Evidence map›Paper›PMID 40826206›Full record

ArticleNature methods2025

High-throughput profiling of chemical-induced gene expression across 93,644 perturbations.

Lei Xiang, Yumei Wang, Wei Shao, Qingzhou Li, Xiankuo Yu, Mingming Wei, Yu Gui, Shengrong Li, Pan Qin, Chao Hu and 17 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

27 authors.

Lei Xiang *School of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID http://orcid.org/0009-0006-6570-1926
Yumei Wang *School of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Wei Shao *Iomics Biosciences Inc., Beijing, China.
Qingzhou LiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xiankuo YuSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Mingming WeiSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yu GuiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Shengrong LiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Pan QinSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Chao HuSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Guochen ZhangSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xianwen ZhangSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jiawen WangIomics Biosciences Inc., Beijing, China.
Yingying LiIomics Biosciences Inc., Beijing, China.ORCID http://orcid.org/0000-0002-1971-2556
Jun AnSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yan LuoSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yile LiaoSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jinghong DengSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xinran TaiSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Richard Y XuDepartment of Biology, University of California, San Diego, La Jolla, CA, USA.
Lijun HuangSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Dale GuoSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Guanbin ZhangSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID http://orcid.org/0000-0003-2037-343X
Zhi XieState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-5589-4836
Yun DengSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China. dengyun@cdutcm.edu.cn.ORCID http://orcid.org/0000-0002-3428-8992
Junquan XuIomics Biosciences Inc., Beijing, China. jqxu@iomicsbio.com.ORCID http://orcid.org/0009-0005-3482-0159
Dong WangSchool of Basic Medical Sciences, State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China. dwang@cdutcm.edu.cn.ORCID http://orcid.org/0000-0001-7877-7440

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82172723
6 · The paper itself

Abstract

In this Resource, we present an extensive dataset of chemical-induced gene signatures (CIGS), encompassing expression patterns of 3,407 genes regulating key biological processes in 2 human cell lines exposed to 13,221 compounds across 93,664 perturbations. This dataset encompasses 319,045,108 gene expression events, generated through 2 high-throughput technologies: the previously documented high-throughput sequencing-based high-throughput screening (HTS

Indexed as

Gene Expression ProfilingHigh-Throughput Nucleotide SequencingHigh-Throughput Screening AssaysTranscriptomeCell LineHumansSmall Molecule LibrariesSmall Molecule Libraries

Identifiers

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.