Evidence map›Paper›PMID 35312281›Full record

ArticleBioconjugate chemistry2022

A Self-Assembling Probe for Imaging the States of Golgi Apparatus in Live Single Cells.

Weiyi Tan, Qiuxin Zhang, Pengyu Hong, Bing Xu

Open access · greenAbstract read
In one paragraph

Article in Bioconjugate chemistry, 2022. 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
0.9field-weighted citation impact, top 32% of its field
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, 12 citations in OpenAlex.

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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 at 1 institution in 1 country.

Weiyi TanDepartment of Chemistry, Brandeis University, 415 South Street, Waltham, Massachusetts 02454, United States.ORCID 0000-0001-5316-8278
Qiuxin ZhangDepartment of Chemistry, Brandeis University, 415 South Street, Waltham, Massachusetts 02454, United States.
Pengyu HongDepartment of Computer Science, Brandeis University, 415 South Street, Waltham, Massachusetts 02453, United States.
Bing XuDepartment of Chemistry, Brandeis University, 415 South Street, Waltham, Massachusetts 02454, United States.ORCID 0000-0002-4639-387X
Brandeis University · US

Funding

Subcellular Enzyme-instructed self-assembly for molecular anticancer nanomedicinesR01CA142746 · NCI · BRANDEIS UNIVERSITY · PI Bing Xu · 2010 to 2026
$6.4M
NCI NIH HHS R01 CA142746
6 · The paper itself

Abstract

Despite the enormous progress in genomics and proteomics, it is still challenging to assess the states of organelles in living cells with high spatiotemporal resolution. Based on our recent finding of enzyme-instructed self-assembly of a thiophosphopeptide that targets the Golgi Apparatus (GA) instantly, we use the thiophosphopeptide, which is enzymatically responsive and redox active, as an integrative probe for revealing the state of the GA of live cells at the single cell level. By imaging the probe in the GA of live cells over time, our results show that the accumulation of the probe at the GA depends on cell types. By comparison to a conventional Golgi probe, this self-assembling probe accumulates at the GA much faster and are sensitive to the expression of alkaline phosphatases. In addition, subtle changes of the fluorophore results in slightly different GA responses. This work illustrates a novel class of active molecular probes that combine enzyme-instructed self-assembly and redox reaction for high-resolution imaging of the states of subcellular organelles over a large area and extended times.

Indexed as

Fluorescent DyesGolgi ApparatusAlkaline PhosphataseMicroscopy, FluorescenceOrganellesAlkaline PhosphataseFluorescent Dyes

Identifiers

PMID35312281
PMCPMC9489815
OpenAlexW4220656578

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.