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Andersen, S.

Publications and source records attributed to Andersen, S..

17 recordsLinked to original sources

Dnmt3a-mutant Leukemia Stem Cells evade chemotherapy through enforced quiescence in Npm1c-Flt3ITD Acute Myeloid Leukemia

Concurrent mutations in DNMT3A, NPM1, and FLT3 define a high-risk subtype of acute myeloid leukemia (AML) associated with increased relapse risk and inferior survival following standard chemotherapy. However, the mechanisms by which DNMT3A mutations promote treatment resistance in NPM1c-FLT3ITD AML remain unclear. Using genetically engineered murine models of Npm1c-Flt3ITD AML with or without Dnmt3aR878H (homologous to human DNMT3AR882H), we demonstrate that Dnmt3aR878H promotes chemotherapy resistance through epigenetic regulation of leukemia stem cell (LSC) quiescence. Integrated transcriptomic and epigenetic profiling revealed coordinated remodeling of DNA methylation and chromatin accessibility in LSC-enriched populations, characterized by preferential hypomethylation and increased accessibility at loci associated with stemness and quiescence programs. These data were confirmed in human DNMT3AR882H-NPM1c-FLT3ITD AML datasets with enrichment of quiescence-associated and stem cell enriched transcriptional programs. Conversely, Dnmt3a-mutant LSCs retained sensitivity to the cell-cycle independent regimen venetoclax plus azacitidine, but residual LSCs exhibited transcriptional plasticity and reversion to a de-differentiated state. We have identified LSC heterogeneity spanning primitive hematopoietic stem cell (HSC)-and progenitor-like states and our data demonstrate preferential maintenance of a quiescent HSC-like LSC subpopulation in Dnmt3aR878H-mutant AML following chemotherapy treatment. Pharmacologic induction of cell-cycle entry using pegylated interferon (pegIFN) disrupted the quiescent LSC state and restored chemotherapy sensitivity, identifying quiescence as a reversible and therapeutically actionable mechanism of resistance. These findings identify DNMT3A-mediated epigenetic regulation of LSC quiescence as a conserved mechanism of standard chemotherapy resistance and position therapeutic reactivation of quiescent LSCs as a promising strategy to overcome chemotherapy resistance and improve outcomes in high-risk DNMT3A-mutant AML.

cancer biology↗

Genetic Modifiers of Cognitive Function: Novel Genetic Associations with Memory, Executive Function, and Attention in the Long Life Family Study

Cognitive performance is central to health and quality of life. Studying the factors that sustain performance may offer insights into maintaining cognitive function into advanced ages and may inform strategies to promote healthy cognitive aging. To identify single nucleotide polymorphisms (SNPs) underlying cognitive function, we performed genome-wide association studies (GWAS) of nine neuropsychological test scores capturing performance in three cognitive domains in 2,455 participants of the Long Life Family Study (LLFS). We identified 12 variants in seven tests and three domains that reached genome-wide significance (p < 5x10-). Three rare (minor allele frequency, European population MAF<0.01) protective, intronic variants, rs190287985 (CCSER1), rs75730801 (FHOD3), and rs552842447 (LINC00508), were uniquely associated with semantic fluency, phonemic fluency and number span forward, respectively. Two rare deleterious variants, rs556333682 and rs188304645, were associated with performance on the Hopkins Verbal Learning Test-Revised (HVLT-R) learning trials and lie in ischemia-related genes SH3TC1 and RPH3A. Another variant, rs180691759, associated with HVLT-R delayed recall, was proximal to RSPO3 and linked to decreased ECHDC1 expression, implicating ischemic and unexplained Ethylmalonic acid (EMA) pathways. We compared the results with GWASs of a general cognitive factor (GCF) and reaction time (RT) in the UK Biobank and meta-analysis results of the UK Biobank, CHARGE and COGENT by Davies et al. We found that rs535509651 associates with HVLT-R delayed recall in the LLFS and nominally associates (p<0.05) with GCF, and that rs10424537 associates with Immediate Logical Memory in the LLFS and nominally associates with RT. Furthermore, we identified 5 genome-wide significant loci in Davies et al. that reached loci adjusted significance in the LLFS (GCF p<0.05/128 and RT p<0.05/39). Each locus was associated with a single cognitive domain in the LLFS. We annotated the genome-wide significant results with quantitative trait loci (QTL) analyses of whole blood transcriptomic, serum metabolomic data, and gene set enrichment analyses (GSEA) using all nominally significant transcripts (p < 0.05/12). QTL analyses discovered 1 SNP-transcript (ECHDC1, p < 3 x 10-6), no SNP-lipid (p < 2 x 10-4), and no SNP-polar metabolite (p < 2 x 10-4) associations. Gene set enrichment analyses identified three pathways at FDR < 0.05. Our findings provide insight into the domain-specific genetic architecture of cognitive function.

