Tutorial: design, production and testing of oncolytic viruses for cancer immunotherapy.

Oncolytic viruses (OVs) represent a novel class of cancer immunotherapy agents that preferentially infect and kill cancer cells and promote protective antitumor immunity. Furthermore, OVs can be used in combination with established or upcoming immunotherapeutic agents, especially immune checkpoint inhibitors, to efficiently target a wide range of malignancies. The development of OV-based therapy involves three major steps before clinical evaluation: design, production and preclinical testing. OVs can be designed as natural or engineered strains and subsequently selected for their ability to kill a broad spectrum of cancer cells rather than normal, healthy cells. OV selection is further influenced by multiple factors, such as the availability of a specific viral platform, cancer cell permissivity, the need for genetic engineering to render the virus non-pathogenic and/or more effective and logistical considerations around the use of OVs within the laboratory or clinical setting. Selected OVs are then produced and tested for their anticancer potential by using syngeneic, xenograft or humanized preclinical models wherein immunocompromised and immunocompetent setups are used to elucidate their direct oncolytic ability as well as indirect immunotherapeutic potential in vivo. Finally, OVs demonstrating the desired anticancer potential progress toward translation in patients with cancer. This tutorial provides guidelines for the design, production and preclinical testing of OVs, emphasizing considerations specific to OV technology that determine their clinical utility as cancer immunotherapy agents.

Contralateral prophylactic mastectomy in a rural population: A single-institution experience.

Background: The incidence of contralateral prophylactic mastectomy (CPM) for unilateral breast cancer (UBC) has continued to increase, despite an absent survival benefit except in populations at highest risk for developing contralateral breast cancer (CBC). CPM rates may be higher in rural populations but causes remain unclear. A study performed at our institution previously found that 21.8 % of patients with UBC underwent CPM from 2000 to 2009. This study aimed to evaluate the CPM trend at a single institution serving a rural population and identify the CPM rate in average-risk patients. Methods: Retrospective review of patients who underwent mastectomies for UBC at our institution from 2017 to 2021 was performed. Analysis utilized frequencies and percentages, descriptive statistics, chi-square, and independent sample t-tests. Results: A total of 438 patients were included, of whom 64.4 % underwent bilateral mastectomy for UBC (CPM). Patients who underwent CPM were significantly younger, underwent genetic testing, had germline pathogenic variants, had a family history of breast cancer, had smaller tumors, underwent reconstruction, and had more wound infections. Of CPM patients, 50.4 % had no identifiable factors for increased risk of developing CBC. Conclusions: The rate of CPM in a rural population at a single institution increased from 21.8 % to 64.4 % over two decades, with an average-risk CPM rate of 50.4 %. Those that undergo CPM are more likely to undergo reconstruction and have more wound infections. Identifying characteristics of patients undergoing CPM in a rural population and the increased associated risks allows for a better understanding of this trend to guide conversations with patients. Key message: This study demonstrates that the rate of contralateral prophylactic mastectomy for unilateral breast cancers performed at a single institution serving a largely rural population has nearly tripled over the last two decades, with half of these patients having no factors that increase the risk for developing contralateral breast cancers. Contralateral prophylactic mastectomy was significantly associated with smaller tumors, younger age, genetic testing, germline pathogenic variants, family history of breast cancer, breast reconstruction, and increased wound infections.

SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method.

With the rapid spread and evolution of SARS-CoV-2, the ability to monitor its transmission and distinguish among viral lineages is critical for pandemic response efforts. The most commonly used software for the lineage assignment of newly isolated SARS-CoV-2 genomes is pangolin, which offers two methods of assignment, pangoLEARN and pUShER. PangoLEARN rapidly assigns lineages using a machine-learning algorithm, while pUShER performs a phylogenetic placement to identify the lineage corresponding to a newly sequenced genome. In a preliminary study, we observed that pangoLEARN (decision tree model), while substantially faster than pUShER, offered less consistency across different versions of pangolin v3. Here, we expand upon this analysis to include v3 and v4 of pangolin, which moved the default algorithm for lineage assignment from pangoLEARN in v3 to pUShER in v4, and perform a thorough analysis confirming that pUShER is not only more stable across versions but also more accurate. Our findings suggest that future lineage assignment algorithms for various pathogens should consider the value of phylogenetic placement.

