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Davis, M. B.

Publications and source records attributed to Davis, M. B..

13 recordsLinked to original sources

Mutant p53 Directs PARP to Regulate Replication Stress and Drive Breast Cancer Metastasis

TP53 mutations occur in 80-90% of triple-negative breast cancers (TNBCs) and drive genomic instability and metastatic progression. Poly (ADP-ribose) polymerase (PARP) is critical for DNA repair and replication fork stability. How oncogenic signaling influences PARP function to sustain proliferation during replication stress remains unclear. Mutant p53 (mtp53) R273H associates tightly with chromatin, forms complexes with PARP, and enhances PARP recruitment to replication forks [1-3]. The C-terminal region of mtp53 mediates mtp53-PARP and mtp53-Poly (ADP-ribose) (PAR) interactions that facilitate S phase progression [4, 5]. The PARP inhibitor talazoparib (TAL) combined with the alkylating agent temozolomide (TMZ) produces synergistic cytotoxicity selectively in mtp53, but not wild-type p53 (wtp53), breast cancer cells and organoids. Herein we evaluated the mechanism of mtp53-associated cell death and tested if this could translate to a preclinical xenograft model. We found that TMZ+TAL treatment induced elevated cleaved PARP and {gamma}H2AX and reduced the metastasis-promoting oncoprotein MDMX. In orthotopic xenografts expressing mtp53 R273H, but not wtp53, combination therapy significantly decreased circulating tumor cells (CTCs) and lung metastases. Transcriptomic profiling of tumors from combination treated animals demonstrated downregulation of MDMX, VEGF, and NF-{kappa}B, consistent with the observed suppression of CTCs and lung metastasis, and increased {gamma}H2AX, indicative of replication stress in mtp53 xenografts. Inhibition of metastasis was also observed in mtp53 R273H WHIM25 and p53-undetectable WHIM6 TNBC patient-derived xenografts (PDX). The mtp53 C-terminal domain (347-393) demonstrated a critical tumor promoting function, as CRISPR-mediated deletion impaired replication fork progression, tumor growth, and metastatic dissemination. DNA fiber combing showed that expression of full-length mtp53 R273H, but not C-terminal deleted {Delta}347-393, supported sustained single-stranded DNA gaps (ssGAPs) following Poly (ADP-ribose) glycohydrolase (PARG) inhibition. These findings support that mtp53 uses C-terminal amino acids to exploit PARP to enable replication stress adaptation and that mtp53 is a predictive biomarker for combined PARP inhibitor and DNA damaging therapies targeting TNBC. Significance statementTP53 mutations are the most common genetic alterations in TNBC and a major driver of replication stress and metastasis. This study shows that missense mutant p53 uses C-terminal amino acids to reprogram PARP activity to maintain tumor cell survival under replication stress. We demonstrate that p53 status governs the response to combined PARP inhibitor (PARPi) and DNA-damaging chemotherapy, establishing an additional molecular basis beyond BRCA1 mutations for treating TNBC with PARPi therapy. These findings reveal a previously unrecognized mechanism by which the mutant p53-PARP axis enables replication stress tolerance and drives cancer metastasis. We show mutation of p53 in TNBC provides an additional biomarker-guided framework to improve PARPi therapeutic outcomes.

cancer biology↗

An explainable boosting machine model for identifying artifacts caused by formalin-fixed paraffin embedding

