scholarly journals Mpath maps multi-branching single-cell trajectories revealing progenitor cell progression during development

2016 ◽  
Vol 7 (1) ◽  
Author(s):  
Jinmiao Chen ◽  
Andreas Schlitzer ◽  
Svetoslav Chakarov ◽  
Florent Ginhoux ◽  
Michael Poidinger
Keyword(s):  
Single Cell ◽  
Progenitor Cell ◽  
Cell Progression ◽  
Cell Trajectories

TAMI-36. TAMEP ARE BRAIN TUMOR PARENCHYMAL CELLS CONTROLLING NEOPLASTIC ANGIOGENESIS AND PROGRESSION

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi205-vi206
Author(s):  
Roland Kälin ◽  
Linzhi Cai ◽  
Yuping Li ◽  
Ines Hellmann ◽  
Rainer Glass
Keyword(s):  
Brain Tumor ◽  
Brain Tumors ◽  
Single Cell ◽  
Disease Progression ◽  
Progenitor Cell ◽  
Local Environment ◽  
Lineage Tracing ◽  
Immunofluorescence Analysis ◽  
Progenitor Cell Population ◽  
Parenchymal Cells

Abstract Aggressive brain tumors like glioblastoma depend on support by their local environment and subsets of tumor-parenchymal cells may promote specific phases of disease-progression. We investigated the glioblastoma microenvironment with transgenic lineage-tracing models, intravital imaging, single-cell transcriptomics, immunofluorescence analysis as well as histopathology and characterized a previously unacknowledged population of tumor-associated cells with a myeloid-like expression profile (TAMEP) that transiently appeared during glioblastoma growth. TAMEP of mice and humans were identified with specific markers. Strikingly, TAMEP did not derive from microglia or peripheral monocytes but were generated by a fraction of CNS-resident, SOX2-positive progenitors. Abrogation of this progenitor cell-population, by conditional Sox2-knockout, drastically reduced glioblastoma-vascularization and -size. TAMEP manipulation profoundly altered vessel function and strongly attenuated the blood-tumor barrier. Hence, our data indicate TAMEP and their progenitors as new targets for glioblastoma therapy.

scholarly journals Single cell trajectories reveal a developmental sequence from angiogenic capillary progenitors to mature high endothelial cells

2021 ◽  
Vol 35 (S1) ◽  
Author(s):  
Kevin Brulois ◽  
Anusha Rajaraman ◽  
Agata Szade ◽  
Sofia Nordling ◽  
Akira Takeda ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Single Cell ◽  
Developmental Sequence ◽  
Cell Trajectories

scholarly journals A single-cell survey of cellular hierarchy in acute myeloid leukemia

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Junqing Wu ◽  
Yanyu Xiao ◽  
Jie Sun ◽  
Huiyu Sun ◽  
Haide Chen ◽  
...  
Keyword(s):  
Single Cell ◽  
Myeloid Leukemia ◽  
Drug Targets ◽  
Progenitor Cell ◽  
Potential Drug ◽  
Smrt Sequencing ◽  
Cellular Hierarchy ◽  
Potential Drug Targets ◽  
Cancer Attractor ◽  
Acute Myeloid

Abstract Background Acute myeloid leukemia (AML) is a fatal hematopoietic malignancy and has a prognosis that varies with its genetic complexity. However, there has been no appropriate integrative analysis on the hierarchy of different AML subtypes. Methods Using Microwell-seq, a high-throughput single-cell mRNA sequencing platform, we analyzed the cellular hierarchy of bone marrow samples from 40 patients and 3 healthy donors. We also used single-cell single-molecule real-time (SMRT) sequencing to investigate the clonal heterogeneity of AML cells. Results From the integrative analysis of 191727 AML cells, we established a single-cell AML landscape and identified an AML progenitor cell cluster with novel AML markers. Patients with ribosomal protein high progenitor cells had a low remission rate. We deduced two types of AML with diverse clinical outcomes. We traced mitochondrial mutations in the AML landscape by combining Microwell-seq with SMRT sequencing. We propose the existence of a phenotypic “cancer attractor” that might help to define a common phenotype for AML progenitor cells. Finally, we explored the potential drug targets by making comparisons between the AML landscape and the Human Cell Landscape. Conclusions We identified a key AML progenitor cell cluster. A high ribosomal protein gene level indicates the poor prognosis. We deduced two types of AML and explored the potential drug targets. Our results suggest the existence of a cancer attractor.

scholarly journals Single-cell transcriptomics identifies a distinct luminal progenitor cell type in distal prostate invagination tips

