Biology subjects

Pei, S.

Publications and source records attributed to Pei, S..

17 recordsLinked to original sources

bioRxiv2026

Multiscale Transcriptomic Architecture of the ALS Motor Cortex

Amyotrophic lateral sclerosis (ALS) exhibits marked clinical and molecular heterogeneity, but how this heterogeneity is organized within disease-relevant central nervous system regions remains incompletely understood. Because pooled cross-region analyses may confound regional variation with subtype structure, we focused on the motor cortex, a key site of ALS pathology, to resolve its internal transcriptomic organization. Using approximately 600 postmortem motor cortex transcriptomes from the Target ALS resource, we applied gene set variation analysis to generate sample-level pathway activity profiles and performed consensus clustering in pathway space. We identified seven reproducible ALS motor cortex subtypes characterized by distinct inflammatory, damage-response, metabolic, glial, and neuronal/synaptic programs. Donor-held-out projection recovered the seven subtype assignments with a mean balanced accuracy of 0.939, supporting the reproducibility of the pathway-defined subtype structure in unseen donors. Mapping these bulk-defined programs to an independent motor-cortex single-nucleus RNA-seq dataset revealed distinct cellular contexts, while cell-type marker adjustment showed that cellular differences contributed to, but did not fully account for, subtype-associated pathway variation. The seven subtypes also recapitulated major molecular programs reported in previous ALS subtype frameworks while resolving them into finer motor-cortex-specific states. Rather than forming isolated molecular classes, these subtypes occupied a structured pathway-space landscape with both discrete subtype-centered peaks and continuous biological gradients. Principal component analysis and representative pathway overlays defined a major axis from an upper inflammatory/damage region to a lower neuronal/metabolic/remodeling region, with C7 forming a neuronal/synaptic connector within the lower landscape. Co-expression network analysis further supported this multiscale organization, revealing family-level network backbones, subtype-specific modular refinements, and bridge-like rewiring. Metadata-informed analyses showed that this molecular architecture was not primarily organized by disease duration. Instead, the landscape was more clearly associated with clinical and genetic-background variables, including ALS/FTD family history and mutation-related signals. In particular, family-history-positive and C9orf72 repeat expansion-positive samples were more represented in the lower neuronal/metabolic/remodeling region, whereas family-history-negative samples and C9orf72-negative cases were more represented in the upper inflammatory/damage region. These findings support a model in which ALS motor cortex heterogeneity is organized as a multiscale transcriptomic architecture more closely associated with genetic-background variables than with disease duration. This framework provides a basis for subtype-aware biological comparison, future patient-stratification, biomarker, or therapeutic target-prioritization studies.

bioinformatics↗

bioRxiv2026

Scalable methylome-transcriptome profiling resolves clonal organization in human hematopoiesis

Understanding human tissue maintenance and remodeling requires linking clonal ancestry to molecular state, yet scalable joint measurement remains challenging. Here, we introduce Droplet-MT and an integrated computational workflow for joint transcriptome and methylome profiling at ~10,000 cells per library. Methylation epimutations enable mutation-independent clonal reconstruction from high-coverage methylomes, while reference-based label transfer assigns cells to established clones at ~0.2% CpG coverage, reducing sequencing cost. Clone-aggregated somatic variants provide genetic annotation without additional single-cell genotyping. Across ~21,000 paired profiles from healthy blood and longitudinal acute myeloid leukemia, we resolved small and expanded clones with heterogeneous lineage output. In leukemia, the framework distinguished changes in malignant clonal abundance, state remodeling within persistent clones, and recovery of healthy polyclonal hematopoiesis. Malignant monocytes remained transcriptionally and epigenetically distinct from healthy and recovery-associated cells despite treatment-associated remodeling. Droplet-MT enables scalable analysis of human tissues by linking clonal organization with molecular state and retrospective genetic annotation.

genomics↗

bioRxiv2026

e^-2 Threshold for Bistability in Non-equilibrium Sorting of Biomolecular Condensates

Cells use ATP-driven chaperones to extract clients from biomolecular condensates selectively, yet no closed-form criterion links molecular parameters to condensate quality control. We derive a minimal non-equilibrium sorting reactor model that reduces the reaction-diffusion dynamics to one algebraic equation. In the idealized low-load limit, a concentration-dependent partition coefficient produces a saddle-node bifurcation between functional clearance and pathological storage. The critical Damk\"ohler number is \(\mathrm{Da}_{0c}=e^{-2}\) and is independent of the feedback strength. Corrections shift the value but preserve the topology. The model predicts a Kramers-type functional lifetime and recovery costs that scale as \(R^3\). Critical slowing down near the bifurcation provides early-warning signatures for FCS and FRAP.

