Biology subjects

Klein, B.

Publications and source records attributed to Klein, B..

14 recordsLinked to original sources

bioRxiv2026

Natural Killer Cell Granule Protein (NKG7) promotes the development of vaccine-induced anti-fungal Th1 cells

CD4+ T cells that produce IFN-{gamma} (T helper 1 [Th1] cells) chiefly mediate vaccine acquired resistance to fungal infections. However, the key regulators of the development of Th1 cells and acquired resistance to fungi are incompletely understood. Here, we report that Natural Killer Cell Granule Protein (NKG7) acts as an unappreciated regulator inducing anti-fungal Th1 cells to produce IFN-{gamma} and converting plastic Th17 cells into polyfunctional memory Th1 cells. Author summaryThe mechanisms of vaccine resistance to fungi are incompletely understood. We identified a regulator that promotes the development of proinflammatory immune lymphocytes and fosters the conversion of one population of lymphocytes into multi-functional cells that produce several proinflammatory soluble factors that efficiently combat infectious diseases.

immunology↗

bioRxiv2025

A haplotype-resolved, chromosome-scale genome assembly and annotation for Carya glabra (pignut hickory; Juglandaceae)

Carya glabra (2n = 4x = 64), also known as pignut hickory, is a widely distributed species in the walnut family (Juglandaceae). Native to the central and eastern United States and southeastern Canada, C. glabra plays an important ecological role as a common upland forest species; it is closely related to several economically valuable nut trees, including C. illinoinensis (pecan). A deeper understanding of the genetics of C. glabra is essential for studying its evolutionary history and biology, with potential implications for agricultural improvement of pecan. Here, we present the first nuclear genome assembly and annotation of C. glabra. The assembly is chromosome-level and phased, representing the first assembled polyploid genome in the genus Carya. A total of 64 pseudochromosomes were assembled and phased into four haplotypes. The haplotype A assembly spans 600.4 Mb, comprises 55.0% repetitive sequences, and contains 30,947 protein-coding genes, with a BUSCO completeness score of 97.7%. Functional annotation assigned 94.3% of haplotype A genes to gene families, and 79.7% and 86.3% of genes were annotated with Gene Ontology terms and protein domains, respectively; 635 putative plant disease resistance genes were found in haplotype A. The other three haplotypes exhibited similarly high-quality annotation metrics. Our genomic analyses also suggest that C. glabra is an autotetraploid. Comparative genomic analyses revealed high collinearity among the four haplotypes of C. glabra and the published genomes of three other Carya species, although structural variation among the genomes of these species was identified. In addition, we provide an improved chloroplast genome assembly and the first mitochondrial genome for C. glabra. Importantly, most members of the research team are undergraduate students; the sequenced individual is located in McCarty Woods, a Conservation Area on the University of Florida campus. This work highlights the value of genome assembly efforts as powerful tools for teaching genomics and supporting conservation initiatives. This first high-quality reference genome for C. glabra provides a valuable resource for studying Carya, a genus of significant ecological and economic importance. Article summaryCarya glabra (pignut hickory) is a common upland forest species in North America. This species is a member of the walnut family (Juglandaceae), which includes many economically important nut trees. Here, we present the first nuclear genome assembly and annotation of C. glabra. The assembly is chromosome-level and phased. The haplotype A assembly contains 30,947 protein-coding genes, with a BUSCO completeness score of 97.7%. Our genomic analyses suggest that C. glabra is an autopolyploid. We also provide chloroplast and mitochondrial genome assemblies. This nuclear genome provides a valuable resource for studying Carya, a genus of significant ecological and economic importance.

genomics↗

bioRxiv2025

ADAR RNA editing for cardiovascular disease: Targeting B4GALT1 to modulate lipid metabolism through reduced galactosyltransferase activity

