Spatial distribution and morphometric characterization of vagal afferents (intramuscular arrays (IMAs)) within the longitudinal and circular muscle layers of the rat stomach

Terry Powley
,
Robert J Phillips
,
Deborah Jaffey
,
Bartek Rajwa
,
Jennifer McAdams
,
Elizabeth Baronowsky
,
Logan Chesney
,
Diana Black
,
Felecia N Martin
,
Cherie N Hudson

Spatial distribution and morphometric characterization of vagal afferents (specifically: intramuscular arrays (IMAs)) within the longitudinal and circular muscle layers of the rat stomach.

Updated on May 9, 2020 (Version 3, Revision 1)

Corresponding Contributor:

Terry Powley
Dataset Banner Image
425 Files
573.24 MB
22 Records

Dataset Overview

Study Purpose: Intramuscular arrays (IMAs), vagal mechanoreceptors that innervate gastrointestinal smooth muscle, are one of the main types of vagal innervation associated with the stomach. This data set was constructed to assess the potential correlation between IMA spatial distributions and the efficacy of stimulation locations for inducing gastric motility.

Data Collected: This dataset consists of 184 XML files (~1MB to ~12 MB each) corresponding to intramuscular arrays (IMAs) traced from Sprague-Dawley young adult male rat stomachs. Each tracing was analyzed in Neurolucida Explorer to define key neurite metrics such as the area of innervation, average branch length, etc. Additionally, the location of the first branch point for each arbor was measured and used to construct a map of IMA locations across the stomach within both the circular and longitudinal muscle layers.

Primary Conclusion: This dataset represents a detailed anatomical 2D map of the standard rat stomach as well as an interactive 2D map of neurite locations..


Curator's Notes

Experimental Design: A mixture of dextran conjugates was injected into the nodose ganglia of young adult Sprague-Dawley rats, and after a survival period of 14 days for optimal tracer transport, stomachs were removed and processed as whole mounts. ABC-DAB was used to create a permanent gold-brown stain of all labeled afferent neurites. Subgroups of samples were also counterstained with either the pan-neuronal chromogen, cuprolinic blue, or with nNOS antibodies and steel gray chromogen to label nitrergic cells.Morphometric analysis was performed with Neurolucida software.

Completeness: This dataset is part of a larger study with two related datasets available..

Subjects/Samples: Male Sprague Dawley rats (n=55), between 53 and 152 days old, were used for this study. Complete afferent fibers were traced from both ventral and dorsal whole mounts.

Primary vs. derivative: Primary data is present in xml format. The series of images that were used to register individual whole mount contours is contained in the source folder. There is a cumulative excel file of morphometric data in the derivatives folder.

Important Notes: (1) This study is part of a larger study. (2) This study has a Docs folder. Within this folder is a folder labeled Interactive map, which has 16 PNG images together with an html file that will display an interactive 2D map of neurite locations based on the associated PNG files. (3) This study has a Souce folder. Within this folder, the data is subdivided into folders based on the stomach region. Images (jpg) for each study subject are located in these folders; these images were used to register whole mount contours. (4) This dataset is has two similarly named sister datasets:" Spatial distribution and morphometric characterization of vagal afferents associated with the myenteric plexus of the rat stomach" (N:dataset:d484110a-e6e3-4574-aab2-418703c978e2), and “Spatial distribution and morphometric characterization of vagal efferents associated with the myenteric plexus of the rat stomach" (N:dataset:f58c75a2-7d86-439a-8883-e9a4ee33d7fa), which use sister subjects but examine other types of vagal innervation.

Code Availability: Not applicable

Open Questions: Not applicable

Files

Root Directory

0 - 0 of 0 files

No files found.

About this dataset

Publishing history

July 12, 2019
Originally Published
May 9, 2020 (Version 3)
Last Updated

Cite this dataset