CD96 a new immunoregulatory molecule - molecular mechanisms
Lead Research Organisation:
UNIVERSITY COLLEGE LONDON
Department Name: Infection
Abstract
Background
Special white blood cells, called regulatory T cells (Tregs) normally keep the immune system in check: too much control lets cancer arise, while too little regulation leads to autoimmunity. Special molecules on the surface of cells, called co-receptors, can mediate and alter Treg function. Co-receptors that share the same ligand can trigger either an increase or decrease in the immune response. These co-receptors appear to be good drug targets to stop cancer and/or autoimmunity with some already in use clinically (CTLA-4, PD1), and others being developed.
One such co-receptor that does regulate the immune system is CD96, and we want to find out how it works. CD96 shares its ligand CD155 with the co-receptors CD226, which turns the immune response up, and TIGIT, which lowers the immune response. Tregs do express all three co-receptors, but we do not yet know how they dictate Treg function and how exactly CD96 regulates the whole pathway.
Hypothesis and Aims
We believe CD96 regulates the immune responses by controlling the ligand CD155 for the other co-receptors in the same family and we think this affects how Tregs work.
We will test this overall hypothesis with three main questions in our aims:
Aim 1: How does CD96 actively take CD155 into the cell?
Aim 2: What other molecules inside the cell work with CD96 for its action?
Aim 3: How does CD96 change Treg functions?
Experimental Plan
We will use continuously growing cell line models as well as cells from the blood of healthy people that we can modify to only express specific co-receptors.
We have some data that suggests that CD96 works by taking CD155 from other cells. We will generate cell lines that express CD96 and CD155 with fluorescent tags that glow when specific light is shone on them. That way we can see and follow how CD96 and CD155 interact and move around inside the cells by using a powerful confocal microscope, flow cytometry to evaluate many parameters on each cell at once and biochemical assays where we can pull out CD96 and proteins bound to it and then measure them. By changing parts of CD96 before functional tests, we can find out which part of CD96 is important for its functions. We will also look at how CD96 competes for CD155 binding and/or interacts with the other co-receptor family members CD226/TIGIT.
We will look for the proteins that bind to CD96 inside the cell after it has bound ligand to enable CD96 actions. We have some candidates that likely bind to CD96 inside the cell, but we will also screen for new proteins interacting with CD96 inside the cell after it has seen its ligand CD155.
We will use cutting edge techniques like CRISPR-Cas9 to take away CD96 (CD96 knockout) from healthy human Tregs to find out for what cell functions CD96 is necessary. We will test how this knockout changes the activation, proliferation and signalling of Tregs. Tregs can supress other T cells from dividing, thus we will test also whether CD96 influences this crucial Treg function. Since effector T cells can also express CD96, we will test them in parallel to look for CD96 actions that are Treg-specific and ones that are universal for cells expressing CD96.
Importance
The immune system is tightly regulated in health, but too much control leads to cancer and too little to autoimmunity. By understanding how the co-receptor CD96 regulates the immune system and how it affects Treg functions, we will be able to harness that knowledge in the future to design new drugs targeting the co-receptor to treat cancer and/or autoimmunity.
Special white blood cells, called regulatory T cells (Tregs) normally keep the immune system in check: too much control lets cancer arise, while too little regulation leads to autoimmunity. Special molecules on the surface of cells, called co-receptors, can mediate and alter Treg function. Co-receptors that share the same ligand can trigger either an increase or decrease in the immune response. These co-receptors appear to be good drug targets to stop cancer and/or autoimmunity with some already in use clinically (CTLA-4, PD1), and others being developed.
One such co-receptor that does regulate the immune system is CD96, and we want to find out how it works. CD96 shares its ligand CD155 with the co-receptors CD226, which turns the immune response up, and TIGIT, which lowers the immune response. Tregs do express all three co-receptors, but we do not yet know how they dictate Treg function and how exactly CD96 regulates the whole pathway.
Hypothesis and Aims
We believe CD96 regulates the immune responses by controlling the ligand CD155 for the other co-receptors in the same family and we think this affects how Tregs work.
