Genome Integrity Research Articles

Exonuclease editor promotes precision of gene editing in mammalian cells

BackgroundMany efforts have been made to improve the precision of Cas9-mediated gene editing through increasing knock-in efficiency and decreasing byproducts, which proved to be challenging.ResultsHere, we have developed a human exonuclease 1-based genome-editing tool, referred to as exonuclease editor. When compared to Cas9, the exonuclease editor gave rise to increased HDR efficiency, reduced NHEJ repair frequency, and significantly elevated HDR/indel ratio. Robust gene editing precision of exonuclease editor was even superior to the fusion of Cas9 with E1B or DN1S, two previously reported precision-enhancing domains. Notably, exonuclease editor inhibited NHEJ at double strand breaks locally rather than globally, reducing indel frequency without compromising genome integrity. The replacement of Cas9 with single-strand DNA break-creating Cas9 nickase further increased the HDR/indel ratio by 453-fold than the original Cas9. In addition, exonuclease editor resulted in high microhomology-mediated end joining efficiency, allowing accurate and flexible deletion of targeted sequences with extended lengths with the aid of paired sgRNAs. Exonuclease editor was further used for correction of DMD patient-derived induced pluripotent stem cells, where 30.0% of colonies were repaired by HDR versus 11.1% in the control.ConclusionsTherefore, the exonuclease editor system provides a versatile and safe genome editing tool with high precision and holds promise for therapeutic gene correction.

Systematic metabolic engineering of Zymomonas mobilis for β-farnesene production

Zymomonas mobilis is an ethanologenic bacterium that can produce hopanoids using farnesyl pyrophosphate (FPP), which can be used as the precursor by β-farnesene synthase for β-farnesene production. To explore the possibility and bottlenecks of developing Z. mobilis for β-farnesene production, five heterologous β-farnesene synthases were selected and screened, and AaBFS from Artemisia annua had the highest β-farnesene titer. Recombinant strains with AaBFS driven by the strong constitutive promoter Pgap (Pgap–AaBFS) doubled its β-farnesene production to 25.73 ± 0.31 mg/L compared to the recombinant strain with AaBFS driven by Ptet (Ptet–AaBFS), which can be further improved by overexpressing the Pgap–AaBFS construct using the strategies of multiple plasmids (41.00 ± 0.40 mg/L) or genomic multi-locus integration (48.33 ± 3.40 mg/L). The effect of cofactor NADPH balancing on β-farnesene production was also investigated, which can be improved only in zwf-overexpressing strains but not in ppnK-overexpressing strains, indicating that cofactor balancing is important and sophisticated. Furthermore, the β-farnesene titer was improved to 73.30 ± 0.71 mg/L by overexpressing dxs, ispG, and ispH. Finally, the β-farnesene production was increased to 159.70 ± 7.21 mg/L by fermentation optimization, including the C/N ratio, flask working volume, and medium/dodecane ratio, which was nearly 13-fold improved from the parental strain. This work thus not only generated a recombinant β-farnesene production Z. mobilis strain but also unraveled the bottlenecks to engineer Z. mobilis for farnesene production, which will help guide the future rational design and construction of cell factories for terpenoid production in non-model industrial microorganisms.

Abstract IA020: AI-powered tool for rapid & reliable bladder cancer screening and surveillance: multicenter validation efforts

