Evidence map›Paper›PMID 31314779›Full record

ArticlePloS one2019

Nuclear morphometrics and chromatin condensation patterns as disease biomarkers using a mobile microscope.

Karthik Damodaran, Michele Crestani, Doorgesh Sharma Jokhun, G V Shivashankar

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Nuclear growth and import can be uncoupled.Molecular biology of the cell · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
4 · The record

Corrections and comments

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

4 authors.

Karthik DamodaranMechanobiology Institute and Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Michele CrestaniMechanobiology Institute and Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Doorgesh Sharma JokhunMechanobiology Institute and Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
G V ShivashankarMechanobiology Institute and Department of Biological Sciences, National University of Singapore, Singapore, Singapore.ORCID 0000-0002-3445-4567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current cancer diagnosis involves the use of nuclear morphology and chromatin condensation signatures for accurate advanced stage classification. While such diagnostic approaches rely on high resolution imaging of the cell nucleus using expensive microscopy systems, developing portable mobile microscopes to visualize nuclear and chromatin condensation patterns is desirable at clinical settings with limited infrastructure. In this study, we develop a portable fluorescent mobile microscope capable of acquiring high resolution images of the nucleus and chromatin. Using this we extracted nuclear morphometric and chromatin texture based features and were able to discriminate between normal and cancer cells with similar accuracy as wide-field fluorescence microscopy. We were also able to detect subtle changes in nuclear and chromatin features in cells subjected to compressive forces, cytoskeletal perturbations and cytokine stimulation, thereby highlighting the sensitivity of the portable microscope. Taken together, we present a versatile platform to exploit nuclear morphometrics and chromatin condensation features as physical biomarkers for point-of-care diagnostic solutions.

Indexed as

Microscopy, FluorescenceBiomarkers, TumorCell NucleusChromatinChromosomesHeterochromatinHumansImage Processing, Computer-AssistedNeoplasmsBiomarkers, TumorChromatinHeterochromatin

Identifiers

PMID31314779
PMCPMC6636717

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Registered trials

None linked

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.