We will test this overall hypothesis with three main questions in our aims:
Aim 1: How does CD96 actively take CD155 into the cell?
Aim 2: What other molecules inside the cell work with CD96 for its action?
Aim 3: How does CD96 change Treg functions?
Experimental Plan
We will use continuously growing cell line models as well as cells from the blood of healthy people that we can modify to only express specific co-receptors.
We have some data that suggests that CD96 works by taking CD155 from other cells. We will generate cell lines that express CD96 and CD155 with fluorescent tags that glow when specific light is shone on them. That way we can see and follow how CD96 and CD155 interact and move around inside the cells by using a powerful confocal microscope, flow cytometry to evaluate many parameters on each cell at once and biochemical assays where we can pull out CD96 and proteins bound to it and then measure them. By changing parts of CD96 before functional tests, we can find out which part of CD96 is important for its functions. We will also look at how CD96 competes for CD155 binding and/or interacts with the other co-receptor family members CD226/TIGIT.
We will look for the proteins that bind to CD96 inside the cell after it has bound ligand to enable CD96 actions. We have some candidates that likely bind to CD96 inside the cell, but we will also screen for new proteins interacting with CD96 inside the cell after it has seen its ligand CD155.
We will use cutting edge techniques like CRISPR-Cas9 to take away CD96 (CD96 knockout) from healthy human Tregs to find out for what cell functions CD96 is necessary. We will test how this knockout changes the activation, proliferation and signalling of Tregs. Tregs can supress other T cells from dividing, thus we will test also whether CD96 influences this crucial Treg function. Since effector T cells can also express CD96, we will test them in parallel to look for CD96 actions that are Treg-specific and ones that are universal for cells expressing CD96.
Importance
The immune system is tightly regulated in health, but too much control leads to cancer and too little to autoimmunity. By understanding how the co-receptor CD96 regulates the immune system and how it affects Treg functions, we will be able to harness that knowledge in the future to design new drugs targeting the co-receptor to treat cancer and/or autoimmunity.
Technical Summary
The immune system is tightly regulated to maintain immune homeostasis. Activating and inhibitory co-receptors with shared ligands are important in regulating lymphocyte activation and shaping regulatory T cell (Treg) functions to effect immune regulation. Here we focus on CD96, a novel immunoregulatory receptor, part of the co-receptor family with CD226 and TIGIT and the shared ligand CD155. Currently, it is unclear whether CD96 is inhibitory or activating, we suggest CD96 might function by taking up ligand and depleting it for CD226/TIGIT interaction.
We hypothesise that CD96 on Tregs acts as an important immune regulator of the CD155 ligand to maintain immune homeostasis and will focus on 3 independent, distinct aims:
Aim 1: How does CD96 regulate CD155 uptake?
Aim 2: Defining CD96 cytoplasmic domain interactions upon ligation.
Aim 3: Defining the physiological role of CD96 in Treg activation phenotype, proliferation and function.
We will use cell line models (Jurkat, DG75, CHO) engineered to express fluorescently tagged CD96, CD96 mutants or CD155, and primary human Tregs knocked out for CD96, CD226/TIGIT by CRISPR-Cas9. Co-culture assays, flow cytometry, confocal microscopy and biochemical approaches will be utilised throughout. We will test whether CD96 uses endocytosis to take up CD155 in an organised manner via AP-2 (Aim1). We will evaluate the interactome of CD96's cytoplasmic tail after CD155 interaction by western blotting and mass spectrometry (Aim2). The effect of CD96-CD155 interaction on Treg signalling, activation, proliferation and functionality (i.e. suppression) will be examined in comparison to effector T cells. The importance of competition and interaction with CD226/TIGIT will be tested (Aim3).
This work will increase our understanding of CD96's immunoregulatory potential, its role in Treg function, and the cellular and molecular mechanisms involved. This might ultimately lead to specific targeting to fight cancer or dampen autoimmunity.