biophysics↗

bioRxiv2026

SpaCoEx: Sparse Gene Selection for Spatially Varying Co-expression in Spatial Transcriptomics

Spatial transcriptomics enables gene expression to be measured while preserving tissue location, but most existing analyses focus on spatial variation in individual genes or expression-defined domains. Here, we introduce SpaCoEx, a sparse spatial representation framework that integrates gene-expression levels with spatially varying gene-gene co-expression. SpaCoEx first estimates local co-expression matrices from neighboring spatial spots, maps them into a log-Euclidean representation, and performs structured gene selection by retaining or removing the full row and column associated with each gene. The selected genes are then used to construct both expression-level features and local co-expression features, which are combined through an -weighted joint representation for downstream spatial analysis. We applied SpaCoEx to human cutaneous squamous cell carcinoma and annotated human breast cancer spatial transcriptomics datasets. In the cutaneous squamous cell carcinoma dataset, SpaCoEx selected 29 of 45 keratinocyte-related genes while preserving 96.74% of the spatial co-expression variation. In the breast cancer dataset, SpaCoEx identified spatially varying co-expression between B2M and HLA-C, a biologically meaningful major histocompatibility complex (MHC) class I antigen-presentation gene pair. Their local correlation was significantly higher in cancer-associated regions than in non-cancer regions (mean difference = 0.30, spatially adjusted SE = 0.045, P<1.0x10^(-10)), whereas B2M and HLA-C expression individually did not differ significantly between cancer and non-cancer. In benchmarking against manual tissue annotations, co-expression-only SpaCoEx achieved the strongest spatial coherence (percentage of abnormal spots [PAS] = 0.076), while the joint expression/co-expression representation achieved the highest annotation agreement, with an adjusted Rand Index (ARI) of 0.584 at = 0.60 and and normalized mutual information (NMI) of 0.663 at = 0.40. By integrating marginal gene-expression information with local gene-gene co-expression structure, SpaCoEx provides a sparse, low-dimensional, and interpretable representation of spatial transcriptomics data that captures complementary aspects of tissue organization beyond expression-based variation alone.

bioinformatics↗

bioRxiv2026

Hepatitis C Virus Remodels Lipid Droplets to Promote Mitochondrial Fatty Acid Accumulation and Metabolic Activation

Hepatitis C virus (HCV) depends on host lipid metabolism and lipid droplets (LDs) for genome replication, assembly, and particle production, yet how LD structure and lipid utilization change over the course of infection remains incompletely understood. Here, we investigated the temporal remodeling of LD-associated metabolic pathways during HCV JFH-1 infection of human hepatoma Huh7 cells. HCV infection transiently increased LD fluorescence intensity at 24 hours post-infection (hpi), followed by normalization or relative loss of LD signal at later time points. Concomitantly, LDs became progressively clustered and enlargement during late infection, despite reduced protein levels of the canonical LD fusion proteins CIDEA, CIDEB, and CIDEC, suggesting that HCV-induced LD enlargement occurs through CIDE-independent mechanisms. Transcriptomic, RT-qPCR, and immunoblot analyses revealed time-dependent regulation of genes and proteins involved in LD structure, triglyceride synthesis, lipolysis, lipid uptake, and mitochondrial fatty acid utilization. Subcellular fractionation demonstrated preferential accumulation of fatty acids in mitochondrial fractions at 24-72 hpi. This redistribution was accompanied by increased oxygen consumption rate, elevated extracellular acidification, and progressive reactive oxygen species accumulation, indicating infection-associated metabolic activation and oxidative stress. Pharmacological inhibition of DGAT1-dependent LD biogenesis, LIPA-dependent lysosomal lipid hydrolysis, LIPE/HSL-dependent lipolysis, or CPT1-dependent mitochondrial fatty acid transport markedly reduced mitochondrial fatty acid accumulation and suppressed HCV-induced respiratory activity. Inhibition of LIPA or LIPE/HSL reduced both HCV RNA and core protein levels, whereas inhibition of CPT1 or DGAT1 had more pronounced effects on core protein than on viral RNA. Together, these findings support a model in which HCV dynamically remodels LDs, mobilizes LD-associated fatty acids, and redirects them toward mitochondria to support infection-associated metabolism and downstream stages of the viral life cycle. Lipid hydrolysis and mitochondrial fatty acid trafficking therefore represent potential host-directed targets for limiting HCV infection. SIGNIFIGANCEHepatitis C virus depends on host lipid metabolism for replication, assembly, and production of infectious particles, but how it uses lipid droplets over time remains incompletely understood. This study shows that hepatitis C virus dynamically remodels lipid droplets, causing an early increase in lipid storage followed by droplet enlargement and mobilization of fatty acids during later infection. The released fatty acids preferentially accumulate in mitochondria, where they are associated with increased cellular respiration and oxidative stress. Blocking lipid droplet formation, lipid breakdown, or fatty acid transport to mitochondria reduced this metabolic response and decreased viral RNA or core protein accumulation. Inhibition of lysosomal acid lipase and hormone-sensitive lipase suppressed both viral RNA and protein levels. These findings identify lipid droplet breakdown and mitochondrial fatty acid trafficking as important host processes used by hepatitis C virus and as potential targets for host-directed antiviral intervention.

