Evidence map›Paper›PMID 42430242›Full record

ArticleSTAR protocols2026

Protocol to purify human and mouse cytokines using an endotoxin-free Escherichia coli-based platform.

Jae-Yoon Kim, Jessica Xin, I-Chih Kuo, Si Xuan Chen, Ahmed Kabil, Kai-Wei Chang, Nika Shakiba, Kelly M McNagny, Yanpu He

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jae-Yoon KimSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Jessica XinSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
I-Chih KuoDepartment of Experimental Medicine, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Si Xuan ChenDepartment of Microbiology & Immunology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Ahmed KabilSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Kai-Wei ChangSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Nika ShakibaSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Premium Research Institute for Human Metaverse Medicine (PRIMe), University of Osaka, Osaka 565-0871, Japan.
Kelly M McNagnySchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Yanpu HeSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. Electronic address: yanpu.he@ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present a cost-effective protocol to purify four representative human and mouse cytokines using an endotoxin-free Escherichia coli (E. coli)-based platform. We describe steps for protein expression and maltose-binding protein (MBP) tag removal. We then detail procedures for immobilized metal-ion affinity chromatography (IMAC) capture and fast protein liquid chromatography (FPLC) purification. This protocol is readily adaptable to other costly cytokines and growth factors, providing scalable and affordable approaches to accelerate research in cell biology, tissue engineering, and biomanufacturing.

Indexed as

ImmunologyProtein expression and purificationStem Cells

Identifiers

PMID42430242
PMCPMC13380748

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.