Tag Archives: James Anderson

Mitochondrial Transfer Between Inner Retinal Neurons

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This abstract was presented today, April 26th at the 2023 Association for Research in Vision and Opthalmology (ARVO) meetings in New Orleans, Louisiana by Selena Wirthlin, Crystal Sigulinsky, James Anderson, and Bryan William Jones.

Full resolution version here.

Purpose
Intercellular mitochondrial transfer has been reported across a variety of cells and tissues under both physiological and pathological conditions. Such transfer has shown broad therapeutic potential. The effectiveness of this therapy, however, is limited by a lack of understanding of the cellular and molecular mechanisms. Here, the ultrastructural features of mitochondrial transfer between inner retinal neurons discovered through retinal connectomics analysis is shown.

Methods
Retinal Connectome 2 (RC2) was built by automated transmission electron microscopy at ultrastructural (2nm/pixel) resolution. RC2 is a 0.25mm diameter volume of retina obtained from a 5-month-old female C57BL/6J mouse. The Viking application was used to visualize and annotate inter- and intracellular features of interest in the connectome.

Results
Exploration of RC2 revealed material transfer between apposing neural processes within the OFF subliminal of the inner plexiform layer. The transferred material can be defined as a mitochondria, confirmed by the presence of crustae. At the transfer site, a short, electron-dense 140-nm diameter tube with a curved cap tightly associated with the inner mitochondrial membrane of one neuritis extends into a vacuole within the apposing neuritis formed by the plasma membranes of the two cells. Thin cytoskeletal components consistent with actin microfilaments extend into the mitochondrion. Morphology and synaptology of the acceptor cell confirm it is an Aii amacrine cell, while preliminary findings suggest the donor cell is a type of ON/OFF ganglion cell.

Conclusions
These findings demonstrate active mitochondrial transfer between different classes of endogenous inner retinal neurons and suggests it may represent an important component of tissue homeostasis in the retina. Features of this transfer differ from previously reported mitochondrial transfer between photoreceptors upon transplantation, which may indicate cell type- or context-dependent differences in the cellular or molecular mechanisms. Our findings demonstrate active mitochondrial transfer between different classes of endogenous inner retinal neurons and suggest it may represent an important component of tissue homeostasis in the retina. Features of this transfer differ from previous reports by the Wallace and Pearson groups of material transfer between photoreceptors upon transplantation through tunneling nanotubes (Ortin- Martinez et al., 2021; Kalargyrou et al., 2021), which may indicate cell type- or context-dependent differences in the cellular or molecular mechanisms. Understanding these mechanisms could serve as a catalyst for development of novel therapeutics for disease in the retina and beyond.

Structural Motifs Of Excitatory Synapses In The Mammalian Retina

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This abstract was presented today, April 24th at the 2023 Association for Research in Vision and Opthalmology (ARVO) meetings in New Orleans, Louisiana by Taylor Otterness, Crystal Sigulinsky, James Anderson, and Bryan William Jones.

Full resolution version here.

Purpose
Connectivity within the nervous system is precise and disruptions lead to degraded performance and disease, yet the rules that govern connectivity remain unknown. Recent efforts reveal that different types of cone bipolar cells in the neural retina show preferences in the selection and frequency of presynaptic structure types used for signal transmission. However, it is not yet known how these differences are related to the quantity or type of postsynaptic partner. We used Retinal Connectome 1 (RC1) to analyze the synaptic output of rabbit CBb6 cells, a type of ON cone bipolar cell that forms excitatory synapses via diverse presynaptic structure types, to identify patterns in how these cells interact with their postsynaptic partners.

Methods
RC1 is a 0.25 mm diameter volume sampled from mid-peripheral retina of a 13 month old female Dutch-Belted rabbit, serially sectioned at 70 nm, and imaged at ultrastructural resolution (2nm/px) using transmission electron microscopy. Postsynaptic partners of CBb6 cell 6156’s presynaptic structures were annotated using the Viking Viewer for Connectomics. Statistical analyses were conducted in Microsoft Excel and investigated further with 3D rendering and graph visualization of connectivity.

