Evidence map›Paper›PMID 27779857›Full record

ArticleBioconjugate chemistry2016

Controlled Detachment of Chemically Glued Cells.

Heebeom Koo, Sei Kwang Hahn, Seok Hyun Yun

Abstract read
In one paragraph

Article in Bioconjugate chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Cell Surface Engineering Tools for Programming Living Assemblies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  3. Review
  4. The Applications of Metabolic Glycoengineering.Frontiers in cell and developmental biology · 2022
    Review
  5. Cell-cell interactionsChemical science · 2021
    Article
  6. 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

3 authors.

Heebeom KooWellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School , 65 Landsdowne Street, UP-5, Cambridge, Massachusetts 02139, United States.
Sei Kwang HahnDepartment of Materials Science and Engineering, Pohang University of Science and Technology , Kyungbuk 790-784, Korea.
Seok Hyun YunWellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School , 65 Landsdowne Street, UP-5, Cambridge, Massachusetts 02139, United States.

Funding

TRD3: Percutaneous and Interstitial ImagingP41EB015903 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Brett E Bouma · 2012 to 2026
$22.4M
Bioluminecence-activated photodynamic therapy of breast cancerR01CA192878 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI YUN, SEOK-HYUN ANDY · 2015 to 2019
$2.3M
NCI NIH HHS R01 CA192878NIBIB NIH HHS P41 EB015903
6 · The paper itself

Abstract

We demonstrate a chemically detachable cell-glue system based on linkers containing disulfide bonds as well as functional groups for metabolic glycoengineering and bioorthogonal click chemistry. Azide groups are generated on the cell surface by metabolic glycoengineering, and they are further modified into tetrazine (Tz) or trans-cyclooctene (TCO) using rationally designed cross-linkers. When the Tz-modified and TCO-modified cells are mixed together, cell gluing between these two cell groups is established by Tz-TCO click chemistry. This artificial cell-cell adhesion can be broken by the administration of glutathione (5 mM), which triggers the degradation of disulfide bonds. Both the gluing and detachment processes are rapid (<10 min) and minimally cytotoxic.

Indexed as

A549 CellsAzidesCell AdhesionClick ChemistryCyclooctanesDisulfidesGlutathioneHumansJurkat CellsKineticsMetabolic EngineeringAzidesCyclooctanesDisulfidesGlutathione

Identifiers

PMID27779857
PMCPMC5505264

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.