Evidence map›Paper›PMID 32329219›Full record

ArticleBiotechnology progress2020

A simplified method for the efficient purification and refolding of recombinant human TRAIL.

Zhenjiang Zhang, Su Bin Hahn, Thong M Cao, Michael R King

Open access · greenAbstract read
In one paragraph

Article in Biotechnology progress, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Zhenjiang ZhangDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0002-9912-610X
Su Bin HahnDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Thong M CaoDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Michael R KingDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.ORCID 0000-0002-0223-7808
Vanderbilt University · US

Funding

Super Natural Killer Cells That Target Metastases in the Tumor-Draining Lymph NodesR01CA203991 · NCI · VANDERBILT UNIVERSITY · PI KING, MICHAEL R. · 2017 to 2021
$1.9M
NCI NIH HHS R01 CA203991
6 · The paper itself

Abstract

Tumor necrosis factor (TNF)-related apoptosis-inducing ligand (TRAIL) belongs to the TNF cytokine superfamily that specifically induces apoptosis in a broad spectrum of human cancer cell lines but not in most healthy cells. The antitumor potential of recombinant human TRAIL (rhTRAIL) has attracted great attention among biologists and oncologists. However, attempts to express rhTRAIL in Escherichia coli often results in limited yield of bioactive protein due to the formation of inclusion bodies (IBs), which are dense insoluble particulate protein aggregates inside cells. We describe herein a highly simplified method to produce pure bioactive rhTRAIL using E. coli. The method is straightforward and requires only basic laboratory equipment, with highly efficient purification and high yield of renaturation, and may also be applied to produce other proteins that form IBs in E. coli.

Indexed as

Recombinant Fusion ProteinsTNF-Related Apoptosis-Inducing LigandCell Line, TumorCell SurvivalChromatography, AffinityChromatography, GelEscherichia coliHumansInclusion BodiesProtein RefoldingRecombinant Fusion ProteinsTNF-Related Apoptosis-Inducing LigandTNFSF10 protein, humanprotein expressionprotein refoldingrecombinant proteinTRAIL

Identifiers

PMID32329219
PMCPMC7572648
OpenAlexW3019879812

What OpenQuestion holds

Textmetadata
LicenceTDM
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.