Results
The factors tracked for comparison included presynaptic structure type, target number, and postsynaptic partner type. Multiribbon synapses of CBb6 cell 6156 trended towards having a greater number of output partners, with a greater proportion of dyads than monads. Despite this, triads and quadrads were only found opposing single ribbon synapses. As the different presynaptic structure types may differ in the strength of neurotransmitter release (ribbonless < single ribbon < multiribbon), these findings are inconsistent with scaling of output to the number of postsynaptic targets. Both amacrine cells (AC) and ganglion cells (GC) are postsynaptic partners of 6156. However, single ribbon and ribbonless structures appear biased towards AC only targets, while multiribbon synapses appear biased toward mixed AC and GC targets.

Conclusions
Target type relationships appear more important than the number of targets in determining presynaptic structure type in CBb6. Future efforts will examine size differences of postsynaptic structures and presynaptic ribbon size, and even compare across bipolar cell classes, in order to provide further insight on the connectivity rules underlying excitatory synapses.

The Rod-Cone Crossover Connectome of Mammalian Bipolar Cells

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We have a new publication out (direct link), The rod-cone crossover connectome of mammalian bipolar cells authored by Scott Lauritzen, Crystal Sigulinsky, James Anderson, Michael Kalloniatis, Noah Nelson, Danny Emrich, Chris Rapp, Nicolas McCarthy, Ethan Kerzner, Mariah Meyer, Bryan W. Jones, and Robert Marc.

Abstract: The basis of cross-suppression between rod and cone channels has long been an enigma. Using rabbit retinal connectome RC1, we show that all cone bipolar cell (BC) classes inhibit rod BCs via amacrine cell (AC) motifs (C1-6); that all cone BC classes are themselves inhibited by AC motifs (R1-5, R25) driven by rod BCs. A sparse symmetric AC motif (CR) is presynaptic and postsynaptic to both rod and cone BCs. ON cone BCs of all classes drive inhibition of rod BCs via motif C1 wide-field GABAergic ACs (γACs) and motif C2 narrow field glycinergic ON ACs (GACs). Each rod BC receives ≈ 10 crossover AC synapses and each ON cone BC can target ≈ 10 or more rod BCs via separate AC processes. OFF cone BCs mediate monosynaptic inhibition of rod BCs via motif C3 driven by OFF γACs and GACs and disynaptic inhibition via motifs C4 and C5 driven by OFF wide-field γACs and narrow-field GACs, respectively. Motifs C4 and C5 form halos of 60-100 inhibitory synapses on proximal dendrites of AI γACs. Rod BCs inhibit surrounding arrays of cone BCs through AII GAC networks that access ON and OFF cone BC patches via motifs R1, R2, R4 R5 and a unique ON AC motif R3 that collects rod BC inputs and targets ON cone BCs. Crossover synapses for motifs C1, C4, C5 and R3 are 3-4x larger than typical feedback synapses, which may be a signature for synaptic winner-take-all switches.

Synapse Classification And Localization In Electron Micrographs

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Synapse-classification_

We have a new publication, Synapse Classification And Localization In Electron Micrographs in Pattern Recognition Letters.  Authors are: Vignesh Jagadeesh, James Anderson, Bryan W. Jones, Robert Marc, Steven Fisher and B.S. Manjunath.

Abstract:  Classification and detection of biological structures in Electron Micrographs (EM) is a relatively new large scale image analysis problem. The primary challenges are in modeling diverse visual characteristics and development of scalable techniques. In this paper we propose novel methods for synapse detection and localization, an important problem in connectomics. We first propose an attribute based descriptor for characterizing synaptic junctions. These descriptors are task specific, low dimensional and can be scaled across large image sizes. Subsequently, techniques for fast localization of these junctions are proposed. Experimental results on images acquired from a mammalian retinal tissue compare favorably with state of the art descriptors used for object detection.

Robust Segmentation based Tracking using an Adaptive Wrapper for Inducing Priors

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Robust-Segmentation-based-Tracing-using-an-Adaptive-Wrapper-for-Inducing-Priors

We have published another manuscript, Robust Segmentation based Tracking using an Adaptive Wrapper for Inducing Priors.  This manuscript describes the work on adaptive tracing and proposes an algorithm that adapts a generic tracing algorithm to an application of interest.  In our specific case, it is boundaries of cells in high frequency space in transmission electron microscopy images.  But the approach in this paper is applicable to biological, medical, remote sensing and surveillance data as well utilizing priors specific to the application.  The co-authors on the paper are: Vignesh Jagadeesh, James Anderson, Bryan W. Jones, Robert E. Marc, Steven K Fisher and B.S Manjunath.