Evidence map›Paper›PMID 41394655›Full record

ArticlebioRxiv : the preprint server for biology2025

Mapping embryonic mouse lung development using enhanced spatial transcriptomics.

Pengfei Zhang, Benjamin K Law, Katharine Goodwin, Michelle M Chan, Celeste M Nelson

Abstract readPreprint
PubMed Full text at PMC Publisher
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

5 · Who and what money

Authors and funding

5 authors.

Pengfei ZhangDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.
Benjamin K LawLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Katharine GoodwinLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Michelle M ChanLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
Celeste M NelsonDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA.

Funding

Mechanical Clocks During Fetal DevelopmentDP1HD111539 · NICHD · PRINCETON UNIVERSITY · PI NELSON, CELESTE M · 2022 to 2025
$5.7M
Building a Systematic, Comprehensive Mammalian Cell Fate MapDP2HD111537 · NICHD · PRINCETON UNIVERSITY · PI CHAN, MICHELLE · 2022 to 2025
$2.2M
Interplay between mechanical forces and retinoic acid in lung developmentR01HL164861 · NHLBI · PRINCETON UNIVERSITY · PI NELSON, CELESTE M · 2022 to 2025
$2.2M
Mechanical Forces and the Regulation of Airway Progenitor CellsR01HD099030 · NICHD · PRINCETON UNIVERSITY · PI NELSON, CELESTE M · 2019 to 2023
$1.7M
Uncovering the mesenchyme-specific roles of planar cell polarity in lung developmentR01HL166311 · NHLBI · PRINCETON UNIVERSITY · PI Danelle N Devenport, Celeste M Nelson · 2025 to 2026
$1.2M
NHLBI NIH HHS R01 HL164861NHLBI NIH HHS R01 HL166311NICHD NIH HHS DP1 HD111539NICHD NIH HHS DP2 HD111537NICHD NIH HHS R01 HD099030
6 · The paper itself

Abstract

The mature mammalian lung contains ~50 different cell types that are located in precise positions along and around the airway epithelial tree. Here, we investigated how these spatial patterns are progressively established during development. Specifically, we optimized a microfluidics-enabled, deterministic barcoding-based sequencing (DBiT-seq) workflow to achieve highly sensitive spatial mapping of tissue sections from early embryonic mouse lungs. Spatial mapping of epithelial populations revealed that

Indexed as

mechanical stressmorphodynamicspulmonary mesenchymesmooth muscle differentiationSpatial transcriptomic atlas

Identifiers

PMID41394655
PMCPMC12697356

What OpenQuestion holds

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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.