genetics↗

IPSC-based modeling of resiliency in centenarians reveals longevity-specific signatures

Centenarians represent a human model of resilience to age-related decline, yet resiliency mechanisms remain elusive. Here, we establish an induced pluripotent stem cell (iPSC)-based platform to interrogate resilience signatures in centenarians. IPSC-derived neurons from centenarians exhibit transcriptional programs promoting synaptic integrity, calcium homeostasis, and cholesterol biosynthesis, while suppressing proteostatic stress pathways. Functionally, these neurons maintain stable calcium dynamics, reduced baseline mitochondrial activity, and energy-efficient homeostasis. Upon challenge, centenarian-derived neurons mount a robust stress response, in contrast to attenuated responses in non-centenarian controls. This resilience signature parallels adaptations in long-lived mammals and aligns with healthy brain aging, while showing erosion in Alzheimers disease and cancer. Our platform provides a scalable human model for dissecting resilience biology offering a framework to extend healthspan and mitigate age-related decline.

molecular biology↗

METABOLOMIC SIGNATURES OF EXTREME OLD AGE: FINDINGS FROM THE NEW ENGLAND CENTENARIAN STUDY

The New England Centenarian Study (NECS) provides a unique resource for the study of extreme human longevity (EL). To gain insight into biological pathways related to EL, chronological age and survival, we used an untargeted serum metabolomic approach (> 1,400 metabolites) in 213 NECS participants, followed by integration of our findings with metabolomic data from four additional studies. Compared to their offspring and matched controls, EL individuals exhibited a distinct metabolic profile characterized by higher levels of primary and secondary bile acids - most notably chenodeoxycholic acid (CDCA) and lithocholic acid (LCA) - higher levels of biliverdin and bilirubin, and stable levels of selected steroids. Notably, elevated levels of both bile acids and steroids were associated with lower mortality. Several metabolites associated with age and survival were inversely associated with metabolite ratios related to NAD+ production and/or levels (tryptophan/kynurenine, cortisone/cortisol), gut bacterial metabolism (ergothioneine/ trimethylamine N-oxide, aspartate/quinolinate), and oxidative stress (methionine/methionine sulfoxide), implicating these pathways in aging and/or longevity. We further developed a metabolomic clock predictive of biological age, with age deviations significantly associated with mortality risk. Key metabolites predictive of biological aging, such as taurine and citrate, were not captured by traditional age analyses, pointing to their potential role as biomarkers for healthy aging. These results highlight metabolic pathways that may be targeted to promote metabolic resilience and healthy aging.

systems biology↗

The impact of sex on the immune system explored at the single-cell level

Sex has a key role in disease susceptibility, in particular autoimmunity. Sex differences of the immune system stems from genes and their interactions with intrinsic and external factors. However, the cellular-level factors influencing sexual dimorphism is not fully understood. We thus examined immune sex differences at single-cell resolution to dissect the genetic impacts. Female-biased sex-differentially expressed genes (DEGs) in multiple immune cells were involved in TNF[a] signalling, whereas male DEGs were enriched for ribosomal-related functions. While cis-eQTLs were less common on sex chromosomes, we identified over 1000 sex-specific eQTLs and 51 sex-interacting eQTLs on autosomes. When we examined the effect of genetic control on sex-DEGs, we found genetic variants affecting the female-biased expression FCGR3A in NK cells (rs2099684) and ITGB2 in Monocytes (rs760462), both of which are associated with systemic lupus erythematosus. Our work reveals novel biases masked in bulk analyses and highlights sexually dimorphic genes and pathways at baseline.

