The UC Davis Proteomics Core lab offers state-of-the-art LC-MS/MS analysis, including protein identification, proteomics profiling, targeted proteomics, and post-translational modification analysis, for both on- and off-campus clients. Samples run include plasma/serum, tissues, cell culture/pellets, plant material, powder, and more. CUSTOMER ADVANCE SKU # 34XXX Lit. # PL-CS31510

Article Link : https://rdcu.be/e011L Abstract: Wastewater-based surveillance offers a cost-effective, population-level complement to clinical testing for early detection of infectious disease outbreaks; however, its adoption in low- and middle-income countries remains limited. We conducted a study in Kampala, Uganda, to quantify SARS-CoV-2 RNA in wastewater and evaluate its association with reported clinical cases, thereby strengthening community-level surveillance strategies. Methods: From March 2023 to May 2024, 244 wastewater samples were collected weekly from four wastewater treatment plants in the Kampala Metropolitan Area, Uganda. SARS-CoV-2 RNA was quantified by RT-qPCR targeting the ORF1ab, N, and E genes using the Novel Coronavirus (2019-nCoV) Real-Time Multiplex RT-PCR kit, with PMMoV as the process control. Concordance of gene detection was assessed using Cohen’s kappa and the proportion of samples in which all targets were detected. SARS-CoV-2 viral concentrations were reported as log₁₀ genomic copies per 100 mL. Facility-level weekly mean ORF1ab concentrations were aggregated into citywide medians and correlated with clinical positivity, with lead–lag analyses to evaluate spatiotemporal associations. Results: Overall SARS-CoV-2 RNA detection was 88.5%, with higher positivity at the Nakivubo wastewater treatment plant inlets (1 and 2) and the Naalya wastewater stabilization pond (both 93.4%) than at the Bugolobi fecal sludge treatment plant (78.7%). All 3 gene targets were detected in 66.4% of samples, with stronger concordance between ORF1ab and E than between ORF1ab and N (κ = 0.68), and facility-specific variability in three-gene detection ranged from 57.4% to 70.5%. Wastewater viral dynamics were characterized by episodic surges rather than sustained peaks, with ORF1ab concentrations ranging from 2.97 to 11.87 log₁₀ GC/100 mL. While same-week wastewater–clinical correlations were weak, lead–lag analysis showed wastewater signals preceded clinical positivity by 2–5 weeks, with the strongest association at a 4-week lead. Conclusion: WBS provided early warning of SARS-CoV-2 transmission in Kampala, with clinical positivity preceded by up to 1 month. These findings support the integration of WBS into routine surveillance to enhance outbreak preparedness and response, particularly in resource-limited settings, and to inform public health decision-making. Besides COVID-19, WBS can also track multiple infectious diseases by detecting covert transmission patterns and predicting clinical trends. Nsawotebba, A., Nabadda, S., Ssewanyana, I. et al. Wastewater-based surveillance as a proactive public health tool: insights from SARS-CoV-2 monitoring in Kampala, Uganda (2023–2024). BMC Public Health (2026). https://doi.org/10.1186/s12889-026-26267-x

Quantitative and discovery plasma proteomics requires workflows that maximize protein identifications while minimizing variability and cost. The Nanotrap® Protein Enrichment Affinity Discovery Kit (Nanotrap® Discovery Kit) delivers highly reproducible, deep proteome coverage while reducing per-sample cost compared to other enrichment kits. In This Experiment We evaluated whether the manual Nanotrap Discovery Kit enhances proteome coverage and depth while improving workflow reproducibility in human plasma samples compared to two alternative commercial enrichment kits and unenriched plasma using a standard digestion workflow and Bruker timsTOF HT (dia-PASEF®) analysis.   TECH NOTE SKU # 34XXX Lit. # PL-TN31481

