Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: Datacite
versions View all 2 versions
addClaim

Dataset related to article "Single-cell transcriptomic reveals functional heterogeneity of myeloid cells in glioma microenvironment"

Authors: B. Savino; A. Castagna; C.V. Locarno; C. Peano; L. Bello; M. Simonelli; R. Bonecchi; +1 Authors

Dataset related to article "Single-cell transcriptomic reveals functional heterogeneity of myeloid cells in glioma microenvironment"

Abstract

This record contains raw data related to article “single-cell transcriptomic reveals functional heterogeneity of myeloid cells in glioma microenvironment." High grade gliomas (HGG) are highly aggressive tumors with a particularly severe prognosis and an unmet medical need. HGG are characterized by a high degree of heterogeneity due to genetic and metabolic driving forces, either within and between individual patients. Temporal and spatial HGG heterogeneity contributes to response variability to conventional and adjuvant therapies among patients. HGG are also highly infiltrated by immune cells, tumor-associated macrophages (TAM) in particular, which are key drivers of the local immunosuppression supporting HGG progression and its resistance to immunomodulating therapeutic strategies. As the impact of HGG heterogeneity on macrophage biology remain poorly understood, we perform single-cell RNA sequencing, that reveals a large and dynamic myeloid landscape in patients with primary or secondary gliomas. To define the role in local immunosuppression and tumor progression, resident microglia and monocyte-derived macrophages are characterized, exhibiting additional heterogeneity across glioma subtypes. Understanding the immunosuppressive mechanisms operating in HGG is key to guide patients’ selection and optimize success rate of immunomodulating therapies.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 16
  • 16
    views
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
16
Related to Research communities