Evidence map›Paper›PMID 33491460›Full record

ArticleJournal of proteome research2021

MicroPOTS Analysis of Barrett's Esophageal Cell Line Models Identifies Proteomic Changes after Physiologic and Radiation Stress.

Kenneth Weke, Ashita Singh, Naomi Uwugiaren, Javier A Alfaro, Tongjie Wang, Ted R Hupp, J Robert O'Neill, Borek Vojtesek, David R Goodlett, Sarah M Williams and 4 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

14 authors.

Kenneth WekeUniversity of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.ORCID 0000-0001-8947-7793
Ashita SinghInstitute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, U.K.
Naomi UwugiarenUniversity of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.
Javier A AlfaroUniversity of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.
Tongjie WangInstitute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, U.K.
Ted R HuppUniversity of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.
J Robert O'NeillInstitute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland EH4 2XR, U.K.
Borek VojtesekResearch Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, 656 53 Brno, Czech Republic.
David R GoodlettUniversity of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.
Sarah M WilliamsEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Mowei ZhouEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0003-3575-3224
Ryan T KellyEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.
Ying ZhuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.ORCID 0000-0002-5416-0566
Irena DapicUniversity of Gdansk, International Centre for Cancer Vaccine Science, ul. Kładki 24, 80-822 Gdansk, Poland.ORCID 0000-0002-0716-6500

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Moving from macroscale preparative systems in proteomics to micro- and nanotechnologies offers researchers the ability to deeply profile smaller numbers of cells that are more likely to be encountered in clinical settings. Herein a recently developed microscale proteomic method, microdroplet processing in one pot for trace samples (microPOTS), was employed to identify proteomic changes in ∼200 Barrett's esophageal cells following physiologic and radiation stress exposure. From this small population of cells, microPOTS confidently identified >1500 protein groups, and achieved a high reproducibility with a Pearson's correlation coefficient value of

Indexed as

Barrett EsophagusEsophageal NeoplasmsCell LineHeterogeneous-Nuclear Ribonucleoprotein Group CHumansMucoproteinsOncogene ProteinsProteomicsReproducibility of ResultsTacrolimus Binding ProteinsUbiquitin-Conjugating EnzymesAGR2 protein, humanFKBP3 protein, humanHeterogeneous-Nuclear Ribonucleoprotein Group CMucoproteinsOncogene ProteinsRALY protein, humanTacrolimus Binding ProteinsUBE2M protein, humanUbiquitin-Conjugating EnzymesBarrett’s esophaguslithocholic acidmicroPOTSproteomicsX-ray

Identifiers

PMID33491460
PMCPMC8155554

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.