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Nelson, L.

Publications and source records attributed to Nelson, L..

10 recordsLinked to original sources

A Single Genomic Region Controls Primocane Fruiting in Tetraploid Blackberry

The fresh-market blackberry (Rubus subgenus Rubus) industry has expanded dramatically in the past two decades, driven in part by improved cultivars. Introgression of the primocane-fruiting (PF; annual flowering) trait into elite germplasm has enabled dual cropping in a single year, season extension, and cultivation in tropical and subtropical regions. Despite its economic performance, the genetic basis of PF is not well understood. It has been proposed that the PF trait is controlled by a major recessive locus, but its genomic location is unclear. Here, a genome-wide association study (GWAS) of 365 tetraploid blackberry genotypes identified a single genomic region on chromosome Ra03 ([~]33 Mb) strongly associated with PF. Genetic linkage analysis in a biparental population confirmed that the same interval (32-35 Mb) was linked to the PF phenotype. Ten putative candidate genes were identified in this region. Allele mining using whole-genome resequencing of 17 genotypes highlighted two high-priority candidates: a CCCH-type zinc finger gene and a ubiquitin-specific protease gene. Use of an improved Rubus argutus Hillquist genome annotation (v1.2) enabled refined variant interpretation, including identification of regulatory 3' UTR polymorphisms in the zinc finger homolog. Two diagnostic KASP markers (PF1 and PF2), designed from the most significant GWAS SNPs, predicted the PF phenotype with over 96% accuracy in a validation panel of 494 tetraploid blackberries from multiple breeding programs. Together, these results provide the first high-resolution mapping of the PF locus in blackberry, identify candidate genes for flowering regulation in Rubus, and deliver diagnostic markers that can be immediately deployed in breeding programs.

genetics↗

Transcriptional Circuitry in HGSOC: A Dynamic Three-State Model Informed by a Living Biobank of Purified Tumour Fractions

High-grade serous ovarian cancer (HGSOC) is a heterogeneous disease, but efforts to define transcriptional subtypes using bulk RNA sequencing have been confounded by the presence of non-malignant cells. As a result, it remains unclear whether tumour-cell-intrinsic states exist, and whether these represent stable disease subtypes or are dynamically remodelled during disease progression and treatment. Here, we address this question using a living biobank of patient-derived ovarian cancer models (OCMs) cultured as purified tumour-cell populations under uniform conditions. RNA sequencing followed by unsupervised non-negative matrix factorisation (NMF) revealed a robust, hierarchical architecture comprising three core tumour-cell-intrinsic subtypes: the Alpha cluster, marked by cell-cycle deregulation and E2F-driven replication stress; the Beta cluster, defined by tumour-cell-intrinsic immune mimicry and inflammatory signalling; and the Gamma cluster, characterised by epithelial identity, extracellular matrix engagement, and metabolic adaptation. At higher clustering resolution, a fourth cluster, Delta, emerged as a Gamma sub-lineage distinguished by a vesicle-oriented, neuronal-like secretory programme. By projecting cluster labels onto a subset of matched longitudinal OCMs using non-negative least squares, we show that while some tumours retain stable subtype identities, others display transcriptional plasticity, including transitions from epithelial-like Gamma states to more proliferative or secretory phenotypes. Together, these findings define the core architecture and dynamic potential of tumour-cell-intrinsic transcriptional states within HGSOC, thereby bridging legacy bulk classifications with emerging single-cell insights, establishing a framework for more precise patient stratification.

cancer biology↗

Late onset of striatal projection neuron hyperexcitability in Fmr1-/y mice

AbstractFragile X Syndrome (FXS), the most common genetic cause of intellectual disability and autism spectrum disorder (ASD), results from silencing of the FMR1 gene and consequent loss of Fragile X Messenger Ribonucleoprotein (FMRP). FMRP deficiency disrupts neural development, leading to behavioral and motor deficits associated with striatal dysfunction. While structural and functional abnormalities in striatal projection neurons (SPNs) have been observed in adult Fmr1 knockout (KO) mice, their developmental onset and contribution to early FXS pathophysiology remain unknown. In this study, we examined the postnatal maturation of SPN in the dorsomedial striatum (DMS) of Fmr1 KO mice, assessing glutamatergic synaptic inputs and intrinsic excitability. During postnatal development, Fmr1 deficient SPNs in DMS display normal synaptic and intrinsic properties, consistent with typical maturation. In contrast, by P60, SPNs of mice exhibit pronounced hyperexcitability, characterized by increased membrane resistance, reduced rheobase, and slower action potential kinetics. These perturbations affect both Dopamine 1 receptor-expressing (D1-SPN) and D2 receptor-expressing (D2-SPN) SPNs, though some action potential dynamics are selectively impaired in D1-SPNs. Chronic aripiprazole treatment, a widely prescribed therapy for FXS-related symptoms, fails to normalize SPN excitability, highlighting its limited efficacy in addressing core SPN dysfunction. Our findings reveal a late-onset hyperexcitability in DMS SPNs of Fmr1 KO mice, suggesting a progressive emergence of striatal neuron abnormalities over development. These results underscore the importance of developmental timing in FXS pathophysiology and emphasize the need for targeted interventions to address striatal circuit dysfunction.

