Data Sheet 1_MRI-based radiomic clustering identifies a glioblastoma subtype enriched for neural stemness and proliferative programs.csv

Data Sheet 1_MRI-based radiomic clustering identifies a glioblastoma subtype enriched for neural stemness and proliferative programs.csv

Introduction<p>Glioblastoma (GBM) is a highly aggressive brain tumor with a median survival of only 15 months. A major challenge in GBM management is the pronounced inter- and intratumoral heterogeneity, which complicates prognosis and therapy. Radiomics, the quantitative extraction of feature...

Uloženo v:

Podrobná bibliografie
Hlavní autor:	Zhongyi Zhang (219440) (author)
Další autoři:	Yang Liu (4829) (author), Zhicong Zhang (2076790) (author), Tian Gui (11355239) (author), Youhui Chen (9027149) (author), Qian Chen (18883) (author), Xiufu Wu (22678673) (author), Li Sun (4624) (author), Sujie Li (11215965) (author), Shuyang Wei (15192936) (author)
Vydáno:	2025
Témata:	Oncology and Carcinogenesis not elsewhere classified radiogenomics glioblastoma single-cell transcriptomics spatial transcriptomics neural stem-like cells tumor heterogeneity
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky

Data Sheet 2_MRI-based radiomic clustering identifies a glioblastoma subtype enriched for neural stemness and proliferative programs.pdf
Autor: Zhongyi Zhang (219440)
Vydáno: (2025)

Data Sheet 1_Integrating radiomics, artificial intelligence, and molecular signatures in bone and soft tissue tumors: advances in diagnosis and prognostication.docx
Autor: Guochao Li (17194597)
Vydáno: (2025)

Data Sheet 2_Integrating radiomics, artificial intelligence, and molecular signatures in bone and soft tissue tumors: advances in diagnosis and prognostication.docx
Autor: Guochao Li (17194597)
Vydáno: (2025)

trained image-CAF model of DiRG
Autor: HUIJUN LI (17609367)
Vydáno: (2025)

Image 1_Single-cell and spatial atlas of glioblastoma heterogeneity: characterizing the PCLAF+ subtype and YEATS4’s oncogenic role.jpeg
Autor: Siqi Ma (2932161)
Vydáno: (2025)

In vivo midazolam intervention in mouse glioblastoma: RNA-seq dataset
Autor: Zhiming Ye (22459450)
Vydáno: (2025)

Additional file 10 of Drug resistant glioblastoma stem cells exhibit enriched stemness signatures and share extracellular matrix overexpression
Autor: Lance L. Estabillo (22508351)
Vydáno: (2025)

Additional file 9 of Drug resistant glioblastoma stem cells exhibit enriched stemness signatures and share extracellular matrix overexpression
Autor: Lance L. Estabillo (22508351)
Vydáno: (2025)

Additional file 4 of Drug resistant glioblastoma stem cells exhibit enriched stemness signatures and share extracellular matrix overexpression
Autor: Lance L. Estabillo (22508351)
Vydáno: (2025)

Additional file 2 of Drug resistant glioblastoma stem cells exhibit enriched stemness signatures and share extracellular matrix overexpression
Autor: Lance L. Estabillo (22508351)
Vydáno: (2025)

Additional file 1 of Drug resistant glioblastoma stem cells exhibit enriched stemness signatures and share extracellular matrix overexpression
Autor: Lance L. Estabillo (22508351)
Vydáno: (2025)

Table 1_Single-cell/spatial integration reveals an MES2-like glioblastoma program orchestrated by immune communication and regulatory networks.docx
Autor: Chonghui Zhang (21404543)
Vydáno: (2025)

Table 2_Single-cell/spatial integration reveals an MES2-like glioblastoma program orchestrated by immune communication and regulatory networks.xlsx
Autor: Chonghui Zhang (21404543)
Vydáno: (2025)

Table 3_Single-cell/spatial integration reveals an MES2-like glioblastoma program orchestrated by immune communication and regulatory networks.docx
Autor: Chonghui Zhang (21404543)
Vydáno: (2025)

Data Sheet 6_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 5_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 7_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 9_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 8_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 11_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 10_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 1_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 2_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xlsx
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 4_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.csv
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 3_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xls
Autor: Yifan Xu (87249)
Vydáno: (2025)

Data Sheet 2_Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells by machine learning.xlsx
Autor: Yifan Xu (87249)
Vydáno: (2025)

Table 1_Radiomics features from the peritumoral region can be associated with the epilepsy status of glioblastoma patients.xlsx
Autor: Yeong Chul Yun (22119376)
Vydáno: (2025)

Data Sheet 1_Radiomics features from the peritumoral region can be associated with the epilepsy status of glioblastoma patients.pdf
Autor: Yeong Chul Yun (22119376)
Vydáno: (2025)

Multimerin-1 modulates macrophage M2 polarization and enhances tumor cell stemness in glioblastoma
Autor: Chao Huang (109404)
Vydáno: (2025)

Data Sheet 1_The protease-activated receptors are expressed in glioblastoma and differentially modulate adherent versus stem-like growth of LN-18 GBM cells.pdf
Autor: Sandra Bien-Möller (543320)
Vydáno: (2025)

Data Sheet 1_Chrysin sensitizes glioblastoma cells and spheroids to temozolomide treatment by reducing EMT and stemness phenotypes, as well as targeting multidrug resistance proteins.docx
Autor: Yunus Aksüt (22163416)
Vydáno: (2025)

MRI Images
Autor: Break Through Cancer (20591186)
Vydáno: (2025)

Original dataset for Bacteria loaded with glucose polymer and photosensitive ICG silicon-nanoparticles for glioblastoma photothermal immunotherapy
Autor: Rong Sun (532754)
Vydáno: (2025)

Data Sheet 1_Better performance of cerebral blood volume images synthesized from arterial spin labeling and standard MRI in separating glioblastoma recurrence from treatment response than arterial spin labeling.docx
Autor: Danyang Wu (6751385)
Vydáno: (2025)

Original dataset of repeat experiments for Bacteria loaded with glucose polymer and photosensitive ICG silicon-nanoparticles for glioblastoma photothermal immunotherapy
Autor: Rong Sun (532754)
Vydáno: (2025)

Original dataset of repeat experiments for Bacteria loaded with glucose polymer and photosensitive ICG silicon-nanoparticles for glioblastoma photothermal immunotherapy
Autor: Rong Sun (532754)
Vydáno: (2025)

Repeat Fig. 4 original dataset for Bacteria loaded with glucose polymer and photosensitive ICG silicon-nanoparticles for glioblastoma photothermal immunotherapy
Autor: Rong Sun (532754)
Vydáno: (2025)

Supplementary Figure S1 from Combined Inactivation of MEK and mTOR Can Lead to Synergistic Cell Death in Glioblastoma Models and Associates with NF1 Deficiency and a Mesenchymal Subtype
Autor: Fleur M.G. Cornelissen (22761190)
Vydáno: (2025)

Supplementary Figure S2 from Combined Inactivation of MEK and mTOR Can Lead to Synergistic Cell Death in Glioblastoma Models and Associates with NF1 Deficiency and a Mesenchymal Subtype
Autor: Fleur M.G. Cornelissen (22761190)
Vydáno: (2025)

Supplementary Figure S3 from Combined Inactivation of MEK and mTOR Can Lead to Synergistic Cell Death in Glioblastoma Models and Associates with NF1 Deficiency and a Mesenchymal Subtype
Autor: Fleur M.G. Cornelissen (22761190)
Vydáno: (2025)