BackgroundFormalin-fixed paraffin-embedding (FFPE) is a widely used, cost-effective method for long-term storage of clinical samples. However, fixation is known to introduce damage to nucleic acids that can present as artifactual bases in sequencing otherwise absent from higher fidelity storage methods such as fresh freezing (FF). Various machine learning methods exist for filtering these variant artifacts, but benchmarking performance can be difficult without reliable truth sets. In this study, we employ a collection of 90 paired fresh-frozen and formalin-fixed paraffin embedded samples from the same tumor to robustly define real and FFPE-derived, artifactual variation and enable objective evaluation of filtering methods. To address existing shortcomings, we propose a novel explainable boosting machine (EBM) model that improves performance, can be easily updated with new data, requires modest computational resources, and is analysis pipeline agnostic, making it broadly accessible. ResultsWe evaluated several methods for limiting FFPE-derived variant artifacts using cohorts of B-cell lymphoma samples. We found capturing local context around variants to be a highly informative, under-utilized feature set not commonly incorporated into many existing machine learning methods. Consequently, we developed a novel algorithm, FIFA, for filtering FFPE artifacts, which uses an EBM model, an interpretable decision-tree-based learning algorithm, to address some of the existing shortcomings. We used four independent cohorts composed of paired lymphoma and cervical cancer samples and a breast cancer cell line with both FF and FFPE samples to define clearly annotated training and test sets and demonstrated improved performance over existing methods. Additionally, FIFA filtering increased relevant biological signals in FFPE breast cancer datasets distinct from the training and testing sets. The EBM framework employed by FIFA is computationally efficient and easily amenable to incorporation of additional datasets due to its generalized additive modeling of features making it straightforward to incorporate new data into existing models dynamically over time. ConclusionsOur novel FFPE variant artifact filtering tool, FIFA, is a marked improvement over existing methods. It can be easily implemented, post hoc, to supplement existing somatic calling pipelines, training and inference can be run quickly across most compute environments, and it can be easily updated online as new training data becomes available. Accordingly, FIFA represents an important advance in retrospective cancer genomics research by further enhancing access to the vast stores of FFPE-archived tumor samples currently in existence.

bioinformatics↗

Uncovering Functional Sequence Gaps in Human Reference Genomes using African Pan Genome Contig Sequences

Human reference genomes underpin biomedical discovery but remain incomplete and biased toward European populations, constraining interpretation of genetic variation in underrepresented populations. Here we characterize African Pan Genome (APG) contigs totaling 296.5 Mb to define the sequence and functional landscape of genomic regions absent from current references. Most contigs align to the telomere-to-telomere (T2T-CHM13) genome and across 47 haplotype-resolved Human Pangenome Reference Consortium (HPRC) assemblies, with T2T-CHM13 placements enriched in centromeric and satellite repeats and overlapping 373 genes, including disease-associated loci. Mapping across HPRC assemblies revealed ancestry-associated contig enrichment, particularly in African genomes. Notably, 742 contigs remained unmapped under both stringent and relaxed criteria. These sequences are largely nonrepetitive and exhibit strong functional potential, including predicted protein-coding genes, CpG islands and transcriptional activity. Together, these results demonstrate that functionally relevant, ancestry-enriched genomic sequences remain absent from current references, with important implications for disease variant interpretation and precision medicine.

genomics↗

Parametric Modulation of a Shared Midbrain Circuit Drives Distinct Vocal Modes in a Singing Mouse

The ability of neural circuits to generate multiple outputs is critical for behavioral flexibility. Here, we leverage the rich vocal behavior of the singing mouse (Scotinomys teguina) to investigate the organizational logic of multifunctional motor circuits. We show that two distinct vocal modes--soft, unstructured ultrasonic vocalizations (USVs) for short-range and loud, rhythmic songs for long-range communication--arise not via parallel pathways but through shared brainstem phonatory circuitry involving the caudolateral periaqueductual gray (clPAG). Using a three-parameter linear model of song rhythm, we demonstrate that synaptic silencing of clPAG progressively alters song duration through a single parameter controlling its termination. This parameter also explains sexual dimorphism in songs, identifying clPAG as a key locus for driving natural behavioral variability. Our findings reveal how parametric modulation of a central circuit node can produce distinct behavioral modes, providing a mechanistic basis for rapid behavioral evolution in mammals.

neuroscience↗

Axially decoupled photo-stimulation and two photon readout (ADePT) for mapping functional connectivity of neural circuits