neuroscience↗

Genetic Control of Prickles in Tetraploid Blackberry

Prickle-free blackberry (Rubus subgenus Rubus) canes are strongly preferred by growers due to food and worker safety concerns and damage to fruit from mechanical injury by prickles. This project was conducted to identify the genetic region responsible for prickle-free canes derived from the recessive Merton Thornless source in autotetraploid blackberry using a genome-wide association study, develop diagnostic KASP markers for prickle-free canes, and determine the effects of allele dosage at the prickle-free locus on prickle density in two biparental populations. The prickle locus was located on chromosome Ra04 from 30.48 to 36.04 Mb in an extensive LD block, with the peak SNP located at 33.64 Mb. Two diagnostic KASP markers were developed that correctly predicted the phenotype of 97% and 96% of 626 diverse fresh-market blackberry genotypes from multiple breeding programs, respectively. Allele dosage at the prickle-free locus had a significant impact on prickle density, with duplex prickly genotypes having significantly higher prickle density than simplex genotypes in both biparental populations studied. Five potential candidate genes with functional annotations related to epidermal, trichome, and/or prickle development were identified within the prickle-free locus, but no nonsynonymous polymorphism within these genes were identified. Article SummaryBlackberry cultivars with prickle-free canes are strongly preferred by growers and shipper marketers. The objectives of this study were to map the prickle-free locus in tetraploid fresh- market blackberries using a genome-wide association approach and develop diagnostic molecular markers that breeders can use to plan crosses and screen seedlings for prickle-free canes. The prickle-free locus was mapped to a 5.6 Mb region on chromosome Ra04. Two molecular markers developed in this region correctly predicted the phenotype of 96% or more of the breeding selections and cultivars in a large validation panel composed of germplasm from three breeding programs.

genetics↗

Early Postnatal Dysfunction of mPFC PV Interneurons in Shank3B-/- Mice

Anterior cingulate cortex (ACC) dysfunction is implicated in the cognitive and social deficits associated with autism spectrum disorder (ASD), yet the developmental trajectory of ACC circuit maturation in ASD remains poorly understood. Here, we examined the postnatal development of glutamatergic synaptic connectivity and intrinsic excitability in layer 2/3 pyramidal neurons (PYR) and Parvalbumin-expressing interneurons (PVIN) in the ACC of mice harboring a deletion in SHANK3 (Shank3B-/-), a well-established genetic cause of autism. We found that ACC PVINs in Shank3B-/- mice exhibit reduced excitability and in vivo hypoactivity as early as postnatal day 15 (P15) despite receiving normal levels of glutamatergic input. This early PVIN hypoexcitability is associated with decreased feedforward inhibition from the mediodorsal thalamus and reduced hyperpolarization-activated (Ih) currents mediated by hyperpolarization-activated cyclic nucleotide gated (HCN) channels. In contrast, PYRs display normal excitability and synaptic input at this stage but already exhibit reduced Ih currents, indicating an early emergence of HCN channel dysfunction in both PYR and PVIN. By adulthood, both neuron populations undergo marked phenotypic changes, characterized by reduced glutamatergic synaptic input and divergent alterations in excitability. Together, these findings reveal a distinct sequence of early PVIN dysfunction followed by cell-type specific circuit reorganization within ACC layer 2/3 of Shank3B-/- mice and identify HCN channelopathy and impaired PVIN-mediated inhibition as early pathogenic features of SHANK3-related neurodevelopmental disorders.

neuroscience↗

Late onset and regional heterogeneity of synaptic deficits in cortical PV interneurons of Shank3B-/- mice