Abstract Bladder cancer is the most recurrent form of cancer, requiring frequent screening and surveillance, which contributes to its status as the costliest per capita. While urine cytology serves as a crucial adjunct to invasive cystoscopy, it is high volume, labor-intensive, and relatively inconsistent. Despite the implementation of The Paris System, which introduced updated quantitative guidelines, implementation of digital tools for urine cytology still trails the technological advancements seen in semi-automated Pap smear screenings. This lag can be attributed to the diverse cytomorphology of urine specimens and variation in specimen preparation and screening. Our team has developed AutoParis-X (APX), a state-of-the-art technology leveraging deep learning algorithms to extract objective (e.g., nucleus-to-cytoplasm ratio) and subjective (e.g., hyperchromasia) features from whole slide images (WSI). APX transforms these features into the Atypia Burden Score (ABS), offering a quantitative assessment of malignancy and recurrence risks on a scale from 0 to 1. Initially validated with 1300 samples (ThinPrep; Leica Aperio GT450) at Dartmouth Hitchcock, achieving an AUROC of 0.9, APX has evolved into APX-WEB, a user-friendly, web-based tool for cytopathologists. Notable challenges persist, including: 1) validating across nationally representative cohorts with varied specimen preparations and imaging, 2) addressing the intricacies of z-stacking for imaging non-monolayer preparations, and 3) integration of genomics to heighten the sensitivity of imaging assays. This study aimed to establish a performance baseline for APX's adaptability to these challenges without algorithmic adjustments. APX was applied across three distinct cohorts: 1) a preliminary national validation on 500 ThinPrep WSI in collaboration with Hologic; 2) assessment on non-monolayer specimen preparations (e.g., SurePath), using z-stacking, conducted with Johns Hopkins (n=100 WSI); and 3) a pilot study at Dartmouth (n=19) for integrating APX's imaging features with whole exomic sequencing (WES). Preliminary findings indicate: 1) Promising performance on a held-out Hologic national cohort (sensitivity=0.87, specificity=0.73; original APX study: sensitivity=0.88, specificity=0.83). 2) In SurePath z-stack WSI, the number of detected urothelial cells per cluster decreased with distance from the focus plane (rho =-0.13, p<0.001). 3) Of eight cases deemed negative or atypical by cytology, three exhibited TERT mutations, suggesting subclinical recurrence, in contrast to the consistent findings in all nine suspicious or positive cases. This highlights the potential of integrating genomics with image-based classifiers to enhance diagnostic precision. The findings underscore the need for future multicenter work aimed at refining machine learning models to achieve enhanced predictive performance across various operational parameters and settings, facilitating their implementation. Citation Format: Joshua Levy, Keluo Yao, Jonathan Marotti, Darcy Kerr, Edward Gutmann, Sam Harvey, Yoseph Sayegh, Chris VandenBussche, Michael Quick, Peter Costa, Lauren Wainman, Donald Green, Parth Shah, Xiaoying Liu, Louis Vaickus. AI-powered tool for rapid & reliable bladder cancer screening and surveillance: multicenter validation efforts [abstract]. In: Proceedings of the AACR Special Conference on Bladder Cancer: Transforming the Field; 2024 May 17-20; Charlotte, NC. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(10_Suppl):Abstract nr IA020.

Genotoxicity associated with retroviral CAR transduction of ATM-deficient T cells.

Somatic variants in DNA damage-response genes such as ATM are widespread in hematologic malignancies. ATM protein is essential for double-strand DNA break repair. Germline ATM-deficiencies underlie ataxia-telangiectasia (A-T), a disease manifested by radio-sensitivity, immunodeficiency and predisposition to lymphoid malignancies. A-T patients diagnosed with malignancies have poor tolerance to chemotherapy or radiation. We investigated chimeric-antigen receptor (CAR) T cells using primary T-cells from patients with A-T (ATM-/-), heterozygote donors (ATM+/-) and healthy donors. ATM-/- T-cells proliferate and can be successfully transduced with CARs, though functional impairment of ATM-/- CAR-T cells was observed. Retroviral transduction of the CAR in ATM-/- T-cells resulted in high rates of chromosomal lesions at CAR insertion sites, as confirmed by next-generation long-read sequencing. This work suggests that ATM is essential to preserve genome integrity of CAR-T cells during retroviral manufacturing, and its lack poses a risk of chromosomal translocations and potential leukemogenicity.

Genome integrity as a potential index of longevity in Ashkenazi Centenarian's families.

The aging process, or senescence, is characterized by age-specific decline in physical and physiological function, and increased frailty and genomic changes, including mutation accumulation. However, the mechanisms through which changes in genomic architecture influence human longevity have remained obscure. Copy number variants (CNVs), an abundant class of genomic variants, offer unique opportunities for understanding age-related genomic changes. Here we report the spectrum of CNVs in a cohort of 670 Ashkenazi Jewish centenarians, their progeny, and unrelated controls. The average ages of these groups were 97.4 ± 2.8, 69.2 ± 9.2, and 66.5 ± 7.0 respectively. For the first time, we compared different size classes of CNVs, from 1 kB to 100MB in size. Using a high-resolution custom Affymetrix array, targeting 44,639 genomic regions, we identified a total of 12,166, 22,188, and 10,285 CNVs in centenarians, their progeny, and control groups, respectively. Interestingly, the offspring group showed the highest number of unique CNVs, followed by control and centenarians. While both gains and losses were found in all three groups, centenarians showed a significantly higher average number of both total gains and losses relative to their controls (p < 0.0327, 0.0182, respectively). Moreover, centenarians showed a lower total length of genomic material lost, suggesting that they may maintain superior genomic integrity over time. We also observe a significance fold increase of CNVs among the offspring, implying greater genomic integrity and a putative mechanism for longevity preservation. Genomic regions that experienced loss or gains appear to be distributed across many sites in the genome and contain genes involved in DNA transcription, cellular transport, developmental pathways, and metabolic functions. Our findings suggest that the exceptional longevity observed in centenarians may be attributed to the prolonged maintenance of functionally important genes. These genes are intrinsic to specific genomic regions as well as to the overall integrity of the genomic architecture. Additionally, a strong association between longer CNVs and differential gene expression observed in this study supports the notion that genomic integrity could positively influence longevity.

