Evidence map›Paper›PMID 39734523›Full record

ArticleFundamental research2024

Droplet-engineered organoids recapitulate parental tissue transcriptome with inter-organoid homogeneity and inter-tumor cell heterogeneity.

Haoran Zhao, Yifan Cheng, Jiawei Li, Jiaqi Zhou, Haowei Yang, Feng Yu, Feihong Yu, Davit Khutsishvili, Zitian Wang, Shengwei Jiang and 4 more

Abstract read
In one paragraph

Article in Fundamental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  6. Article
  7. Review
  8. Breaking the mold: 3D cell cultures reshaping the future of cancer research.Frontiers in cell and developmental biology · 2024
    Review
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

14 authors.

Haoran ZhaoTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Yifan ChengTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Jiawei LiTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Jiaqi ZhouTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Haowei YangTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Feng YuTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Feihong YuTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Davit KhutsishviliTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Zitian WangTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Shengwei JiangTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Kaixin TanDepartment of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong 999077, China.
Yi KuangDepartment of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong 999077, China.
Xinhui XingTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.
Shaohua MaTsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoids are expected to function as effective human organ models for precision cancer studies and drug development. Currently, primary tissue-derived organoids, termed non-engineered organoids (NEOs), are produced by manual pipetting or liquid handling that compromises organoid-organoid homogeneity and organoid-tissue consistency. Droplet-based microfluidics enables automated organoid production with high organoid-organoid homogeneity, organoid-tissue consistency, and a significantly improved production spectrum. It takes advantage of droplet-encapsulation of defined populations of cells and droplet-rendered microstructures that guide cell self-organization. Herein, we studied the droplet-engineered organoids (DEOs), derived from mouse liver tissues and human liver tumors, by using transcriptional analysis and cellular deconvolution on bulk RNA-seq data. The characteristics of DEOs are compared with the parental liver tissues (or tumors) and NEOs. The DEOs are proven higher reproducibility and consistency with the parental tissues, have a high production spectrum and shortened modeling time, and possess inter-organoid homogeneity and inter-tumor cell heterogeneity.

Indexed as

Droplet-based microfluidicsDroplet-engineered organoidLiver organoidRNA-seqTumor

Identifiers

PMID39734523
PMCPMC11670719

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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.