Protocol to extract and sort GFP-tagged nuclei from lung adenocarcinoma tissue in genetically engineered mouse models

Here, we present a protocol to isolate GFP-positive nuclei from whole lung tumor tissue from a genetically engineered mouse model (GEMM) for downstream analysis. First, we outline the procedure for the isolation of fixed GFP-positive nuclei for utilization in chromatin immunoprecipitation followed by sequencing (ChIP-seq) assay. We also describe the sorting of unfixed nuclei for whole-genome methylation analysis. This nuclei collection methodology can be adapted for the retrieval of other fluorescently tagged nuclei and/or for use in other downstream analysis. For complete details on the use and execution of this protocol, please refer to Gillis et al.<sup>1</sup>.

Authors

Institutions

Publication Details

Journal
STAR Protocols
Published
2026-01-08
DOI
https://doi.org/10.1016/j.xpro.2025.104328
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Protocol to extract and sort GFP-tagged nuclei from lung adenocarcinoma tissue in genetically engineered mouse models

Katherine L. Gillis, Eric L. Snyder, Walter A. Orellana
STAR Protocols
Lung Cancer Treatments and Mutations
article

Protocol to extract and sort GFP-tagged nuclei from lung adenocarcinoma tissue in genetically engineered mouse models

Katherine L. Gillis, Eric L. Snyder, Walter A. Orellana
article en

Abstract

Here, we present a protocol to isolate GFP-positive nuclei from whole lung tumor tissue from a genetically engineered mouse model (GEMM) for downstream analysis. First, we outline the procedure for the isolation of fixed GFP-positive nuclei for utilization in chromatin immunoprecipitation followed by sequencing (ChIP-seq) assay. We also describe the sorting of unfixed nuclei for whole-genome methylation analysis. This nuclei collection methodology can be adapted for the retrieval of other fluorescently tagged nuclei and/or for use in other downstream analysis. For complete details on the use and execution of this protocol, please refer to Gillis et al.<sup>1</sup>.

STAR ProtocolsVol. 7(1)
Huntsman Cancer Institute (US)
Openalex Percentile: Top 94%
Lung Cancer Treatments and Mutations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.