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education

Primary literature analysis | Long COVID

A full module exploring proteomics and long COVID through a scaffolded, in-depth analysis of a primary literature article

resource type / 
Module
topic / 
Immunology
published / February 10, 2026
audience / 
Graduate
Undergraduate
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contributors

Rachel Penton
Education and Engagement Supervisor
Madison Meuler
Education and Engagement Specialist II
Troy Torgerson
Director, Experimental Immunology

Module Overview

Topic: Immunology

Audience: Advanced undergraduate students, introductory graduate students

Resource type: Full module, CREATE Method

Module outline: 12 lessons over ~ 4 weeks

Primary literature analyzed: Persistent serum protein signatures define an inflammatory subcategory of long COVID by Talla et al. (2023)

CREATE Method:

This 4-week module uses the CREATE method (Hoskins et al., 2007) to walk students through a scaffolded approach to reading Persistent serum protein signatures define an inflammatory subcategory of long COVID by Talla et al. (2023). Rather than read the paper in its entirety all at once, students walk through the paper section-by-section, completing worksheets and discussing with their peers along the way.

Throughout the module, students analyze the following methods:

  • Olink proteomics for the detection of 1500+ proteins in participant serum samples
  • Proximity Extension Analysis (PEA)
  • Next Generation Sequencing (NGS)
  • ELISAs
  • K-means clustering
  • Validation of results with an independent open dataset
A screenshot of the first page of the Talla et al. 2023 article.

More Information

Module Timeline

This module consists of 12 lessons. We encourage you to remix and customize these lessons to fit the needs of your course. See the instructor guide for more details about alternative ways to teach this module, including abridged versions. Several lessons contain worksheets for students to walk through different sections of the paper.

A table showing the activities and topics of each lesson of the module.

Data Analysis Sheets (DAS): For each figure in the paper, students are asked to complete a data analysis sheet. These worksheets ask students specific questions about the figure and their interpretation of the data. Some questions featured within DAS worksheets include:

  • What is your simplified, decoded, in regular language title for this figure?
  • What is the specific hypothesis being tested, or specific question being asked in the experiment represented in panel A?
  • Do you think that the data in panel B support a difference in RBD IgG between the groups? Provide evidence for why or why not.

Methods Worksheets: This module contains two methods worksheets where students are asked in-depth questions about the methods used in the paper. Some examples include:They measured analytes from inflammation, oncology, cardiometabolic, and neurology panels. What is a “panel” and how do these different panels differ from one another?

  • They measured analytes from inflammation, oncology, cardiometabolic, and neurology panels. What is a “panel” and how do these different panels differ from one another?
  • The paper states: “Protein expression values were first normalized across wells using an internal extension control (IgG antibodies conjugated with a matching oligo pair).  Draw a cartoon of IgG antibodies conjugated with a matching oligo pair.

Learning Goals

Vision & Change (2011):

Table listing the core concepts and core competencies from Vision and Change (2011) that are addressed in the module. This module addresses the core concepts of structure and function and information flow, exchange, and storage. It addresses the core competencies of the ability to apply the process of science and the ability to use quantitative reasoning.

ImmunoSkills Guide (2024):

Table listing the core competencies and illustrative skills from the Immuno Skills Guide (2024) that this module addresses.

Version History & Terms of Use

  • Last updated May 2025
  • Terms of use: This work is licensed under the Creative Commons Attribution-NonCommercial–ShareAlike 4.0 International (CC BY-NC-SA 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/.

Materials

  • Instructor Guide
  • Slide decks (with discussion prompts and embedded polling questions)
  • Student worksheets
  • Example Learning Management Services (LMS) pages for each lesson
  • Note: See the Instructor guide for alternative approaches to teaching the module, including abridged versions

CREATE Method:

This 4-week module uses the CREATE method (Hoskins et al., 2007) to walk students through a scaffolded approach to reading Persistent serum protein signatures define an inflammatory subcategory of long COVID by Talla et al. (2023). Rather than read the paper in its entirety all at once, students walk through the paper section-by-section, completing worksheets and discussing with their peers along the way.

Throughout the module, students analyze the following methods:

  • Olink proteomics for the detection of 1500+ proteins in participant serum samples
  • Proximity Extension Analysis (PEA)
  • Next Generation Sequencing (NGS)
  • ELISAs
  • K-means clustering
  • Validation of results with an independent open dataset
A screenshot of the first page of the Talla et al. 2023 article.

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