Comparison of CcrM-dependent methylation in Caulobacter crescentus and Brucella abortus by nanopore sequencing.

Bacteria rely on DNA methylation for restriction-modification systems and epigenetic control of gene expression. Here, we use direct detection of methylated bases by nanopore sequencing to monitor global DNA methylation in Alphaproteobacteria, where use of this technique has not yet been reported. One representative of this order, Caulobacter crescentus, relies on DNA methylation to control cell cycle progression, but it is unclear whether other members of this order, such as Brucella abortus, depend on the same systems. We addressed these questions by first measuring CcrM-dependent DNA methylation in Caulobacter and showing excellent correlation between nanopore-based detection and previously published results. We then directly measure the impact of Lon-mediated CcrM degradation on the epigenome, verifying that loss of Lon results in pervasive methylation. We also show that the AlkB demethylase has no global impact on DNA methylation during normal growth. Next, we report on the global DNA methylation in B. abortus for the first time and find that CcrM-dependent methylation is reliant on Lon but impacts the two chromosomes differently. Finally, we explore the impact of the MucR transcription factor, known to compete with CcrM methylation, on the Brucella methylome and share the results with a publicly available visualization package. Our work demonstrates the utility of nanopore-based sequencing for epigenome measurements in Alphaproteobacteria and reveals new features of CcrM-dependent methylation in a zoonotic pathogen.IMPORTANCEDNA methylation plays an important role in bacteria, maintaining genome integrity and regulating gene expression. We used nanopore sequencing to directly measure methylated bases in Caulobacter crescentus and Brucella abortus. In Caulobacter, we showed that stabilization of the CcrM methyltransferase upon loss of the Lon protease results in prolific methylation and discovered that the putative methylase AlkB is unlikely to have a global physiological effect. We measured genome-wide methylation in Brucella for the first time, revealing a similar role for CcrM in cell-cycle methylation but a more complex regulation by the Lon protease than in Caulobacter. Finally, we show how the virulence factor MucR impacts DNA methylation patterns in Brucella.

Genomic Approaches for Enhancing Yield and Quality Traits in Mustard (Brassica spp.): A Review of Breeding Strategies

Mustard, a vital oilseed crop, plays a significant role in global agriculture due to its versatile applications in food, feed, and biofuel industries. However, meeting the increasing demands for yield and quality traits poses a substantial challenge to mustard breeders. In response, genomic approaches have emerged as powerful tools to expedite mustard breeding programs by unraveling the genetic basis of key agronomic traits. This review provides a comprehensive overview of genomic strategies aimed at enhancing yield and quality traits in mustard. Beginning with an exploration of traditional breeding methods and their limitations, we delve into the advancements in genomics, including next-generation sequencing technologies, marker-assisted selection (MAS), and genome editing techniques. We discuss how these tools are leveraged to identify yield-related genes, quantitative trait loci (QTLs), and markers for efficient trait selection. Furthermore, we examine genomic approaches for improving oil content, nutritional profiles, and phytochemical composition, crucial for enhancing mustard quality. Case studies demonstrating the successful integration of genomics into breeding programs are highlighted, along with discussions on challenges such as regulatory concerns and technical hurdles. Finally, we outline future directions and the potential of genomic approaches to revolutionize mustard breeding, paving the way for sustainable crop improvement. This study offers valuable insights into the application of genomics in mustard breeding and underscores its importance in addressing the evolving needs of agriculture in the 21st century.

Cryo-EM structure of the Rev1-Polζ holocomplex reveals the mechanism of their cooperativity in translesion DNA synthesis.

Rev1-Polζ-dependent translesion synthesis (TLS) of DNA is crucial for maintaining genome integrity. To elucidate the mechanism by which the two polymerases cooperate in TLS, we determined the cryogenic electron microscopic structure of the Saccharomyces cerevisiae Rev1-Polζ holocomplex in the act of DNA synthesis (3.53 Å). We discovered that a composite N-helix-BRCT module in Rev1 is the keystone of Rev1-Polζ cooperativity, interacting directly with the DNA template-primer and with the Rev3 catalytic subunit of Polζ. The module is positioned akin to the polymerase-associated domain in Y-family TLS polymerases and is set ideally to interact with PCNA. We delineate the full extent of interactions that the carboxy-terminal domain of Rev1 makes with Polζ and identify potential new druggable sites to suppress chemoresistance from first-line chemotherapeutics. Collectively, our results provide fundamental new insights into the mechanism of cooperativity between Rev1 and Polζ in TLS.

