Evidence map›Paper›PMID 22797828›Full record

ArticleNature materials2012

Tuning the autophagy-inducing activity of lanthanide-based nanocrystals through specific surface-coating peptides.

Yunjiao Zhang, Fang Zheng, Tianlong Yang, Wei Zhou, Yun Liu, Na Man, Li Zhang, Nan Jin, Qingqing Dou, Yong Zhang and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
14.6field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 179 citations in OpenAlex.

  1. Guideline
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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

12 authors at 5 institutions in 2 countries.

Yunjiao ZhangHefei National Laboratory for Physical Sciences at Microscale and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027, China.
Fang Zheng
Tianlong Yang
Wei Zhou
Yun Liu
Na Man
Li Zhang
Nan Jin
Qingqing Dou
Yong Zhang
Zhengquan Li
Long-Ping Wen
Hefei National Center for Physical Sciences at Nanoscale · CNUniversity of Science and Technology of China · CNNational University of Singapore · SGSichuan University · CNZhejiang Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The induction of autophagy on exposure of cells to a variety of nanoparticles represents both a safety concern and an application niche for engineered nanomaterials. Here, we show that a short synthetic peptide, RE-1, identified by means of phage display, binds to lanthanide (LN) oxide and upconversion nanocrystals (UCN), forms a stable coating layer on the nanoparticles' surface, and effectively abrogates their autophagy-inducing activity. Furthermore, RE-1 peptide variants exhibit a differentially reduced binding capability, and correspondingly, a varied ability to reduce the autophagic response. We also show that the addition of an arginine-glycine-aspartic acid (RGD) motif to RE-1 enhances autophagy for LN UCN through the interaction with integrins. RE-1 and its variants provide a versatile tool for tuning material-cell interactions to achieve the desired level of autophagy, and may prove useful for the various diagnostic and therapeutic applications of LN-based nanomaterials and nanodevices.

Indexed as

Amino Acid SequenceAutophagyCell CommunicationHeLa CellsHumansLanthanoid Series ElementsNanoparticlesOxidesPeptide LibraryPeptidesSurface PropertiesLanthanoid Series ElementsOxidesPeptide LibraryPeptides

Identifiers

PMID22797828
OpenAlexW2096465978

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.