We hypothesise that CD96 on Tregs acts as an important immune regulator of the CD155 ligand to maintain immune homeostasis and will focus on 3 independent, distinct aims:
Aim 1: How does CD96 regulate CD155 uptake?
Aim 2: Defining CD96 cytoplasmic domain interactions upon ligation.
Aim 3: Defining the physiological role of CD96 in Treg activation phenotype, proliferation and function.
We will use cell line models (Jurkat, DG75, CHO) engineered to express fluorescently tagged CD96, CD96 mutants or CD155, and primary human Tregs knocked out for CD96, CD226/TIGIT by CRISPR-Cas9. Co-culture assays, flow cytometry, confocal microscopy and biochemical approaches will be utilised throughout. We will test whether CD96 uses endocytosis to take up CD155 in an organised manner via AP-2 (Aim1). We will evaluate the interactome of CD96's cytoplasmic tail after CD155 interaction by western blotting and mass spectrometry (Aim2). The effect of CD96-CD155 interaction on Treg signalling, activation, proliferation and functionality (i.e. suppression) will be examined in comparison to effector T cells. The importance of competition and interaction with CD226/TIGIT will be tested (Aim3).
This work will increase our understanding of CD96's immunoregulatory potential, its role in Treg function, and the cellular and molecular mechanisms involved. This might ultimately lead to specific targeting to fight cancer or dampen autoimmunity.
Organisations
Publications
Attrill M
(2024)
The immune landscape of the inflamed joint defined by spectral flow cytometry
in Clinical and Experimental Immunology
Attrill M
(2025)
Treg fitness signatures as a biomarker for disease activity in Juvenile Idiopathic Arthritis
in Journal of Autoimmunity
Fox TA
(2022)
Therapeutic gene editing of T cells to correct CTLA-4 insufficiency.
in Science translational medicine
Kennedy A
(2022)
Differences in CD80 and CD86 transendocytosis reveal CD86 as a key target for CTLA-4 immune regulation.
in Nature immunology
| Description | The project "CD96 a new immunoregulatory molecule - molecular mechanisms" has progressed further. We have discovered a new mode of action for the co-receptor CD96 and are currently in process of defining more detailed mechanism. We have identified some differences and similarities between CD96 variants and cell types utilising CD96. We have achieved several of the award objectives with others currently ongoing, some had to be changed due to unavailability of reagents. We have started to put together a manuscript and are now working on the experiments we have identified as necessary evidence for publication of our findings. Moreover, we have started to present data at local, national and international conferences and seminars. We are also working on future funding application based on the results of this study and new questions that have arisen from this work. |
| Exploitation Route | We will add to the understanding of how CD96 functions in health and generate new datasets and materials (e.g. modified cell lines, plasmids) that will be made accessible upon publication of our findings in high impact peer reviewed journals. These materials, datasets, and new knowledge of CD96 mechanism can be utilised by us and other researchers to form new hypothesis, research questions and future funding applications. Moreover, the outcomes of this award are likely to affect how the co-receptor and ligand family are targeted for therapeutic purposes. |
| Sectors | Healthcare Pharmaceuticals and Medical Biotechnology Other |
| Description | We have presented data at local, national and international conferences and seminars, with good feedback and some interesting research questions that were raised have impacted our experimental objectives and future questions to be assessed in future funding applications. In confidential discussions with industry partners, we discussed our developed technologies, approaches and how our research findings might influence drug development. Moreover, our findings have led to further investigation of CD96 in different disease settings. Thus, we are already achieving impact in the scientific community, academic and industry, by increasing the understanding of how CD96 functions and how that might impact health, disease and therapeutic targeting. We are currently performing some final experiments and are putting together a manuscript for publication with which we expect further impact through of findings, datasets and technologies (e.g. modified cell lines, plasmids will be deposited once findings are published in peer-review journal), as well as future funding applications. |
| First Year Of Impact | 2022 |
| Sector | Healthcare,Pharmaceuticals and Medical Biotechnology,Other |
| Title | biomarker discovery pipeline for Treg signature plus in R |