Epilepsy and epileptiform patterns of cortical activity are highly prevalent in autism spectrum disorders (ASDs), but the neural substrates and pathophysiological mechanisms underlying the onset of cortical dysfunction in ASD remains elusive. Reduced cortical expression of Parvalbumin (PV) has been widely observed in ASD mouse models and human postmortem studies, suggesting a crucial role of PV interneurons (PVINs) in ASD pathogenesis. Shank3B-/- mice carrying a {Delta}13-16 deletion in SHANK3 exhibit cortical hyperactivity during postnatal development and reduced sensory responses in cortical GABAergic interneurons in adulthood. However, whether these phenotypes are associated with PVIN dysfunction is unknown. Using whole-cell electrophysiology and a viral-based strategy to label PVINs during postnatal development, we performed a developmental characterization of AMPAR miniature excitatory postsynaptic currents (mEPSCs) in PVINs and pyramidal (PYR) neurons of layer (L) 2/3 mPFC in Shank3B-/- mice. Surprisingly, reduced mEPSC frequency was observed in both PYR and PVIN populations, but only in adulthood. At P15, when cortical hyperactivity is already observed, both neuron types exhibited normal mEPSC amplitude and frequency, suggesting that glutamatergic connectivity deficits in these neurons emerge as compensatory mechanisms. Additionally, we found normal mEPSCs in adult PVINs of L2/3 somatosensory cortex, revealing region-specific phenotypic differences of cortical PVINs in Shank3B-/- mice. Together, these results demonstrate that loss of Shank3 alters PVIN function but suggest that PVIN glutamatergic synapses are a suboptimal therapeutic target for normalizing early cortical imbalances in SHANK3-associated disorders. More broadly, these findings underscore the complexity of interneuron dysfunction in ASDs, prompting further exploration of region and developmental stage specific phenotypes for understanding and developing effective interventions.

neuroscience↗

TP53 loss initiates chromosomal instability in high-grade serous ovarian cancer

High-grade serous ovarian cancer (HGSOC) originates in the fallopian tube epithelium and is characterized by ubiquitous TP53 mutation and extensive chromosomal instability (CIN). While the direct causes of CIN are errors during DNA replication and/or chromosome segregation, mutations in genes encoding DNA replication and mitotic factors are rare in HGSOC. Thus, the drivers of CIN remain undefined. We therefore asked whether the oncogenic lesions that are frequently observed in HGSOC are capable of driving CIN via indirect mechanisms. To address this question, we genetically manipulated non-transformed hTERT-immortalized human fallopian tube epithelial cells to model homologous recombination deficiency (HRD) and oncogenic signalling in HGSOC. Using CRISPR/Cas9-mediated gene editing, we sequentially mutagenized the tumour suppressors TP53 and BRCA1, followed by overexpression of the MYC oncogene. Single-cell shallow-depth whole-genome sequencing revealed that loss of p53 function was sufficient to lead to the emergence of heterogenous karyotypes harbouring whole chromosome and chromosome arm aneuploidies, a phenomenon exacerbated by subsequent loss of BRCA1 function. In addition, whole-genome doubling events were observed in independent p53/BRCA1-deficient subclones. Global transcriptomics showed that TP53 mutation was also sufficient to deregulate gene expression modules involved in cell cycle commitment, DNA replication, G2/M checkpoint control and mitotic spindle function, suggesting that p53-deficiency induces cell cycle distortions that could precipitate CIN. Again, loss of BRCA1 function and MYC overexpression exacerbated these patterns of transcriptional deregulation. Thus, our observations support a model whereby the initial loss of the key tumour suppressor TP53 is sufficient to deregulate gene expression networks governing multiple cell cycle controls, and that this in turn is sufficient to drive CIN in pre-malignant fallopian tube epithelial cells. SUMMARY STATEMENTHigh-grade serous ovarian cancer is defined by TP53 mutation and chromosomal instability, the cause of which remains poorly understood. We developed a novel model system that implicates cell cycle deregulation upon p53-loss as cause of CIN.

cancer biology↗

Classification of ovarian cancer cell lines using transcriptional profiles defines the five major pathological subtypes