Structure-specific nucleases in genome dynamics and strategies for targeting cancers.

Nucleases are a super family of enzymes that hydrolyze phosphodiester bonds present in genomes. They widely vary in substrates, causing differentiation in cleavage patterns and having a diversified role in maintaining genetic material. Through cellular evolution of prokaryotic to eukaryotic, nucleases become structure-specific in recognizing its own or foreign genomic DNA/RNA configurations as its substrates, including flaps, bubbles, and Holliday junctions. These special structural configurations are commonly found as intermediates in processes like DNA replication, repair, and recombination. The structure-specific nature and diversified functions make them essential to maintaining genome integrity and evolution in normal and cancer cells. In this article, we review their roles in various pathways, including Okazaki fragment maturation during DNA replication, end resection in homology-directed recombination repair of DNA double-strand breaks, DNA excision repair and apoptosis DNA fragmentation in response to exogeneous DNA damage, and HIV life cycle. As the nucleases serve as key points for the DNA dynamics, cellular apoptosis, and cancer cell survival pathways, we discuss the efforts in the field in developing the therapeutic regimens, taking advantage of recently available knowledge of their diversified structures and functions.

A toolbox to engineer the highly productive cyanobacterium Synechococcus sp. PCC 11901.

Synechococcus sp. PCC 11901 (PCC 11901) is a fast-growing marine cyanobacterial strain that has a capacity for sustained biomass accumulation to very high cell densities, comparable to that achieved by commercially relevant heterotrophic organisms. However, genetic tools to engineer PCC 11901 for biotechnology applications are limited. Here we describe a suite of tools based on the CyanoGate MoClo system to unlock the engineering potential of PCC 11901. First, we characterised neutral sites suitable for stable genomic integration that do not affect growth even at high cell densities. Second, we tested a suite of constitutive promoters, terminators, and inducible promoters including a 2,4-diacetylphloroglucinol (DAPG)-inducible PhlF repressor system, which has not previously been demonstrated in cyanobacteria, and showed tight regulation and a 228-fold dynamic range of induction. Lastly, we developed a DAPG-inducible dCas9-based CRISPR interference (CRISPRi) system and a modular method to generate markerless mutants using CRISPR-Cas12a. Based on our findings, PCC 11901 is highly responsive to CRISPRi-based repression and showed high efficiencies for single insertion (31-81%) and multiplex double insertion (25%) genome editing with Cas12a. We envision that these tools will lay the foundations for the adoption of PCC 11901 as a robust model strain for engineering biology and green biotechnology.

Abstract GS03-04: Novel Mechanisms of CDH1 Inactivation in Breast Invasive Lobular Carcinoma Unveiled by the Integration of Artificial Intelligence and Genomics

