of the human C2H2-ZFPs are significantly enriched at LRI anchors. We found that depletion of a subset of such C2H2-ZFPs is associated with altered expression of genes linked by the LRIs they occupy. To investigate whether protein-protein interactions (PPIs) contribute to this pattern, we generated a large-scale interactome using affinity purification followed by mass spectrometry experiments, encompassing 345 C2H2-ZFPs, and LUMIER binary interaction assays for 204 C2H2-ZFPs. We identified 1,732 binary interactions, suggesting extensive connectivity among the C2H2-ZFP family members. Integrative analysis of PPI, ChIP-seq, and chromatin interaction datasets revealed that interacting C2H2-ZFP pairs are significantly co-enriched at LRIs and frequently localize to either the same or opposing loop anchors. Finally, by correlating ChIP-seq with cancer mutational datasets, we observe that DNA-binding sites of [~]35% of LRI-associated C2H2-ZFPs overlap somatic mutations in cancer genomes. Together, our results reveal a widespread network of C2H2-ZFP interactions associated with chromatin loop anchors, providing an important resource for elucidating mechanisms regulating chromatin organization.

genomics↗

bioRxiv2025

Inferring binding specificities of human transcription factors with the wisdom of crowds

DNA motif discovery and, particularly, computational modeling of transcription factor binding motifs, has been a mecca of algorithmic bioinformatics for several decades. Here, we report the results of the largest open community challenge in Inferring BInding Specificities (IBIS), where participants all over the world were invited to construct binding specificity models from multi-assay experimental data for poorly studied human transcription factors. The submissions were rigorously tested against a rich held-out dataset. Benchmarking demonstrated a consistent advantage of properly designed deep learning models over traditional positional weight matrices and other machine learning methods. Yet, the positional weight matrices displayed a surprisingly strong performance out of the box, being only slightly behind the best deep learning models. A post-challenge assessment of a selection of other deep learning methods further solidified this finding. IBIS highlights the power of benchmarking in finding adequate DNA motif representations, emphasizes the pros and cons of various machine learning methods applied to DNA motif modeling, and establishes a rich dataset, benchmarking protocols, and computational framework for a fair cross-platform evaluation of future models of transcription factor binding motifs in DNA sequences. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=175 SRC="FIGDIR/small/688692v1_ufig1.gif" ALT="Figure 1"> View larger version (64K): org.highwire.dtl.DTLVardef@1c6677corg.highwire.dtl.DTLVardef@b4124aorg.highwire.dtl.DTLVardef@1ce2b1org.highwire.dtl.DTLVardef@66e917_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2025

Differential usage of two, distinct DNA-binding domains regulates tissue-specific occupancy of the pioneer factor Zelda

Pioneer transcription factors act at the top of gene-regulatory networks by promoting accessible chromatin at the cis-regulatory regions that drive gene expression. Despite their ability to bind closed chromatin, pioneer factors occupy distinct binding sites in different tissues. The pioneer factor Zelda promotes the undifferentiated fate in both the early Drosophila embryo and in the neural stem cells (neuroblasts) of the larval brain. Tissue-specific binding by Zelda identifies cell-type specific enhancers, which are enriched for different DNA-sequence motifs. We investigated the features that promoted cell-type specific occupancy by testing the role of conserved, structured protein domains in the capacity of Zelda to promote the embryonic and neuroblast cell fates. We unexpectedly identified that the most deeply conserved region in Zelda, the second zinc finger, has opposing functions in the embryo and neuroblasts. We showed that this zinc finger is a previously unrecognized DNA-binding domain that is specifically required for Zelda binding to a G-rich motif in larval neuroblasts. The pioneering function of Zelda depends largely on the C-terminal cluster of zinc fingers that promotes binding in the early embryo, suggesting that pioneer function may depend on how Zelda engages the genome. As opposed to co-factor expression or chromatin environment, our data identify tissue-specific usage of two, widely separated DNA-binding domains as the mechanism controlling tissue-specific binding and activity.

developmental biology↗

bioRxiv2025

Systematic investigation of Epstein-Barr virus transcriptional regulator interactions with the human genome