2020 ◽  
Vol 52 (9) ◽  
pp. 908-918 ◽  
Author(s):  
Wangxin Guo ◽  
Lin Li ◽  
Juan He ◽  
Zhuang Liu ◽  
Ming Han ◽  
...  
Keyword(s):  
Single Cell ◽  
Progenitor Cell ◽  
Luminal Progenitor ◽  
Cell Type ◽  
Luminal Progenitor Cell

Marker-free detection of progenitor cell differentiation by analysis of Brownian motion in micro-wells

2015 ◽  
Vol 7 (2) ◽  
pp. 178-183 ◽  
Author(s):  
Farzad Sekhavati ◽  
Max Endele ◽  
Susanne Rappl ◽  
Anna-Kristina Marel ◽  
Timm Schroeder ◽  
...  
Keyword(s):  
Brownian Motion ◽  
Cell Differentiation ◽  
Single Cell ◽  
High Throughput ◽  
Progenitor Cell ◽  
Single Cell Level ◽  
Label Free ◽  
Cell Level ◽  
Marker Free

The analysis of Brownian motion is a sensitive and robust tool for a label-free high-throughput investigation of cell differentiation at the single-cell level.

scholarly journals Analyses of Multi-dimensional Single Cell Trajectories Quantify Transition Paths Between Nonequilibrium Steady States

2020 ◽  
Author(s):  
Weikang Wang ◽  
Jianhua Xing
Keyword(s):  
Single Cell ◽  
Epithelial To Mesenchymal Transition ◽  
A549 Cells ◽  
Time Lapse ◽  
State Theory ◽  
Nonequilibrium Steady States ◽  
Transition Path ◽  
Mesenchymal Transition ◽  
Transition Path Theory ◽  
Cell Trajectories

ABSTRACTA problem ubiquitous in almost all scientific areas is escape from a metastable state, or relaxation from one stationary distribution to a new one1. More than a century of studies lead to celebrated theoretical and computational developments such as the transition state theory and reactive flux formulation. Modern transition path sampling and transition path theory focus on an ensemble of trajectories that connect the initial and final states in a state space2, 3. However, it is generally unfeasible to experimentally observe these trajectories in multiple dimensions and compare to theoretical results. Here we report and analyze single cell trajectories of human A549 cells undergoing TGF-β induced epithelial-to-mesenchymal transition (EMT) in a combined morphology and protein texture space obtained through time lapse imaging. From the trajectories we identify parallel reaction paths with corresponding reaction coordinates and quasi-potentials. Studying cell phenotypic transition dynamics will provide testing grounds for nonequilibrium reaction rate theories.

scholarly journals Single cell transcriptome analysis reveals an essential role for Gata2b in hematopoietic lineage decisions in zebrafish

2019 ◽  
Author(s):  
Emanuele Gioacchino ◽  
Cansu Koyunlar ◽  
Hans de Looper ◽  
Madelon de Jong ◽  
Tomasz Dobrzycki ◽  
...  
Keyword(s):  
Single Cell ◽  
Transcriptome Analysis ◽  
Progenitor Cell ◽  
Adult Zebrafish ◽  
Hematopoietic Stem ◽  
Lineage Differentiation ◽  
Hematopoietic Lineage ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome ◽  
Monocytic Lineage

AbstractHematopoietic stem cells (HSCs) are tightly controlled to keep a balance between myeloid and lymphoid cell differentiation. Gata2 is a pivotal hematopoietic transcription factor required for HSC generation and maintenance. We generated a zebrafish mutant for the mammalianGata2orthologue,gata2b. We found that in adult zebrafish,gata2bis required for both neutrophilic- and monocytic lineage differentiation. Single cell transcriptome analysis revealed that the myeloid defect present in Gata2b deficient zebrafish arise in the most immature hematopoietic stem and progenitor cell (HSPC) compartment and that this population is instead committed towards the lymphoid and erythroid lineage. Taken together, we find that Gata2b is vital for the fate choice between the myeloid and lymphoid lineages.

scholarly journals The tumor suppressor WT1 drives progenitor cell progression and epithelialization to prevent Wilms tumorigenesis in human kidney organoids

2021 ◽  
Vol 16 (9) ◽  
pp. 2107-2117
Author(s):  
Verena Waehle ◽  
Rosemarie Ungricht ◽  
Philipp S. Hoppe ◽  
Joerg Betschinger
Keyword(s):  
Tumor Suppressor ◽  
Progenitor Cell ◽  
Human Kidney ◽  
Cell Progression ◽  
Kidney Organoids
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