Abstract Background: Invasive lobular carcinoma (ILC) of the breast is the second most common histologic subtype of breast cancer (BC), following invasive ductal carcinoma of no special type (IDC-NST). The hallmark histologic feature of ILC is cellular discohesiveness, the result of bi-allelic inactivation of CDH1, and represents an important genotypic-phenotypic correlation in BC. Although most ILCs harbor CDH1 loss-of function mutations associated to loss-of-heterozygosity (LOH) of the wild type-allele, a subset of ILCs lack these alterations despite displaying a typical lobular phenotype. Here, we sought to identify alternative molecular mechanisms converging on CDH1 inactivation by employing an integrative artificial intelligence (AI) and genomics approach. Materials and Methods: A genomics-driven AI-based algorithm using hematoxylin and eosin (H&amp;E) whole slide images (WSIs) as input, previously developed to detect bi-allelic CDH1 mutations (inactivating mutation associated to LOH) in BC was employed. WSIs of 1,057 BCs including ILCs (n=187) and non-lobular BCs (n=870) previously subjected to FDA-cleared tumor/normal targeted sequencing were subjected to analysis with the AI-based algorithm. Cases predicted to harbor CDH1 bi-allelic mutations by the AI-model but lacking CDH1 bi-allelic mutations by targeted sequencing were assessed through targeted sequencing data re-analysis, CDH1 gene promoter methylation evaluation and/or whole genome sequencing analysis. Results: AI-based analysis WSIs corresponding to 1,057 BCs resulted in the identification of 34 cases found to lack CDH1 bi-allelic mutations by targeted sequencing but predicted to harbor these genetic alterations by the AI-based model. CDH1 gene promoter methylation assessment revealed CDH1 promoter methylation in 18 cases. Targeted sequencing data reanalysis revealed other genetic mechanisms of CDH1 inactivation including CDH1 homozygous deletions (n=3), intragenic deletion with LOH (n=1), and likely pathogenic non-coding CDH1 alterations associated with LOH (n=2). WGS analysis of an ILC revealed a novel deleterious CDH1 fusion stemming from translocation t(13;16), resulting in loss of the 5’UTR, transcription start site and exons 1 and 2 of CDH1, associated with complete loss of E-cadherin protein expression. Taken together, we identified alternative/novel mechanisms of bi-allelic CDH1inactivation in 74% (25/34) cases analyzed. Conclusions: By applying an AI-based algorithm trained to detect a genetic alteration (i.e., CDH1 bi-allelic mutations), we were able to identify alternative epigenetic and genetic molecular mechanisms of CDH1 inactivation in ILCs, including novel non-coding CDH1 genetic alterations and a new inactivating CDH1 fusion gene. These findings indicate that molecular mechanisms affecting a single gene or process converging on the same phenotype can be unveiled by the integration of AI and genomics, highlighting the robustness of this approach for the discovery of novel biology. Citation Format: Fresia Pareja, Higinio Dopeso, Yikan Wang, Andrea Gazzo, David Brown, Pier Selenica, Jan Bernhard, Fatemeh Derakhshan, Edaise M. da Silva, Lorraine Colon-Cartagena, Thais Basili, Antonio Marra, Jillian Sue, Qiqi Ye, Arnaud Da Cruz Paula, Selma Yeni, Xin Pei, Hunter Green, Kaitlyn Gill, Yingjie Zhu, Matthew Lee, Ran Godrich, Adam Casson, Britta Weigelt, Nadeem Riaz, Hanna Y Wen, Edi Brogi, Matthew Hanna, Diana Mandelker, Jeremy Kunz, Brandon Rothrock, Sarat Chandarlapaty, Christopher Kanan, Gerard Oakley III, David Klimstra, Thomas Fuchs, Jorge Reis-Filho. Novel Mechanisms of CDH1 Inactivation in Breast Invasive Lobular Carcinoma Unveiled by the Integration of Artificial Intelligence and Genomics [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr GS03-04.

BRCA1 safeguards genome integrity by activating chromosome asynapsis checkpoint to eliminate recombination-defective oocytes

In the meiotic prophase, programmed DNA double-strand breaks are repaired by meiotic recombination. Recombination-defective meiocytes are eliminated to preserve genome integrity in gametes. BRCA1 is a critical protein in somatic homologous recombination, but studies have suggested that BRCA1 is dispensable for meiotic recombination. Here we show that BRCA1 is essential for meiotic recombination. Interestingly, BRCA1 also has a function in eliminating recombination-defective oocytes. Brca1 knockout (KO) rescues the survival of Dmc1 KO oocytes far more efficiently than removing CHK2, a vital component of the DNA damage checkpoint in oocytes. Mechanistically, BRCA1 activates chromosome asynapsis checkpoint by promoting ATR activity at unsynapsed chromosome axes in Dmc1 KO oocytes. Moreover, Brca1 KO also rescues the survival of asynaptic Spo11 KO oocytes. Collectively, our study not only unveils an unappreciated role of chromosome asynapsis in eliminating recombination-defective oocytes but also reveals the dual functions of BRCA1 in safeguarding oocyte genome integrity.

Abstract PO4-25-04: MHC Class I and II Expression, Functional Tertiary Lymphoid Structure (TLS), and Outcomes in Early-Stage HER2-Positive (HER2+) Breast Cancer in NCCTG N9831 (Alliance)