| Description | Normalised data (see nanoString normalisation pipeline using total sum normalisation for R ) is log2-transformed and genes with detectable counts (>0) in fewer than 30 % of samples across all groups can be removed from further analysis to minimise effects driven by outliers before input into the biomarker pipeline, consisting of: Data from each group can be randomly split into similarly sized train and test sets. Leave one out cross validation (LOOCV) on the train dataset is used to determine optimal regularisation parameters of the elastic net model (alpha and lambda values) that maximise model accuracy. The importance of different genes is determined in model selection, ranked by frequency of each gene used to differentiate groups in each iteration (importance as %). Gene coefficients not equal to 0 in the final model are determined. Biomarker scores are generated from test datasets using fitted models, and classification performance is assessed via the area under the receiver operating characteristic curve (ROC AUC), as well as sensitivity and specificity at a cutoff score value as specified. Additional/separate test data sets can be inputted to generate biomarker scores and classification performance. This pipeline was utilised in "Treg fitness as a biomarker for disease activity in Juvenile Idiopathic Arthritis" by M. H. Attrill et al. 2025. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| Impact | a free biomarker discovery pipeline dividing datasets into train and test sets, using machine learning with elastic net regression and generation of biomarker scores and classification performance values for test sets. This pipeline can be used by researchers to analyse any normalised gene expression data, generate new hypothesis and/or underpin their research. |
| URL | https://github.com/PesenackerLab/Attrill-2024-Treg-JIA-biomarker-/blob/main/Pesenacker_Tregsig_bioma... |
| Title | nanoString gene expression data set of control and JIA PB and JIA SF Tregs and PB/SFMCs |
| Description | Raw and normalised gene expression data of of Peripheral blood (PB) and synovial fluid (SF) mononuclear cells (MC) and regulatory T cells (Tregs) from individuals with Juvenile Idiopathic Arthritis (JIA), and PBMCs and Tregs from healthy controls, using the 48-gene nanoString CodeSet Hu_TregsPlus (Pesenacker). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| Impact | a comprehensive profiling of Treg gene signature plus genes at mRNA level of JIA PBMC, SFMC and Tregs compared to healthy control samples. This dataset can be analysed by researchers to generate new hypothesis and/or underpin their research. |
| URL | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE289068 |
| Title | nanoString normalisation pipeline using total sum normalisation for R |
| Description | Positive control normalisation and total sum normalisation script, e.g. to a normalisation factor of 5000 counts, with zero counts remaining as zero even after transformation. In addition to standard nanoString QC metrics, positive control normalisation or total sum normalisation outside of set ranges will be flagged. This pipeline was utilised in "Treg fitness as a biomarker for disease activity in Juvenile Idiopathic Arthritis" by M. H. Attrill et al. 2025. |
| Type Of Material | Computer model/algorithm |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| Impact | a free normalisation pipeline of nanoString data using total RNA counts instead of putative housekeeping genes. This pipeline can be used by researchers to analyse any nanoString gene expression data, generate new hypothesis and/or underpin their research. |
| URL | https://github.com/PesenackerLab/Attrill-2024-Treg-JIA-biomarker-/blob/main/Pesenacker_Tregsig_nanos... |
| Title | spectral flow cytometry dataset of control and JIA PBMC and JIA SFMC |
| Description | Characterisation of Peripheral blood (PB) and synovial fluid (SF) mononuclear cells (MC) from individuals with Juvenile Idiopathic Arthritis (JIA), and PBMCs from healthy controls, using a 37-parameter panel for full spectrum flow cytometry. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| Impact | a comprehensive profiling of immune composition with detailed phenotype at protein level of JIA PBMC and SFMC compared to healthy control samples. This dataset can be analysed by researchers to generate new hypothesis and/or underpin their research. |
| URL | http://flowrepository.org/id/FR-FCM-Z6VC |
| Description | A magazine, newsletter or online publication - Community news Pears building |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | A short paragraph on the new BBSRC study investigating CD96 molecular and cellular immune regulatory functions distributed to recipients of the Pears newsletter as well as online on the associated website. The purpose was to inform about the new grant award and new study and new recruit. |
| Year(s) Of Engagement Activity | 2021 |
| Description | AstraZeneca visit at IIT |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Industry/Business |