Cardiovascular disease remains a leading cause of mortality despite current therapies targeting low-density lipoprotein cholesterol (LDL-C). Beta-1,4-galactosyltransferase 1 (B4GALT1), a central glycosyltransferase enzyme that regulates lipoprotein metabolism and hemostasis, is a promising therapeutic target. To evaluate its therapeutic potential as a protective variant, B4galt1 p.Asn352Ser was introduced into the ribonucleic acid (RNA) of healthy wild-type and APOE*3-Leiden.CETP transgenic mice, a well-established model for hyperlipidemia with a humanized lipoprotein metabolism, using editing oligonucleotides and the endogenous adenosine deaminases acting on RNA enzymes. The impact on hepatic glycosylation and systemic lipid homeostasis was investigated using multi-omics profiling. Editing of B4galt1 messenger RNA ([~]9-18%) resulted in substantial reductions in total cholesterol (-61%), apolipoprotein B (-72%), LDL-C (-30%), fibrinogen (-55%) (all p < 0.05), and triglycerides (-28%; p > 0.05), without altering B4galt1 expression. Proteomics of plasma and liver identified early suppression of lipogenesis and lipoprotein assembly, followed by sustained suppression of cholesterol biosynthesis and coagulation pathways. Glycomic analysis revealed remodeling of circulating glycoprotein architecture, consistent with altered B4GALT1 activity. Transcript-protein concordance was strongest in lipid pathways, while glycosylation and coagulation showed domain-specific regulatory patterns. These findings support targeting B4GALT1 using RNA editing to reduce cardiometabolic risk.

genetics↗

bioRxiv2025

Cross-disease comparison of dermatomyositis and lupus skin identifies inflammatory monocytes and JAK-1 signaling as drivers of vasculopathy in dermatomyositis

Dermatomyositis (DM) is a rare yet devastating autoimmune disease characterized by inflammatory and vasculopathic changes in skin and muscle. DM and systemic lupus erythematosus (lupus) skin lesions have overlapping clinical and histopathological features, yet disparate responses to available therapeutics. DM skin disease is often relapsing and recalcitrant. To investigate DM immunopathogenesis, non-lesional skin, lesional skin, and circulating immune cells from DM patients were analyzed using single-cell RNA-sequencing. Samples were analyzed in parallel with lesional and non-lesional lupus skin, healthy control skin, and peripheral blood. We demonstrate a pervasive type I interferon (IFN) signature in DM stroma that persists in culture and is distinguished from lupus by upregulation of VEGF and IL-18 signaling in DM keratinocytes. Furthermore, endothelial cells (ECs) in lesional DM exhibit decreased proliferation that was not observed in lupus. Using cell communication networks, we identified a population of DM-specific monocytes interacting with non-proliferating DM ECs. Co-culture of monocytes from DM patients with ECs resulted in increased EC apoptosis inhibited by JAK1 blockade. JAK1 inhibition also resulted in reversal of DM-stromal and inflammatory signatures. Together, our data provide a comprehensive cross-disease characterization of lesional and non-lesional skin of DM compared to lupus and implicate monocyte-mediated EC dysfunction in DM vasculopathy and support JAK inhibition for refractory skin disease.

immunology↗

bioRxiv2025

TWEAK Signaling Drives the Transition from Psoriasis to Atopic Dermatitis-like Inflammation in Paradoxical Skin Reactions

Targeted biologics have significantly advanced the treatment of inflammatory skin diseases such as psoriasis; however, some patients paradoxically develop eczematous skin reactions during or after anti-TNF, IL-17, or IL-23 therapy. Although these paradoxical reactions resemble atopic dermatitis clinically and histologically, the molecular mechanisms that drive their development are not fully understood. Here, we generated high-resolution cellular and spatial maps of healthy skin, psoriasis, atopic dermatitis, and paradoxical reactions using single-cell RNA sequencing, spatial transcriptomics, immunohistochemistry, and in vitro assays. In paradoxical reactions, we identified a distinct transcriptional landscape characterized by myeloid and T-cell expansion and an altered keratinocyte phenotype shaped by TWEAK signaling. Mechanistically, we showed that TWEAK synergizes with IL-13 to drive the Th2/type I interferon-polarized epithelial program. Notably, anti-TNF therapy induced TWEAK gene expression in myeloid cells, suggesting a compensatory inflammatory circuit. Together, these findings identify the TWEAK-IL-13 axis as a central driver of paradoxical skin reactions and provide a mechanistic framework for how cytokine blockade may rewire cutaneous immune responses. One Sentence Summary The TWEAK-IL-13 signaling axis is a key driver of immune reprogramming underlying paradoxical skin reactions.

immunology↗

bioRxiv2025

A Transcriptomic Atlas of Healthy Human Skin Links Regional Identity to Inflammatory Disease.