We systematically investigate interactions between Epstein-Barr virus (EBV) transcriptional regulators (vTRs) and the human genome. Starting with 16 known and candidate vTRs, we identify nine whose introduction into human cells results in substantial alterations to host gene expression. Genome-scale determination of vTR genomic binding events and alterations to chromatin accessibility reveals a detailed map of EBVs functional interactions with the human genome, including >100,000 vTR binding events impacting almost a quarter of all human genes. BMRF1 emerges as a potent regulator, impacting >7,000 genes and altering >37,000 chromatin regions. Our results provide new evidence that EBV RTA interacts with and stabilizes the binding of human RBPJ. Network analysis reveals that many human genes are targeted by multiple EBV vTRs, highlighting the vast coordinated impact of EBV on human gene expression. This study provides a valuable, extensive resource for examining EBV-induced alterations to human gene regulation, with data available on multiple platforms.

genomics↗

bioRxiv2025

Cytomegalovirus-induced T cell responses accelerate Alzheimer's disease progression in mice

Infections have long been implicated as causative factors in Alzheimers disease (AD). Multiple studies have further suggested a key role for herpesviruses, such as cytomegalovirus (CMV). Using transgenic 3xTg-AD mice, we demonstrate that systemic infection with the {beta}-herpesvirus murine cytomegalovirus (MCMV) accelerates the development of cognitive decline, tauopathy, and synaptic loss in the hippocampus, all of which are key features of AD. Accelerated disease progression after infection was associated with substantial lymphocyte infiltration into the brain dominated by CD8+ T cells specific for MCMV. Moreover, T cell receptor analyses revealed that these responses were clonally diverse, suggesting that multiple viral antigens were targeted in the brain during chronic infection with MCMV. T cell depletion during virus chronicity rescued infection-induced cognitive decline. In addition, antiviral drug treatment reduced lymphocytic infiltrates in the brain and reversed cognitive decline, suggesting potential clinical utility. These data provide a mechanistic link between chronic viral infections and the development of AD.

immunology↗

bioRxiv2024

GHT-SELEX demonstrates unexpectedly high intrinsic sequence specificity and complex DNA binding of many human transcription factors

Precise identification of transcription factor (TF) binding sites is a long standing challenge in human regulatory genomics: TF binding motifs are short and degenerate, while the genome is large. Motif scans, therefore, often produce excessive binding site predictions. By surveying 179 TFs across 25 families using >1,500 cyclic in vitro selection experiments with fragmented, naked, and unmodified genomic DNA - a method we term GHT-SELEX (Genomic HT-SELEX) - we find that many human TFs possess much higher sequence specificity than anticipated. Moreover, genomic binding regions from GHT-SELEX are often surprisingly similar to those obtained in vivo (i.e., ChIP-seq peaks). Contrary to conventional wisdom, we find that high specificity can also be obtained from motif scans, but performance is highly dependent on the derivation and use of the motifs, including accounting for multiple local matches. We also observe alternative engagement of multiple DNA-binding domains within the same protein: long C2H2 zinc finger proteins often utilize modular DNA recognition, engaging different subsets of their DNA-binding domain (DBD) arrays to recognize multiple types of distinct target sites, frequently evolving via internal duplication and divergence of one or more DBDs. Thus, it is common for TFs to possess sufficient intrinsic specificity to delineate a large fraction of in vivo genomic targets, independently of other cellular factors.

genomics↗

bioRxiv2024

Cross-platform DNA motif discovery and benchmarking to explore binding specificities of poorly studied human transcription factors