microbiology↗

bioRxiv2026

Intratumoral expression of JAML on NK cells is controlled by tumor microenvironment and MHC class I interaction

Junctional adhesion molecule-like (JAML) is an adhesion molecule known to promote T cell activation and T cell-mediated tumor rejection. In the current study, we show that JAML expression is enriched on mouse intratumoral NK cells compared with splenic NK cells. JAML+ NK cells were associated with tissue residency and co-expressed the immune checkpoints PD-1 and LAG3. JAML expression could be induced on splenic NK cells by IL-2 and further enhanced by IL-21. JAML levels were inversely correlated with inhibitory signaling, as NK cells expressing self-recognizing Ly49 receptors had reduced JAML expression, suggesting regulation of JAML expression by MHC class I molecules. Interaction with the JAML ligand CXADR also reduced JAML surface expression, indicating that tumor-mediated membrane stripping may represent a mechanism of immunoediting. Although JAML RNA transcripts were detectable in human NK cells, JAML protein was found only intracellularly. Together, these findings identify the JAML-CXADR interaction as a potential regulatory pathway in NK cell-mediated killing of tumors.

immunology↗

bioRxiv2025

A Unified Protein Embedding Model with Local and Global Structural Sensitivity

Structural comparison between proteins is key to many research tasks, including evolutionary analysis, peptidomimetics, and functional annotation. Traditional structure alignment tools based on three-dimensional protein structures, such as TM-Align, DALI, or ProBiS, are accurate, but they are computationally expensive and impractical at scale. Existing protein language models (PLMs), such as TM-Vec, improve computational efficiency but only capture global structural similarity, overlooking important motif-level structural details. In this paper, we propose a novel PLM consisting of a Siamese neural network, enabling efficient embedding-based structural comparison while also capturing both global and local structural similarity. Our model was trained on a dual loss function combining TM-score, a global similarity metric, and a variation of lDDT scores, a per-residue similarity metric. We tested against two datasets: a varied TM-score dataset from TM-Vec, and a high TM-score mutant dataset from VIPUR. Against these sets, our model achieved a TM-score MAE of 0.0741 and 0.0583, respectively, and a lDDT-score MAE of 0.0788 and 0.0038, respectively. Our model fulfills two key roles: first, it rapidly detects global structural differences. Second, it supports fine-grained structural assessments, improving sensitivity to subtle but functionally important structural changes.

bioinformatics↗

bioRxiv2025

Systematic discovery of single-cell protein networks in cancer with Shusi

Context-specific protein-protein interaction (PPI) drive heterogeneity of primary tumor, forming a formidable challenge to effective cancer therapy. However, systematically mapping and modeling these interactions at single-cell resolution across diverse cancer types remains an unmet need. Here, we present Shusi, a large language model-enhanced variational graph auto-encoder model trained on over single cells across 23 cancer types, to predict context-specific PPIs. Shusi outperforms existing state-of-the-art methods, as validated through orthogonal experimental evidence. Cancer-specific mutations are significantly enriched in Shusi-predicted networks, offering complementary insights to conventional marker gene-based approaches. Through systematic evaluations, we demonstrate strong associations between Shusi-predicted network topologies, genetic vulnerabilities, and therapeutic sensitivity. Finally, in acute myeloid leukemia (AML), a blood cancer where cell-state heterogeneity drives clinical resistance, Shusi pinpointed potential targets as actionable vulnerabilities of resistant leukemia subpopulations, as validated experimentally in primary AML. Shusi offers a deep-learning tool for implementing precision medicine based on context-specific protein network architecture.