immunology↗

Analyzing the T cell receptor repertoire of 2,804 individuals with inflammatory bowel disease identifies public T cell responses involved in the pathogenesis

Whereas altered immune processes have been identified in individuals with inflammatory bowel disease (IBD), potentially causative antigens remain to be identified. By interrogating the immune repertoire of individuals with IBD, an identification of common antigenic exposures associated with the disease can be obtained. We analyzed the T cell receptor beta (TRB) chain repertoire of 1,890 individuals with Crohns disease (CD) and 914 individuals with ulcerative colitis (UC), enabling the identification of 327 TRB clonotypes associated with CD and 130 with UC. We validated the expansion of these clonotypes in a cohort of treatment-naive individuals with either CD, UC or symptomatic control (n=855). These disease-associated clonotypes were restricted to disease-associated risk HLA alleles and their expansion correlated with disease-severity but not with surgery or treatment trajectory. In conclusion, we identified and validated TRB clonotypes that are associated with either CD or UC, these clonotypes are a novel therapeutic target in IBD.

immunology↗

Whole blood transcriptional signatures of age and survival identified in Long Life Family and Integrative Longevity Omics Studies

Although aging is a universal event, some individuals are able to achieve extreme longevity. The Long-Life Family Study (LLFS) enrolls participants from families enriched with long-lived individuals, serves as a valuable dataset for studying ageing phenotypes and identify potential intervention targets. We analyzed the association between age at blood draw and 16,284 RNAseq-based blood transcriptomic data from 2,167 LLFS participants with ages ranging from 18 to 107, replicated the results in the Integrative Longevity Omics Study (ILO) dataset of 20,884 RNAseq-based blood transcriptomic data from 419 participants, with ages ranging from 60 to 108, and further compared our findings to a published reference aging signature. We identified 4,227 transcripts increasing and 4,044 transcripts decreasing with age, and enrichment analysis revealed age-related upregulation of inflammatory and senescence-related pathways, and downregulation of MYC and Wnt/{beta}-catenin targets, among others. Further, a subset of transcripts showed age associations unique to the longevity-enriched cohorts (LLFS and ILO). We also identified 314 transcripts significantly associated with mortality risk and found that pro-survival gene sets included NK cell-mediated cytotoxicity and GPCR signaling. Finally, increased transcriptomic age predicted using transcriptomic clock was strongly associated with increased mortality. In summary, this study identified robust transcriptomic signatures of aging and mortality in a longevity-enriched population, highlighting key biological pathways such as immune modulation, inflammation, and senescence. Authors notesThis manuscript has been peer-reviewed and accepted by GeroScience (Springer). This bioRxiv article reflects the published version, incorporating revisions made in response to reviewers comments. The main content, results, and conclusions remain unchanged from the previous version, while the Discussion section has been expanded to further address the functional annotation and clinical relevance of the identified markers. Copy of the acceptance letterThe editors are pleased to inform you that your manuscript, JAAA-D-25-01946R1 entitled "Whole blood transcriptional signatures of age and survival identified in Long Life Family and Integrative Longevity Omics Studies" has been accepted for publication in GeroScience as an Original Article. The editors commend you on your outstanding contribution to the journal. Your manuscript can be published online ahead of print within approximately two weeks.

molecular biology↗

Multi-centered T cell repertoire profiling identifies novel alterations in the immune repertoire of individuals with inflammatory bowel disease and validates previous findings