Greenhouse gas emissions associated with suboptimal asthma care in the UK: the SABINA healthCARe-Based envirONmental cost of treatment (CARBON) study.

BACKGROUND: Poorly controlled asthma is associated with increased morbidity and healthcare resource utilisation (HCRU). Therefore, to quantify the environmental impact of asthma care, this retrospective, cohort, healthCARe-Based envirONmental cost of treatment (CARBON) study estimated greenhouse gas (GHG) emissions in the UK associated with the management of well-controlled versus poorly controlled asthma. METHODS: Patients with current asthma (aged ≥12 years) registered with the Clinical Practice Research Datalink (2008‒2019) were included. GHG emissions, measured as carbon dioxide equivalent (CO2e), were estimated for asthma-related medication use, HCRU and exacerbations during follow-up of patients with asthma classified at baseline as well-controlled (<3 short-acting ß2-agonist (SABA) canisters/year and no exacerbations) or poorly controlled (≥3 SABA canisters/year or ≥1 exacerbation). Excess GHG emissions due to suboptimal asthma control included ≥3 SABA canister prescriptions/year, exacerbations and any general practitioner and outpatient visits within 10 days of hospitalisation or an emergency department visit. RESULTS: Of the 236 506 patients analysed, 47.3% had poorly controlled asthma at baseline. Scaled to the national level, the overall carbon footprint of asthma care in the UK was 750 540 tonnes CO2e/year, with poorly controlled asthma contributing excess GHG emissions of 303 874 tonnes CO2e/year, which is equivalent to emissions from >124 000 houses in the UK. Poorly controlled versus well-controlled asthma generated 3.1-fold higher overall and 8.1-fold higher excess per capita carbon footprint, largely SABA-induced, with smaller contributions from HCRU. CONCLUSIONS: These findings suggest that addressing the high burden of poorly controlled asthma, including curbing high SABA use and its associated risk of exacerbations, may significantly alleviate asthma care-related carbon emissions.

Nuclear to cytoplasmic transport is a druggable dependency in MYC-driven hepatocellular carcinoma.

The MYC oncogene is often dysregulated in human cancer, including hepatocellular carcinoma (HCC). MYC is considered undruggable to date. Here, we comprehensively identify genes essential for survival of MYChigh but not MYClow cells by a CRISPR/Cas9 genome-wide screen in a MYC-conditional HCC model. Our screen uncovers novel MYC synthetic lethal (MYC-SL) interactions and identifies most MYC-SL genes described previously. In particular, the screen reveals nucleocytoplasmic transport to be a MYC-SL interaction. We show that the majority of MYC-SL nucleocytoplasmic transport genes are upregulated in MYChigh murine HCC and are associated with poor survival in HCC patients. Inhibiting Exportin-1 (XPO1) in vivo induces marked tumor regression in an autochthonous MYC-transgenic HCC model and inhibits tumor growth in HCC patient-derived xenografts. XPO1 expression is associated with poor prognosis only in HCC patients with high MYC activity. We infer that MYC may generally regulate and require altered expression of nucleocytoplasmic transport genes for tumorigenesis.

Implementation of an electronic health record-integrated instant messaging system in an academic health system.

OBJECTIVES: Effective communication amongst healthcare workers simultaneously promotes optimal patient outcomes when present and is deleterious to outcomes when absent. The advent of electronic health record (EHR)-embedded secure instantaneous messaging systems has provided a new conduit for provider communication. This manuscript describes the experience of one academic medical center with deployment of one such system (Secure Chat). METHODS: Data were collected on Secure Chat message volume from June 2017 to April 2023. Significant perideployment events were reviewed chronologically. RESULTS: After the first coronavirus disease 2019 lockdown in March 2020, messaging use increased by over 25 000 messages per month, with 1.2 million messages sent monthly by April 2023. Comparative features of current communication modalities in healthcare were summarized, highlighting the many advantages of Secure Chat. CONCLUSIONS: While EHR-embedded secure instantaneous messaging systems represent a novel and potentially valuable communication medium in healthcare, generally agreed-upon best practices for their implementation are, as of yet, undetermined.

Quality of Care at the End of Life: Applying the Intersection of Race and Gender.