Nanotrap® Microbiome Particles are an affinity-bait-based capture system with afinite binding capacity. In complex matrices such as wastewater, the binding is also dependent on the sample matrix, and recovery does not scale uniformly with increasing affinity baits on Nanotrap Particle surfaces. 1  Binding analyses with protein analytes have shown complex changes in recovery based on target accessibility and interaction dynamics with hydrogel particles, rather than simple saturation dynamics. 1   In this study, the interplay of different spikedin organisms was analyzed to determine the effect of varying concentrations of microbes on the detection of other microbial targets within a wastewater matrix. The effect of different background viral and bacterial concentrations were analyzed for patterns that show a bias associated with microbial concentrations. POSTER SKU 44XXX Literature # WW-PO31518

Wastewater-based surveillance of respiratory pathogens is challenging due to low target abundance and complex sample matrices. This study demonstrates that Nanotrap® Microbiome Particles can enhance native pathogen recovery and detection sensitivity from influent wastewater, enabling more comprehensive monitoring of respiratory disease circulation in communities. In This Experiment Recovery and sensitivity using the Nanotrap® Microbiome Workflows were evaluated relative to conventional precipitation and ultrafiltration methods. Four wastewater concentration methods were compared for detecting respiratory pathogens using the Truemark™ Respiratory Panel 2.0 on TaqMan™ Array Cards. TECH NOTE SKU 44XXX, 65XXX, 10113 Literature # WW-TN31482

Nanotrap® Microbiome Particles are widely used in wastewater surveillance to capture and concentrate microbial pathogens, enhancing the sensitivity and reliability of pathogen detection. This approach enables effective monitoring of microbes, providing valuable insights for public health initiatives. Following the concentration step, efficient nucleic acid extraction is critical to ensure the recovery of high-quality RNA and DNA for downstream molecular applications. The MagMAX™ Wastewater Ultra Nucleic Acid Isolation Kit is an updated version of the MagMAX™ Microbiome Ultra Nucleic Acid Isolation Kit. The MagMAX Wastewater Ultra Nucleic Acid Isolation Kit protocol includes updates to reagent volumes, temperature conditions, and protocol steps, with key changes occurring in the binding and wash steps, completely removing Wash Step 3. The removal of Wash Step 3 results in time savings of approximately 5 minutes. The updated MagMAX protocol does not include reagents for bead beating. In this technical note, we show that the updated MagMAX Wastewater Ultra Nucleic Acid Isolation Kit protocol yields similar results to the MagMAX™ Microbiome Ultra Nucleic Acid Kit. TECH NOTE SKU 44XXX, 65XXX Literature # WW-TN31410

One of the challenges of working with cell-free DNA (cfDNA) is its small size. cfDNA fragments tend to be 167 bp or multiples thereof, and traditional bead-based DNA extraction methods are less efficient at capturing small-size DNA. Traditional DNA extraction methods have a lower fragment size cutoff of ~50 bp, and the yield is typically lower as the fragment size gets closer to 50 bp. This study will compare the recovery of different extraction methods in this size range and use transplant patient DNA as a case study, as DNA fragments from transplanted organs are typically smaller than standard cfDNA and within the 80-120 bp fragment size range.(1) When transplant patients receive a new organ, it must be monitored for organ health, and the standard of care is typically an organ biopsy. Several studies have looked at using cfDNA biomarkers to monitor the health of the transplanted organ since a blood draw is less invasive than a biopsy; healthy organs release less cfDNA than failing organs, and this can be measured by observing changes in the ratio of alleles at a site of genetic difference between the donor and host. Differentiation of host and donor DNA can also be difficult; several studies have shown single nucleotide polymorphisms (SNPs) that vary across populations and may provide a site for differences in host and donor genomes. We utilized PCR assays designed by Kokelj et al. (2021)(2) to evaluate the workflow's ability to capture and concentrate both spiked cfDNA and transplant patient cfDNA as proof of concept for the detection of these biomarkers from donor organ plasma. APP NOTE SKU 77XXX Literature # PL-AN31415

While eliminated in the United States, rubella virus remains an endemic threat in many countries globally, with five of six WHO regions establishing rubella elimination goals. Nanotrap® Microbiome A Particles offer an automated method for non-invasive surveillance of the virus, allowing health officials to access risk and further the goal of elimination within endemic areas. In This Experiment The Nanotrap Microbiome A Particles were evaluated for efficient capture of rubella virus spiked into 10 mL wastewater samples at a range of concentrations. TECH NOTE SKU 44XXX Literature # WW-TN31509

