@CurrentBiology

Andreas Schoofs and Anton Miroschnikow in Michael Pankratz' lab have done an astonishing amount of work manually mapping the peripheral nervous system of the larval #Drosophila, with #CATMAID, in the STEM volume we imaged and they named "Igor". Congrats on seeing this gargantuan project through!

The whole larval volume of "Igor", including all tissues, is available here, courtesy of the #OpenOrganelle project led by Aubrey Weigel @avweigel at #HHMIJanelia:
https://openorganelle.janelia.org/datasets/jrc_fly-larva-1

See it at 5x5x35 nm resolution in #neuroglancer: https://neuroglancer-demo.appspot.com/#!%7B%22dimensions%22:%7B%22x%22:%5B1e-9%2C%22m%22%5D%2C%22y%22:%5B1e-9%2C%22m%22%5D%2C%22z%22:%5B1e-9%2C%22m%22%5D%7D%2C%22position%22:%5B249600.5%2C79040.5%2C84280.5%5D%2C%22crossSectionOrientation%22:%5B0%2C1%2C0%2C0%5D%2C%22crossSectionScale%22:50%2C%22projectionOrientation%22:%5B0%2C1%2C0%2C0%5D%2C%22projectionScale%22:65536%2C%22layers%22:%5B%7B%22type%22:%22image%22%2C%22source%22:%22n5://s3://janelia-cosem-datasets/jrc_fly-larva-1/jrc_fly-larva-1.n5/em/tem-uint8%22%2C%22tab%22:%22rendering%22%2C%22opacity%22:1%2C%22blend%22:%22additive%22%2C%22shader%22:%22#uicontrol%20invlerp%20normalized%28range=%5B0%2C%20255%5D%2C%20window=%5B0%2C%20255%5D%29%5Cn#uicontrol%20vec3%20color%20color%28default=%5C%22white%5C%22%29%5Cnvoid%20main%28%29%7BemitRGB%28color%20%2A%20normalized%28%29%29%3B%7D%22%2C%22name%22:%22tem-uint8%22%7D%5D%2C%22selectedLayer%22:%7B%22visible%22:true%2C%22layer%22:%22tem-uint8%22%7D%2C%22crossSectionBackgroundColor%22:%22#000000%22%2C%22layout%22:%224panel%22%7D (control-minus and control-plus to zoom; mouse click to pan, scroll wheel to browse in Z).

Will appear at the #VirtualFlyBrain website soon as well.

There are many more peripheral nervous system components mapped, yet to be published.

This paper is open access:
"Serotonergic modulation of swallowing in a complete fly vagus nerve connectome", Schoofs et al. 2024 https://www.cell.com/current-biology/fulltext/S0960-9822(24)01137-0?rss=yes&utm_source=dlvr.it&utm_medium=mastodon

#neuroscience #connectomics

@dantracey @kristinmbranson @annikabarber @debivort @giorgiogilestro

Find the original basin-1 neurons at the #VirtualFlyBrain at "Tools - CATMAID - Hosted EM Data - Larval - Larva (ABD1.5)" which opens a #CATMAID server https://abd1.5.catmaid.virtualflybrain.org/?pid=1&zp=10485&yp=40560.65722061269&xp=42396.0789533435&tool=tracingtool&sid0=1&s0=4.5&help=true&layout=h(XY,%20%7B%20type:%20%22neuron-search%22,%20id:%20%22neuron-search-1%22,%20options:%20%7B%22annotation-name%22:%20%22papers%22%7D%7D,%200.6)

Find them via Neuron Search (icon with a "?").

The "Construction time" is wrong (see "Summary info" of the Selection Table) because these neurons were imported from #TrakEM2. Old enough to predate the #CATMAID software!
#neuroscience

The web-based open source software #CATMAID was devised as "google maps but for volumes". Documentation at https://catmaid.org and source code at https://github.com/catmaid/CATMAID/

Modern #CATMAID enables hundreds of #neuroscience researchers world wide to collaboratively map neuronal circuits in large datasets limited only by bandwidth and server-side storage to map and analyse a whole brain #connectome.

See the #Drosophila larval CNS at the #VirtualFlyBrain server: https://l1em.catmaid.virtualflybrain.org/?pid=1&zp=108250&yp=82961.59999999999&xp=54210.799999999996&tool=tracingtool&sid0=1&s0=2.4999999999999996&help=true&layout=h(XY,%20%7B%20type:%20%22neuron-search%22,%20id:%20%22neuron-search-1%22,%20options:%20%7B%22annotation-name%22:%20%22papers%22%7D%7D,%200.6)

@manlius Yes, a lot, but generated mostly with #CATMAID which is more purpose-built for #connectomics.