BACKGROUND AND OBJECTIVES: Research on racial and gender disparities in end-of-life care quality has burgeoned over the past few decades, but few studies have incorporated the theory of intersectionality, which posits that membership in 2 or more vulnerable groups may result in increased hardships across the life span. As such, this study aimed to examine the intersectional effect of race and gender on the quality of care received at the end of life among older adults. RESEARCH DESIGN AND METHODS: Data were derived from the combined Round 3 to Round 10 of the National Health and Aging Trends Study. For multivariate analyses, 2 logistic regression models were run; Model 1 included the main effects of race and gender and Model 2 included an interaction term for race and gender. RESULTS: Results revealed that White men were the most likely to have excellent or good care at the end of life, followed by White women, Black men, and Black women, who were the least likely to have excellent or good care at the end of life. DISCUSSION AND IMPLICATIONS: These results point to a significant disadvantage for Black women, who had worse end-of-life care quality than their gender and racial peers. Practice interventions may include cultural humility training and a cultural match between patients and providers. From a policy standpoint, a universal health insurance plan would reduce the gap in end-of-life service access and quality for Black women, who are less likely to have supplemental health care coverage.

Any Questions? Understanding the Functional Health Literacy in Patients Who Underwent Ureteroscopy.

OBJECTIVE: To correlate health literacy of patients undergoing ureteroscopy and identify gaps within current patient education practices in order to better tailor the preoperative experience. METHODS: Eighteen patients were retrospectively recruited to complete an in-depth semistructured interview and the Test of Functional Health Literacy for Adults (TOFHLA). All interviews were recorded, transcribed, and then coded and analyzed using the grounded theory of analysis. RESULTS: The average participant age was 56.2 ± 12.8years, and 10 (55.6%) identified as female. Education level ranged from some high school to a professional degree. The average TOFHLA score was 88.1 ± 11.7. Irrespective of score, all participants felt they understood the purpose and basic elements of a ureteroscopy. The use of nontechnical language, repetition, and previous healthcare experiences were identified as positive aspects of the education experience. However, 72.2% (n = 13) identified the primary gap in understanding revolved around the use, purpose, and pain associated with stents. CONCLUSION: Functional health literacy is an essential element, but not the only factor informing patient education and comprehension. Current practices are effective in explaining the basics of a ureteroscopy, but even when identified health literacy is higher than expected, a gap remains in stent education. Efforts should be made to better understand how stents can be effectively explained to patients in addition to continuing to refine education practices to elicit true comprehension.

Facile Fabrication of "Tacky", Stretchable, and Aligned Carbon Nanotube Sheet-Based Electronics for On-Skin Health Monitoring.

Point-of-care monitoring of physiological signals such as electrocardiogram, electromyogram, and electroencephalogram is essential for prompt disease diagnosis and quick treatment, which can be realized through advanced skin-worn electronics. However, it is still challenging to design an intimate and nonrestrictive skin-contact device for physiological measurements with high fidelity and artifact tolerance. This research presents a facile method using a "tacky" surface to produce a tight interface between the ACNT skin-like electronic and the skin. The method provides the skin-worn electronic with a stretchability of up to 70% strain, greater than that of most common epidermal electrodes. Low-density ACNT bundles facilitate the infiltration of adhesive and improve the conformal contact between the ACNT sheet and the skin, while dense ACNT bundles lessen this effect. The stretchability and conformal contact allow the ACNT sheet-based electronics to create a tight interface with the skin, which enables the high-fidelity measurement of physiological signals (the Pearson's coefficient of 0.98) and tolerance for motion artifacts. In addition, our method allows the use of degradable substrates to enable reusability and degradability of the electronics based on ACNT sheets, integrating "green" properties into on-skin electronics.

Implementation of California COVIDNet - a multi-sector collaboration for statewide SARS-CoV-2 genomic surveillance.

