Evidence map›Paper›PMID 42258443›Full record

ArticleJournal of visualized experiments : JoVE2026

Optimized Preparation of Whole Murine Tumor-Bearing Lung Tissue for Flow Cytometry and Single-Cell RNA-Sequencing.

Sicong Wang, Anastasiia Ivanova, Helen P Makarenkova, Katja A Lamia

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2026. 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

4 authors.

Sicong WangDepartment of Molecular and Cellular Biology, The Scripps Research Institute.
Anastasiia IvanovaDepartment of Molecular and Cellular Biology, The Scripps Research Institute.
Helen P MakarenkovaDepartment of Molecular and Cellular Biology, The Scripps Research Institute.
Katja A LamiaDepartment of Molecular and Cellular Biology, The Scripps Research Institute; klamia@sccripps.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

NSCLC accounts for approximately 85% of lung cancers, and Kirsten rat sarcoma (KRAS) is the most commonly mutated gene in NSCLC. Although management of NSCLC has advanced markedly in recent years, its heterogeneity and plasticity remain incompletely understood. Single-cell RNA sequencing (scRNA-seq) has become an essential tool for dissecting cellular heterogeneity in complex tissues such as the lung. However, generating high-quality single-cell suspensions from tumor-bearing lung tissue is challenging, particularly during tumor formation when the tissue becomes fibrotic and heterogeneous. A key requirement for successful scRNA-seq is the preparation of viable single cells with minimal processing-induced stress or damage. Here, a detailed step-by-step protocol is presented for isolating high-quality single-cell suspensions from both healthy and tumor-bearing mouse lung tissue in a Kras

Indexed as

Carcinoma, Non-Small-Cell LungFlow CytometryLungLung NeoplasmsSingle-Cell Gene Expression AnalysisAnimalsMiceRNA-Seq

Identifiers

PMID42258443

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.