Project JAGUAR: Discovering the Hidden Diversity of Immune Cells in Latin America
Evelia Lorena Coss-Navarrete 1, Diego Ramírez-Espinosa 1, Ana Laura Hernandez-Ledesma 1, Alejandra Schäfer 1, Grecia Sevilla-Parra 1, Marcela Sjoberg 2, Carolina Alvarez 2, Felipe Gajardo 2, Benilton de Sá Carvalho 3, Heitor de Paula Neto 4, Andreza Gama 4, Luis Tataje-Lavanda 5, Damaris Esquen-Bayona 5, Maximiliano Berro 6, Marina Fernandez 7, Pablo Romagnoli 7, Danilo Ceshin 7, Yesid Cuesta-Astroz 8, Carlos Camero 8, Julieth López-Castiblanco 8, Adriana Rojas 9, Liliana López Kleine 10, Tarran Rupall 11, Thais de Oliveira 11, Matiss Ozols 11, Anna Lorenc 11, Carla Jones 11, Gosia Trynka* 11, Alejandra Medina-Rivera* 1.
1: Laboratorio Internacional de Investigación sobre el Genoma Humano (LIIGH-UNAM); 2: Facultad de Ciencias Biológicas de la Pontificia Universidad Católica de Chile (PUC), Chile; 3: Universidade Estadual de Campinas, Brazil; 4: Faculdade de Farmácia da Universidade Federal do Rio de Janeiro (UFRJ), Brazil; 5: Facultad de Ciencias de la Salud - EPMH. Universidad Privada San Juan Bautista (UPSJB), Peru; 6: Hospital de Clínicas de la Facultad de Medicina, Universidad de la República, Uruguay; 7: Centro de investigaciones en Medicina Traslacional ¨Severo R. Amuchástegui” (CIMETSA), Instituto Universitario de Ciencias Biomédicas de Córdoba (IUCBC), Argentina; 8: Instituto Colombiano de Medicina Tropical, Colombia; 9: Pontificia Universidad Javeriana - Bogotá, Colombia; 10: Universidad Nacional de Colombia en Bogotá, Colombia; 11: Wellcome Sanger Institute, UK.
Presenter
Latin American populations (LATAM) result from genetic and cultural admixture among Indigenous, European, African and Asian groups, additionally shaped by the rich diversity of ecosystems and population migrations.
LATAM populations are underrepresented in genomic studies. Diminishing the benefit of these studies in our populations.
Hispanic
2%
STUDY DESIGN:
MOTIVATION:
AIM: To address how genetic diversity shapes immunity, resulting in differences in responses to infections and susceptibility to diseases.
STRENGTH: Genetic richness of Latin American populations and environmental diversity.
HOW: The use of single-cell technologies (scRNA-Seq, scATAC-Seq and scCITE-Seq) to identify how diverse ancestries impact gene expression and the composition of immune cells.
Project JAGUAR
1080 volunteers
Figure 2. Methodological approach. Volunteers from seven Latin American countries will provide blood samples for PBMC isolation and analysis. Using single-cell technologies (scATAC-seq, scRNA-seq, CITE-seq, and whole genome sequencing), the study aims to explore how ancestry influences gene expression and immune cell composition. Data on health, lifestyle, and environment will also be collected. Whole Genome Sequencing (WGS), T-Cell Receptor (TCR) and B-Cell Receptor (BCR). PBMC: Peripheral blood mononuclear cells.
Volunteers recruitment
Recruitment progress
50 % gender representation
This project was supported by the Chan-Zuckerberg Initiative (CZI). We thank LAVIS members Luis Aguilar, Alejandro León, and Jair García, and LIIGH members Carina Uribe Díaz, Alejandra Castillo Carbajal, and Christian Molina Aguilar for their support. Evelia Coss is postdoctoral from CONAHCYT (CVU 781634).
I sincerely appreciate Mauricio Guzmán, Paty Rodil Garcia, and Andy Bermeo de Jesus for their invaluable help on social media. My heartfelt gratitude goes to Mariana Villegas, Nadia Estrada, Sofia Hernandez, and Francisco Ramirez for their dedication in sampling and blood collection. We also thank the Blood Bank of Querétaro and AUNA ideas, especially Dr. Said González, Dr. Mercedes, Joseph Pinto and Ina Pérez, for their unwavering support.