Epithelial ovarian cancer (EOC) is a heterogenous disease consisting of five major pathologically distinct subtypes: High-grade serous ovarian carcinoma (HGSOC), low-grade serous (LGS), endometrioid, clear cell and mucinous carcinoma. Although HGSOC is the most prevalent subtype, representing approximately 75% of cases, a 2013 landmark study from Domcke et al., found that many frequently used ovarian cancer cell lines were not genetically representative of HGSOC tissue samples from The Cancer Genome Atlas. Although this work subsequently identified several rarely used cell lines to be highly suitable as HGSOC models, cell line selection for ovarian cancer research does not appear to have altered substantially in recent years. Here, we find that application of non-negative matrix factorisation (NMF) to the transcriptional profiles of 45 commonly used ovarian cancer cell lines exquisitely clusters them into five distinct classes, representative of the five main subtypes of EOC. This methodology was in strong agreement with Domcke et al., in identification of cell lines most representative of HGSOC. Furthermore, this robust classification of cell lines, including some previously not annotated or miss-annotated in the literature, now informs selection of the most appropriate models for all five pathological subtypes of ovarian cancer. Furthermore, using machine learning algorithms trained using the classification of the current cell lines, we are able provide a methodology for future classification of novel EOC cell lines.

cancer biology↗

PARG inhibition induces replication catastrophe in ovarian cancer cells with down-regulated DNA replication genes

The discovery that PARP1/2 inhibitors selectively kill BRCA mutant cells has led to a paradigm shift in the treatment of women with homologous recombination (HR)-deficient high-grade serous ovarian cancer (HGSOC), driving unprecedented improvements in progression-free and, more recently, overall survival. However, because most HGSOC cases are not HR-defective, and are therefore unlikely to benefit from PARPi-based therapies, additional strategies will be required to improve outcomes for women with HR-proficient disease. To develop novel therapeutic strategies, considerable attention is now being focused on inhibitors targeting PARG, the poly(ADP ribose) glycohydrolase that counterbalances PARP1/2 activity. Here we characterise ten ovarian cancer cell lines in response to the PARG inhibitor PDD00017273, hereafter PARGi. We demonstrate that six lines are resistant while four are sensitive, and that sensitivity correlates with several markers of persistent DNA replication stress, DNA damage and replication catastrophe, namely the accumulation of asymmetric DNA replication fibres, {gamma}H2AX and RPA foci, KAP1 and Chk1 phosphorylation, a pre-mitotic cell cycle block and, following prolonged exposure, a pan-nuclear {gamma}H2AX phenotype that indicates RPA exhaustion. We demonstrate that PARGi-sensitive cell lines have down-regulated DNA replication genes, including components of the fork protection complex, namely TIMELESS, TIPIN and CLASPIN. These observations suggest that a subset of HGSOC may respond to PARG inhibitors and that "replication stress" gene expression signature could serve as a predictive biomarker to guide the design of clinical trials.

cancer biology↗

Analytical and Clinical Validity Study of FirstStepDx PLUS: A Chromosomal Microarray Optimized for Patients with Neurodevelopmental Conditions