Human skin is not a uniform organ but a mosaic of anatomically distinct niches, with each site finely tuned to unique environmental demands and immune pressures. Yet, the molecular determinants that define these regional identities and their relationship to site-specific vulnerability to inflammatory disease remain poorly understood. Here, we generate a high-resolution single-cell atlas of human skin, profiling 274,834 cells from 96 healthy samples across 7 anatomically distinct sites (acral, arm, axilla, back, face, leg and scalp). Our analysis reveals striking region-specific transcriptional and cellular networks, uncovering how local immune-stromal crosstalk governs tissue homeostasis and underpins anatomical susceptibility to distinct inflammatory diseases such as such as systemic lupus erythematosus (SLE), atopic dermatitis (AD), and psoriasis. These findings illuminate the tissue-intrinsic foundations of regional immune identity and provide a blueprint/resource for the development of precision therapies tailored to the distinct immunological microenvironments of specific anatomical skin sites.

systems biology↗

bioRxiv2024

Epidermal ZBP1 stabilizes mitochondrial Z-DNA to drive UV-induced IFN signaling in autoimmune photosensitivity

Photosensitivity is observed in numerous autoimmune diseases and drives poor quality of life and disease flares. Elevated epidermal type I interferon (IFN) production primes for photosensitivity and enhanced inflammation, but the substrates that sustain and amplify this cycle remain undefined. Here, we show that IFN-induced Z-DNA binding protein 1 (ZBP1) stabilizes ultraviolet (UV)B-induced cytosolic Z-DNA derived from oxidized mitochondrial DNA. ZBP1 is significantly upregulated in the epidermis of adult and pediatric patients with autoimmune photosensitivity. Strikingly, lupus keratinocytes accumulate extensive cytosolic Z-DNA after UVB, and transfection of keratinocytes with Z-DNA results in stronger IFN production through cGAS-STING activation compared to B-DNA. ZBP1 knockdown abrogates UV-induced IFN responses, whereas overexpression results in a lupus-like phenotype with spontaneous Z-DNA accumulation and IFN production. Our results highlight Z-DNA and ZBP1 as critical mediators for UVB-induced inflammation and uncover how type I IFNs prime for cutaneous inflammation in photosensitivity. One Sentence Summary: ZBP1 and mitochondrial Z-DNA drive autoimmune photosensitivity via cGAS-STING activation.

immunology↗

bioRxiv2024

Type I interferon governs immunometabolic checkpoints that coordinate inflammation during Staphylococcal infection

Fine-tuned inflammation during infection enables pathogen clearance while minimizing host damage. Inflammation regulation depends on macrophage metabolic plasticity, yet coordination of metabolic and inflammatory programs is underappreciated. Here we show that type I interferon (IFN) temporally guides metabolic control of inflammation during methicillin-resistant Staphylococcus aureus (MRSA) infection. In macrophages, staggered Toll-like receptor and type I IFN signaling permitted a transient respiratory burst followed by inducible nitric oxide synthase (iNOS)-mediated OXPHOS disruption. OXPHOS disruption promoted type I IFN, suppressing other pro-inflammatory cytokines, notably IL-{beta}. iNOS expression peaked at 24h post-infection, followed by lactate-driven iNOS repression via histone lactylation. In contrast, type I IFN pre-conditioning sustained infection-induced iNOS expression and amplified type I IFN. Cutaneous MRSA infection in mice constitutively expressing epidermal type I IFN led to elevated iNOS levels, impaired wound healing, vasculopathy, and lung infection. Thus, kinetically regulated type I IFN signaling coordinates immunometabolic checkpoints that control infection-induced inflammation. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=101 SRC="FIGDIR/small/575104v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@977b1eorg.highwire.dtl.DTLVardef@1142c6corg.highwire.dtl.DTLVardef@170776borg.highwire.dtl.DTLVardef@b02c2f_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2021

Association between Cognitive Function and Large Optic Nerve Cupping, Accounting for Cup-Disc-Ratio Genetic Risk Score

