Evidence map›Paper›PMID 41279846›Full record

ArticlebioRxiv : the preprint server for biology2025

VISTA-FISH: Video Imaging with Spatial-Temporal Analysis by Fluorescent In Situ Hybridization.

Kun H Lee, Mingjia Yao, Javid Ghaemmaghami, Cynthia J DeLong, Neil Zhao, Jaimee Moline, Jonathan Sexton, Sami J Barmada, Joshua D Welch

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

9 authors.

Kun H LeeGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0009-0005-1565-4837
Mingjia YaoGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0009-0006-9572-6737
Javid GhaemmaghamiGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-0122-4466
Cynthia J DeLongGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Neil ZhaoGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0009-0007-6787-4959
Jaimee MolineGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Jonathan SextonDepartment of Pathology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-9244-5888
Sami J BarmadaDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-9604-968X
Joshua D WelchGilbert S. Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-5869-2391

Funding

Research Education ComponentP30AG072931 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Henry L Paulson · 2021 to 2026
$26.5M
Quantitative definition of cell identity from single-cell multi-omic, spatial, and perturbation dataR01HG010883 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joshua Welch · 2019 to 2026
$4.4M
RNA decay in amyotrophic lateral sclerosis and frontotemporal lobar degenerationR01NS097542 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARMADA, SAMI · 2016 to 2025
$3.8M
Biomedical Informatics and Data Science Training Program (BIDS-TP)T32GM141746 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ivo D Dinov, RYAN E MILLS · 2021 to 2026
$2.6M
Regulation and impact of shortened TDP43 isoforms in FTD and ALSR37NS113943 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BARMADA, SAMI · 2025 to 2025
$1.8M
Linking Single-Cell Transcriptomic, Morphological, and Temporal Signatures of Vulnerability in NeurodegenerationR01NS148028 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sami Barmada, Joshua Welch · 2026 to 2026
$602k
NHGRI NIH HHS R01 HG010883NIA NIH HHS P30 AG072931NIGMS NIH HHS T32 GM141746NINDS NIH HHS R01 NS097542NINDS NIH HHS R01 NS148028NINDS NIH HHS R37 NS113943
6 · The paper itself

Abstract

Performing live-cell microscopy and high-dimensional gene expression measurements on the same cells is crucial for unraveling the molecular mechanisms underlying complex temporal phenotypes, yet this remains challenging using traditional approaches. To address these limitations, we developed Video Imaging with Spatial-Temporal Analysis by FISH (VISTA-FISH), a technique that matches live-cell recordings of cultured cells with the expression of thousands of genes in the same cell at the end of the video. Moreover, VISTA-FISH can simultaneously detect CRISPR guide RNAs in pooled screens, enabling investigation into the fundamental underpinnings of cellular activity, organelle transport, and other pivotal cellular functions. Using VISTA-FISH, we measured gene expression and neuron activity in the same differentiating neurons. This combined single-cell transcriptomic and video data allowed us to link differentiation stage, subcellular transcript localization, and cell subtype with neuron activity. Using these measurements, we built a model to predict activity from expression. Finally, we performed a pooled CRISPR interference screen with live-cell lysosome imaging, identifying alterations in lysosome movement and morphology as well as gene expression in perturbed neurons. Collectively, these studies position VISTA-FISH as a powerful new tool for elucidating the molecular mechanisms underlying neuron activity, organelle trafficking, and other complex temporal phenotypes.

Identifiers

PMID41279846
PMCPMC12637628

What Socratic 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 Socratic graph.