- From: William Bug <William.Bug@DrexelMed.edu>
- Date: Fri, 2 Mar 2007 13:46:28 -0500
- To: W3C HCLSIG hcls <public-semweb-lifesci@w3.org>, "Donald Doherty, Ph.D." <donald.doherty@brainstage.com>, Alan Ruttenberg <alanruttenberg@gmail.com>, MaryAnn Martone <maryann@ncmir.ucsd.edu>, Stephen Larson <slarson@ucsd.edu>, Luis Marenco <luis.marenco@yale.edu>, Mihail Bota <mbota@usc.edu>, Jack Park <jack.park@sri.com>, Chris Mungall <cjm@fruitfly.org>, Gwen Wong <wonglabow@verizon.net>
- Message-Id: <F34C569C-C195-45AA-BFA0-C87D4BB4B3C9@DrexelMed.edu>
+++++++=========== NEURONAL CELL TYPES ===========+++++++ Chris is correct - the MOST LIKELY shared community ontology to address the issue of cells would be the Cell Ontology, though in its currently distributed form - see (http://www.berkeleybop.org/ ontologies/#mappings) - it's very problematically both ontologically and in terms of what a neuroanatomist and cellular neurobiologist would want. This brings us to a particular problem with the GENSAT AND the BrainPharm/SenseLab cell types - relating to shared cell type ontologies. It's POSSIBLE the GENSAT folks started with the Cell Ontology. Some of their cell terms are in there. It's even more likely this is something they grew themselves. This is most definitely true for many of the cell "sub types". The Cell-Centered Database (CCDB) has done A LOT of work on this issue. It would really be a terrible waste if this is not being included in whatever work is going on amongst the CL Ontology folks and GMOD folks - at least in the domain of neuronal cells. It's quite likely some form of the CCDB work is available in OWL. I've cc'd Maryann & Stephen who've been working on CCDB ontologies. They could answer that question. With BrainPharm - at least as I understand it (Luis Marenco and/or Kei of Yale would be best suited to answer this) the "cell types" they create have been based both on the wealth of knowledge Gordon Shepherd brings to this issue of neuronal cell types (at least as a core organizing principle). This - possibly with input from some shared, distilled knowledge resources such as MeSH (as Don says) has then been built out by the 1000s of cellular neurobiologists who've contributed to the the SenseLab database - very empirically. To my knowledge (Kei & Luis?), they have not tied this into any current, shared community ontology for cell types - and I'm certain there are real reasons why this is the case. +++++++=========== RODENT BRAIN ATLASES and BRAIN REGION SPECIFICATION ===========+++++++ As for brain regions, this TOO is problematic. What Gwen states is colloquially correct - you will find brain regions specified in atlases. However, primate atlases and rodent atlases do not correspond in many areas (this is an ACTIVE area of research and a major task for us in BIRN given our mandate to integrate across animal models and human clinical neuroimages related to the diagnosis and study of neurodegenerative disease). Limiting just one sub-species - say the Mus musculus musculus x Mus musculus domesticus hybrids that gave rise to most of the inbred strains (C57Bl/6, DBA/2, etc.) commonly used to create mouse models of disease - recombinant inbred, transgenics, congenics, etc. - there are AT LEAST 3 MRI/MRM atlases of the C57Bl/6 brain: LONI - http://www.loni.ucla.edu/MAP/Atlas/ Ma et al. - http://www.bnl.gov/ctn/mouse/ Mouse Imaging Center (Toronto) - http://www.mouseimaging.ca/research/ var_brain_atlas.html and AT LEAST 2 histological atlases of the C57Bl/6 brain: LONI - http://www.loni.ucla.edu/MAP/Atlas/Atlas_Archive.html NeuroTerrain - http://fireball.drexelmed.edu/neuroterrain/tools.shtml MRI/MRM atlases are just starting to get under 100 microns in resolution (compared to histologic resolution generally 20 - 50 microns 3D isotropic) and don't have nearly comparable contrast (yet) to histological atlases required to perform highly granular region segmentation. This contrast issue is especially true in the deep regions of the diencephalon where many regions important to neurodegenerative disease reside (s. nigra, n. basalis, striatum, etc.). And - guess what - they don't all share the same "terminology" for naming those regions they do delineate (see BAMS links below) NOR are the regions (the 3D objects) they delineate for a given region - e.g., "hippocampal formation" - geometrically equivalent - NOR do they place these geometries in the same 3D coordinate system. I realize it must seem I'm getting into too much technical detail here - BUT- IF the goal is to make MEANINGFUL connections via SPARQL queries, this sort of behind the scenes "sausage making" issues are very important issues. For primate brain regions, the SMARTEST source for a shared "terminology" is NeuroNames. As I've mentioned before, this MIGHT be available in RDF or OWL based on work the BrainInfo/NN PI - Doug Bowden has done with Jack Park at SRI (I've cc'd Jack on this email). Many names from other species are in there (though not in the downloadable versions of NN which are CIRCA 2002). There is a knowledgeable - the Brain Architecture