Project description:The pairing of CRISPR/Cas9-based gene editing with massively parallel single-cell readouts now enables large-scale lineage tracing. However, the rapid growth in complexity of data from these assays has outpaced our ability to accurately infer phylogenetic relationships. First, we introduce Cassiopeia - a suite of scalable maximum parsimony approaches for tree reconstruction. Second, we provide a simulation framework for evaluating algorithms and exploring lineage tracer design principles. Finally, we generate the most complex experimental lineage tracing dataset to date, 34,557 human cells continuously traced over 15 generations, and use it for benchmarking phylogenetic inference approaches. We show that Cassiopeia outperforms traditional methods by several metrics and under a wide variety of parameter regimes, and provide insight into the principles for the design of improved Cas9-enabled recorders. Together these should broadly enable large-scale mammalian lineage tracing efforts.Cassiopeia and its benchmarking resources are publicly available at https://www.github.com/YosefLab/Cassiopeia.
Project description:Genome profiling of primary tumors and matched metastases from a BALB-NeuT murine breast cancer transplantation model. The first goal of this study was to investigate the differences of primary tumors and metastases with regard to copy number alterations. The second goal was to infer phylogenetic trees reflecting the evolutionary paths of primary tumors and their derived metastases (only mice with at least one metastasis were used for phylogenetic analyses).
2016-09-30 | GSE87469 | GEO
Project description:Freziera phylogenomics: phylogenetic complexity and data artifacts
| PRJNA1036580 | ENA
Project description:The complete chloroplast genome of Artemisia kaschgarica (Asteraceae) and phylogenetic analysis
Project description:Temperature profoundly influences the physiology, survival, and distribution of marine ectotherms, including mollusks. Transient receptor potential (TRP) channels are conserved thermosensory proteins in metazoans, yet their evolutionary diversification and functional roles in gastropod mollusks remain unclear. In this study, we present a comprehensive phylogenetic classification and expression analysis of TRP-like channel genes in Pacific abalone (Haliotis discus hannai). Through the extensive mining of genome and transcriptome datasets, we identified 49 TRP-like genes and categorized them into nine families from two major groups: Group 1 (TRPA, TRPC, TRPM, TRPN, TRPS, TRPV, and TRPVL) and Group 2 (TRPP and TRPML), along with two unclassified TRP-like genes. Phylogenetic analysis incorporating sequences from lophotrochozoans, choanoflagellates, fungi, and green algae outlined a lineage-specific TRP-like gene expansion in mollusks. Spatial expression profiling revealed distinct tissue-specific patterns: TRPC-, TRPM-, and TRPP-like genes were enriched in sensory organs (i.e., the eyes and tentacles), whereas TRPM- and TRPV-like genes were expressed predominantly in respiratory and metabolic tissues (i.e., the gills and hepatopancreas). Under acute thermal stress, RNA sequencing and real-time quantitative PCR identified several thermoresponsive TRP paralogs, including TRPA1- and TRPV-like genes, exhibiting distinct transcriptional regulation. These results elucidate the evolutionary complexity and functional diversification of TRP channels in marine gastropods, and highlight the potential role of these molecules in thermal sensing and adaptation. This study provides a molecular framework for understanding TRP-mediated environmental responses in mollusks, contributing to broader insights into marine invertebrate resilience under climate change.
2026-03-18 | GSE305557 | GEO
Project description:Phylogenetic and evolutionary studies of family Babyloniidae
Project description:There are very few studies exploring the genetic diversity of tick-borne encephalitis complex viruses. Most of the viruses have been sequenced using capillary electrophoresis, however, very few viruses have been analyzed using deep sequencing to look at the genotypes in each virus population. In this study, different viruses and strains belonging to the tick-borne encephalitis complex were sequenced and genetic diversity was analyzed. Shannon entropy and single nucleotide variants were used to compare the viruses. Then genetic diversity was compared to the phylogenetic relationship of the viruses.
Project description:Purpose: To investigate the quaternary structures of Rhodopsin-family GPCRs. Method: Analyzed 60 receptors from HEK 293T cells. Results: 1) Most of these receptors are monomers. 2) The phylogenetic distribution of dimers suggests that monomers have an evolutionary advantage due to constraints imposed by dimerization on rates of receptor diversification.