IntroductionIBD is an incurable immune-mediated inflammatory disease (IMID), affecting the gut with a high rate of primary- and secondary-loss-of-response to therapy. By investigating the T cell receptor repertoire of individuals with IBD, novel therapeutic and preventive strategies can be identified, and a better understanding of IBD can be obtained. MethodsWhereas most studies have so far focused on the more diverse T cell receptor beta (TRB) repertoire, we here profiled the alpha (TRA) repertoire of three cohorts containing treatment-naive and treated individuals in addition to individuals living with the disease for >20 years, resulting in an exhaustive dataset containing the TRA repertoire of 2,151 individuals. ResultsUsing the generated datasets, we were able to replicate previous findings describing the expansion of Crohns-associated invariant T (CAIT) cells in individuals with Crohns disease (CD) in the three cohorts. Using a hypothesis-free statistical testing framework, we identified clonotypes that were associated with the disease at its different stages, e.g., at the time of diagnosis and decades post-diagnosis. By conducting a meta-analysis across the three cohorts, we were able to identify a set of clonotypes that were associated with the disease regardless of its stage. We validated our findings in a previously published independent test dataset from a German cohort, showing the robustness of the identified sets of clonotypes. ConclusionThe identified clonotypes are potential novel therapeutic targets to treat IBD, e.g., through targeted depletion. These clonotypes are also of major interest as they can be investigated in a targeted fashion to identify culprit antigen(s) in IBD.

immunology↗

The Chlamydia trachomatis secreted effector protein CT181 binds to Mcl-1 to prolong neutrophil survival

Chlamydia trachomatis (C.t) infections can lead to severe complications due to the pathogens ability to evade the host immune response, often resulting in asymptomatic infections. The mechanisms underlying this immune subversion remain incompletely understood but likely involve specific bacterial effector proteins. Here, we identify CT181 as a novel effector that directly binds to Mcl-1, a key regulator of neutrophil survival. While a C.t. CT181 mutant exhibited only modest defects in epithelial cell replication and inclusion development, it was essential for C.t. survival in neutrophils, correlating with Mcl-1 stabilization. Using a murine infection model, we demonstrate that CT181 is required for C.t. colonization and cytokine production in vivo. Our findings establish CT181 as the first bacterial effector protein known to bind Mcl-1 to enhance neutrophil survival, revealing a critical strategy by which C.t. promotes immune dysregulation, facilitating bacterial persistence while driving C.t. pathogenesis.

microbiology↗

Conservation and Expansion of Transcriptional Factor Repertoire in the Fusarium oxysporum Species Complex

The Fusarium oxysporum species complex (FOSC) includes both plant and human pathogens that cause devastating plant vascular wilt diseases and threaten public health. Each F. oxysporum genome comprises core chromosomes (CCs) for housekeeping functions and accessory chromosomes (ACs) that contribute to host-specific adaptation. This study inspected global transcription factor profiles (TFomes) and their potential roles in coordinating CCs and ACs functions to accomplish host-specific pathogenicity. Remarkably, we found a clear positive correlation between the sizes of TFome and proteome of an organism, and FOSC TFomes are larger due to the acquisition of ACs. Among a total of 48 classified TF families, 14 families involved in transcription/translation regulations and cell cycle controls are highly conserved. Among 30 FOSC expanded families, Zn2-C6 and Znf_C2H2 are most significantly expanded to 671 and 167 genes per family, including well-characterized homologs of Ftf1 (Zn2-C6) and PacC (Znf_C2H2) involved in host-specific interactions. Manual curation of characterized TFs increased the TFome repertoires by 3%, including a disordered protein Ren1. Expression profiles revealed a steady expression of conserved TF families and specific activation of AC TFs. Functional characterization of these TFs could enhance our understanding of transcriptional regulation involved in FOSC cross-kingdom interactions, disentangle species-specific adaptation, and identify targets to combat diverse diseases caused by this group of fungal pathogens.

genomics↗

An integrated cell barcoding and computational analysis pipeline for scalable analysis of differentiation at single-cell resolution