bioinformatics↗

bioRxiv2024

Airway applied IVT mRNA vaccine needs specific sequence design and high standard purification that removes devastating dsRNA contaminant

The development of next-generation mucosal mRNA vaccines is promising but extremely challenging. Major efforts have been focused on optimizing delivery systems, whereas it is still unknown whether the intrinsic quality of IVT mRNA significantly impacts the potency of airway inoculated mRNA vaccines. Here, we systematically demonstrate the mucosal mRNA vaccine requires a higher standard of purification and tailor-designed sequence to fulfil its potency compared to the parenteral route inoculated counterpart. We found double strand RNA (dsRNA) contaminants are prone to trigger innate immunoreaction in the airway that activates the mRNA degradation mechanism, thereby diminishing the mRNA expression and subsequent antigen-specific immune responses. To address these challenges, we developed a strategy that combines optimized untranslated regions (UTRs) screened from endogenous genes of pulmonary cells with affinity chromatography-based purification which removes almost all the dsRNA contaminants. The optimized mRNA administered via the airway route not only demonstrates superior protein expression (30-fold increase) and reduces inflammation in the lung, but also promotes robust immunity comprising significantly elevated systemic, cellular, and mucosal immune responses, which is in stark contrast to intramuscular injected counterpart that displays less pronounced benefits. Our findings offer new insight into the development of mucosal mRNA therapeutics from an overlooked but crucial perspective of optimizing mRNA components.

synthetic biology↗

bioRxiv2023

Targeting Acute Myeloid Leukemia Stem Cells Through Perturbation of Mitochondrial Calcium

We previously reported that acute myeloid leukemia stem cells (LSCs) are uniquely reliant on oxidative phosphorylation (OXPHOS) for survival. Moreover, maintenance of OXPHOS is dependent on BCL2, creating a therapeutic opportunity to target LSCs using the BCL2 inhibitor drug venetoclax. While venetoclax-based regimens have indeed shown promising clinical activity, the emergence of drug resistance is prevalent. Thus, in the present study, we investigated how mitochondrial properties may influence mechanisms that dictate venetoclax responsiveness. Our data show that utilization of mitochondrial calcium is fundamentally different between drug responsive and non-responsive LSCs. By comparison, venetoclax-resistant LSCs demonstrate a more active metabolic (i.e., OXPHOS) status with relatively high steady-state levels of calcium. Consequently, we tested genetic and pharmacological approaches to target the mitochondrial calcium uniporter, MCU. We demonstrate that inhibition of calcium uptake sharply reduces OXPHOS and leads to eradication of venetoclax-resistant LSCs. These findings demonstrate a central role for calcium signaling in the biology of LSCs and provide a therapeutic avenue for clinical management of venetoclax resistance. SignificanceWe identify increased utilization of mitochondrial calcium as distinct metabolic requirement of venetoclax-resistant LSCs and demonstrate the potential of targeting mitochondrial calcium uptake as a therapeutic strategy.

cancer biology↗

bioRxiv2023

BacScan: An Unbiased and Genome-Wide Approach to Identify Bacterial Highly Immunogenic Proteins

Bacterial pathogens are the second leading cause of death worldwide. However, the development of bacterial vaccines has been challenged by the presence of multiple serotypes and the lack of cross-protection between serotypes. Therefore, there is an urgent need to identify protective antigens conserved across serotypes in order to develop a broadly protective vaccine. Here, we have developed an unbiased and genome-wide technique, BacScan, which uses bacterial-specific serum to rapidly identify highly conserved immunogenic proteins by combining phage display, immunoprecipitation, and next-generation sequencing. As a proof of concept, we identified 19 highly immunogenic proteins from Streptococcus suis core proteins. Immunoreactivity analysis of mouse, pig, and human sera indicated that 2 proteins could be the potential targets for the development of serological diagnostics. Eight proteins provided 20%-100% protection against S. suis challenge in immunized animals, indicating the potential vaccine targets. BacScan can be applied to any bacterial pathogen and has the potential to accelerate the development of a broadly protective bacterial vaccine. TeaserA novel method to identify the highly conserved immunogenic bacterial proteins as targets for the development a broadly protective bacterial vaccine.