An early reconstruction of a neural circuit done with #TrakEM2 was by Davi Bock et al. 2011 on the mouse visual cortex, "Network anatomy and in vivo physiology of visual cortical neurons" https://www.nature.com/articles/nature09802

Another one with #TrakEM2 was by Dan Bumbarger et al. 2013 "System-wide rewiring underlies behavioral differences in predatory and bacterial-feeding nematodes" where they compared #celegans with another nematode, #pristionchus pacificus that has the exact same amount of neurons but connected differently https://www.sciencedirect.com/science/article/pii/S0092867412015000

Later ones with #CATMAID include:

The polychaete worm #Platynereis by @jekely 's group, "Whole-animal #connectome and cell-type complement of the three-segmented Platynereis dumerilii larva" Verazto et al. 2020 https://www.biorxiv.org/content/10.1101/2020.08.21.260984v2.abstract

And all of ours in #Drosophila larva. See the #VirtualFlyBrain server which hosts the #vEM of the whole central nervous system and lists all the neurons included in each published paper (currently 23), shared among the papers and all connecting to each other: https://l1em.catmaid.virtualflybrain.org/?pid=1&zp=108250&yp=82961.59999999999&xp=54210.799999999996&tool=tracingtool&sid0=1&s0=2.4999999999999996&help=true&layout=h(XY,%20%7B%20type:%20%22neuron-search%22,%20id:%20%22neuron-search-1%22,%20options:%20%7B%22annotation-name%22:%20%22papers%22%7D%7D,%200.6)

The 24th will come soon, featuring the complete whole #Drosophila larval brain with ~2,500 neurons. It's under review.

What can you do with a #CATMAID server? Say, let's look at the #Drosophila (vinegar fly, often referred to as fruit fly) larval central nervous system, generously hosted by the #VirtualFlyBrain https://l1em.catmaid.virtualflybrain.org/?pid=1&zp=108250&yp=82961.59999999999&xp=54210.799999999996&tool=tracingtool&sid0=1&s0=2.4999999999999996&help=true&layout=h(XY,%20%7B%20type:%20%22neuron-search%22,%20id:%20%22neuron-search-1%22,%20options:%20%7B%22annotation-name%22:%20%22papers%22%7D%7D,%200.6) or the #Platynereis (a marine annelid) server from the Jekely lab https://catmaid.jekelylab.ex.ac.uk/

First, directly interact by point-and-click: open widgets, find neurons by name or annotations, fire up a graph widget and rearrange neurons to make a neat synaptic connectivity diagram, or an adjacency matrix, or look at neuron anatomy in 3D. Most text–names, numbers–are clickable and filterable in some way, such as regular expressions.

Second, interact from other software. Head to r-catmaid https://natverse.org/rcatmaid/ (part of the #natverse suite by Philipp Schlegel @uni_matrix, Alex Bates and others) for an R-based solution from the Jefferis lab at the #MRCLMB. Includes tools such as #NBLAST for anatomical comparisons of neurons (see paper by Marta Costa et al. 2016 https://www.sciencedirect.com/science/article/pii/S0896627316302653 ).

If R is not your favourite, then how about #python: the #navis package, again by the prolific @uni_matrix, makes it trivial, and works also within #Blender too for fancy 3D renderings and animations. An earlier, simpler version was #catpy by @csdashm https://github.com/ceesem/catpy , who also has examples on access from #matlab.

Third, directly from a #psql prompt. As in, why not? #SQL is quite a straightforward language. Of course, you'll need privileged access to the server, so this one is only for insiders. Similarly privileged is from an #ipython prompt initialized via #django from the command line, with the entire server-side API at your disposal for queries.

Fourth, and one of my favourites: from the #javascript console in the browser itself. There are a handful of examples here https://github.com/catmaid/CATMAID/wiki/Scripting but the possibilities are huge. Key utilities are the "fetchSkeletons" macro-like javascript function https://github.com/catmaid/CATMAID/wiki/Scripting#count-the-number-of-presynaptic-sites-and-the-number-of-presynaptic-connectors-on-an-axon and the NeuronNameService.getInstance().getName(<skeleton_id>) function.

Notice every #CATMAID server has its /apis/, e.g., at https://l1em.catmaid.virtualflybrain.org/apis/ will list all GET or REST server access points. Reach to them as you please. See the documentation: https://catmaid.readthedocs.io/en/stable/api.html

In short: the data is there for you to reach out to, interactively or programmatically, and any fine mixture of the two as you see fit.