Pluripotent stem cells provide a scalable approach to analyse molecular regulation of cell differentiation across multiple developmental lineage trajectories. In this study, we engineered barcoded iPSCs to generate an atlas of multilineage differentiation from pluripotency, encompassing a time-course of WNT-induced differentiation perturbed using modulators of WNT, BMP, and VEGF signalling. Computational mapping of in vitro cell types to in vivo developmental lineages revealed a diversity of iPSC-derived cell types comprising mesendoderm lineage cell types including lateral plate and paraxial mesoderm, neural crest, and primitive gut. Coupling this atlas of in vitro differentiation with Summary data-based Mendelian Randomisation analysis of human complex traits, we identify the WNT-inhibitor protein TMEM88 as a putative regulator of mesendodermal cell types governing development of diverse cardiovascular and anthropometric traits. Using genetic loss of function models, we show that TMEM88 is required for differentiation of diverse endoderm and mesoderm cell lineages in vitro and that TMEM88 knockout in vivo results in a significant dysregulation of arterial blood pressure. This study provides an atlas of multilineage iPSC differentiation coupled with new molecular, computational, and statistical genetic tools to dissect genetic determinants of mammalian developmental physiology.

genomics↗

HOPX governs a molecular and physiological switch between cardiomyocyte progenitor and maturation gene programs

This study establishes the homeodomain only protein, HOPX, as a determinant controlling the molecular switch between cardiomyocyte progenitor and maturation gene programs. Time-course single-cell gene expression with genome-wide footprinting reveal that HOPX interacts with and controls core cardiac networks by regulating the activity of mutually exclusive developmental gene programs. Upstream hypertrophy and proliferation pathways compete to regulate HOPX transcription. Mitogenic signals override hypertrophic growth signals to suppress HOPX and maintain cardiomyocyte progenitor gene programs. Physiological studies show HOPX directly governs genetic control of cardiomyocyte cell stress responses, electro-mechanical coupling, proliferation, and contractility. We use human genome-wide association studies (GWAS) to show that genetic variation in the HOPX-regulome is significantly associated with complex traits affecting cardiac structure and function. Collectively, this study provides a mechanistic link situating HOPX between competing upstream pathways where HOPX acts as a molecular switch controlling gene regulatory programs underpinning metabolic, signaling, and functional maturation of cardiomyocytes.

developmental biology↗

Rare Genetic Variants Correlate with Better Processing Speed

We conducted a genome-wide association study (GWAS) of Digit Symbol Substitution Test (DSST) scores administered in 4207 family members of the Long Life Family Study (LLFS). Genotype data were imputed to the HRC panel of 64,940 haplotypes resulting in ~15M genetic variants with quality score > 0.7. The results were replicated using genetic data imputed to the 1000 Genomes phase 3 reference panel from two Danish twin cohorts: the study of Middle Aged Danish Twins and the Longitudinal Study of Aging Danish Twins. The GWAS in LLFS discovered 20 rare genetic variants (minor allele frequency (MAF) < 1.0%) that reached genome-wide significance (p-value < 5x10-8). Among these, 18 variants had large protective effects on the processing speed, including rs7623455, rs9821776, rs9821587, rs78704059 on chromosome 3, which were replicated in the combined Danish twin cohort. These SNPs are located in/near two genes, THRB and RARB, that belonged to thyroid hormone receptors family that may influence speed of metabolism and cognitive aging. The gene-level tests in LLFS confirmed that these two genes are associated with processing speed.

genetics↗

Applying Historical Data in a Nonlinear Mixed-Effects Model Can Reduce the Number of Control Rats Required for Calculation of the Relative Potency of Insulin Analogues

This paper examines how to reduce the number of control animals in preclinical hyperinsulemic glucose clamp studies if we make use of information on historical studies. A data set consisting of 59 studies in rats to investigate new insulin analogues for diabetics, collected in the years 2000 to 2015, is analysed. A simulation experiment is performed based on a carefully built nonlinear mixed-effects model including historical information, comparing results (for the relative log-potency) with the standard approach ignoring previous studies. We find that by including historical information in the form of the mixed-effects model proposed, we can to remove between 23% and 51% of the control rats in the two studies looked closely upon to get the same level of precision on the relative log-potency as in the standard analysis. How to incorporate the historical information in the form of the mixed-effects model is discussed, where both a meta approach as well as a Bayesian approach are suggested. The conclusions are similar for the two approaches, and therefore, we conclude that the inclusion of historical information is beneficial in regard to using fewer control rats.