microbiology↗

bioRxiv2022

A novel type of monocytic leukemia stem cell revealed by the clinical use of venetoclax-based therapy

The BCL-2 inhibitor venetoclax has recently emerged as an important component of acute myeloid leukemia (AML) therapy. Notably, use of this agent has revealed a previously unrecognized form of pathogenesis characterized by monocytic disease progression. We demonstrate that this form of disease arises from a fundamentally different type of leukemia stem cell (LSC), which we designate as monocytic LSC (m-LSC), that is developmentally and clinically distinct from the more well-described primitive LSC (p-LSC). The m-LSC is distinguished by a unique immunophenotype (CD34-, CD4+, CD11b-, CD14-, CD36-), unique transcriptional state, reliance on purine/pyrimidine metabolism, and selective sensitivity to cladribine. Critically, in some instances m-LSC and p-LSC subtypes can co-reside in the same AML patient and simultaneously contribute to overall tumor complexity. Thus, our findings demonstrate that LSC heterogeneity has direct clinical significance and highlights the need to distinguish and target m-LSCs as a means to improve clinical outcomes with venetoclax-based regimens. Statement of SignificanceThese studies identify and characterize a new type of human acute myeloid leukemia stem cell (LSC) that is responsible for monocytic disease progression in acute myeloid leukemia (AML) patients treated with venetoclax-based regimens. Our studies describe the phenotype, molecular properties, and drug sensitivities of this unique LSC subclass.

cancer biology↗

bioRxiv2022

Excited-state dynamics of the all-trans protonated retinal Schiff base in CRABPII-based rhodopsin mimics

The rhodopsin mimic is a chemically synthetized complex with the retinyl Schiff base (RSB) formed between protein and the retinal chromophore, which can mimic the natural rhodopsin-like protein. The artificial rhodopsin mimic is more stable and designable than the natural protein and hence has wider uses in photon detection devices. The mimic structure RSB, like the case in the actual rhodopsin-like protein, undergoes isomerization and protonation throughout the photoreaction process. As a result, understanding the dynamics of the RSB in the photoreaction process is critical. In this study, the transient absorption spectra (TAS) of three mutants of the cellular retinoic acid-binding protein II (CRABPII)-based rhodopsin mimic at PH = 3 were recorded, from which the related excited-state dynamics of the all-trans protonated RSB (AT-PRSB) were investigated. The transient fluorescence spectra (TFS) measurements are used to validate some of the dynamic features. We find that the excited-state dynamics of AT-PRSB in three mutants share a similar pattern that differs significantly from the dynamics of 15-cis PRSB (15C-PRSB) of the rhodopsin mimic in neutral solution. By comparing the dynamics across the three mutants, we discovered that the aromatic residues near the {beta}-ionone ring structure of the retinal may help stabilize the AT-PRSB and hence slow down its isomerization rate. Furthermore, from the three mutants, we find one protein with near-infrared fluorescence emission up to 688 nm, leading to further possible applications in sensing or bioimaging.

biochemistry↗

bioRxiv2022

Three amphioxus reference genomes reveal gene and chromosome evolution of chordates

The slow-evolving invertebrate amphioxus has an irreplaceable role in advancing our understanding into the vertebrate origin and innovations. Here we resolve the nearly complete chromosomal genomes of three amphioxus species, one of which best recapitulates the 17 chordate ancestor linkage groups. We reconstruct the fusions, retention or rearrangements between descendants of whole genome duplications (WGDs), which gave rise to the extant microchromosomes likely existed in the vertebrate ancestor. Similar to vertebrates, the amphioxus genome gradually establishes its 3D chromatin architecture at the onset of zygotic activation, and forms two topologically associated domains at the Hox gene cluster. We find that all three amphioxus species have ZW sex chromosomes with little sequence differentiation, and their putative sex-determining regions are nonhomologous to each other. Our results illuminate the unappreciated interspecific diversity and developmental dynamics of amphioxus genomes, and provide high-quality references for understanding the mechanisms of chordate functional genome evolution.

evolutionary biology↗

bioRxiv2020

Threshold concentration and random collision determine the growth of the phase-separated huntingtin inclusion from a stable core

