Evidence map›Paper›PMID 37145839›Full record

ArticleBioconjugate chemistry2023

Superresolution Imaging with Single-Antibody Labeling.

Hirushi Gunasekara, Thilini Perera, Jesse Anderson, Badeia Saed, Neal Ramseier, Neama Keshta, Ying S Hu

Abstract read
In one paragraph

Article in Bioconjugate chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
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

7 authors.

Hirushi GunasekaraORCID 0000-0002-3750-2309
Jesse Anderson
Neama Keshta

Funding

Ultrasensitive quantification of cytokine release from T cellsR35GM146786 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Ying Samuel Hu · 2022 to 2026
$2.2M
NIGMS NIH HHS R35 GM146786
6 · The paper itself

Abstract

We present a versatile single-molecule localization microscopy technique utilizing time-lapse imaging of single-antibody labeling. By performing single-molecule imaging in the subminute time scale and tuning the antibody concentration to create sparse single-molecule binding, we captured antibody labeling of subcellular targets to generate superresolution images. Single-antibody labeling enabled dual-target superresolution imaging using dye-conjugated monoclonal and polyclonal antibodies. We further demonstrate a dual-color strategy to increase the sample labeling density. Single-antibody labeling paves a new way to evaluate antibody binding for superresolution imaging in the native cellular environment.

Indexed as

AntibodiesSingle Molecule ImagingExtracellular SpaceFluorescent DyesMicroscopy, FluorescenceAntibodiesFluorescent Dyes

Identifiers

PMID37145839
PMCPMC10859171

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.