Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 39% of its field
1 · What the graph read from it
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.
2 · The registry
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.
3 · Its place in the literature
Who cites it
2 citing papers in PubMed, 6 citations in OpenAlex.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
21 authors at 5 institutions in 3 countries.
Job van Riet *Department of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0001-7767-7923
Chinmoy Saha *Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0003-0474-0615
Nikolaos StrepisDepartment of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.
Rutger W W BrouwerCenter for Biomics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.
Elena S Martens-UzunovaDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-5363-2525
Wesley S van de GeerCancer Computational Biology Center, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0001-9738-9988
Sigrid M A SwagemakersClinical Bioinformatics, Department of Pathology, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0003-4339-8189
Andrew StubbsClinical Bioinformatics, Department of Pathology, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.
Yassir HalimiDepartment of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-1506-8599
Sanne VoogdDepartment of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-7788-4815
Arif Mohammad TanmoyDepartment of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-7769-8035
Malgorzata A KomorTranslational Gastrointestinal Oncology, Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.
Youri HoogstrateDepartment of Neurology, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0003-2166-0676
Bart JanssenGenomeScan, Leiden, Netherlands.
Remond J A FijnemanTranslational Gastrointestinal Oncology, Department of Pathology, Netherlands Cancer Institute, Amsterdam, Netherlands.ORCID 0000-0003-2076-5521
Yashar S NiknafsMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.
Arul M ChinnaiyanMichigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-8743-7480
Wilfred F J van IJckenCenter for Biomics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-0421-8301
Peter J van der SpekClinical Bioinformatics, Department of Pathology, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-2203-0652
Guido JensterDepartment of Urology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-8658-2552
Rogier LouwenDepartment of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands. r.louwen@erasmusmc.nl.ORCID 0000-0003-2537-4941
Erasmus MC · NLErasmus MC Cancer Institute · NLThe Netherlands Cancer Institute · NLUniversity of Michigan · USGenomeScan (Netherlands) · NL
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPRs) have been identified in bacteria, archaea and mitochondria of plants, but not in eukaryotes. Here, we report the discovery of 12,572 putative CRISPRs randomly distributed across the human chromosomes, which we termed hCRISPRs. By using available transcriptome datasets, we demonstrate that hCRISPRs are distinctively expressed as small non-coding RNAs (sncRNAs) in cell lines and human tissues. Moreover, expression patterns thereof enabled us to distinguish normal from malignant tissues. In prostate cancer, we confirmed the differential hCRISPR expression between normal adjacent and malignant primary prostate tissue by RT-qPCR and demonstrate that the SHERLOCK and DETECTR dipstick tools are suitable to detect these sncRNAs. We anticipate that the discovery of CRISPRs in the human genome can be further exploited for diagnostic purposes in cancer and other medical conditions, which certainly will lead to the development of point-of-care tests based on the differential expression of the hCRISPRs.
Indexed as
Clustered Regularly Interspaced Short Palindromic RepeatsRNA, Small UntranslatedArchaeaBacteriaGenome, HumanHumansMaleRNA, Small Untranslated
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.
CRISPRs in the human genome are differentially expressed between malignant and normal adjacent to tumor tissue. · full record | OpenQuestion