Evidence map›Paper›PMID 39833568›Full record

ArticleNature methods2025

UDA-seq: universal droplet microfluidics-based combinatorial indexing for massive-scale multimodal single-cell sequencing.

Yun Li, Zheng Huang, Lubin Xu, Yanling Fan, Jun Ping, Guochao Li, Yanjie Chen, Chengwei Yu, Qifei Wang, Turun Song and 17 more

Abstract read
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 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Enhancer Dynamics for Gene Regulation in the Cardiovascular System.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  14. Genome-wide single-cell perturbation screens with VIPerturb-seq.bioRxiv : the preprint server for biology · 2026
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Year in review 2025.Nature methods · 2026
    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.

Yun Li *China National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0000-0003-4667-9162
Zheng Huang *China National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0000-0003-4870-9134
Lubin Xu *Department of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.ORCID http://orcid.org/0000-0002-1291-7700
Yanling Fan *China National Center for Bioinformation, Beijing, China.
Jun Ping *Department of Respiratory and Critical Care, Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China.
Guochao LiChina National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0000-0002-1504-3471
Yanjie ChenChina National Center for Bioinformation, Beijing, China.
Chengwei YuChina National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0000-0003-4267-8496
Qifei WangChina National Center for Bioinformation, Beijing, China.
Turun SongDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, China.
Tao LinDepartment of Urology/Institute of Urology, West China Hospital, Sichuan University, Chengdu, China.
Mengmeng LiuChina National Center for Bioinformation, Beijing, China.
Yangqing XuChina National Center for Bioinformation, Beijing, China.
Na AiChina National Center for Bioinformation, Beijing, China.
Xini MengChina National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0009-0000-0698-1792
Qin QiaoChina National Center for Bioinformation, Beijing, China.
Hongbin JiUniversity of Chinese Academy of Sciences, Beijing, China.
Zhen QinKey Laboratory of Multi-Cell Systems, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.
Shuo JinHepato-pancreato-biliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Nan JiangHepato-pancreato-biliary Center, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0003-2129-4450
Minxian WangChina National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0000-0002-3753-508X
Shaokun ShuState Key Laboratory of Molecular Oncology, Peking University Cancer Hospital & Institute, Peking University International Cancer Institute, Peking University-Yunnan Baiyao International Medical Research Center, Beijing, China. shaokun_shu@bjmu.edu.cn.ORCID http://orcid.org/0000-0001-6839-2782
Feng ZhangDepartment of Respiratory and Critical Care, Joint Innovation Center for Engineering in Medicine, Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, China. fengzhang@wmu.edu.cn.ORCID http://orcid.org/0000-0002-6751-0377
Weiqi ZhangChina National Center for Bioinformation, Beijing, China. zhangwq@big.ac.cn.ORCID http://orcid.org/0000-0002-8885-5104
Guang-Hui LiuUniversity of Chinese Academy of Sciences, Beijing, China. ghliu@ioz.ac.cn.ORCID http://orcid.org/0000-0001-9289-8177
Limeng ChenDepartment of Nephrology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China. chenlimeng@pumch.cn.ORCID http://orcid.org/0000-0002-8425-5742
Lan JiangChina National Center for Bioinformation, Beijing, China. jiangl@big.ac.cn.ORCID http://orcid.org/0000-0003-2008-9631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of single-cell combinatorial indexing sequencing via droplet microfluidics presents an attractive approach for balancing cost, scalability, robustness and accessibility. However, existing methods often require tailored protocols for individual modalities, limiting their automation potential and clinical applicability. To address this, we introduce UDA-seq, a universal workflow that integrates a post-indexing step to enhance throughput and systematically adapt existing droplet-based single-cell multimodal methods. UDA-seq was benchmarked across various tissue and cell types, enabling several common multimodal analyses, including single-cell co-assay of RNA and VDJ, RNA and chromatin, and RNA and CRISPR perturbation. Notably, UDA-seq facilitated the efficient generation of over 100,000 high-quality single-cell datasets from three dozen frozen clinical biopsy specimens within a single-channel droplet microfluidics experiment. Downstream analysis demonstrated the robustness of this approach in identifying rare cell subpopulations associated with clinical phenotypes and exploring the vulnerability of cancer cells.

Indexed as

High-Throughput Nucleotide SequencingMicrofluidicsSingle-Cell AnalysisHumans

Identifiers

PMID39833568
PMCPMC12165859

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.