Abstract Background: Tertiary lymphoid structure (TLS) is an organized form of ectopic lymphoid aggregates (LA) with secondary lymphoid organ structure. Several studies showed that the presence of TLS associates with improved outcomes in multiple cancers when treated with immune checkpoint inhibitors. However, data is currently limited regarding TLS and outcomes in HER2+ breast cancer patients (pts) treated with adjuvant trastuzumab. Furthermore, distinguishing TLS and simple LA is challenging in standard hematoxylin and eosin (H&amp;E) staining, particularly when the germinal center is absent. Emerging studies also showed the prognostic value of MHC expression in breast cancer but mainly in triple-negative breast cancer. In this study, we evaluated integrated pathological quantification and genomic data to assess functional TLS in association with MHC expression and outcomes in the N9831 trial. Methods: Pathological evaluation of LA in H&amp;E slides from pts treated in Arm A (chemotherapy alone) and Arm C (chemotherapy with concurrent trastuzumab) in N9831 was performed. NanoString was used to quantify mRNA of MHC class I and II expression as well as TLS-related immune genes, including IFNG, ICOSLG, CXCL13, CXCR3, BCL6, IL21R, ICOS, PDCD1, CXCR5, CXCL9, TBX21, CD38, CXCL10, CLXCL11, IL21, CD200, CD19, MS4S1. Wilcoxon rank sum test, Chi-squared test, Kaplan-Meier method, and Cox regression model were used to evaluate the association between LA and baseline characteristics, MHC expression, and outcomes. Results: LA was evaluated in 526 pts in Arm A and 485 in Arm C. Greater number of LA was significantly associated with stromal tumor-infiltrating lymphocytes (sTILs), hormone receptor negative, and higher tumor grade, but not stage and age. Using multivariable Cox regression analysis, increasing numbers of LA were associated with improved recurrence-free survival in both arms combined (RFS, p 0.028). However, when evaluating each arm separately, LA was associated with improved RFS only in Arm A (HR 0.6, 95%CI 0.43-0.84, p 0.003) but not in Arm C (HR 0.72, 95%CI 0.47-1.1, p 0.134). We further evaluated TLS-related immune genes in 252 pts in Arm C with LA ≥ 1. As a continuous variable, higher expression of BCL6 (HR 0.61, 95%CI 0.41-0.92, p 0.019) and IL21R (HR 0.78, 95%CI 0.62-0.98, p 0.03) were associated with improved RFS in Arm C pts with LA ≥ 1. However, these genes were not significantly associated with outcomes in Arm C pts without LA with BCL6 (HR1.07, 95%CI 0.67-1.71, p 0.776) and IL21R (HR 0.96, 95%CI 0.71-1.29, p 0.775). Moreover, we evaluated differential gene expression between tumors with LA ≥ 1 with high BCL6 vs. LA 0. All MHC class I and II (HLA A, B, C, E, DQ, DM, DO, DP, and DQ) were significantly higher in tumors with LA ≥ 1 with high BCL6 (p &amp;lt; 0.001). Conclusion: A greater number of LA was associated with improved outcomes in pts with early-stage HER2+ breast cancer, particularly when treated with chemotherapy alone. Using histologic and genomic integration with the combination of pathological LA and TLS-related immune genes, we identified that pts with functional TLS with LA ≥ 1 and higher expression of BCL6 or IL21R had significantly improved outcomes when treated with trastuzumab. High MHC class I and II expressions are associated with the presence of functional TLS, underscoring the crucial role of antigen presentation in the generation of an effective adaptive immune response. Support: U10 CA180821, U10 CA180882, U24 CA196171, https://acknowledgments.alliancefound.org; Genentech; Clinicaltrials.gov Id: NCT00005970 Citation Format: Saranya Chumsri, Tracy Shachner, Zhuo Li, Nadine Norton, Alvaro Moreno-Aspitia, Gerardo Colon-Otero, Edith Perez, Aziza Nassar, E. Thompson, Keith Knutson. MHC Class I and II Expression, Functional Tertiary Lymphoid Structure (TLS), and Outcomes in Early-Stage HER2-Positive (HER2+) Breast Cancer in NCCTG N9831 (Alliance) [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-25-04.

Genomic, climatic, and cultural diversity of maize landraces from the Himalayan Kingdom of Bhutan

Societal Impact StatementBhutan is an ancient kingdom in the Himalayan range and one of the most rugged, geodiverse, and mountainous agricultural countries in the world. Historically secluded and geographically isolated, Bhutan is a hotspot for Himalayan agrobiodiversity where small‐scale agriculture supports the livelihoods of a large share of the resident population. Here, Bhutanese maize agrobiodiversity is explored to unlock its adaptation potential using genomics and participatory variety selection in combination with climate research. We show that Bhutanese traditional farmers maintain a wealth of diversity that may support the sustainable intensification of maize cropping in the Himalayas and beyond.Summary Bhutan, an ancient kingdom enshrouded in the Himalayas, hosts largely untapped agrobiodiversity that may harness genetic variation useful for adaptation to local climates and user needs. Here, we genotyped‐by‐sequencing 351 pooled samples of local maize (Zea mays L.) landraces, the entire collection of the Bhutan National Gene Bank, comparing their genomic diversity with maize from other countries in the Himalayan range. We reconstructed the adaptation of Bhutanese maize to historical and projected climates, identifying areas of future maladaptation. We then run a common garden experiment involving local smallholder farmers in a participatory evaluation of landraces' performance, aiming at the identification of quantitative trait nucleotides (QTNs) contributing to adaptation, performance, and farmers' choice. We found that Bhutanese maize agrobiodiversity is unique in the Himalayan range, and a locus on Chromosome 5 supports the differentiation of three distinct genetic clusters. We found that a portion of current genomic diversity can be associated with the Bhutanese landscape and that maize cultivation in the southwest of the country may be negatively impacted by projected climates. We also found that Bhutanese maize agrobiodiversity is large and may contribute to adaptation and improvement. A genome‐wide association study identified 117 QTNs for climatic adaptation, agronomic performance, and farmers' preferences. Our results show that Bhutanese maize landraces are a unique source of genetic agrobiodiversity for local adaptation. We found that the integration of genomics, climate science, and participatory methods can speed up the identification of genetic factors contributing to the sustainable intensification of maize cultivation in the Himalayas and beyond.