| Results and Impact | I gave an overview of my research area and discussed potential strategic alignment, as well as networked with AstraZeneca representatives. |
| Year(s) Of Engagement Activity | 2023 |
| Description | External Seminar speaker at UCL GOS Institute of Child Health |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Other audiences |
| Results and Impact | I gave an external seminar presentation and Q&A (1h total) and held meetings with UCL GOS ICH investigators/students/researchers. This disseminated my research finding further across the scientific community and enhanced my standing as leader in the field. |
| Year(s) Of Engagement Activity | 2023 |
| Description | External Seminar speaker at University of Birmingham Institute of Immunology and Immunotherapy |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | I gave an external seminar presentation and Q&A (1h total) and held multiple meetings with UoB investigators/researchers including a student lunch. This disseminated my research finding further across the scientific community, enhanced my standing as leader in the field and initiated first discussion on future collaborations. |
| Year(s) Of Engagement Activity | 2023 |
| Description | External Seminar speaker at the Royal Veterinary College |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | I gave an external seminar presentation and Q&A (1h total) and held meetings with RVC investigators/researchers. This disseminated my research finding further across the scientific community and enhanced my standing as leader in the field. |
| Year(s) Of Engagement Activity | 2023 |
| Description | GSK visit at IIT |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | I gave an overview of my research area and discussed potential strategic alignment, as well as networked with GSK representatives. |
| Year(s) Of Engagement Activity | 2023 |
| Description | IIT school open day |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | The students attended talks from IIT researchers, including one session on immune regulation research by myself, and were involved in interactive stalls demonstrating various wet lab techniques , as well as immunology-related educational games. I presented to the students, took questions and interacted with them throughout the day. In addition my team was involved in one of the stalls which had various immunology-related games for students to participate in to learn more about basic immunology, research and vaccinations. School reported better understanding of immunological concepts and new enthusiasm with the subject |
| Year(s) Of Engagement Activity | 2019,2020,2022,2023 |
| URL | https://www.ucl.ac.uk/immunity-transplantation/news/2019/jul/iit-welcomes-students-annual-schools-op... |
| Description | Internal seminar in person and virtual over teams |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | Internal seminar to update on progress of all ongoing studies in the Pesenacker lab |
| Year(s) Of Engagement Activity | 2022 |
| Description | Invited Speaker at FOCIS European Advanced Course and Conference on Immunology, Normandy (F) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | I gave an invited talk and Q&A about our research at FOCIS European Advanced Course and Conference on Immunology, Normandy (F).Moreover, i took part in networking breaks, poster session and social engagement interacting with participating students/researchers as well as other research leaders. This disseminated my research finding further across the scientific community, enhanced my standing as leader in the field, grew my network and inspired postgraduate students/fellows in their research journey. |
| Year(s) Of Engagement Activity | 2023 |
| URL | https://focis2023normandy.univ-rouen.fr/index.php |
| Description | Meeting with a high school student and family |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | A meeting with a 13-year old student and his parent who is interested in immuneregulation and autoimmunity, who was hosted by Dr Leo Swadling and Rosetrees Trust. my postdoctoral fellow DS discussed with the student what we do in the lab and what it's like to be an immunologist and work in academia. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Sanofi visit to the IIT. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Industry/Business |
| Results and Impact | I gave an talk with Q&A and participate in discussions with group and department leads of Sanofi. This disseminated my research expertise and area to Sanofi and was the first step to potential future collaboration. |
| Year(s) Of Engagement Activity | 2023 |
| Description | invitation to speak at UCL- IFRec Osaka University - Immunology Frontier research Center network |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | I presented my work, engaged with participants and took an active part in networking activities with delegates from i IFRec Osaka University. |
| Year(s) Of Engagement Activity | 2022 |