Article Link: https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1675080/full#h1 Abstract: Foodborne enteric infections are a major public health and economical burden, yet their surveillance often relies on latent indicators that delay containment efforts by several days and weeks. Conversely, whole metagenome shotgun sequencing of communal wastewater allows continuous monitoring of enteric pathogens. Spikes in abundance can be observed several weeks before the first case reports emerge. In addition, AI-driven social media mining, already in use for public opinion analytics, could be repurposed for predicting outbreaks at the community level by predicting the number of people experiencing symptoms in the population given their social media activity. Here we report how AI-driven community analytics and high-throughput long-read metagenomic surveillance of communal wastewater microbiota were combined to monitor non-typhoidal salmonellosis in Quebec City, Canada, from August 2023 to February 2024. Both approaches indicated similar fluctuations over time for: (i) people experiencing salmonellosis symptoms, and (ii) Salmonella enterica relative abundance in wastewater, with predicted cases leading metagenomic peaks by a week. Moreover, both approaches detected a maximum around September 13th, 2023, 5 weeks before a Salmonella food recall for the Quebec and Ontario provinces was made by the Public Health Agency of Canada. We therefore suggest that continuous AI-driven analytics and wastewater metagenomics mo nitoring could become part of a nationwide surveillance pipeline from the community scale to the molecular level. Gauthier J, Mohammadi S, Kukavica-Ibrulj I, Boyle B, Landgraff C, Goodridge L, White K, Chapman B and Levesque RC (2025) Leveraging artificial intelligence community analytics and nanopore metagenomic surveillance to monitor early enteropathogen outbreaks. Front. Public Health 13:1675080. doi: 10.3389/fpubh.2025.1675080

Our team partners with labs at every stage—from concept to confidence—to help accelerate scientific impact. Inside, you’ll find an overview of how we support researchers with: Customized laboratory design Product selection guidance Method development and implementation training Workflow optimization to boost performance and reproducibility You’ll also meet our incredible Field Applications team, who bring deep expertise across proteomics, liquid biopsy, infectious disease, extracellular vesicles, and more. Lit # GEN-FL31507

Mosquito-borne and waterborne pathogens such as arboviruses and Vibrio cholerae pose ongoing challenges for environmental and public health monitoring. Individual clinical testing is resource-intensive, logistically complex, and often limited by healthcare access or participation, resulting in an underestimation of asymptomatic infections.¹ Effective surveillance is essential for timely detection, outbreak prevention, and public health response. Wastewater-based epidemiology (WBE) has emerged as a promising approach for monitoring infectious diseases at the population level, yet its application to vector-borne pathogens remains underexplored. We evaluated Nanotrap® Microbiome Particles, magnetic hydrogel nanoparticles previously validated for capturing viruses and bacteria in environmental water and clinical specimens, for the capture and concentration of arboviruses and Vibrio cholerae from environmental water. POSTER SKU 44XXX Literature # WW-PO31485

Increasing interest in multi-omics profiling implicitly requires solutions that enable the analysis of the same biological sample by diverse techniques. Nanotrap® Particles provide complementary chemistries to selectively capture low-abundance analytes while removing high-abundance interferents in multiple contexts. Nanotrap® Protein Enrichment Affinity Kit (PEAK) enhances proteome depth by enriching low-abundance proteins and reducing albumin levels. Nanotrap® Extraction Advanced Technology (NEAT) Liquid Biopsy Kit isolates and concentrates cfDNA while minimizing genomic DNA contamination. Nanotrap® Extracellular Vesicle Particles enable effective enrichment of vesicle-associated biomarkers. The full suite of Nanotrap® Particle technology offers a flexible platform adaptable to multiple application areas across proteomics, genomics, extracellular vesicles (EVs), and infectious disease research. POSTER SKU # 34XXX Lit. # PL-PO31484