A DNA sequence pattern, or "motif", is an essential representation of DNA-binding specificity of a transcription factor (TF). Any particular motif model has potential flaws due to shortcomings of the underlying experimental data and computational motif discovery algorithm. As a part of the Codebook/GRECO-BIT initiative, here we evaluated at large scale the cross-platform recognition performance of positional weight matrices (PWMs), which remain popular motif models in many practical applications. We applied ten different DNA motif discovery tools to generate PWMs from the "Codebook" data comprised of 4,237 experiments from five different platforms profiling the DNA-binding specificity of 394 human proteins, focusing on understudied transcription factors of different structural families. For many of the proteins, there was no prior knowledge of a genuine motif. By benchmarking-supported human curation, we constructed an approved subset of experiments comprising about 30% of all experiments and 50% of tested TFs which displayed consistent motifs across platforms and replicates. We present the Codebook Motif Explorer (https://mex.autosome.org), a detailed online catalog of DNA motifs, including the top-ranked PWMs, and the underlying source and benchmarking data. We demonstrate that in the case of high-quality experimental data, most of the popular motif discovery tools detect valid motifs and generate PWMs, which perform well both on genomic and synthetic data. Yet, for each of the algorithms, there were problematic combinations of proteins and platforms, and the basic motif properties such as nucleotide composition and information content offered little help in detecting such pitfalls. By combining multiple PMWs in decision trees, we demonstrate how our setup can be readily adapted to train and test binding specificity models more complex than PWMs. Overall, our study provides a rich motif catalog as a solid baseline for advanced models and highlights the power of the multi-platform multi-tool approach for reliable mapping of DNA binding specificities. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=141 SRC="FIGDIR/small/619379v2_ufig1.gif" ALT="Figure 1"> View larger version (61K): org.highwire.dtl.DTLVardef@79561forg.highwire.dtl.DTLVardef@54c0aorg.highwire.dtl.DTLVardef@1c33f34org.highwire.dtl.DTLVardef@16a93ba_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical AbstractC_FLOATNO C_FIG

bioinformatics↗

bioRxiv2024

Identification of methylation-sensitive human transcription factors using meSMiLE-seq

Transcription factors (TFs) are key players in eukaryotic gene regulation, but the DNA binding specificity of many TFs remains unknown. Here, we assayed 284 mostly poorly characterized, putative human TFs using selective microfluidics-based ligand enrichment followed by sequencing (SMiLE-seq), revealing 72 new DNA binding motifs. To investigate whether some of the 158 TFs for which we did not find motifs preferably bind epigenetically modified DNA (i.e. methylated CG dinucleotides), we developed methylation-sensitive SMiLE-seq (meSMiLE-seq). This microfluidic assay simultaneously probes the affinity of a protein to methylated and unmethylated DNA, augmenting the capabilities of the original method to infer methylation-aware binding sites. We assayed 114 TFs with meSMiLE-seq and identified DNA-binding models for 48 proteins, including the known methylation-sensitive binding modes for POU5F1 and RFX5. For 11 TFs, binding to methylated DNA was preferred or resulted in the discovery of alternative, methylation-dependent motifs (e.g. PRDM13), while aversion towards methylated sequences was found for 13 TFs (e.g. USF3). Finally, we uncovered a potential role for ZHX2 as a putative binder of Z-DNA, a left-handed helical DNA structure which is adopted more frequently upon CpG methylation. Altogether, our study significantly expands the human TF codebook by identifying DNA binding motifs for 98 TFs, while providing a versatile platform to quantitatively assay the impact of DNA modifications on TF binding.

genomics↗

bioRxiv2024

Perspectives on Codebook: sequence specificity of uncharacterized human transcription factors

Gene expression is regulated by transcription factors (TFs), which recognize specific DNA sequence motifs. Several hundred putative human TFs, identified mainly by an apparent DNA-binding domain, lack known binding motifs1, and even for well-characterized TFs, it remains controversial to what degree motifs accurately reflect binding sites in living cells2,3. Here, we describe a systematic effort ("Codebook") to determine the sequence specificity of 332 putative and poorly characterized human TFs. Over 4,000 independent experiments, encompassing multiple in vitro and in vivo assays, produced motifs for just over half (177, or 53%), of which most are unique to a single protein, thereby extending the vocabulary of sequence recognition encoded by human TFs by [~]100 distinct motifs. Moreover, binding motifs identified in vitro are strongly enriched within cellular binding sites. Collectively, the data reveal tens of thousands of previously unknown, conserved, and direct TF binding sites across the human genome. These sites are concentrated in promoter regions, and are predictive of gene expression, illustrating that this new data atlas provides an important step forward in decoding the human genome.

genomics↗

bioRxiv2024

Extensive binding of uncharacterized human transcription factors to genomic dark matter

