Molecular landscape of kidney allograft tissues data integration portal (NephroDIP): a curated database to improve integration of high-throughput kidney transplant datasets.

LGALS1 antibody-mediated rejection data integration high-throughput data integrative computational biology interstitial fibrosis and tubular atrophy kidney transplantation transplant immunosuppression

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2024
Historique:
received: 23 07 2024
accepted: 03 09 2024
medline: 14 10 2024
pubmed: 14 10 2024
entrez: 14 10 2024
Statut: epublish

Résumé

Kidney transplantation is the optimal treatment for end-stage kidney disease; however, premature allograft loss remains a serious issue. While many high-throughput omics studies have analyzed patient allograft biospecimens, integration of these datasets is challenging, which represents a considerable barrier to advancing our understanding of the mechanisms of allograft loss. To facilitate integration, we have created a curated database containing all open-access high-throughput datasets from human kidney transplant studies, termed NephroDIP (Nephrology Data Integration Portal). PubMed was searched for high-throughput transcriptomic, proteomic, single nucleotide variant, metabolomic, and epigenomic studies in kidney transplantation, which yielded 9,964 studies. From these, 134 studies with available data detailing 260 comparisons and 83,262 molecules were included in NephroDIP v1.0. To illustrate the capabilities of NephroDIP, we have used the database to identify common gene, protein, and microRNA networks that are disrupted in patients with chronic antibody-mediated rejection, the most important cause of late allograft loss. We have also explored the role of an immunomodulatory protein galectin-1 (LGALS1), along with its interactors and transcriptional regulators, in kidney allograft injury. We highlight the pathways enriched among LGALS1 interactors and transcriptional regulators in kidney fibrosis and during immunosuppression. NephroDIP is an open access data portal that facilitates data visualization and will help provide new insights into existing kidney transplant data through integration of distinct studies and modules (https://ophid.utoronto.ca/NephroDIP).

Identifiants

pubmed: 39399491
doi: 10.3389/fimmu.2024.1469500
pmc: PMC11466753
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1469500

Informations de copyright

Copyright © 2024 Boshart, Petrovic, Abovsky, Pastrello, Farkona, Manion, Neupane, Allen, Jurisica and Konvalinka.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Alex Boshart (A)

Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.
Institute of Medical Science, University of Toronto, Toronto, ON, Canada.

Stefan Petrovic (S)

Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.

Mark Abovsky (M)

Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, Toronto, ON, Canada.

Chiara Pastrello (C)

Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, Toronto, ON, Canada.

Sofia Farkona (S)

Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.

Kieran Manion (K)

Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.

Slaghaniya Neupane (S)

Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.
Institute of Medical Science, University of Toronto, Toronto, ON, Canada.

Maya Allen (M)

Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.

Igor Jurisica (I)

Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, University Health Network, Toronto, ON, Canada.
Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, University Health Network, Toronto, ON, Canada.
Departments of Medical Biophysics and Computer Science, and Faculty of Dentistry, University of Toronto, Toronto, ON, Canada.
Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia.

Ana Konvalinka (A)

Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ajmera Transplant Centre, University Health Network, Toronto, ON, Canada.
Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Department of Medicine, Division of Nephrology, University Health Network, Toronto, ON, Canada.

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