Introduction: The SARS-CoV-2 pandemic represented a formidable scientific and technological challenge to public health due to its rapid spread and evolution. To meet these challenges and to characterize the virus over time, the State of California established the California SARS-CoV-2 Whole Genome Sequencing (WGS) Initiative, or "California COVIDNet". This initiative constituted an unprecedented multi-sector collaborative effort to achieve large-scale genomic surveillance of SARS-CoV-2 across California to monitor the spread of variants within the state, to detect new and emerging variants, and to characterize outbreaks in congregate, workplace, and other settings. Methods: California COVIDNet consists of 50 laboratory partners that include public health laboratories, private clinical diagnostic laboratories, and academic sequencing facilities as well as expert advisors, scientists, consultants, and contractors. Data management, sample sourcing and processing, and computational infrastructure were major challenges that had to be resolved in the midst of the pandemic chaos in order to conduct SARS-CoV-2 genomic surveillance. Data management, storage, and analytics needs were addressed with both conventional database applications and newer cloud-based data solutions, which also fulfilled computational requirements. Results: Representative and randomly selected samples were sourced from state-sponsored community testing sites. Since March of 2021, California COVIDNet partners have contributed more than 450,000 SARS-CoV-2 genomes sequenced from remnant samples from both molecular and antigen tests. Combined with genomes from CDC-contracted WGS labs, there are currently nearly 800,000 genomes from all 61 local health jurisdictions (LHJs) in California in the COVIDNet sequence database. More than 5% of all reported positive tests in the state have been sequenced, with similar rates of sequencing across 5 major geographic regions in the state. Discussion: Implementation of California COVIDNet revealed challenges and limitations in the public health system. These were overcome by engaging in novel partnerships that established a successful genomic surveillance program which provided valuable data to inform the COVID-19 public health response in California. Significantly, California COVIDNet has provided a foundational data framework and computational infrastructure needed to respond to future public health crises.

A T cell-targeted multi-antigen vaccine generates robust cellular and humoral immunity against SARS-CoV-2 infection.

SARS-CoV-2, the etiological agent behind the coronavirus disease 2019 (COVID-19) pandemic, has continued to mutate and create new variants with increased resistance against the WHO-approved spike-based vaccines. With a significant portion of the worldwide population still unvaccinated and with waning immunity against newly emerging variants, there is a pressing need to develop novel vaccines that provide broader and longer-lasting protection. To generate broader protective immunity against COVID-19, we developed our second-generation vaccinia virus-based COVID-19 vaccine, TOH-VAC-2, encoded with modified versions of the spike (S) and nucleocapsid (N) proteins as well as a unique poly-epitope antigen that contains immunodominant T cell epitopes from seven different SARS-CoV-2 proteins. We show that the poly-epitope antigen restimulates T cells from the PBMCs of individuals formerly infected with SARS-CoV-2. In mice, TOH-VAC-2 vaccination produces high titers of S- and N-specific antibodies and generates robust T cell immunity against S, N, and poly-epitope antigens. The immunity generated from TOH-VAC-2 is also capable of protecting mice from heterologous challenge with recombinant VSV viruses that express the same SARS-CoV-2 antigens. Altogether, these findings demonstrate the effectiveness of our versatile vaccine platform as an alternative or complementary approach to current vaccines.

Surface coverage dynamics for reversible dissociative adsorption on finite linear lattices.

Dissociative adsorption onto a surface introduces dynamic correlations between neighboring sites not found in non-dissociative absorption. We study surface coverage dynamics where reversible dissociative adsorption of dimers occurs on a finite linear lattice. We derive analytic expressions for the equilibrium surface coverage as a function of the number of reactive sites, N, and the ratio of the adsorption and desorption rates. Using these results, we characterize the finite size effect on the equilibrium surface coverage. For comparable N's, the finite size effect is significantly larger when N is even than when N is odd. Moreover, as N increases, the size effect decays more slowly in the even case than in the odd case. The finite-size effect becomes significant when adsorption and desorption rates are considerably different. These finite-size effects are related to the number of accessible configurations in a finite system where the odd-even dependence arises from the limited number of accessible configurations in the even case. We confirm our analytical results with kinetic Monte Carlo simulations. We also analyze the surface-diffusion case where adsorbed atoms can hop into neighboring sites. As expected, the odd-even dependence disappears because more configurations are accessible in the even case due to surface diffusion.

Greenhouse Gas Emissions from Respiratory Treatments: Results from the SABA CARBON International Study.