Ubiquitin-mediated regulation of APE2 protein abundance

APE2 plays important roles in the maintenance of genomic and epigenomic stability including DNA repair and DNA damage response. Accumulating evidence has suggested that APE2 is upregulated in multiple cancers at the protein and mRNA levels, and that APE2 upregulation is correlative with higher and lower overall survival of cancer patients depending on tumor type. However, it remains unknown how APE2 protein abundance is maintained and regulated in cells. Here, we provide the first evidence of APE2 regulation via the post-translational modification (PTM) Ubiquitin. APE2 is poly-ubiquitinated via K48-linked chains and degraded via the Ubiquitin-Proteasome system where K371 is the key residue within APE2 responsible for its ubiquitination and degradation. We further characterize MKRN3 as the E3 ubiquitin ligase for APE2 ubiquitination in cells and in vitro. In summary, this study offers the first definition of the APE2 proteostasis network and lays the foundation for future studies pertaining to the PTM regulation and functions of APE2 in genome integrity and cancer etiology/treatment.

Wielding a double-edged sword: viruses exploit host DNA repair systems to facilitate replication while bypassing immune activation

Viruses are obligate intracellular pathogens that hijack a myriad of host cell processes to facilitate replication and suppress host antiviral defenses. In its essence, a virus is a segment of foreign nucleic acid that engages host cell machinery to drive viral genome replication, gene transcription, and protein synthesis to generate progeny virions. Because of this, host organisms have developed sophisticated detection systems that activate antiviral defenses following recognition of aberrant nucleic acids. For example, recognition of viral nucleic acids by host DNA repair proteins results in compromised viral genome integrity, induction of antiviral inflammatory programs, cell cycle arrest, and apoptosis. Unsurprisingly, diverse viral families have evolved multiple strategies that fine-tune host DNA repair responses to suppress activation of antiviral defenses while simultaneously hijacking DNA repair proteins to facilitate virus replication. This review summarizes common molecular strategies viruses deploy to exploit host DNA repair mechanisms.

A global phosphosite-correlated network map of Thousand And One Kinase 1 (TAOK1)

Thousand and one amino acid kinase 1 (TAOK1) is a sterile 20 family Serine/Threonine kinase linked to microtubule dynamics, checkpoint signaling, DNA damage response, and neurological functions. Molecular-level alterations of TAOK1 have been associated with neurodevelopment disorders and cancers. Despite their known involvement in physiological and pathophysiological processes, and as a core member of the hippo signaling pathway, the phosphoregulatory network of TAOK1 has not been visualized. Aimed to explore this network, we first analyzed the predominantly detected and differentially regulated TAOK1 phosphosites in global phosphoproteome datasets across diverse experimental conditions. Based on 709 qualitative and 210 quantitative differential cellular phosphoproteome datasets that were systematically assembled, we identified that phosphorylation at Ser421, Ser9, Ser965, and Ser445 predominantly represented TAOK1 in almost 75% of these datasets. Surprisingly, the functional role of all these phosphosites in TAOK1 remains unexplored. Hence, we employed a robust strategy to extract the phosphosites in proteins that significantly correlated in expression with predominant TAOK1 phosphosites. This led to the first categorization of the phosphosites including those in the currently known and predicted interactors, kinases, and substrates, that positively/negatively correlated with the expression status of each predominant TAOK1 phosphosites. Subsequently, we also analyzed the phosphosites in core proteins of the hippo signaling pathway. Based on the TAOK1 phosphoregulatory network analysis, we inferred the potential role of the predominant TAOK1 phosphosites. Especially, we propose pSer9 as an autophosphorylation and TAOK1 kinase activity-associated phosphosite and pS421, the most frequently detected phosphosite in TAOK1, as a significant regulatory phosphosite involved in the maintenance of genome integrity. Considering that the impact of all phosphosites that predominantly represent each kinase is essential for the efficient interpretation of global phosphoproteome datasets, we believe that the approach undertaken in this study is suitable to be extended to other kinases for accelerated research.

