Evidence map›Paper›PMID 36045417›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Functional Phosphoproteomics in Cancer Chemoresistance Using CRISPR-Mediated Base Editors.

Jianan Li, Jianxiang Lin, Shisheng Huang, Min Li, Wenxia Yu, Yuting Zhao, Junfan Guo, Pumin Zhang, Xingxu Huang, Yunbo Qiao

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. CRISPR applications in cancer diagnosis and treatment.Cellular & molecular biology letters · 2023
    Review
  8. Review
  9. Functional Phosphoproteomics in Cancer Chemoresistance Using CRISPR-Mediated Base Editors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    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

10 authors at 5 institutions in 1 country.

Jianan LiSchool of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
Jianxiang LinNinth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200125, China.
Shisheng HuangZhejiang Lab, Hangzhou, Zhejiang, 311121, China.
Min LiPrecise Genome Engineering Center, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China.
Wenxia YuSchool of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
Yuting ZhaoPrecise Genome Engineering Center, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China.
Junfan GuoSchool of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
Pumin ZhangZhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, and Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, 310029, China.
Xingxu HuangSchool of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
Yunbo QiaoNinth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200125, China.ORCID 0000-0002-8391-5868
ShanghaiTech University · CNGuangzhou University · CNShanghai Jiao Tong University · CNZhejiang Lab · CNZhejiang University · CN

Funding

Excellent Youth Foundation of Guangdong Scientific Committee 2020B1515020018Local Grants 17JC1420103National Key Research and Development Program 2018YFC1004700National Key Research and Development Program 2021YFA0804702
6 · The paper itself

Abstract

Selective inhibition of targeted protein kinases is an effective therapeutic approach for treatment of human malignancies, which interferes phosphorylation of cellular substrates. However, a drug-imposed selection creates pressures for tumor cells to acquire chemoresistance-conferring mutations or activating alternative pathways, which can bypass the inhibitory effects of kinase inhibitors. Thus, identifying downstream phospho-substrates conferring drug resistance is of great importance for developing poly-pharmacological and targeted therapies. To identify functional phosphorylation sites involved in 5-fluorouracil (5-FU) resistance during its treatment of colorectal cancer cells, CRISPR-mediated cytosine base editor (CBE) and adenine base editor (ABE) are utilized for functional screens by mutating phosphorylated amino acids with two libraries specifically targeting 7779 and 10 149 phosphorylation sites. Among the top enriched gRNAs-induced gain-of-function mutants, the target genes are involved in cell cycle and post-translational covalent modifications. Moreover, several substrates of RSK2 and PAK4 kinases are discovered as main effectors in responding to 5-FU chemotherapy, and combinational treatment of colorectal cancer cells with 5-FU and RSK2 inhibitor or PAK4 inhibitor can largely inhibit cell growth and enhance cell apoptosis through a RSK2/TP53BP1/γ-H2AX phosphorylation signaling axis. It is proposed that this screen approach can be used for functional phosphoproteomics in chemotherapy of various human diseases.

Indexed as

Colorectal NeoplasmsDrug Resistance, NeoplasmAdenineAmino AcidsClustered Regularly Interspaced Short Palindromic RepeatsCytosineFluorouracilHumansp21-Activated KinasesProtein KinasesAdenineAmino AcidsCytosineFluorouracilp21-Activated KinasesPAK4 protein, humanProtein Kinases5-fluorouracil (5-FU)base editorsfunctional phosphoproteomicsRSK2screen

Identifiers

PMID36045417
PMCPMC9596822
OpenAlexW4293920536

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.