All-optical in vivo physiology enables three-dimensional interrogation of neural circuits function. Here, we introduce ADePT (Axially-Decoupled Photo-stimulation and Two-photon readout), a strategy that combines flexible optogenetic stimulation with neural activity imaging. ADePT achieves axially contained widefield patterned stimulation by coupling a digital micro-mirror device illuminated by a solid-state laser to a motorized holographic diffuser, while in parallel performing multiphoton imaging across different z-planes. As a proof of principle, we apply ADePT to map excitatory and inhibitory functional connectivity in the mouse early olfactory system. By controlling activity in individual glomeruli on the olfactory bulb surface and recording responses from output mitral and tufted cells in deeper layers, we identify cohorts of sister cells driven by the same parent glomerulus and analyze their distinct connectivity patterns. We further report specificity in the inhibitory circuitry, as we find that GABAergic/dopaminergic (DAT+) interneurons associated with different glomeruli selectively suppress baseline and odor-evoked activity in distinct mitral and tufted cell populations. Together, these results establish ADePT as a platform for high-throughput functional connectivity mapping in optically accessible brain regions.

neuroscience↗

Distinct regulatory mechanisms by the nuclear Argonautes HRDE-1 and NRDE-3 in the soma of Caenorhabditis elegans.

RNA interference is a conserved silencing mechanism that depends on the generation of small RNA molecules that disrupt synthesis of their corresponding transcripts. Nuclear RNA interference is a unique process that triggers regulation through epigenetic alterations to the genome. This pathway has been extensively characterized in Caenorhabditis elegans and involves the nuclear recruitment of H3K9 histone methyltransferases by the Argonautes HRDE-1 and NRDE-3. The coordinate regulation of genetic targets by H3K9 methylation and the nuclear Argonautes is highly complex and has been mainly described based on the small RNA populations that are involved. Recent studies have also linked the nuclear RNAi pathway to the compaction of the hermaphrodite X chromosomes during dosage compensation, a mechanism that balances genetic differences between the biological sexes by repressing X chromosomes in hermaphrodites. This chromosome-wide process provides an excellent opportunity to further investigate the relationship between H3K9 methylation and the nuclear Argonautes from the perspective of the transcriptome. Our work suggests that the nuclear RNAi and the H3K9 methylation pathways each contribute to the condensation of the X chromosomes during dosage compensation but the consequences on their transcriptional output are minimal. Instead, nuclear RNAi mutants exhibit global transcriptional differences, in which HRDE-1 and NRDE-3 affect expression of their native targets through different modes of regulation and different relationships to H3K9 methylation. ARTICLE SUMMARYThis study examines the transcriptional consequences during the disruption of the nuclear RNAi silencing mechanism in C. elegans. Through microscopy and bioinformatic work, we demonstrate that although nuclear RNAi mutants exhibit significantly decondensed X chromosomes, chromosome-wide transcriptional de-repression is not detectable. Downstream analyses further explore the global influence of the nuclear RNAi pathway, indicating that the nuclear Argonautes HRDE-1 and NRDE-3 function through two distinct mechanisms.

genetics↗

Selective expansion of motor cortical projections in the evolution of vocal novelty

Deciphering how cortical architecture evolves to drive behavioral innovations is a long-standing challenge in neuroscience and evolutionary biology. Here, we leverage a striking behavioral novelty in the Alstons singing mouse (Scotinomys teguina), compared to the laboratory mouse (Mus musculus), to quantitatively test models of motor cortical evolution. We used bulk tracing, serial two-photon tomography, and high-throughput DNA sequencing of over 76,000 barcoded neurons to discover a specific and substantial expansion ([~]200%) of orofacial motor cortical (OMC) projections to the auditory cortical region (AudR) and the midbrain periaqueductal gray (PAG), both implicated in vocal behaviors. Moreover, analysis of individual OMC neurons projection motifs revealed preferential expansion of exclusive projections to AudR. Our results imply that selective expansion of ancestral motor cortical projections can underlie behavioral divergence over short evolutionary timescales, suggesting potential mechanisms for the evolution of enhanced cortical control over vocalizations--a crucial preadaptation for human language.

neuroscience↗

Kinome focused CRISPR-Cas9 screens in African ancestry patient-derived breast cancer organoids identifies essential kinases and synergy of EGFR and FGFR1 inhibition.