PurposeTo investigate if accounting for a cup-to-disc ratio (CDR) genetic risk score (GRS) modified the association between large CDR and cognitive function among women. DesignThis was a retrospective study using data from the Womens Health Initiative. MethodsPatients with glaucoma or ocular hypertension were excluded. Large CDR was defined as [≥] 0.6 in either eye. Cognitive function was measured by the Modified Mini-Mental State Examination (3MSE). We used the combined effects from 13 single nucleotide polymorphisms (SNPs) to formulate the GRS for CDR. We used logistic regression to investigate associations between weighted GRS and large CDR, then a linear regression to assess the association between weighted GRS and 3MSE scores, and between weighted GRS, CDR, and 3MSE scores, adjusted for demographic and clinical characteristics. ResultsFinal analyses included 1,196 White women with mean age of 69.60 {+/-} 3.62 years and 7.27% with large CDR. Mean GRS in women with and without large CDR was 1.51 {+/-} 0.31 vs. 1.41 {+/-} 0.36, respectively (p = 0.004). The odds of large CDR for a one unit increase in GRS was 2.30 (95% CI: (1.22, 4.36), p = 0.011). Adding the CDR GRS in the model with CDR and 3MSE, women with large CDR still had statistically significantly lower 3MSE scores than those without large CDR, yielding a predicted mean difference in 3MSE scores of 0.84 (p = 0.007). ConclusionsIndependent of the CDR GRS, women with large CDR had a lower cognitive function.

genetics↗

bioRxiv2021

Allergy-induced systemic inflammation impairs tendon quality

Treatment of tendinopathies still present a major challenge, since the aetiology of the disease remains poorly understood. To determine whether the systemic inflammation accompanying predisposing factors including rheumatoid arthritis, diabetes or smoking contributes to the onset of tendinopathy, we studied the effect of a systemic inflammation induced by an allergic episode on tendon properties. To this end, we elicited an allergic response in mice by exposing them to a plant allergen and subsequently analysed both their flexor and Achilles tendons. Biomechanical testing and histological analysis revealed that tendons from allergic mice not only showed a significant reduction of both elastic modulus and tensile stress, but also alterations of the tendon matrix. Moreover, 3D tendon-like constructs treated with sera from allergic mice displayed a matrix-remodelling expression profile and the expression of macrophage-associated markers and matrix metalloproteinase 2 (MMP2) was increased in allergic Achilles tendons. Analysing data from an epidemiologic study comprising data from more than 10.000 persons, we found that persons suffering from an allergic condition appeared to have an increased propensity to develop a tendinopathy. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/450910v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@1263836org.highwire.dtl.DTLVardef@349621org.highwire.dtl.DTLVardef@6c9142org.highwire.dtl.DTLVardef@1b49bdd_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2020

Resilience and evolvability of protein-protein interaction networks

Protein-protein interaction (PPI) networks represent complex intra-cellular protein interactions, and the presence or absence of such interactions can lead to biological changes in an organism. Recent network-based approaches have shown that a phenotypes PPI networks resilience to environmental perturbations is related to its placement in the tree of life; though we still do not know how or why certain intra-cellular factors can bring about this resilience. Here, we explore the influence of gene expression and network properties on PPI networks resilience. We use publicly-available data of PPIs for E. coli, S. cerevisiae, and H. sapiens, where we compute changes in network resilience as new nodes (proteins) are added to the networks under three node addition mechanisms--random, degree-based, and gene-expression-based attachments. By calculating the resilience of the resulting networks, we estimate the effectiveness of these node addition mechanisms. We demonstrate that adding nodes with gene-expression-based preferential attachment (as opposed to random or degree-based) preserves and can increase the original resilience of PPI network in all three species, regardless of gene expression distribution or network structure. These findings introduce a general notion of prospective resilience, which highlights the key role of network structures in understanding the evolvability of phenotypic traits.

systems biology↗

bioRxiv2020

Evolution leads to emergence: An analysis of protein interactomes across the tree of life

The internal workings of biological systems are notoriously difficult to understand. Due to the prevalence of noise and degeneracy in evolved systems, in many cases the workings of everything from gene regulatory networks to protein-protein interactome networks remain black boxes. One consequence of this black-box nature is that it is unclear at which scale to analyze biological systems to best understand their function. We analyzed the protein interactomes of over 1800 species, containing in total 8,782,166 protein-protein interactions, at different scales. We demonstrate the emergence of higher order macroscales in these interactomes and that these biological macroscales are associated with lower noise and degeneracy and therefore lower uncertainty. Moreover, the nodes in the interactomes that make up the macroscale are more resilient compared to nodes that do not participate in the macroscale. These effects are more pronounced in interactomes of Eukaryota, as compared to Prokaryota. This points to plausible evolutionary adaptation for macroscales: biological networks evolve informative macroscales to gain benefits of both being uncertain at lower scales to boost their resilience, and also being certain at higher scales to increase their effectiveness at information transmission. Our work explains some of the difficulty in understanding the workings of biological networks, since they are often most informative at a hidden higher scale, and demonstrates the tools to make these informative higher scales explicit.