The functional impact of a large portion of the human genome known as "dark matter DNA", which is composed mainly of repeat sequences, remains enigmatic. The genome also encodes hundreds of putative and poorly characterized transcription factors (TFs). Here, we determined genomic binding locations of 166 poorly characterized human TFs in living cells. Nearly half of them associate strongly with known regulatory regions such as promoters and enhancers, frequently co-localizing with each other at conserved motif matches. The other half often associate with genomic dark matter, however, at largely non-overlapping (i.e., unique) sites, via intrinsic sequence recognition. Fifty-four of the latter half, which we term "Dark TFs", mainly bind within regions of closed chromatin, with each recognizing a unique set of repeat sequences. The Dark TFs include many KZNFs, which are known to bind and silence TEs, and other TFs with apparent repressive functions. By contrast, some may be pioneers: we find that induction of TPRX1, a known regulator of zygotic preimplantation, leads to chromatin opening at many of its binding sites in the dark matter genome. Altogether, our results shed light on a large fraction of poorly characterized human TFs and simultaneously illuminate the diversity of function within the dark matter genome.

genomics↗

bioRxiv2024

Reconstructing the sequence specificities of RNA-binding proteins across eukaryotes

RNA-binding proteins (RBPs) are key regulators of gene expression. Here, we introduce EuPRI (Eukaryotic Protein-RNA Interactions) - a freely available resource of RNA motifs for 34,736 RBPs from 690 eukaryotes. EuPRI includes in vitro binding data for 504 RBPs, including newly collected RNAcompete data for 174 RBPs, along with thousands of reconstructed motifs. We reconstruct these motifs with a new computational platform -- Joint Protein-Ligand Embedding (JPLE) -- which can detect distant homology relationships and map specificity-determining peptides. EuPRI quadruples the number of known RBP motifs, expanding the motif repertoire across all major eukaryotic clades, and assigning motifs to the majority of human RBPs. EuPRI drastically improves knowledge of RBP motifs in flowering plants. For example, it increases the number of Arabidopsis thaliana RBP motifs 7-fold, from 14 to 105. EuPRI also has broad utility for inferring post-transcriptional function and evolutionary relationships. We demonstrate this by predicting a role for 12 Arabidopsis thaliana RBPs in RNA stability and identifying rapid and recent evolution of post-transcriptional regulatory networks in worms and plants. In contrast, the vertebrate RNA motif set has remained relatively stable after its drastic expansion between the metazoan and vertebrate ancestors. EuPRI represents a powerful resource for the study of gene regulation across eukaryotes.

genomics↗

bioRxiv2022

Chromatin accessibility is a two-tier process regulated by transcription factor pioneering and enhancer activation

Chromatin accessibility is integral to the process by which transcription factors (TFs) read out cis-regulatory DNA sequences, but it is difficult to differentiate between TFs that drive accessibility and those that do not. Deep learning models that learn complex sequence rules provide an unprecedented opportunity to dissect this problem. Using zygotic genome activation in the Drosophila embryo as a model, we generated high-resolution TF binding and chromatin accessibility data, analyzed the data with interpretable deep learning, and performed genetic experiments for validation. We uncover a clear hierarchical relationship between the pioneer TF Zelda and the TFs involved in axis patterning. Zelda consistently pioneers chromatin accessibility proportional to motif affinity, while patterning TFs augment chromatin accessibility in sequence contexts in which they mediate enhancer activation. We conclude that chromatin accessibility occurs in two phases: one through pioneering, which makes enhancers accessible but not necessarily active, and a second when the correct combination of transcription factors leads to enhancer activation.

genomics↗

bioRxiv2022

An RFX transcription factor regulated ciliogenesis in the progenitors of choanoflagellates and animals

Little is known about the origins of the transcriptional modules that coordinate cell-type specific functions in animals. The controlled expression of one cellular feature - the cilium - was likely critical during early animal evolution. Two key transcription factors, RFX and FoxJ1, coordinate ciliogenesis in animals but are absent from the genomes of most other ciliated eukaryotes, raising the question of how the transcriptional regulation of ciliogenesis has evolved. To reconstruct the evolution of the RFX/FoxJ1 transcriptional module and its role in the regulation of ciliogenesis, we investigated RFX and FoxJ1 function in one of the closest living relatives of animals, the choanoflagellate Salpingoeca rosetta. Targeted disruption of the S. rosetta RFX homolog cRFXa resulted in delayed cell proliferation and aberrant ciliogenesis, marked by the collapse and resorption of nascent cilia. Ciliogenesis genes and foxJ1 were significantly down-regulated in cRFXa mutants, consistent with a pre-animal ancestry for this transcriptional module. We also found that cRFXa protein preferentially binds to a sequence motif that is enriched in the promoters of S. rosetta ciliary genes and matches the sequence motif bound by animal RFX proteins. These findings suggest that RFX coordinated ciliogenesis before the divergence of animals and choanoflagellates, and that the deployment of this module may have provided a mechanism to differentiate ciliated and non-ciliated cell types in early animal evolution.