Precision medicine approaches to cancer treatment aim to exploit genomic alterations that are specific to individual patients to tailor therapy strategies. These alterations are usually revealed via next generation sequencing of the tumor tissue. Yet, it is clear that some targetable genes and pathways are essential for tumor cell viability even in the absence of direct genomic alterations. This is especially important in under-represented populations, whose mutational landscape and determinants of response to existing therapies are poorly characterized due to limited inclusion in clinical trials and studies. One way to reveal tumor essential genes is with genetic screens. Most screens are conducted on cell lines that bear little resemblance to patient tumors, after years of culture in non-physiological conditions. To address this problem, we aimed to develop a CRISPR screening pipeline in 3D-grown patient-derived tumor organoid (PDTO) models. We focused on identifying essential kinases that may translate to options for targeted therapies, including combination therapies. We first established a breast cancer PDTO biobank focused on underrepresented populations, including West African patients. We then performed a negative selection kinome-focused CRISPR screen to identify kinases essential for organoid growth and potential targets for combination therapy with EGFR or MEK inhibitors. We identified several previously unidentified kinase targets and showed that combination of FGFR1 and EGFR inhibitors synergizes to block organoids proliferation. Together these data demonstrate feasibility of CRISPR-based genetic screens in patient-derived tumor models, including PDTOs from under-represented cancer patients, and identify new targets for cancer therapy.

cancer biology↗

Fast updating feedback from piriform cortex to the olfactory bulb relays multimodal reward contingency signals during rule-reversal

While animals readily adjust their behavior to adapt to relevant changes in the environment, the neural pathways enabling these changes remain largely unknown. Here, using multiphoton imaging, we investigated whether feedback from the piriform cortex to the olfactory bulb supports such behavioral flexibility. To this end, we engaged head-fixed mice in a multimodal rule-reversal task guided by olfactory and auditory cues. Both odor and, surprisingly, the sound cues triggered cortical bulbar feedback responses which preceded the behavioral report. Responses to the same sensory cue were strongly modulated upon changes in stimulus-reward contingency (rule reversals). The re-shaping of individual bouton responses occurred within seconds of the rule-reversal events and was correlated with changes in the behavior. Optogenetic perturbation of cortical feedback within the bulb disrupted the behavioral performance. Our results indicate that the piriform-to-olfactory bulb feedback carries reward contingency signals and is rapidly re-formatted according to changes in the behavioral context.

neuroscience↗

Patient-derived tumor organoids with p53 mutations, and not wild-type p53, are sensitive to synergistic combination PARP inhibitor treatment

Poly (ADP-ribose) polymerase inhibitors (PARPi) are used for patients with BRCA1/2 mutations, but patients with other mutations may benefit from PARPi treatment. Another mutation that is present in more cancers than BRCA1/2 is mutation to the TP53 gene. In 2D breast cancer cell lines, mutant p53 (mtp53) proteins tightly associate with replicating DNA and Poly (ADP-ribose) polymerase (PARP) protein. Combination drug treatment with the alkylating agent temozolomide and the PARPi talazoparib kills mtp53 expressing 2D grown breast cancer cell lines. We evaluated the sensitivity to the combination of temozolomide plus PARPi talazoparib treatment to breast and lung cancer patient-derived tumor organoids (PDTOs). The combination of the two drugs was synergistic for a cytotoxic response in PDTOs with mtp53 but not for PDTOs with wtp53. The combination of talazoparib and temozolomide induced more DNA double-strand breaks in mtp53 expressing organoids than in wild-type p53 expressing organoids as shown by increased {psi}-H2AX protein expression. Moreover, breast cancer tissue microarrays (TMAs) showed a positive correlation between stable p53 and high PARP1 expression in sub-groups of breast cancers, which may indicate sub-classes of breast cancers sensitive to PARPi therapy. These results suggest that mtp53 could be a biomarker to predict response to the combination of PARPi talazoparib-temozolomide treatment.

cancer biology↗

Vitamin D receptor cistrome-transcriptome analyses establishes quantitatively distinct receptor genomic interactions in African American prostate cancer regulated by BAZ1A