E3 ubiquitin ligase RNF2 protects polymerase ι from destabilization

Human DNA polymerase ι (Polι) belongs to the Y-family of specialized DNA polymerases engaged in the DNA damage tolerance pathway of translesion DNA synthesis that is crucial to the maintenance of genome integrity. The extreme infidelity of Polι and the fact that both its up- and down-regulation correlate with various cancers indicate that Polι expression and access to the replication fork should be strictly controlled. Here, we identify RNF2, an E3 ubiquitin ligase, as a new interacting partner of Polι that is responsible for Polι stabilization in vivo. Interestingly, while we report that RNF2 does not directly ubiquitinate Polι, inhibition of the E3 ubiquitin ligase activity of RNF2 affects the cellular level of Polι thereby protecting it from destabilization. Additionally, we indicate that this mechanism is more general, as DNA polymerase η, another Y-family polymerase and the closest paralogue of Polι, share similar features.

SNP-SVant: A Computational Workflow to Predict and Annotate Genomic Variants in Organisms Lacking Benchmarked Variants.

Whole-genome sequencing is widely used to investigate population genomic variation in organisms of interest. Assorted tools have been independently developed to call variants from short-read sequencing data aligned to a reference genome, including single nucleotide polymorphisms (SNPs) and structural variations (SVs). We developed SNP-SVant, an integrated, flexible, and computationally efficient bioinformatic workflow that predicts high-confidence SNPs and SVs in organisms without benchmarked variants, which are traditionally used for distinguishing sequencing errors from real variants. In the absence of these benchmarked datasets, we leverage multiple rounds of statistical recalibration to increase the precision of variant prediction. The SNP-SVant workflow is flexible, with user options to tradeoff accuracy for sensitivity. The workflow predicts SNPs and small insertions and deletions using the Genome Analysis ToolKit (GATK) and predicts SVs using the Genome Rearrangement IDentification Software Suite (GRIDSS), and it culminates in variant annotation using custom scripts. A key utility of SNP-SVant is its scalability. Variant calling is a computationally expensive procedure, and thus, SNP-SVant uses a workflow management system with intermediary checkpoint steps to ensure efficient use of resources by minimizing redundant computations and omitting steps where dependent files are available. SNP-SVant also provides metrics to assess the quality of called variants and converts between VCF and aligned FASTA format outputs to ensure compatibility with downstream tools to calculate selection statistics, which are commonplace in population genomics studies. By accounting for both small and large structural variants, users of this workflow can obtain a wide-ranging view of genomic alterations in an organism of interest. Overall, this workflow advances our capabilities in assessing the functional consequences of different types of genomic alterations, ultimately improving our ability to associate genotypes with phenotypes. © 2024 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol: Predicting single nucleotide polymorphisms and structural variations Support Protocol 1: Downloading publicly available sequencing data Support Protocol 2: Visualizing variant loci using Integrated Genome Viewer Support Protocol 3: Converting between VCF and aligned FASTA formats.

Studying tomato brown rugose fruit virus longevity in soil and virion susceptibility to pH treatments helped improve virus control by soil disinfection

Abstract Background and aims Tobamoviruses are highly stable soil-borne pathogens posing a challenge to a monoculture practice. Biochemical and physical properties of tobamovirus virions were studied by analyses of tobacco mosaic virus (TMV). Little is known about tomato brown rugose fruit tobamovirus (ToBRFV) regarding longevity in soil and virion stability. Our aims were to determine ToBRFV longevity in naturally-contaminated soil and study virion stability in a range of acidic and alkaline conditions to promote new strategies for soil remediation. Methods ToBRFV longevity in naturally-contaminated soil was tested by collecting an earth pile after a growth-cycle of ToBRFV-infected tomato plants. The soil was sampled at different time points and root-truncated tomato seedlings were planted. Virion stability at a range of pH values was determined by testing virus infectivity on Nicotiana glutinosa; by amplifying large genome segments using RT-PCR; and by transmission electron microscopy (TEM) visualization. Results ToBRFV-infectivity in naturally-contaminated soil was profoundly reduced by day 184 of pile-age and was abolished between 205 and 385 days of pile-age. Virion stability and genome integrity were preserved over the pH range of 2-10. At pH 1, ToBRFV-infectivity and efficiency of large genome segment amplifications were reduced. At pH values above 10, modified particle morphologies were visualized by TEM, and virus infectivity was abolished. Treatment of ToBRFV-contaminated soil with an alkaline chlorinated-trisodium phosphate solution profoundly reduced soil-mediated virus infection of root-truncated tomato seedlings. Conclusions pH values above 10 compromised ToBRFV particle morphology, genome integrity, and virus infectivity. An alkaline disinfectant enhanced soil remediation following natural ToBRFV contamination.