pharmacology and toxicology↗

Spatial analysis of ligand-receptor interactions in skin cancer at genome-wide and single-cell resolution

The ability to study cancer-immune cell communication across the whole tumor section without tissue dissociation is needed for cancer immunotherapies, to understand molecular mechanisms and to discover potential druggable targets. In this work, we developed a powerful experimental and analytical toolbox to enable genome-wide scale discovery and targeted validation of cellular communication. We assessed the utilities of five sequencing and imaging technologies to study cancer tissue, including single-cell RNA sequencing and Spatial Transcriptomic (measuring over >20,000 genes), RNA In Situ Hybridization (multiplex 4-12 genes), digital droplet PCR, and Opal multiplex protein staining (4-9 proteins). To spatially integrate multimodal data, we developed a computational method called STRISH that can automatically scan across the whole tissue section for local expression of gene and/or protein markers to recapitulate an interaction landscape across the whole tissue. We evaluated the unique ability of this toolbox to discover and validate cell-cell interaction in situ through in-depth analysis of two types of cancer, basal cell carcinoma and squamous cell carcinoma, which account for over 70% of cancer cases. We expect that the approach described here will be widely applied to discover and validate ligand receptor interaction in different types of solid cancer tumors.

cancer biology↗

An 1,4-α-glucosyltransferase defines a new maltodextrin catabolism scheme in Lactobacillus acidophilus

The maltooligosaccharide (MOS) utilization locus in Lactobacillus acidophilus NCFM, a model for human small-intestine lactobacilli, encodes a family 13 subfamily 31 glycoside hydrolase (GH13_31), annotated as an 1,6--glucosidase. Here, we reveal that this enzyme (LaGH13_31B) is an 1,4--glucosyltransferase that disproportionates MOS with preference for maltotriose. LaGH13_31B acts in concert with a maltogenic -amylase that efficiently releases maltose from MOS larger than maltotriose. Collectively, these two enzymes promote efficient conversion of preferentially odd-numbered MOS to maltose that is phosphorolysed by a maltose phosphorylase, encoded by the same locus. Structural analyses revealed the presence of a flexible elongated loop, which is unique for LaGH13_31B and its close homologues. The identified loop insertion harbours a conserved aromatic residue that modulates the activity and substrate affinity of the enzyme, thereby offering a functional signature of this previously undescribed clade, which segregates from described activities such as 1,6--glucosidases and sucrose isomerases within GH13_31. Sequence analyses revealed that the LaGH13_31B gene is conserved in the MOS utilization loci of lactobacilli, including acidophilus cluster members that dominate the human small intestine. IMPORTANCEThe degradation of starch in the small intestine generates short linear and branched -glucans. The latter are poorly digestible by humans, rendering them available to the gut microbiota e.g. lactobacilli adapted to the human small intestine and considered as beneficial to health. This study unveils a previously unknown scheme of maltooligosaccharide (MOS) catabolism, via the concerted action of activity together with a classical hydrolase and a phosphorylase. The intriguing involvement of a glucosyltransferase is likely to allow fine-tuning the regulation of MOS catabolism for optimal harnessing of this key metabolic resource in the human small intestine. The study extends the suite of specificities that have been identified in GH13_31 and highlights amino acid signatures underpinning the evolution of 1,4--glucosyl transferases that have been recruited in the MOS catabolism pathway in lactobacilli.

biochemistry↗

ascend: R package for analysis of single cell RNA-seq data

Summaryascend is an R package comprised of fast, streamlined analysis functions optimized to address the statistical challenges of single cell RNA-seq. The package incorporates novel and established methods to provide a flexible framework to perform filtering, quality control, normalization, dimension reduction, clustering, differential expression and a wide-range of plotting. ascend is designed to work with scRNA-seq data generated by any high-throughput platform, and includes functions to convert data objects between software packages.\n\nAvailabilityThe R package and associated vignettes are freely available at https://github.com/IMB-Computational-Genomics-Lab/ascend.\n\nContactjoseph.powell@uq.edu.au\n\nSupplementary informationAn example dataset is available at ArrayExpress, accession number E-MTAB-6108

bioinformatics↗