systems biology↗

bioRxiv2020

Suppression of canonical TGF-β signaling enables GATA4 to interact with H3K27me3 demethylase JMJD3 to promote cardiomyogenesis

Direct reprogramming of fibroblasts into cardiomyocytes (CMs) represents a promising strategy to regenerate CMs lost after ischemic heart injury. Overexpression of GATA4, HAND2, MEF2C, TBX5, miR-1, and miR-133 (GHMT2m) along with transforming growth factor beta (TGF-{beta}) inhibition efficiently promotes reprogramming. However, the mechanisms by which TGF-{beta} blockade promotes cardiac reprogramming remain unknown. Here, we identify interactions between the histone H3 lysine 27 trimethylation (H3K27me3) - demethylase JMJD3, the SWI/SNF remodeling complex subunit BRG1, and cardiac transcription factors. Furthermore, canonical TGF-{beta} signaling regulates the interaction between GATA4 and JMJD3. TGF-{beta} activation impairs the ability of GATA4 to bind target genes and prevents demethylation of H3K27 at cardiac gene promoters during cardiac reprogramming. Finally, a mutation in GATA4 (V267M) exhibits reduced binding to JMJD3 and impaired cardiomyogenesis. Thus, we have identified an epigenetic mechanism wherein canonical TGF-{beta} pathway activation impairs cardiac gene programming by interfering with GATA4-JMJD3 interactions.

cell biology↗

bioRxiv2017

Sleep and the gut microbiome: antibiotic-induced depletion of the gut microbiota reduces nocturnal sleep in mice

Several bacterial cell wall components such as peptidoglycan and muramyl peptide are potent inducers of mammalian slow-wave sleep when exogenously administered to freely behaving animals. It has been proposed that the native gut microflora may serve as a quasi-endogenous pool of somnogenic bacterial cell wall products given their quantity and close proximity to the intestinal portal. This proposal suggests that deliberate manipulation of the host's intestinal flora may elicit changes in host sleep behavior. To test this possibility, we evaluated 24 h of sleep-wake behavior after depleting the gut microbiota with a 14 d broad-spectrum antibiotic regimen containing high doses of ampicillin, metronidazole, neomycin, and vancomycin. High-throughput sequencing of the bacterial 16S rDNA gene was used to confirm depletion of fecal bacteria and sleep-wake vigilance states were determined using videosomnography techniques based on previously established behavioral criteria shown to highly correlate with standard polysomnography-based methods. Additionally, considering that germ-free and antibiotic-treated mice have been earlier shown to display increased locomotor activity, and since locomotor activity has been used as a reliable proxy of sleep, we suspected that the elevated locomotor activity previously reported in these animals may reflect an unreported reduction in sleep behavior. To examine this potential relationship, we also quantified locomotor activity on a representative subsample of the same 24 h of video recordings using the automated video-tracking software ANY-maze. We found that antibiotic-induced depletion of the gut microbiota reduced nocturnal sleep, but not diurnal sleep. Likewise, antibiotic-treated mice showed increased nocturnal locomotor activity, but not diurnal locomotor activity. Taken together, these results support a link between the gut microbiome and nocturnal sleep and locomotor physiology in adult mice. Additionally, our findings indicate that antibiotics may be insomnogenic via their ability to diminish gut-derived bacterial somnogens. Given that antibiotics are among the most commonly prescribed drugs in human medicine, these findings have important implications for clinical practice with respect to prolonged antibiotic therapy, insomnia, and other idiopathic sleep-wake and circadian-rhythm disorders affecting an estimated 50-70 million people in the United States alone.\n\nHighlights- 14 d broad-spectrum antibiotic treatment effectively depletes the gut microbiota.\n- Gut microbiota depletion reduces nocturnal sleep, but not diurnal sleep.\n- Gut microbiota depletion increases nocturnal locomotion, but not diurnal locomotion.\n- Antibiotics may be insomnogenic: implications for idiopathic sleep disorders.

animal behavior and cognition↗