ReviewPediatric nephrology (Berlin, Germany)2009
In praise of arrays.
Review in Pediatric nephrology (Berlin, Germany), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- DExplore: An Online Tool for Detecting Differentially Expressed Genes from mRNA Microarray Experiments.Biology · 2024Article
- Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.Journal of the American Society of Nephrology : JASN · 2017Review
- The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.Transplantation · 2016Review
- Intronic locus determines SHROOM3 expression and potentiates renal allograft fibrosis.The Journal of clinical investigation · 2015Article
- Molecular analysis of transplant rejection: marching onward.The Journal of experimental medicine · 2013Review
- Estimating relative noise to signal in DNA microarray data.International journal of bioinformatics research and applications · 2013Article
- Biomarkers in solid organ transplantation: establishing personalized transplantation medicine.Genome medicine · 2011Article
- Identifying biomarkers as diagnostic tools in kidney transplantation.Expert review of molecular diagnostics · 2011Article
- Assessment of kidney organ quality and prediction of outcome at time of transplantation.Seminars in immunopathology · 2011Review
- Distinctive gene expression profiles characterize donor biopsies from HCV-positive kidney donors.Transplantation · 2010Article
- Molecular diagnostics in transplantation.Nature reviews. Nephrology · 2010Review
- Molecular pathways involved in loss of graft function in kidney transplant recipients.Expert review of molecular diagnostics · 2010Review
- Mechanism of cellular rejection in transplantation.Pediatric nephrology (Berlin, Germany) · 2010Review
- Deconvoluting the 'omics' for organ transplantation.Current opinion in organ transplantation · 2009Review
- Recent advances in chronic dialysis and renal transplantation in children.Pediatric nephrology (Berlin, Germany) · 2009Article
- The proteogenomic path towards biomarker discovery.Pediatric transplantation · 2008Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microarray technologies have both fascinated and frustrated the transplant community since their introduction roughly a decade ago. Fascination arose from the possibility offered by the technology to gain a profound insight into the cellular response to immunogenic injury and the potential that this genomic signature would be indicative of the biological mechanism by which that stress was induced. Frustrations have arisen primarily from technical factors such as data variance, the requirement for the application of advanced statistical and mathematical analyses, and difficulties associated with actually recognizing signature gene-expression patterns and discerning mechanisms. To aid the understanding of this powerful tool, its versatility, and how it is dramatically changing the molecular approach to biomedical and clinical research, this teaching review describes the technology and its applications, as well as the limitations and evolution of microarrays, in the field of organ transplantation. Finally, it calls upon the attention of the transplant community to integrate into multidisciplinary teams, to take advantage of this technology and its expanding applications in unraveling the complex injury circuits that currently limit transplant survival.
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.