evolutionary biology↗

bioRxiv2021

The X-linked splicing regulator MBNL3 has been co-opted to restrict placental growth in eutherians

The eutherian placenta is a major site for parental genetic conflict. Here, we identify the X-linked Mbnl3 gene as a novel player in this dispute. Mbnl3 belongs to an RNA binding protein family whose members regulate alternative splicing and other aspects of RNA metabolism in association with cellular differentiation. We find that, in eutherians, Mbnl3 has become specifically expressed in placenta and has undergone accelerated sequence evolution leading to changes in its RNA binding specificities. Although its molecular roles are partly redundant with those of Mbnl2, Mbnl3 has also acquired novel biological functions. In particular, whereas Mbnl2;Mbnl3 double knockout mice display severe placental maturation defects leading to strong histological and functional abnormalities, Mbnl3 knockout alone results in increased placental growth and favors placental and fetal resource allocation during limiting conditions.

evolutionary biology↗

bioRxiv2021

Complement Regulator Factor H is a Cofactor for Thrombin in both Pro- and Anticoagulant Roles

BackgroundComplement FH (FH) is a key regulator of complement activity whereas thrombin (FIIa) is central to hemostasis with both pro- and anticoagulant functions. Both have separately been shown to have auxiliary activities across the two systems. The purpose of this study was to determine the effect of FH on pro- and anti-coagulant functions and investigate the interaction between FH and thrombin. MethodsTail bleeding time and hemolysis were measured in FH-deficient mice (CFH-/-). Activated partial thromboplastin time (aPTT) was determined in FH-depleted human plasma. FH effect on fibrin clot generation was investigated in turbidity assays and on activated protein C (APC) generation. Binding affinity of thrombin with FH was determined using surface plasmon resonance (SPR). ResultsTail bleeding time in CFH-/- mice was significantly prolonged compared to wild type mice. The aPTT in FH-depleted human plasma was elevated compared to normal plasma and restored by adding back FH to depleted plasma. Accordingly, FH enhanced thrombin-mediated fibrin clot generation by shortening lag time, increasing rate of clot formation and maximum turbidity, and affected clot structure. Despite this, FH also increased the rate of thrombin-mediated protein C (PC) activation, both in the presence and absence of soluble recombinant thrombomodulin (TM). Nanomolar affinity binding of FH with thrombin, but not prothrombin, was confirmed. ConclusionComplement FH binds thrombin with strong affinity and acts as a novel cofactor that enhances both pro- and anticoagulant actions of thrombin. These data highlight an important role for FH in hemostasis. Key pointsO_LIAbsence of FH prolongs tail bleeding time in CFH-/- mice and activated partial thromboplastin time (aPTT) is elevated in human FH-depleted plasma. C_LIO_LIFH acts a cofactor for thrombin by enhancing fibrin generation, altering fibrin clot structure and enhancing TM-thrombin mediated protein C activation C_LI

immunology↗

bioRxiv2019

Complement C3 and C3aR differentially impact on learned fear and innate anxiety

Complement is a key component of the immune system with roles in inflammation and host-defence. Here we reveal novel functions of complement pathways impacting on emotional reactivity of potential relevance to the emerging links between complement and risk for psychiatric disorder. We used mouse models to assess the effects of manipulating components of the complement system on emotionality. Mice lacking the complement C3a Receptor (C3aR-/-) demonstrated a selective increase in unconditioned (innate) anxiety whilst mice deficient in the central complement component C3 (C3-/-) showed a selective increase in conditioned (learned) fear. The dissociable behavioural phenotypes were linked to different signalling mechanisms. Effects on innate anxiety were independent of C3a, the canonical ligand for C3aR, consistent with the existence of an alternative ligand mediating innate anxiety, whereas effects on learned fear were due to loss of iC3b/CR3 signalling. Our findings show that specific elements of the complement system and associated signalling pathways contribute differentially to heightened states of anxiety and fear commonly seen in psychopathology.

neuroscience↗