Managment System (BAMS) from Larry Swanson's lab which is curated by Mihail Bota - which makes available in XML format (don't know what the XSD is) the brain region specifications for several STANDARD rodent brain atlases. You'll find these by navigating from the BAMS home page (http:// brancusi.usc.edu/bkms/) to the 'XML' link: http://brancusi.usc.edu/bkms/bamsxml.html I would note the ABA uses the Franklin & Paxinos altas (2001). HOWEVER - there are many regions in your spread sheet that are not in the BAMS Franklin&Paxinos download - for instance "CNU" - which may actually be a home-grown term for "CNS - unspecified". Isn't that special. Here's why that might be. Go to the NN/Braininfo page for one of the regions the ABA classifies as "CNU" such as striatum: http://braininfo.rprc.washington.edu/Scripts/ hiercentraldirectory.aspx?ID=207 Click on the "Where is it in the brain?" link. You will note Striatum, Globus Pallidus, and Amygdala are listed as being in the "Basal Ganglia". Leaving the Amygdala aside, certainly in humans, the Striatum & Globus Pallidus (two regions critical to the PD Use case, BTW) are considered to be in the Basal Ganglia. In rodents - especially in mice - this classification is very problematic. You won't get any two mouse neuroanatomists to TRULY agree on all the details, however, there is a generally accepted region that sort of subsumes the same entity (based on various histological means of defining structural boundaries as well as other means such as structure-function, phylogenetic, and ontogenic relations) called the "caudoputamen" by most (if you drill into Striatum on BrainInfo, you'll find the Striatum has_part Caudate Nucleus. Caudoputamen IS NOT equivalent to the "Basal Ganglia", but it is probably correct to say it is ANALOGOUS to what in a primate would be the Putamen and the Caudate Nucleus. ABA may just have thrown up there hands and said - given their high- throughput directive - no one seems to agree on this issue, so lets be careful not to make an assertion that entails committing to an issue where there is disagreement. Let's just call Striatum "CNS Unspecified". Having said this, there is a Caudoputamen in ABA and it's classified as "Striatum dorsal Region (STRd). I would guess Mihail, Maryann, and others would be able to give you a better explanation of the how to address these difficult issues of anatomical region correspondence between rodent brain image sets (GENSAT, ABA) and atlases (Franklin & Paxinos, NeuroTerrain, Ma et al., etc.). Hope this helps some. Cheers, Bill On Mar 2, 2007, at 11:47 AM, Chris Mungall wrote: > > > Umm, the OBO Cell ontology? There are a few ontological issues with > OBO-Cell right now, but these are currently being addressed. There > are also efforts within OBO to link cells with the brain regions > they are part of, although these are currently focused on model > organisms. > > On Mar 2, 2007, at 8:13 AM, Donald Doherty wrote: > >> >> Alan, >> >> The region names are all available in the MeSH...would that give >> you the >> taxonomy you need? I don't know of a similar source for cell types. >> >> Don >> >> -----Original Message----- >> From: Alan Ruttenberg [mailto:alanruttenberg@gmail.com] >> Sent: Friday, March 02, 2007 3:21 AM >> To: Bill Bug; kc28 Cheung; June Kinoshita; Gwen Wong; Donald Doherty >> Cc: public-semweb-lifesci@w3.org >> Subject: cell types, brain regions mentioned in gensat >> >> I'm making progress in converting gensat to rdf. >> >> For mapping considerations, here is the list of cell types mentioned >> in gensat, followed by the list of brain regions. If we are going to >> do cross queries we will need to find standard names for these. Bill, >> are these classes in birnlex? If not, we need to spawn a task to >> identify a vocabulary we will use for these. >> >> Note that we get a region<->neuron association via gensat where they >> annotation both a region and a cell type. >> Note also some amusements, like the presence of lung as region in an >> ostensibly CNS database. >> >> I've also attached the "ontology.csv" from the Allen Brain Explorer >> application, which I presume gives their hierarchy of brain regions/ >> subregions. I've put labels on the first 3 columns which I think >> encode the hierarchy. >> >> The other interesting annotations, are the gene, the location, >> orientation, and size of the image, as well as some broad categories >> of qualitative expression, such as whether it is localized of widely >> expressed. There is also gender and a few categories of age. >> >> There are ~60K images in gensat. >> >> BTW, if someone has a theory of what the other number in ontology.xls >> are, I'm all ears. >> >> -Alan >> >> >> >> >> > > Bill Bug Senior Research Analyst/Ontological Engineer Laboratory for Bioimaging & Anatomical Informatics www.neuroterrain.org Department of Neurobiology & Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129 215 991 8430 (ph) 610 457 0443 (mobile) 215 843 9367 (fax) Please Note: I now have a new email - William.Bug@DrexelMed.edu
Received on Friday, 2 March 2007 18:46:56 UTC