BackgroundAfrican American (AA) prostate cancer (PCa) appears uniquely sensitive to 1,25(OH)2D3 signaling, compared to European American (EA) PCa, but the extent and impact of vitamin D receptor genomic functions remain poorly defined. ResultsA panel of EA and AA prostate epithelial cells (EA: HPr1-AR, LNCaP, AA: RC43N, RC43T, RC77N, RC77T) were analyzed with RIME to reveal the cell-specific composition of the VDR- complex. 1,25(OH)2D3-dependent ATAC-Seq revealed the greatest impact on nucleosome positioning in RC43N and RC43T, with gain of nucleosome-free at enhancer regions. VDR ChIP-Seq identified stronger and more frequent VDR binding in RC43N and RC43T that was enriched for a larger and distinct motif repertoire, than EA cells. VDR binding significantly overlapped with core circadian rhythm transcription factors in AA cell line models. RNA-Seq also revealed significantly stronger 1,25(OH)2D3 dependent VDR transcriptional responses enriched for circadian rhythm and inflammation networks in AA cells. Whilst RC43N was most responsive, RC43T displayed distorted responses. Significantly reduced BAZ1A/SMARCA5 in AA PCa samples was identified, and restored BAZ1A expression uniquely and significantly increased 1,25(OH)2D3-regulated VDR targets in AA cells. These VDR- dependent cistrome-annotated genes were also uniquely and most significantly identified in three cohorts of AA PCa patients. ConclusionThese data suggest VDR transcriptional control in the prostate is more potent and dynamic in AA men, and primed to govern inflammatory and circadian pathways. Reduced BAZ1A/SMARCA5 expression and/or reduced environmentally-regulated serum vitamin D3 levels suppress these actions. Therefore, the VDR axis lies at the cross-roads of biopsychosocial processes including stress responses, access to quality early detection and treatment, social determinants and that collectively contribute to PCa health disparities.

cancer biology↗

Dual Roles for Nuclear RNAi Argonautes in C. elegans Dosage Compensation

Dosage compensation involves chromosome-wide gene regulatory mechanisms which impact higher order chromatin structure and are crucial for organismal health. Using a genetic approach, we identified Argonaute genes which promote dosage compensation in C. elegans. Dosage compensation in C. elegans hermaphrodites is initiated by the silencing of xol-1 and subsequent activation of the Dosage Compensation Complex (DCC) which binds to both hermaphrodite X chromosomes and reduces transcriptional output by twofold. A hallmark phenotype of dosage compensation mutants is decondensation of the X chromosomes. We characterized this phenotype in Argonaute mutants using X chromosome paint probe and fluorescence microscopy. We found that while nuclear Argonaute mutants hrde-1 and nrde-3 exhibit de-repression of xol-1 transcripts, they also effect X chromosome condensation in a xol-1-independent manner. We also characterized the physiological contribution of Argonaute genes to dosage compensation using genetic assays and find that hrde-1 and nrde-3, together with the piRNA Argonaute prg-1, contribute to healthy dosage compensation both upstream and downstream of xol-1.

genetics↗

Wiring logic of the early rodent olfactory system revealed by high-throughput sequencing of single neuron projections

The structure of neuronal connectivity often provides insights into the relevant stimulus features, such as spatial location, orientation, sound frequency, etc1-6. The olfactory system, however, appears to lack structured connectivity as suggested by reports of broad and distributed connections both from the olfactory bulb to the piriform cortex7-22 and within the cortex23-25. These studies have inspired computational models of circuit function that rely on random connectivity26-33. It remains, nonetheless, unclear whether the olfactory connectivity contains spatial structure. Here, we use high throughput anatomical methods (MAPseq and BARseq)34-38 to analyze the projections of 5,309 bulb and 30,433 piriform cortex output neurons in the mouse at single-cell resolution. We identify previously unrecognized spatial organization in connectivity along the anterior-posterior axis (A-P) of the piriform cortex. We find that both the bulb projections to the cortex and the cortical outputs are not random, but rather form gradients along the A-P axis. Strikingly, these gradients are matched: bulb neurons targeting a given location within the piriform cortex co-innervate extra-piriform regions that receive strong inputs from neurons within that piriform locus. We also identify signatures of local connectivity in the piriform cortex. Our findings suggest an organizing principle of matched direct and indirect olfactory pathways that innervate extra-piriform targets in a coordinated manner, thus supporting models of information processing that rely on structured connectivity within the olfactory system.

neuroscience↗