INTRODUCTION: Healthcare systems are looking to reduce their carbon impact. Short-acting ß2-agonist (SABA) overuse (≥ 3 canisters/year) is common in asthma and linked to poor outcomes; however, its environmental impact remains unknown. As part of the CARBON programme, this study retrospectively quantified the carbon footprint of SABA and controller inhalers across all respiratory indications and SABA overuse in asthma in lower-middle-income countries (LMICs), upper-middle-income countries and high-income countries across Africa, Asia Pacific, Latin America and the Middle East. METHODS: Two data sources were utilised to evaluate the carbon contribution of inhalers to respiratory care. To quantify greenhouse gas (GHG) emissions associated with total inhaler use across all respiratory indications, inhaler sales data were obtained from IQVIA MIDAS® (Q4/2018-Q3/2019) and compared by dose to prevent confounding from differences in canister actuation counts. GHG emissions associated with SABA overuse in asthma were evaluated using prescription and self-reported over-the-counter purchase data from the SABA use IN Asthma (SABINA) III study (2019-2020). Inhaler-related GHG emissions were quantified using published data and product life cycle assessments. RESULTS: SABA accounted for > 50% of total inhaler use and inhaler-related emissions in most countries analysed. The total SABA-related emissions were estimated at 2.7 million tonnes carbon dioxide equivalents, accounting for 70% of total inhaler-related emissions. Among the countries, regions and economies analysed, per capita SABA use and associated emissions were higher in Australia, the Middle East and high-income countries. Most SABA prescriptions for asthma (> 90%) were given to patients already overusing SABA. CONCLUSIONS: Globally, SABA use/overuse is widespread and is the greatest contributor to the carbon footprint of respiratory treatment, regardless of the economic status of countries. Implementing evidence-based treatment recommendations, personalising treatment and reducing healthcare inequities, especially in LMICs, may improve disease control and patient outcomes, thereby reducing SABA overuse and associated carbon emissions beyond SABA use alone.

The healthcare sector is a large emitter of greenhouse gases (GHGs); therefore, healthcare systems will need to reduce their carbon footprint to meet their carbon reduction targets. In respiratory care, the environmental impact of controller inhalers has received considerable attention due to the global warming potential of the propellants used in metered-dose inhalers. In contrast, little is known about the contribution made by short-acting ß₂-agonist (SABA) relievers globally, which are often the only inhaled medication used by many patients with milder asthma. The SABA use IN Asthma (SABINA) programme reported that SABA overuse (3 or more SABA canisters/year) is common and associated with an increased risk of asthma attacks. Since all inhalers have a carbon footprint, SABA overuse may result in an avoidable excess carbon footprint. Therefore, to provide a complete picture of the carbon footprint of respiratory care, we examined the contribution of SABA relievers and their potential overuse. The total SABA-related GHG emissions accounted for 70% of total inhaler-related GHG emissions, and > 90% of prescriptions for SABA relievers for asthma were given to patients who were already overusing their SABA. Overall, SABA use/overuse is commonly observed worldwide and is likely a significant contributor to the carbon footprint of respiratory treatment. Therefore, there is an urgent need for healthcare providers to follow the latest international treatment guidelines to reduce high SABA use in respiratory care and improve patient outcomes. This, in turn, will enable healthcare systems to reduce their carbon footprint from both treatment and patient interactions.

Comparison of coagulation parameters associated with fibrinogen concentrate and cryoprecipitate for treatment of bleeding in patients undergoing cytoreductive surgery for pseudomyxoma peritonei: Subanalysis from a randomized, controlled phase 2 study.

Background and Aims: The FORMA-05 study compared the efficacy and safety of human fibrinogen concentrate (HFC) versus cryoprecipitate for hemostasis in bleeding patients undergoing cytoreductive surgery for pseudomyxoma peritonei (PMP). This subanalysis explores coagulation parameters in the FORMA-05 patients, with a focus on the seven patients who developed thromboembolic events (TEEs). Methods: FORMA-05 was a prospective, randomized, controlled phase 2 study in which patients with predicted blood loss ≥2 L received HFC (4 g) or cryoprecipitate (two pools of five units), repeated as needed. Plasma fibrinogen, platelet count, factor (F) XIII, FVIII, von Willebrand Factor (VWF) antigen and ristocetin cofactor activity levels, EXTEM A20, FIBTEM A20, and endogenous thrombin potential (ETP) were measured perioperatively. Results: Fibrinogen, platelet count, EXTEM and FIBTEM A20, FXIII, FVIII, VWF levels, and ETP were maintained throughout surgery in both the HFC group (N = 21) and the cryoprecipitate group (N = 23). Seven TEEs were observed in the cryoprecipitate group. The two patients developing deep vein thromboses (DVT) appeared to have a procoagulant status preoperatively, with distinctively higher fibrinogen level, FIBTEM A20, and platelet levels, all of which persisted perioperatively. The five patients developing pulmonary embolism (PE) had slightly higher VWF levels preoperatively, with a disproportionate increase intraoperatively (postcryoprecipitate administration) and postoperatively. Conclusions: Patients treated with HFC versus cryoprecipitate showed broad overlaps in coagulation parameters. Patients with PE experienced a disproportionate VWF rise following cryoprecipitate administration, whereas patients developing DVT displayed a procoagulant status before and following surgery. Preoperative testing may allow these patients to be identified.

