human meningioma
Recently Published Documents


TOTAL DOCUMENTS

113
(FIVE YEARS 8)

H-INDEX

24
(FIVE YEARS 2)

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi26-vi27
Author(s):  
Abrar Choudhury ◽  
Martha Cady ◽  
Calixto Lucas ◽  
Brisa Palikuqi ◽  
Ophir Klein ◽  
...  

Abstract BACKGROUND Meningiomas are the most common primary intracranial tumors in humans and dogs, but biologic drivers and cell types underlying meningeal tumorigenesis are incompletely understood. Here we integrate meningioma single-cell RNA sequencing with stem cell approaches to define a perivascular stem cell underlying vertebrate meningeal tumorigenesis. METHODS Single-cell RNA sequencing was performed on 57,114 cells from 8 human meningiomas, 54,607 cells from 3 dog meningiomas, and human meningioma xenografts in mice. Results were validated using immunofluorescence (IF), immunohistochemistry (IHC), and deconvolution of bulk RNA sequencing of 200 human meningiomas. Mechanistic and functional studies were performed using clonogenic and limiting dilution assays, xenografts, and genetically engineered mouse models. RESULTS Copy number variant identification from human meningioma single cells distinguished tumor cells with loss of chr22q from non-tumor cells with intact chr22q. A single cluster distinguished by expression of Notch3 and other cancer stem cell genes had an intermediate level of loss of chr22q, suggesting this cluster may represent meningioma stem cells. In support of this hypothesis, pseudotime trajectory analysis demonstrated transcriptomic progression starting from Notch3+ cells and encompassing all other meningioma cell types. Notch3+ meningioma cells had transcriptomic concordance to mural pericytes, and IF/IHC of prenatal and adult human meninges, as well as lineage tracing using a Notch3-CreERT2 allele in mice, confirmed Notch3+ cells were restricted to the perivascular stem cell niche in mammalian meningeal development and homeostasis. Integrating human and dog meningioma single cells revealed Notch3+ cells in tumor and non-tumor clusters in dog meningiomas. Notch3 IF/IHC and cell-type deconvolution of bulk RNA sequencing showed Notch3+ cells were enriched in high-grade human meningiomas. Notch3 overexpression in human meningioma cells increased clonogenic growth in vitro, and increased tumorigenesis and tumor growth in vivo, decreasing overall survival. CONCLUSIONS Notch3+ stem cells in the perivascular niche underlie vertebrate meningeal tumorigenesis.


Author(s):  
Liang Zhang ◽  
Yan Zhou ◽  
Binlin Wu ◽  
Shengjia Zhang ◽  
Ke Zhu ◽  
...  

2021 ◽  
Vol 35 (S1) ◽  
Author(s):  
Zylfi Memedovski ◽  
Robin Schneider ◽  
Matthew Erbst ◽  
Sasha Singh ◽  
Tina Moazezi ◽  
...  

2021 ◽  
Vol 1 ◽  
pp. 100551
Author(s):  
S. Huppertz ◽  
P. Baumgarten ◽  
C. Senft ◽  
J. Walter ◽  
D. Freitag

2020 ◽  
Vol 13 (12) ◽  
pp. 100852
Author(s):  
Caroline von Achenbach ◽  
Emilie Le Rhun ◽  
Felix Sahm ◽  
Sophie S. Wang ◽  
Philipp Sievers ◽  
...  

2020 ◽  
Vol 135 ◽  
pp. e12-e18 ◽  
Author(s):  
Jiaojiao Deng ◽  
Mengyin Ma ◽  
Daijun Wang ◽  
Hongda Zhu ◽  
Lingyang Hua ◽  
...  

2019 ◽  
Vol 46 (2) ◽  
pp. 125-141 ◽  
Author(s):  
H. Kim ◽  
K.‐J. Park ◽  
B.‐K. Ryu ◽  
D.‐H. Park ◽  
D.‐S. Kong ◽  
...  

2019 ◽  
Vol 92 ◽  
pp. 132-144 ◽  
Author(s):  
Sajad Sahab Negah ◽  
Pardis Oliazadeh ◽  
Ali Jahanbazi Jahan-Abad ◽  
Arezou Eshaghabadi ◽  
Fariborz Samini ◽  
...  

2018 ◽  
Author(s):  
David Gfeller ◽  
Philippe Guillaume ◽  
Justine Michaux ◽  
Hui-Song Pak ◽  
Roy T. Daniel ◽  
...  

AbstractHLA-I molecules bind short peptides and present them for recognition by CD8+ T cells. The length of HLA-I ligands typically ranges from 8 to 12 amino acids, but variability is observed across different HLA-I alleles. Here we collected recent in-depth HLA peptidomics data, including 12 newly generated HLA peptidomes (31,896 unique peptides) from human meningioma samples, to analyze the peptide length distribution and multiple specificity across 84 different HLA-I alleles. We observed a clear clustering of HLA-I alleles with distinct peptide length distributions, which enabled us to study the structural basis of peptide length distributions and predict peptide length distributions from HLA-I sequences. We further identified multiple specificity in several HLA-I molecules and validated these observations with binding assays. Explicitly modeling peptide length distribution and multiple specificity improved predictions of naturally presented HLA-I ligands, as demonstrated in an independent benchmarking based on the new human meningioma samples.


Sign in / Sign up

Export Citation Format

Share Document