Dataset Information

Quantitative Analysis of Axonal Branch Dynamics in the Developing Nervous System.

ABSTRACT: Branching is an important mechanism by which axons navigate to their targets during neural development. For instance, in the developing zebrafish retinotectal system, selective branching plays a critical role during both initial pathfinding and subsequent arborisation once the target zone has been reached. Here we show how quantitative methods can help extract new information from time-lapse imaging about the nature of the underlying branch dynamics. First, we introduce Dynamic Time Warping to this domain as a method for automatically matching branches between frames, replacing the effort required for manual matching. Second, we model branch dynamics as a birth-death process, i.e. a special case of a continuous-time Markov process. This reveals that the birth rate for branches from zebrafish retinotectal axons, as they navigate across the tectum, increased over time. We observed no significant change in the death rate for branches over this time period. However, blocking neuronal activity with TTX slightly increased the death rate, without a detectable change in the birth rate. Third, we show how the extraction of these rates allows computational simulations of branch dynamics whose statistics closely match the data. Together these results reveal new aspects of the biology of retinotectal pathfinding, and introduce computational techniques which are applicable to the study of axon branching more generally.

SUBMITTER: Chalmers K

PROVIDER: S-EPMC4801415 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Quantitative Analysis of Axonal Branch Dynamics in the Developing Nervous System.

Chalmers Kelsey K Kita Elizabeth M EM Scott Ethan K EK Goodhill Geoffrey J GJ

PLoS computational biology 20160321 3

Branching is an important mechanism by which axons navigate to their targets during neural development. For instance, in the developing zebrafish retinotectal system, selective branching plays a critical role during both initial pathfinding and subsequent arborisation once the target zone has been reached. Here we show how quantitative methods can help extract new information from time-lapse imaging about the nature of the underlying branch dynamics. First, we introduce Dynamic Time Warping to t ...[more]

PMID: 26998842

Similar Datasets

Project description:A long-standing problem in development is understanding how progenitor cells transiently expressing genes contribute to complex anatomical and functional structures. In the developing nervous system an additional level of complexity arises when considering how cells of distinct lineages relate to newly established neural circuits. To address these problems, we used both cumulative marking with Cre/loxP and Genetic Inducible Fate Mapping (GIFM), which permanently and heritably marks small populations of progenitors and their descendants with fine temporal control using CreER/loxP. A key component used in both approaches is a conditional phenotyping allele that has the potential to be expressed in all cell types, but is quiescent because of a loxP flanked Stop sequence, which precedes a reporter allele. Upon recombination, the resulting phenotyping allele is 'turned on' and then constitutively expressed. Thus, the reporter functions as a high fidelity genetic lineage tracer in vivo. Currently there is an array of reporter alleles that can be used in marking strategies, but their recombination efficiency and applicability to a wide array of tissues has not been thoroughly described. To assess the recombination/marking potential of the reporters, we utilized CreER(T) under the control of a Wnt1 transgene (Wnt1-CreER(T)) as well as a cumulative, non-inducible En1(Cre) knock-in line in combination with three different reporters: R26R (LacZ reporter), Z/EG (EGFP reporter), and Tau-Lox-STOP-Lox-mGFP-IRES-NLS-LacZ (membrane-targeted GFP/nuclear LacZ reporter). We marked the Wnt1 lineage using each of the three reporters at embryonic day (E) 8.5 followed by analysis at E10.0, E12.5, and in the adult. We also compared cumulative marking of cells with a history of En1 expression at the same stages. We evaluated the reporters by whole-mount and section analysis and ascertained the strengths and weaknesses of each of the reporters. Comparative analysis with the reporters elucidated complexities of how the Wnt1 and En1 lineages contribute to developing embryos and to axonal projection patterns of neurons derived from these lineages.

Dataset Information

Quantitative Analysis of Axonal Branch Dynamics in the Developing Nervous System.

Publications

Quantitative Analysis of Axonal Branch Dynamics in the Developing Nervous System.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets