Skip to content
DraconiticResearch
Search Sources API
197,693 studies31 sourcesUpdated 24 min ago
Peer-reviewedCC BY 4.0Frontiers in Immunology

A practical workflow for isolation and low-input multi-omic and functional profiling of neutrophils from tumor tissue

  1. 1Immunology, Genome Regulation and Cell Signaling Program, The Wistar Institute
  2. 2Department of Biostatistics and Bioinformatic, H. Lee Moffitt Cancer Center

Abstract

Tumor-associated neutrophils (TAN) are increasingly recognized as major regulators of tumor progression, metastasis, immune suppression, and response to immunotherapy. However, mechanistic studies of TAN remain technically challenging due to the frequently limited numbers recoverable from individual tumor specimens, susceptibility to activation during tissue processing, rapid apoptosis ex vivo , and poor survival following fluorescence-activated cell sorting (FACS). These limitations often compromise downstream molecular and functional analyses and contribute to substantial variability between laboratories. Importantly, the difficulty of recovering highly viable TAN has also limited direct functional validation of neutrophil states identified by transcriptomic profiling, leading many studies to infer functional heterogeneity primarily from transcriptional signatures. Here, we describe a practical workflow for the isolation of highly viable TAN from murine and human solid tumors. The protocol combines gentle tissue dissociation, sterile low-stress cell sorting conditions, post-sort handling, and downstream applications including single-cell RNA sequencing (scRNA-seq) with bioinformatic considerations, bulk RNA sequencing, CUT&RUN epigenomic profiling, mini suppression assays, ex vivo cultures, real time quantitative PCR and western blotting. Particular emphasis is placed on pre-analytical variables that critically affect TAN viability and on neutrophil-specific considerations for scRNA-seq quality control and interpretation. The workflow is designed to be adaptable to different tumor types and enables robust characterization of low-frequency neutrophil populations that are typically difficult to study using conventional approaches, facilitating experimental validation of the biological functions associated with transcriptionally defined TAN states.

Related

  1. Deep protease profiling deconvolutes protease signatures released from activated neutrophils
    Enoch Yu, Matthew L. Holding, Rex Huang +4
    iSciencePeer-reviewedCC BY-NC-ND 4.0Full textGeneral biochemistryCell biologyCell PressCrossrefEurope PMCPMC
  2. A culturomics-inspired multi-medium workflow for soil fungal isolation and ITS metabarcoding comparison.
    Charbel Elias, Aïcha Hamieh, Stéphane Ranque +1
    MethodsXPeer-reviewedCC BYFull textPlant biologyEurope PMC
  3. Functional alterations of neutrophils from β-thalassemia patients exposed to Pythium insidiosum: An ex vivo study
    Pasinee Sangsiwarit, Wisitsak Phoksawat, Nattiya Teawtrakul +4
    PLOS OnePeer-reviewedCC BY 4.0Full textCell biologyImmunologyPLOS
  4. Functional divergence of regulatory and conventional bovine neutrophils following Mycobacterium bovis infection
    Maïa Saint-Vanne, Badreddine Bounab, Sebastien Eymieux +10
    Journal of Innate ImmunityPeer-reviewedCC BY-NC 4.0Full textImmunologyHALEurope PMC
  5. Separation, isolation, and membrane lipid profiling of selectively vulnerable and resilient neurons
    M. Sadek, M. Yokomizo, E. Williams +6
    bioRxivPreprintCC BY-NCFull textNeurosciencebioRxiv
BibTeX
@article{ugolini2026practical,
  title = {{A practical workflow for isolation and low-input multi-omic and functional profiling of neutrophils from tumor tissue}},
  author = {Alessio Ugolini and Alessandra De Leo and Xiaoqing Yu and Filippo Veglia},
  journal = {Frontiers in Immunology},
  year = {2026},
  month = nov,
  doi = {10.3389/fimmu.2026.1989114},
  url = {https://www.frontiersin.org/articles/10.3389/fimmu.2026.1989114/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - A practical workflow for isolation and low-input multi-omic and functional profiling of neutrophils from tumor tissue
AU  - Alessio Ugolini
AU  - Alessandra De Leo
AU  - Xiaoqing Yu
AU  - Filippo Veglia
PY  - 2026
DA  - 2026/11/04
JO  - Frontiers in Immunology
DO  - 10.3389/fimmu.2026.1989114
UR  - https://www.frontiersin.org/articles/10.3389/fimmu.2026.1989114/full
AB  - Tumor-associated neutrophils (TAN) are increasingly recognized as major regulators of tumor progression, metastasis, immune suppression, and response to immunotherapy. However, mechanistic studies of TAN remain technically challenging due to the frequently limited numbers recoverable from individual tumor specimens, susceptibility to activation during tissue processing, rapid apoptosis ex vivo , and poor survival following fluorescence-activated cell sorting (FACS). These limitations often compromise downstream molecular and functional analyses and contribute to substantial variability between laboratories. Importantly, the difficulty of recovering highly viable TAN has also limited direct functional validation of neutrophil states identified by transcriptomic profiling, leading many studies to infer functional heterogeneity primarily from transcriptional signatures. Here, we describe a practical workflow for the isolation of highly viable TAN from murine and human solid tumors. The protocol combines gentle tissue dissociation, sterile low-stress cell sorting conditions, post-sort handling, and downstream applications including single-cell RNA sequencing (scRNA-seq) with bioinformatic considerations, bulk RNA sequencing, CUT&RUN epigenomic profiling, mini suppression assays, ex vivo cultures, real time quantitative PCR and western blotting. Particular emphasis is placed on pre-analytical variables that critically affect TAN viability and on neutrophil-specific considerations for scRNA-seq quality control and interpretation. The workflow is designed to be adaptable to different tumor types and enables robust characterization of low-frequency neutrophil populations that are typically difficult to study using conventional approaches, facilitating experimental validation of the biological functions associated with transcriptionally defined TAN states.
SN  - 1664-3224
ER  -