The processes underlying formation and growth of unfolded protein inclusions are relevant to neurodegenerative diseases. In S. cerevisiae, inclusion bodies formed by mutant huntingtin have characteristics of phase-separated compartments: they are mobile, ovoid, and the contents are diffusible. We have used molecular genetics and quantitative confocal microscopy to probe the relationship between concentration and inclusion growth in vivo. Our analysis and modeling of the growth of mutant huntingtin inclusion bodies (mHtt IBs) suggests that there is a cytoplasmic threshold concentration that triggers the formation of an IB, regardless of proteasome capacity, and that reduction in cytoplasmic mHtt causes IBs to shrink. These findings confirm that the IB is a phase-separated compartment that continuously exchanges material with the cytoplasm. The growth rate of the IB is most consistent with a model in which material is incorporated through collision with the IB. A small remnant of the IB is relatively long-lasting, suggesting that the IB contains a core that is structurally distinct, and which may serve to nucleate it.

cell biology↗

bioRxiv2020

Irradiance modulates thermal niche in a previously undescribed low-light and cold-adapted nano-diatom

Diatoms have well-recognized roles in fixing and exporting carbon and supplying energy to marine ecosystems, but only recently have we begun to explore the diversity and importance of nano- and pico-diatoms. Here we describe a small (~5 m) diatom from the genus Chaetoceros Isolated from a wintertime temperate estuary (2{degrees} C, Narragansett Bay, RI), with a unique obligate specialization for low-light environments (< 120 mol photons m-2 sec-1). This diatom exhibits a striking interaction between irradiance and thermal responses whereby as temperatures increase, so does its susceptibility to light stress. Historical 18S rRNA amplicon data from our study site show this isolate was abundant throughout a six-year period, and its presence strongly correlates with winter and early spring months when light and temperature are low. Two ASVs matching this isolate had a circumpolar distribution in Tara Polar Ocean Circle samples, indicating its unusual light and temperature requirements are adaptations to life in a cold, dark environment. We expect this isolates low light, psychrophilic niche to shrink as future warming-induced stratification increases both light and temperature levels experienced by high latitude marine phytoplankton.

microbiology↗

bioRxiv2020

The unconventional cytoplasmic sensing mechanism for ethanol chemotaxis in Bacillus subtilis

Motile bacteria sense chemical gradients using chemoreceptors, which consist of distinct sensing and signaling domains. The general model is that the sensing domain binds the chemical and the signaling domain induces the tactic response. Here, we investigated the unconventional sensing mechanism for ethanol taxis in Bacillus subtilis. Ethanol and other short-chain alcohols are attractants for B. subtilis. Two chemoreceptors, McpB and HemAT, sense these alcohols. In the case of McpB, the signaling domain directly binds ethanol. We were further able to identify a single amino-acid residue Ala431 on the cytoplasmic signaling domain of McpB, that when mutated to a serine, reduces taxis to ethanol. Molecular dynamics simulations suggest ethanol binds McpB near residue Ala431 and mutation of this residue to serine increases coiled-coil packing within the signaling domain, thereby reducing the ability of ethanol to bind between the helices of the signaling domain. In the case of HemAT, the myoglobin-like sensing domain binds ethanol, likely between the helices encapsulating the heme group. Aside from being sensed by an unconventional mechanism, ethanol also differs from many other chemoattractants because it is not metabolized by B. subtilis and is toxic. We propose that B. subtilis uses ethanol and other short-chain alcohols to locate prey, namely alcohol-producing microorganisms. ImportanceEthanol is a chemoattractant for Bacillus subtilis even though it is not metabolized and inhibits growth. B. subtilis likely uses ethanol to find ethanol-fermenting microorganisms for prey. Two chemoreceptors sense ethanol: HemAT and McpB. HemATs myoglobin-like sensing domain directly binds ethanol, but the heme group is not involved. McpB is a transmembrane receptor consisting of an extracellular sensing domain and a cytoplasmic signaling domain. While most attractants bind the extracellular sensing domain, we found that ethanol directly binds between inter-monomer helices of the cytoplasmic signaling domain of McpB, using a mechanism akin to those identified in many mammalian ethanol-binding proteins. Our results indicate that the sensory repertoire of chemoreceptors extends beyond the sensing domain and can directly involve the signaling domain.

microbiology↗