Evidence map›Paper›PMID 37815732›Full record

ArticleCellular and molecular life sciences : CMLS2023

piggyBac-mediated genomic integration of linear dsDNA-based library for deep mutational scanning in mammalian cells.

Yi Wang, Yanjie Zhao, Yifan Li, Kaili Zhang, Yan Fan, Bo Li, Weijun Su, Shuai Li

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

8 authors at 3 institutions in 1 country.

Yi Wang *Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Yanjie Zhao *Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Yifan Li *Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Kaili ZhangDepartment of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
Yan FanSchool of Medicine, Nankai University, Tianjin, 300071, China.
Bo LiBeijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing, China.
Weijun SuSchool of Medicine, Nankai University, Tianjin, 300071, China. suweijun@nankai.edu.cn.
Shuai LiDepartment of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China. shuaili@tmu.edu.cn.ORCID http://orcid.org/0000-0001-5079-4425
Tianjin Medical University Cancer Institute and Hospital · CNNankai University · CNBeijing Institute of Technology · CN

Funding

Fundamental Research Funds for the Central Universities 63211138Fundamental Research Funds for the Central Universities 63221425Fundamental Research Funds for the Central Universities 63231222National Natural Science Foundation of China 31870860National Natural Science Foundation of China 31971388Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-012A
6 · The paper itself

Abstract

Deep mutational scanning (DMS) makes it possible to perform massively parallel quantification of the relationship between genetic variants and phenotypes of interest. However, the difficulties in introducing large variant libraries into mammalian cells greatly hinder DMS under physiological states. Here, we developed two novel strategies for DMS library construction in mammalian cells, namely 'piggyBac-in vitro ligation' and 'piggyBac-in vitro ligation-PCR'. For the first strategy, we took the 'in vitro ligation' approach to prepare high-diversity linear dsDNAs, and integrate them into the mammalian genome with a piggyBac transposon system. For the second strategy, we further added a PCR step using the in vitro ligation dsDNAs as templates, for the construction of high-content genome-integrated libraries via large-scale transfection. Both strategies could successfully establish genome-integrated EGFP-chromophore-randomized libraries in HEK293T cells and enrich the green fluorescence-chromophore amino-acid sequences. And we further identified a novel transcriptional activator peptide with the 'piggyBac-in vitro ligation-PCR' strategy. Our novel strategies greatly facilitate the construction of large variant DMS library in mammalian cells, and may have great application potential in the future.

Indexed as

DNA Transposable ElementsGenomicsAnimalsHEK293 CellsHumansMammalsMutationTransfectionDNA Transposable ElementsEnhanced green fluorescent protein (EGFP)In vitro ligationpiggyBac transposon systemTranscriptional activator peptide

Identifiers

PMID37815732
PMCPMC11071730
OpenAlexW4387473224

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.