Finally, I am deeply grateful to RIABIO, ISCB, and the JAGUAR project for their financial assistance, which made it possible for me to attend the conference and present this poster.
COMMUNITY ENGAGEMENT:
RESULTS:
CONCLUSION AND PERSPECTIVES:
ACKNOWLEDGEMENTS:
Anna Lorenc (UK), Evelia Coss (Mexico), Diego Ramirez (Mexico), Alejandra Schäfer (Mexico), Alejandra Medina (Mexico), Thais de Oliveira (Brazil), Benilton de Sá Carvalho (Brazil), Julieth López (Colombia), Tarran Rupall (UK), Bess Chau (UK), Felipe Gajardo (Chile), Yesid Cuesta (Colombia), Liliana Lopez Kleine (Colombia), Gosia Trynka (UK), Danilo Ceshin (Argentina) and Marina Fernandez (Argentina).
Ana Laura Hernández-Ledesma (Mexico), Pablo Alberto Romagnoli (Argentina), Marina Fernandez (Argentina), Marcela Sjöberg (Chile) and Carla Jones (UK)
Bioinformatic team
Immunology experts
WORK TEAM:
Gosia Trynka 11
UK
Alejandra Medina-Rivera 1
Mexico
Pablo Alberto Romagnoli and Danilo Guillermo Ceschin
Argentina
Maximiliano Berro Castiglioni
Uruguay
Marcela Katherine Sjöberg Herrera
Chile
Luis Alberto
Tataje Lavanda
Peru
Yesid Cuesta Astroz 8
Colombia
Brazil
Benilton de Sá Carvalho and Heitor A. Paula Neto
Ana Laura Hernández-Ledesma (Mexico), Alejandra Schäfer (Mexico), Grecia Sevilla (Mexico), Evelia Coss (Mexico), Marina Fernandez (Argentina), Carlos Camero (Colombia), Carla Jones (UK), Melanie Ccaico (Peru), Edith Málaga (Peru), Fabrizio Vásquez (Peru).
Participant recruitment and sample preparation team
Metadata collection with biobank standards
Single Cell Omics
PBMC collection & genetic profiling
PBMC isolation
scRNA-seq scATAC-seq scCITE-seq
WGS
Figure 1. Donor diversity in different functional genomics datasets and resources. (A and B) Genetic ancestry is displayed for a set of commonly used cancer cell lines, the eQTL Catalog, and TCGA in (A), while (B) shows self-identified ethnicity across various epigenome-wide association studies (EWASs). TCGA: The Cancer Genome Atlas Program; eQTL: Expression Quantitative trait loci. Figure adapted from George S, et al. 2023. CellPress. DOI: https://doi.org/10.1016/j.ajhg.2023.10.012
No. | Country | Number of samples proposed | Number of samples collected | IRB status | Sampling start date | Sampling status |
1 | Mexico | 120 | 120 | Approved | February 2023 | Completed |
2 | Argentina | 120 | 114 | Approved | April 2023 | In progress |
3 | Colombia | 120 | 120 | Approved | July 2023 | Completed |
4 | Chile | 120 | 98 | Approved | August 2023 | In progress |
5 | Peru | 120 | 68 | Approved | October 2023 | In progress |
6 | Uruguay | 120 | 0 | Approved | November 2024 | Community engagement |
7 | Brazil | 360 | 0 | Pending | Pending | Community engagement |
| Total | 1080 | | | | |
Table. Sampling Status and Country Information. IRB: Institutional Review Board
Nov 1st 2024
AIM 1: To deeply characterize the immune cell composition across the LATAM populations.
AIM 2: To characterize regulatory networks and mechanisms influenced by genetic variation across LATAM populations.
AIM 3: To build at LATAM PBMC biobank for future studies such as those linking genetic variants to changes in gene expression.
Integration of Regulatory Networks
Population specific regulatory interactions
Regulatory effects of genetic variation
Argentina
Chile
Peru
Uruguay
Mexico
Colombia
Brazil
Mexico
Colombia
Argentina
Chile
120 samples
120 samples
98 samples
114 samples
Peru
68 samples
In progress
Uruguay
Ancestry Networks for the Human Cell Atlas
Co-principal investigators
Figure 3. Sex and Age Distribution in the JAGUAR Project. (A) Distribution of sex and age by country. (B) Percentage distribution of sexes by country. (C) Boxplot showing the dispersion of males and females across countries.
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