ArticleBiophysical journal2010
Detecting protein aggregates on untreated human tissue samples by atomic force microscopy recognition imaging.
Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 32 citations in OpenAlex.
- Atomic Force Microscopy Based Single Molecule Recognition: Deciphering Biological Interactions at the Nanoscale.Journal of molecular recognition : JMR · 2026Review
- Evaluation of aqueous humor and serum clusterin levels in patients with glaucoma.BMC ophthalmology · 2021Article
- Nano-scientific Application of Atomic Force Microscopy in Pathology: from Molecules to Tissues.International journal of medical sciences · 2020Review
- Improved Application of Carbon Nanotube Atomic Force Microscopy Probes Using PeakForce Tapping Mode.Nanomaterials (Basel, Switzerland) · 2018Article
- A Role for Clusterin in Exfoliation Syndrome and Exfoliation Glaucoma?Journal of glaucoma · 2018Review
- Atomic Force Microscopy for Protein Detection and Their Physicoсhemical Characterization.International journal of molecular sciences · 2018Review
- Micromorphology analysis of the anterior human lens capsule.Molecular vision · 2018Article
- Lens capsule structure assessed with atomic force microscopy.Molecular vision · 2015Article
- Clusterin and complement activation in exfoliation glaucoma.Investigative ophthalmology & visual science · 2014Article
- Anterior segment alterations and comparative aqueous humor proteomics in the buphthalmic rabbit (an American Ophthalmological Society thesis).Transactions of the American Ophthalmological Society · 2011Review
- Protein folding and assembly in confined environments: Implications for protein aggregation in hydrogels and tissues.Biotechnology advancesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We apply topography and recognition (TREC) imaging to the analysis of whole, untreated human tissue for what we believe to be the first time. Pseudoexfoliation syndrome (PEX), a well-known cause of irreversible blindness worldwide, is characterized by abnormal protein aggregation on the anterior lens capsule of the eye. However, the development of effective therapies has been hampered by a lack of detailed knowledge of the protein constituents in these pathological deposits and their distribution. Using both TREC and immunofluorescence, one of the proteins implicated in the PEX pathology--the apolipoprotein clusterin--was detected, and differences in its distribution pattern on the surface of untreated human lens capsule tissue in both PEX and normal control samples were investigated. Our study shows the potential of TREC imaging for the analysis of whole, untreated human tissue samples.
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.