Evidence map›Paper›PMID 41903144›Full record

ArticleSTAR protocols2026

Protocol to identify SINE-VNTR-Alu regulators using genome-wide screening in human K562 cells.

Ziqiang Zhou, Shicong Zhu, Deng Pan, Hsiang-Ying Lee, Nian Liu

Abstract read
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

5 authors.

Ziqiang ZhouState Key Laboratory of Green Biomanufacturing, Tsinghua-Peking Joint Center for Life Sciences, Center for Synthetic and Systems Biology, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, China. Electronic address: zhouzq20@tsinghua.org.cn.
Shicong ZhuState Key Laboratory of Membrane Biology, Peking-Tsinghua Center for Life Sciences, Beijing Advanced Center of RNA Biology, School of Life Sciences, Peking University, Beijing, China.
Deng PanSchool of Basic Medical Sciences, Tsinghua-Peking Joint Center for Life Sciences, Tsinghua University, Beijing, China.
Hsiang-Ying LeeState Key Laboratory of Membrane Biology, Peking-Tsinghua Center for Life Sciences, Beijing Advanced Center of RNA Biology, School of Life Sciences, Peking University, Beijing, China.
Nian LiuState Key Laboratory of Green Biomanufacturing, Tsinghua-Peking Joint Center for Life Sciences, Center for Synthetic and Systems Biology, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing, China. Electronic address: liunian88@tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The composite transposon SINE-VNTR-Alu (SVA) is hominid-specific and composed of five parts, but the regulatory mechanism of SVA transcription is still unclear. Here, we present a protocol to identify SVA regulators using genome-wide screening in human K562 cells. We describe steps for constructing an SVA-GFP reporter and performing genome-wide CRISPR-Cas9 screening in human K562 cells to identify genes that control SVA transcription. This protocol provides a representative procedure of genome-wide screening for transposon regulators. For complete details on the use and execution of this protocol, please refer to Zhou et al.

Indexed as

DNA Transposable ElementsCRISPR-Cas SystemsGenome, HumanHumansK562 CellsDNA Transposable ElementsCell-based AssaysCell cultureCRISPRGeneticsGenomicsSequence analysisSequencing

Identifiers

PMID41903144
PMCPMC13058971

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.