Enhanced Photovoltaic Effect in n-3C-SiC/p-Si Heterostructure Using a Temperature Gradient for Microsensors.

The development of fifth-generation (5G) communications and the Internet of Things (IoT) has created a need for high-performance sensing networks and sensors. Improving the sensitivity and reducing the energy consumption of these sensors can improve the performance of the sensing network and conserve energy. This paper reports a large enhancement of the photovoltaic effect in a 3C-SiC/Si heterostructure and the tunability of the photovoltage under the impact of a temperature gradient, which has the potential to increase the sensitivity and reduce the energy consumption of microsensors. To start with, cubic silicon carbide (3C-SiC) was grown on a silicon wafer, and a micro-3C-SiC/Si heterostructure device was then fabricated using standard photolithography. The result revealed that the sensor could either capture light energy, transform it into electrical energy for self-power purposes, or detect light with intensities of 1.6 and 4 mW/cm2. Under the impact of the temperature gradient induced by conduction heat transfer from a heater, the measured photovoltage was improved. This thermo-phototronic coupling enhanced the photovoltage up to 51% at a temperature gradient of 8.73 K and light intensity of 4 mW/cm2. Additionally, the enhancement can be tuned by controlling the direction of the temperature gradient and the temperature difference. These findings indicate the promise of the temperature gradient in SiC/Si heterostructures for developing high-performance temperature sensors and self-powered photodetectors.

Fluctuating hydrodynamics and the Rayleigh-Plateau instability.

The Rayleigh-Plateau instability occurs when surface tension makes a fluid column become unstable to small perturbations. At nanometer scales, thermal fluctuations are comparable to interfacial energy densities. Consequently, at these scales, thermal fluctuations play a significant role in the dynamics of the instability. These microscopic effects have previously been investigated numerically using particle-based simulations, such as molecular dynamics (MD), and stochastic partial differential equation-based hydrodynamic models, such as stochastic lubrication theory. In this paper, we present an incompressible fluctuating hydrodynamics model with a diffuse-interface formulation for binary fluid mixtures designed for the study of stochastic interfacial phenomena. An efficient numerical algorithm is outlined and validated in numerical simulations of stable equilibrium interfaces. We present results from simulations of the Rayleigh-Plateau instability for long cylinders pinching into droplets for Ohnesorge numbers of Oh = 0.5 and 5.0. Both stochastic and perturbed deterministic simulations are analyzed and ensemble results show significant differences in the temporal evolution of the minimum radius near pinching. Short cylinders, with lengths less than their circumference, were also investigated. As previously observed in MD simulations, we find that thermal fluctuations cause these to pinch in cases where a perturbed cylinder would be stable deterministically. Finally, we show that the fluctuating hydrodynamics model can be applied to study a broader range of surface tension-driven phenomena.

Pathogen genomics in public health laboratories: successes, challenges, and lessons learned from California's SARS-CoV-2 Whole-Genome Sequencing Initiative, California COVIDNet.

The capacity for pathogen genomics in public health expanded rapidly during the coronavirus disease 2019 (COVID-19) pandemic, but many public health laboratories did not have the infrastructure in place to handle the vast amount of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequence data generated. The California Department of Public Health, in partnership with Theiagen Genomics, was an early adopter of cloud-based resources for bioinformatics and genomic epidemiology, resulting in the creation of a SARS-CoV-2 genomic surveillance system that combined the efforts of more than 40 sequencing laboratories across government, academia and industry to form California COVIDNet, California's SARS-CoV-2 Whole-Genome Sequencing Initiative. Open-source bioinformatics workflows, ongoing training sessions for the public health workforce, and automated data transfer to visualization tools all contributed to the success of California COVIDNet. While challenges remain for public health genomic surveillance worldwide, California COVIDNet serves as a framework for a scaled and successful bioinformatics infrastructure that has expanded beyond SARS-CoV-2 to other pathogens of public health importance.