Evidence map›Paper›PMID 37080201›Full record

ArticleCell2023

Multimodal charting of molecular and functional cell states via in situ electro-sequencing.

Qiang Li, Zuwan Lin, Ren Liu, Xin Tang, Jiahao Huang, Yichun He, Xin Sui, Weiwen Tian, Hao Shen, Haowen Zhou and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  5. Article
  6. A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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  9. Article
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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

15 authors.

Qiang LiJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA.
Zuwan LinBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.
Ren LiuJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA.
Xin TangJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Jiahao HuangBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Yichun HeJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Xin SuiBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Weiwen TianJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA.
Hao ShenJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA.
Haowen ZhouBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Hao ShengJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA.
Hailing ShiBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ling XiaoCardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Cardiovascular Disease Initiative and Precision Cardiology Laboratory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Xiao WangBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: xwangx@mit.edu.
Jia LiuJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA 02134, USA. Electronic address: jia_liu@seas.harvard.edu.

Funding

Charting human islet maturation via combined soft nanoelectronics and single-cell spatial transcriptomicsDP1DK130673 · NIDDK · HARVARD UNIVERSITY · PI LIU, JIA · 2021 to 2025
$4.3M
BIOREPOSITORY OF HUMAN INDUCED PLURIPOTENT STEM CELLSFORCARDIOVASCULAR DISEASES (BHIPSC-CVD) - TASK AREA B75N92020D00019 · NHLBI · STANFORD UNIVERSITY · PI WU, JOSEPH · 2021 to 2024
$4.0M
Single-cell in situ analysis of RNA modifications in intact tissuesDP2GM146245 · NIGMS · BROAD INSTITUTE, INC. · PI WANG, XIAO · 2021 to 2024
$2.4M
"Building a robust organoid platform to study the developmental potential and physiology of human specific cortical cell types"RF1MH123948 · NIMH · HARVARD UNIVERSITY · PI LIU, JIA, RAMANATHAN, SHARAD · 2020 to 2020
$1.8M
NHLBI NIH HHS 75N92020D00019NIDDK NIH HHS DP1 DK130673NIGMS NIH HHS DP2 GM146245NIMH NIH HHS RF1 MH123948
6 · The paper itself

Abstract

Paired mapping of single-cell gene expression and electrophysiology is essential to understand gene-to-function relationships in electrogenic tissues. Here, we developed in situ electro-sequencing (electro-seq) that combines flexible bioelectronics with in situ RNA sequencing to stably map millisecond-timescale electrical activity and profile single-cell gene expression from the same cells across intact biological networks, including cardiac and neural patches. When applied to human-induced pluripotent stem-cell-derived cardiomyocyte patches, in situ electro-seq enabled multimodal in situ analysis of cardiomyocyte electrophysiology and gene expression at the cellular level, jointly defining cell states and developmental trajectories. Using machine-learning-based cross-modal analysis, in situ electro-seq identified gene-to-electrophysiology relationships throughout cardiomyocyte development and accurately reconstructed the evolution of gene expression profiles based on long-term stable electrical measurements. In situ electro-seq could be applicable to create spatiotemporal multimodal maps in electrogenic tissues, potentiating the discovery of cell types and gene programs responsible for electrophysiological function and dysfunction.

Indexed as

ElectronicsSequence Analysis, RNACell DifferentiationHumansInduced Pluripotent Stem CellsMyocytes, CardiacSingle-Cell AnalysisTranscriptomecardiomyocyteelectrophysiologyflexible bioelectronicshuman-induced pluripotent stem cellin situ RNA sequencingmultimodal analysisneuronspatial transcriptomicsstretchable electronics

Identifiers

PMID37080201
PMCPMC11259179

What OpenQuestion holds

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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.