The Serological Sciences Network, or SeroNet, has a serological sample collection derived from reference and longitudinal studies available by request to interested investigators.
Please use the form below to begin the sample request process. If approved, requestors are responsible for the cost of shipping. All approved requests will require a material transfer agreement (MTA) and report on sample use.
All samples were collected under IRB approved protocols from consenting participants. Redacted protocols and consent form content are available upon request.
Reference Study
The Reference Study supported development of the National SARS-CoV-2 Serology Standard, assay validation panels, and other controls.
Four SeroNet Capacity Building Centers collected large volume of sera and PBMCs (peripheral blood mononuclear cells) from 2020-2021 (prior to vaccine availability). They collected samples from unvaccinated individuals infected with SARS-CoV-2 and from unvaccinated, uninfected individuals.
The sample and data collection for the Reference Study includes:
- Aliquoted serum and limited vials of PBMCs at 106million cells per vial, typically at 1 mL
- Demographic and clinical data for 909 participants
- 53% female
- Age range from 15 to 80 years old
- Detailed information on race and ethnicity
- Serology results for SARS-CoV-2 and other infectious diseases
Sample testing
We tested samples for SARS-CoV-2 infection and antibody levels through a rigorous process that tested each sample for IgG and IgM antibodies against the SARS-CoV-2 spike and nucleocapsid proteins.
- Capacity Building Centers tested all samples for SARS-CoV-2 seropositivity using different immunoassays
- The Frederick National Laboratory COVID-19 Serology Laboratory tested samples using an ELISA assay
- Two external laboratories performed additional confirmatory testing
Email SeroNetCoordinatingCenter@nih.gov for questions and inquiries.
SARS-COV-2 SeroPositivity
- 67% spike IgG
- 11% spike IgM
- 33% nucleocapsid IgG
- 16% nucleocapsid IgM
Seropositivity for other infections
- 95% EBV
- 47% CMV
- 98% seasonal coronavirus
Data availability
SeroNet is leveraging ImmPort, a sustainable immunological data warehouse from the National Institute of Allergy and Infectious Diseases, for public sharing of SeroNet data.
The Reference Study data is available in ImmPort under SDY2656. You may also contact SeroNetCoordinatingCenter@nih.gov for access to AWS QuickSight, a dynamic filtering and visualization tool for sample selection or for assistance in identifying samples of interest.
Use the form below to request standardized assay panels.
Longitudinal Study
The Longitudinal Serosurveillance Study aimed to understand the immune responses to COVID-19 vaccination and SARS-CoV-2 infection.
Between 2021 and 2024, four SeroNet Capacity Building Centers collected samples from 3,284 participants, including healthy and immunocompromised populations.
The study collected demographic and clinical data for all participants.
Demographic data summary
- 61% female
- 67% white
- Age range 0 to 89 years old
Cohorts
- 1,879 participants in the general population
- 51% in Comorbidity Cohort (with one or more reported comorbidities or chronic conditions)
- 49% in Health Cohort (with no reported comorbidities or chronic conditions)
The Capacity Building Centers collected more detailed information from participants in select cohorts (e.g. time of diagnosis, treatment).
Number of participants in select cohorts
- 741 in Cancer Cohort
- 170 in Irritable Bowel Disease Cohort
- 187 in HIV Cohort
- 307 in Transplant Recipient Cohort
Study visits, vaccination data
- Average 4.7 visits per participant
- Collection timepoints strategically aligned for before and after vaccine administration or infection
- 30, 60, 90, 120, 180 and 360 days
- Vaccination status ranged from unvaccinated to vaccinated with homologous and heterologous primary series and booster doses.
Data availability
The Longitudinal Study data is publicly available through ImmPort, study SDY2931.
For access to the AWS QuickSight tool, a dynamic filtering and visualization tool for sample selection, or for assistance in identifying samples of interest, you may contact SeroNetCoordinatingCenter@nih.gov.
Use the form below to start the sample request process.