Evidence map›Paper›PMID 38019857›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance.

Yiming Wan, Quanhua Mu, Rafał Krzysztoń, Joseph Cohen, Damiano Coraci, Christopher Helenek, Christopher Tompkins, Annie Lin, Kevin Farquhar, Erin Cross and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. 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
1.7field-weighted citation impact, top 15% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
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  4. Review
  5. Article
  6. Adaptive DNA amplification of synthetic gene circuit opens a way to overcome cancer chemoresistance.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

12 authors at 2 institutions in 2 countries.

Yiming Wan *Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.ORCID 0000-0001-5466-3895
Quanhua Mu *Department of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region 999077, China.ORCID 0000-0002-6891-5616
Rafał Krzysztoń *Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.ORCID 0000-0001-9240-7278
Joseph CohenDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.
Damiano CoraciDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.
Christopher HelenekDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.ORCID 0000-0002-4070-3590
Christopher TompkinsKromaTid, Inc., Longmont, CO 80501.
Annie LinDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.
Kevin FarquharDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.
Erin CrossKromaTid, Inc., Longmont, CO 80501.
Jiguang WangDepartment of Chemical and Biological Engineering, Division of Life Science, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region 999077, China.ORCID 0000-0002-6923-4097
Gábor BalázsiDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY 11794.ORCID 0000-0002-6865-5818
Stony Brook University · USHong Kong University of Science and Technology · HK

Funding

Dynamics and evolution of synthetic and natural gene regulatory networksR35GM122561 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI BALAZSI, GABOR · 2017 to 2025
$4.2M
NIGMS NIH HHS R35 GM122561
6 · The paper itself

Abstract

Drug resistance continues to impede the success of cancer treatments, creating a need for experimental model systems that are broad, yet simple, to allow the identification of mechanisms and novel countermeasures applicable to many cancer types. To address these needs, we investigated a set of engineered mammalian cell lines with synthetic gene circuits integrated into their genome that evolved resistance to Puromycin. We identified DNA amplification as the mechanism underlying drug resistance in 4 out of 6 replicate populations. Triplex-forming oligonucleotide (TFO) treatment combined with Puromycin could efficiently suppress the growth of cell populations with DNA amplification. Similar observations in human cancer cell lines suggest that TFOs could be broadly applicable to mitigate drug resistance, one of the major difficulties in treating cancer.

Indexed as

DNANeoplasmsAnimalsDrug Resistance, NeoplasmGenes, SyntheticHumansMammalsOligonucleotidesPuromycinDNAOligonucleotidesPuromycinDNA amplificationdrug resistanceevolutionRNA sequencingsynthetic biology

Identifiers

PMID38019857
PMCPMC10710087
OpenAlexW4389128638

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.