scholarly journals Estimation of cell lineage trees by maximum-likelihood phylogenetics

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Jean Feng ◽  
William S. DeWitt III ◽  
Aaron McKenna ◽  
Noah Simon ◽  
Amy D. Willis ◽  
...  
2018 ◽  
Vol 439 ◽  
pp. 160-165 ◽  
Author(s):  
Tanja Stadler ◽  
Stavroula Skylaki ◽  
Konstantinos D. Kokkaliaris ◽  
Timm Schroeder

Blood ◽  
2012 ◽  
Vol 120 (3) ◽  
pp. 603-612 ◽  
Author(s):  
Liran I. Shlush ◽  
Noa Chapal-Ilani ◽  
Rivka Adar ◽  
Neta Pery ◽  
Yosef Maruvka ◽  
...  

Abstract Human cancers display substantial intratumoral genetic heterogeneity, which facilitates tumor survival under changing microenvironmental conditions. Tumor substructure and its effect on disease progression and relapse are incompletely understood. In the present study, a high-throughput method that uses neutral somatic mutations accumulated in individual cells to reconstruct cell lineage trees was applied to hundreds of cells of human acute leukemia harvested from multiple patients at diagnosis and at relapse. The reconstructed cell lineage trees of patients with acute myeloid leukemia showed that leukemia cells at relapse were shallow (divide rarely) compared with cells at diagnosis and were closely related to their stem cell subpopulation, implying that in these instances relapse might have originated from rarely dividing stem cells. In contrast, among patients with acute lymphoid leukemia, no differences in cell depth were observed between diagnosis and relapse. In one case of chronic myeloid leukemia, at blast crisis, most of the cells at relapse were mismatch-repair deficient. In almost all leukemia cases, > 1 lineage was observed at relapse, indicating that diverse mechanisms can promote relapse in the same patient. In conclusion, diverse relapse mechanisms can be observed by systematic reconstruction of cell lineage trees of patients with leukemia.


2020 ◽  
Author(s):  
Liana Fasching ◽  
Yeongjun Jang ◽  
Simone Tomasi ◽  
Jeremy Schreiner ◽  
Livia Tomasini ◽  
...  

AbstractPost-zygotic mosaic mutations can be used to track cell lineages in humans. By using cell cloning and induced pluripotent cell lines, we analyzed early cell lineages in two living individuals (a patient and a control), and a postmortem human specimen. Of ten reconstructed post-zygotic divisions, none resulted in balanced contributions of daughter lineages to tissues. In both living individuals one of two lineages from the first cleavage was dominant across tissues, with 90% frequency in blood. We propose that the efficiency of DNA repair contributes to lineage imbalance. Allocation of lineages in postmortem brain correlated with anterior-posterior axis, associating lineage history with cell fate choices in embryos. Recurrence of germline variants as mosaic suggested that certain loci may be particularly susceptible to mutagenesis. We establish a minimally invasive framework for defining cell lineages in any living individual, which paves the way for studying their relevance in health and disease.


Cell Systems ◽  
2016 ◽  
Vol 3 (5) ◽  
pp. 480-490.e13 ◽  
Author(s):  
Justin Feigelman ◽  
Stefan Ganscha ◽  
Simon Hastreiter ◽  
Michael Schwarzfischer ◽  
Adam Filipczyk ◽  
...  

2006 ◽  
Vol 120 (1) ◽  
pp. 106-120 ◽  
Author(s):  
Michelle K. Manske ◽  
Neta S. Zuckerman ◽  
Michael M. Timm ◽  
Stephanie Maiden ◽  
Hanna Edelman ◽  
...  

1999 ◽  
Vol 36 (04) ◽  
pp. 1225-1233 ◽  
Author(s):  
R. M. Huggins ◽  
I. V. Basawa

The bifurcating autoregressive model has been used previously to model cell lineage data. A feature of this model is that each line of descendants from an initial cell follows an AR(1) model, and that the environmental effects on sisters are correlated. However, this model concentrates on modelling the correlations between mother and daughter cells and between sister cells, and does not explain the large correlations between more distant relatives observed by some authors. Here the model is extended, firstly by allowing lines of descent to follow an ARMA(p,q) model rather than an AR(1) model, and secondly by allowing correlations between the environmental effects of relatives more distant than sisters. The models are applied to several data sets consisting of independent cell lineage trees.


2017 ◽  
Author(s):  
Bastiaan Spanjaard ◽  
Bo Hu ◽  
Nina Mitic ◽  
Jan Philipp Junker

A key goal of developmental biology is to understand how a single cell transforms into a full-grown organism consisting of many different cell types. Single-cell RNA-sequencing (scRNA-seq) has become a widely-used method due to its ability to identify all cell types in a tissue or organ in a systematic manner 1–3. However, a major challenge is to organize the resulting taxonomy of cell types into lineage trees revealing the developmental origin of cells. Here, we present a strategy for simultaneous lineage tracing and transcriptome profiling in thousands of single cells. By combining scRNA-seq with computational analysis of lineage barcodes generated by genome editing of transgenic reporter genes, we reconstruct developmental lineage trees in zebrafish larvae and adult fish. In future analyses, LINNAEUS (LINeage tracing by Nuclease-Activated Editing of Ubiquitous Sequences) can be used as a systematic approach for identifying the lineage origin of novel cell types, or of known cell types under different conditions.


2019 ◽  
Vol 15 (2) ◽  
pp. e1006745 ◽  
Author(s):  
Damien G. Hicks ◽  
Terence P. Speed ◽  
Mohammed Yassin ◽  
Sarah M. Russell
Keyword(s):  

2020 ◽  
Vol 506 ◽  
pp. 110424
Author(s):  
Tanja Stadler ◽  
Stavroula Skylaki ◽  
Konstantinos D. Kokkaliaris ◽  
Timm Schroeder

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