Evidence map›Paper›PMID 38347426›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Imaging of Mucin Networks with Atomic Force Microscopy.

Jerome Carpenter, Mehmet Kesimer

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jerome CarpenterDepartment of Pathology and Laboratory Medicine, Marsico Lung Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. romec@unc.edu.
Mehmet KesimerDepartment of Pathology and Laboratory Medicine, Marsico Lung Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Project 4: Biophysical and structural characterization of airway submucosal gland mucus in health and diseaseP01HL164320 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Richard Charles Boucher, Michael Rubinstein · 2022 to 2026
$13.9M
NHLBI NIH HHS P01 HL164320
6 · The paper itself

Abstract

Mucin networks serve as the structural scaffold of mucus and play a significant role in determining its biophysical properties. Thus, characterizing the organization, macromolecular structure, and interactions within these networks is a key step in understanding the parameters that govern mucus functionality in both health and disease. Atomic force microscopy (AFM) is uniquely suited to study mucin networks; AFM can clearly resolve nanometer-sized features, does not require fixation or metallization, and can be performed in air or aqueous solutions. In this chapter we describe protocols to image mucin networks using AFM. First, we describe two protocols to enrich and isolate mucin samples in preparation for AFM imaging. Next, we detail a protocol to deposit the samples onto a mica substrate. Finally, we give general tips to optimize and troubleshoot AFM imaging of mucin networks.

Indexed as

MucinsMicroscopy, Atomic ForceMolecular StructureMucinsAtomic force microscopyMucinMucin networksTopography

Identifiers

PMID38347426
PMCPMC11127370

What OpenQuestion holds

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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.