IntroductionChromosomal microarray analysis (CMA) is recognized as the first-tier test in the genetic evaluation of children with developmental delays, intellectual disabilities, congenital anomalies and autism spectrum disorders of unknown etiology.\n\nArray DesignTo optimize detection of clinically relevant copy number variants associated with these conditions, we designed a whole-genome microarray, FirstStepDx PLUS (FSDX). A set of 88,435 custom probes was added to the Affymetrix CytoScanHD platform targeting genomic regions strongly associated with these conditions. This combination of 2,784,985 total probes results in the highest probe coverage and clinical yield for these disorders.\n\nResults and DiscussionClinical testing of this patient population is validated on DNA from either non-invasive buccal swabs or traditional blood samples. In this report we provide data demonstrating the analytic and clinical validity of FSDX and provide an overview of results from the first 7,570 consecutive patients tested clinically. We further demonstrate that buccal sampling is an effective method of obtaining DNA samples, which may provide improved results compared to traditional blood sampling for patients with neurodevelopmental disorders who exhibit somatic mosaicism.\n\nClinical scenarioNeurodevelopmental disabilities, including developmental delays (DD), intellectual disabilities (ID), and autism spectrum disorders (ASD), affect up to 15% of children (1). In the majority of cases, a childs clinical presentation does not allow for a definitive etiological diagnosis. In such cases, CMA is recommended as the first-tier test that should be used to evaluate for a potential genetic etiology (2-7). A definitive genetic diagnosis allows patients to more often receive appropriate medical care tailored to their condition, as reflected by medical management changes and improved access to necessary support and educational services (8-13).\n\nTest descriptionFirstStepDx PLUS (FSDX) is an optimized clinical microarray test provided in the context of a comprehensive clinical service. Testing starts with either a non-invasive buccal swab sample or traditional blood sample from which DNA extraction using a Gentra Puregene(R) kit specific to the sample type (Qiagen, Inc., Valencia, CA) is performed in one of several contracted CLIA/CAP credentialed laboratories according to manufacturers protocols. High quality genomic DNA is fragmented, labeled and hybridized to FSDX arrays using reagents, equipment and methodology as specified by by the manufacturer (Affymetrix, Inc., Santa Clara, CA)(14). Washed arrays are scanned and raw data files are processed to CYCHP files using a reference file comprising at least 100 samples with normal array findings. Data analysis is performed using Chromosome Analysis Suite software version 2.0.1 (Affymetrix). Hybridization of patient DNA to oligonucleotide and SNP probes is independently compared against a previously analyzed cohort of normal samples to call CNVs and allele genotypes. The percentage mosaicism of whole-chromosome aneuploidies is determined using the average log2 ratio of the entire chromosome (14).\n\nMicroarray designFSDX was optimized by the addition of 88,435 custom probes targeting genomic regions strongly associated with ID/DD/ASD (15-24). This was effected, under GMP by Affymetrix, to the CytoScanHD platform using their microarray design process specifications which have been previously described (14). This is consistent with the ACMG recommendation of \"enrichment of probes targeting dosage-sensitive genes known to result in phenotypes consistent with common indications for a genomic screen\" (25). Critical regions that did not meet a desired probe density [≥]1 probe/1000 bp on the CytoScanHD were supplemented with additional probe content to allow for improved detection of smaller deletions and duplications in these critical regions. Finally, additional probes were added to improve detection of CNVs encompassing genes involved in other well-characterized neurodevelopmental disorders, for example GAMT (26) and GATM (27). All incremental probes were added in substitution for probes deemed sub-optimal by Affymetrix and previously masked, bringing FSDX to a grand total of 2,784,985 probes. Custom SNP probes (n =416) on FSDX are targeted by 12 oligonucleotides, three for each strand of each allele, which is approximately double the typical probe coverage for SNPs.\n\nTest interpretationCYCHP files are evaluated by ABMG certified cytogeneticists. Determination of CNVs is consistent with established cytogenetic standards. A minimum of 25-consecutive impacted probes is the baseline determinant for deletions and 50 probes for duplications independent of variant size. Rare CNVs are determined to be \"pathogenic\" if there is sufficient evidence published (at least two independent publications) to indicate that haploinsufficiency or triplosensitivity of the region or gene(s) involved is causative of clinical features or of sufficient overall size (28). If however, there is insufficient but at least preliminary evidence for a causative role for the region or gene(s) therein they are classified as variants of unknown significance (VOUS) independent of CNV size. Areas of absence of heterozygosity (AOH) are also classed as VOUS if of sufficient size and location to increase the risk for conditions with autosomal recessive inheritance or conditions with parent-of-origin/imprinting effects. Other CNVs are typically not reported after determination that they most likely represent normal common population variants and are contained in databases documenting presumptively benign CNVs, e.g., the Database of Genomic Variants (DGV) (29). These parameters were standard independent of the microarray used for analysis in comparative studies.\n\nPublic health importanceA definitive genetic diagnosis facilitates patient access to appropriate and necessary medical and support services. Defining the underlying genetic cause of DD/ID/ASD and/or multiple congenital anomalies (MCA) in each unique patient is vital to understanding etiology, prognosis, and course. It informs physicians of potential comorbid conditions for which a patient should be evaluated and treated proactively and optimally. Improved understandings of the appropriate therapeutic and behavioral approaches to that patient are also enabled. Genetic testing is best provided in the context of an integrated service (30), so FSDX provides comprehensive, clear, readable, and personalized reports for the healthcare provider and a family-friendly section to facilitate understanding of the often-complex results. The report is complemented by availability of pre- and post-test genetic counseling and technical support to providers. Moreover, FSDX includes personalized insurance pre-authorization and appeals assistance to overcome barriers encountered by both providers and families that, in many circumstances, prevent access to crucial genetic testing services (10-11).\n\nPublished reviews, recommendations and guidelinesThe American College of Medical Genetics (ACMG) (2,3), the American Academy of Child and Adolescent Psychiatry (4,7), the American Academy of Pediatrics (5), and the American Academy of Neurology/Child Neurology Society (6) recommend CMA as the first-tier test in the genetic evaluation of children with unexplained DD, ID, or ASD. Considerable data supporting these guidelines are documented in numerous reviews and publications (31-36). The ACMG has also published guidelines on both array design (25) and the validation of arrays, including validation of a new version of a platform in use by the laboratory from the same manufacturer, and of additional sample types (28).

genomics↗