Analysis of stable and dynamic MTs using immunolabeling
In Protocol 1, the distribution of MT sub-populations during early (neural keel) and late (neural rod) stages of neural tube development is revealed, using Glu-tubulin and Tyr-tubulin as markers for stable and dynamic MTs, respectively. Dynamic MTs predominate in the hindbrain at the neural keel stage (4-5 somites) (Figure 2A-D). As the keel develops into the neural rod (11-12 somites), a stage of enhanced epithelialization, qualitatively fewer MTs are immunoreactive with the anti-Tyr-tubulin antibody (Figure 2E-H), especially in the ventral rod. In contrast, Glu-tubulin is scattered and punctate throughout the neural keel (Figure 3A-D), but is enriched in the ventral neural rod along MT tracts (Figure 3E-H). Arrowheads point to specific MT bundles or structures where labeling is increased.
Although both anti-Glu-tubulin and anti-Tyr-tubulin antibodies were produced in the same host species (preventing a double labeling experiment), these results indicate that stable and dynamic MT markers rarely overlap in the zebrafish hindbrain. Firstly, the ventral neural rod has more stable (Figure 3F) than dynamic (Figure 2F) MTs. The trend is reversed in the dorsal neural rod, consistent with a model of zebrafish neurulation in which the dorsal tissue remains dynamic until the neural tube is formed20. Secondly, while mitotic spindles are fully labeled with the Tyr-tubulin antibody in the neural keel (Figure 2D, arrowheads), only the base of the spindle, coincident with the centrosome, is labeled with the stability marker Glu-tubulin (Figure 3D, arrowheads). β-tubulin immunofluorescence, common to both assays, informs the experimenter of the distribution of all MTs and provides a basis to dismiss non-specific labeling.
Measuring objects using 3-D image analysis software results in a large amount of data that can be organized into a convenient table (Table 2). To make length, count, and area measurements, we are using only a subset of the data that is available to analyze. One of the components of the data that we do not further analyze is the number of objects identified. This number is used as an internal quality control, as the number should not vary widely between like sections, and the ratio of nuclei to MTs should stay similar in a single treatment condition. An outlier is an indicator that either the analysis needs to be rerun with adjusted filters or that the image is too poorly labeled to analyze. Thus, all outlier images should be reanalyzed with adjusted settings. The outlier section should be examined for signs of poor labeling or physical damage that might result in unusual object counts. Once the analysis is finished and quality controlled, useful information can be recovered from the raw data such as average length of total MTs and stable MTs or the ratio of stable MTs to total MTs (Table 3). In addition to these measurements, many other metrics can be obtained using the 3-D image analysis software that can be used to draw inferences about MTs or their relation to other cellular structures (nucleus, centrosome, etc.).
De novo MT assembly assay
The nocodazole treatment depolymerizes MTs resulting in diffuse labeling (Figure 4A, 4D, and 4G). As the MTs regrow, they extend from the centrosome (Figure 4B, 4E, and 4H), however, this may not be obvious in a single plane due to their non-planar trajectories (Figure 4C, 4F, and 4I). Nevertheless, some image analysis software are capable of measuring lengths in 3-D, enabling an assessment of MT growth after the nocodazole washout (Table 4). An important observation that can be obtained from the dataset in Table 4 is that the mean length of MTs appears to increase over time after the nocodazole washout in all regions of the neural tube analyzed. As mentioned above, other types of metrics obtained from 3-D image analysis software can provide cellular context to interpret the MT data (for example, ratio of MTs per nucleus).

Figure 1: Illustration of washout apparatus for de novo MT assembly assay. The inset is a close-up of the flow-through device made from mesh glued into a 50-mL centrifuge tube cut lengthwise. The mesh compartmentalizes the flow-through device such that multiple experimental groups can be processed simultaneously. During use, embryo medium is added to the syringe and slowly flows through the tubing to fill the flow-through device, providing a constant rinse to all experimental groups. Please click here to view a larger version of this figure.

Figure 2: Use of immunolabeling to image dynamic MTs. Dechorionated embryos were fixed at appropriate stages (4-5 in A-D and 12-13 somites in E-H), transversely sectioned through the hindbrain, and immunolabeled with antibodies against β-tubulin (green in A and E) to mark all MTs and tyrosinated α-tubulin (red in B and F) to reveal dynamic MT populations. Highly dynamic MTs can be seen in the merged images (C, G) and their higher magnifications (D, H) as areas where yellow label is visible (arrowheads in D, H). Scale bars = 25 µm (A-C and E-G) and 10 µm (D and H). Please click here to view a larger version of this figure.

Figure 3: Use of immunolabeling to image stable MTs. Dechorionated embryos were fixed, sectioned through the hindbrain, and immunolabeled at appropriate stages (4-5 somites in A-D and 12-13 somites in E-H). Stable MTs are labeled with antibodies against the detyrosinated form of α-tubulin (Glu-tubulin) (red in B and F) while total MTs were visualized with a general β-tubulin antibody (green in A and E). Red and yellow signals in merged images (C, G) and their higher magnifications (D, H) represent areas of high MT stability (arrowheads in D, H). Scale bars = 25 µm (A-C and E-G) and 10 µm (D and H). Please click here to view a larger version of this figure.

Figure 4: Use of immunolabeling to image nascent MTs. Dechorionated embryos were fixed at 4-5 somites and transversely sectioned through the hindbrain. Sections were immunolabeled with β-tubulin (D, E, and F) to mark growing MTs and γ-tubulin (A, B, and C) to mark the nucleation point/centrosome. A dorsal region of the neural tube is boxed in (A, D; B, E and C-F) and shown at higher magnification (G, H, I, respectively) to reveal nuclei (DAPI, blue), centrioles (γ-tubulin, red) and total MTs (β-tubulin, green). White arrowheads: colocalization of MTs and centrioles; yellow arrowheads: the second centriole of a cell is visible. Scale bars = 25 µm (A-F) and 10 µm (G-I). Please click here to view a larger version of this figure.

Table 1: Default settings for filtering objects in 3-D image analysis software.

Table 2: Representative raw data set obtained using 3-D image analysis software to analyze stable MTs. Each column represents measurements from a single section. Min: smallest measurement; Max: largest measurement; SD: standard deviation; SE: standard error.

Table 3: Examples of datasets that can be obtained from 3-D image analysis software to quantify stable MTs. Select measurements of the mean length of total (β-tubulin) and stable (Glu-tubulin) MTs calculated by taking the average of the mean skeletal length for the relevant label from all samples (refer to Table 2) and the ratio of stable to total MTs (Glu-tubulin streaks per β-tubulin streaks) calculated by taking the average β-tubulin count divided by the average Glu-tubulin count.

Table 4: Examples of datasets that can be obtained from 3-D image analysis software to analyze de novo MT assembly. Representative results from the de novo MT assembly experiment, comparing datasets obtained for three recovery time points (1, 5 and 10 min) after nocodazole washout. For each time point, measurements obtained for nuclear count, centrioles (γ-tubulin puncta), number of total MTs (β-tubulin streaks), are shown for selected regions of the imaged analyzed (cross section of the developing neural tube).