ReviewTransplantation2016
The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.
Review in Transplantation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02776111 (The Use of Microfluidics and Transcriptomics to Implement Precision Medicine in Post Solid Organ Transplant Patients), which is not on this map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Use of Microfluidics and Transcriptomics to Implement Precision Medicine in Post Solid Organ Transplant Patients
Who cites it
17 citing papers in PubMed, 38 citations in OpenAlex.
- Integration of intragraft transcriptomics and urinary cytokines identifies CXCL10 and FasL signature in subclinical acute rejection.Scientific reports · 2026Article
- Key genes and immune pathways in T-cell mediated rejection post-liver transplantation identified via integrated RNA-seq and machine learning.Scientific reports · 2024Article
- Contemporary and Emerging MRI Strategies for Assessing Kidney Allograft Complications: Arterial Stenosis and Parenchymal Injury, From theAJR. American journal of roentgenology · 2024Review
- Proteomic analysis investigating kidney transplantation outcomes- a scoping review.BMC nephrology · 2023Article
- SLAMF8 Participates in Acute Renal Transplant RejectionFrontiers in immunology · 2022Article
- Advances in single-cell sequencing: insights from organ transplantation.Military Medical Research · 2021Review
- Article
- Single-cell Transcriptomics and Solid Organ Transplantation.Transplantation · 2019Review
- Metabolomics study of the therapeutic mechanism of a Chinese herbal formula on collagen-induced arthritis mice.RSC advances · 2019Article
- Polymorphisms in vasoactive eicosanoid genes of kidney donors affect biopsy scores and clinical outcomes in renal transplantation.PloS one · 2019Article
- Early isolated V-lesion may not truly represent rejection of the kidney allograft.Clinical science (London, England : 1979) · 2018Observational
- Biomarkers and Pharmacogenomics in Kidney Transplantation.Molecular diagnosis & therapy · 2018Review
- Orthogonal Comparison of Molecular Signatures of Kidney Transplants With Subclinical and Clinical Acute Rejection: Equivalent Performance Is Agnostic to Both Technology and Platform.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2017Article
- Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.Journal of the American Society of Nephrology : JASN · 2017Review
- Novel Therapeutics Identification for Fibrosis in Renal Allograft Using Integrative Informatics Approach.Scientific reports · 2017Article
- Molecular assessment of disease states in kidney transplant biopsy samples.Nature reviews. Nephrology · 2016Review
- Micro RNA 146a-5p expression in Kidney transplant recipients with delayed graft function.Jornal brasileiro de nefrologiaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
Abstract
The development and application of high-throughput molecular profiling have transformed the study of human diseases. The problem of handling large, complex data sets has been facilitated by advances in complex computational analysis. In this review, the recent literature regarding the application of transcriptional genomic information to renal transplantation, with specific reference to acute rejection, acute kidney injury in allografts, chronic allograft injury, and tolerance is discussed, as is the current published data regarding other "omics" strategies-proteomics, metabolomics, and the microRNA transcriptome. These data have shed new light on our understanding of the pathogenesis of specific disease conditions after renal transplantation, but their utility as a biomarker of disease has been hampered by study design and sample size. This review aims to highlight the opportunities and obstacles that exist with genomics and other related technologies to better understand and predict renal allograft outcome.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.