Spinal ganglia (SG) neurons are commonly classified according to various specific features. The most widespread classification based on morphological and ultrastructural features subdivides SG neurons into light and small dark neurons. Using immunohistochemical, histochemical and lectin methods, it is possible to further subdivide the small dark neurons into two subpopulations: peptidergic and nonpeptidergic neurons. The majority of studies on SG neurons were carried out on mice and rats; there are few or no studies on large mammals. In this study, some of the widely used neuronal markers, neurofilament 200 kDa (NF200), substance P (SP), calcitonin gene-related peptide (CGRP) and isolectin B4 (IB4), were employed to characterize neuronal nitric oxide synthase (nNOS)-immunoreactivity (-IR) in sheep (Ovis aries) SG (Th13-L2) neurons. The majority of the SG neurons were IB4-labeled (79 +/- 10%), followed by NF200- (45 +/- 4%), NOS- (44 +/- 10%), SP- (42 +/- 5%) and CGRP-IR (35 +/- 7%) neurons. The triple staining experiments showed that a higher percentage (75 +/- 16%) of NOS-IR neurons bound both IB4 and CGRP, or both IB4 and SP (49 +/- 6%). The IB4 marker showed an unexpected staining pattern; in fact, IB4-labeled neurons largely colocalized with NF200, usually considered a marker of light SG neurons, and with CGRP and SP. For this reason, IB4 cannot be employed in sheep to differentiate between light and dark neurons, or between peptidergic and nonpeptidergic neurons. These results suggest the importance of being cautious when comparing data among different species.

Immunohistochemical characterization of TH13-L2 spinal ganglia neurons in sheep (ovis aries) / RUSSO D.; CLAVENZANI P.; MAZZONI M.; CHIOCCHETTI R;. LALATTA-COSTERBOSA G.. - In: MICROSCOPY RESEARCH AND TECHNIQUE. - ISSN 1059-910X. - STAMPA. - 73:(2010), pp. 128-139. [10.1002/jemt.20764]

Immunohistochemical characterization of TH13-L2 spinal ganglia neurons in sheep (ovis aries).

CLAVENZANI, PAOLO;MAZZONI, MAURIZIO;CHIOCCHETTI, ROBERTO;LALATTA COSTERBOSA, GIOVANNA
2010

Abstract

Spinal ganglia (SG) neurons are commonly classified according to various specific features. The most widespread classification based on morphological and ultrastructural features subdivides SG neurons into light and small dark neurons. Using immunohistochemical, histochemical and lectin methods, it is possible to further subdivide the small dark neurons into two subpopulations: peptidergic and nonpeptidergic neurons. The majority of studies on SG neurons were carried out on mice and rats; there are few or no studies on large mammals. In this study, some of the widely used neuronal markers, neurofilament 200 kDa (NF200), substance P (SP), calcitonin gene-related peptide (CGRP) and isolectin B4 (IB4), were employed to characterize neuronal nitric oxide synthase (nNOS)-immunoreactivity (-IR) in sheep (Ovis aries) SG (Th13-L2) neurons. The majority of the SG neurons were IB4-labeled (79 +/- 10%), followed by NF200- (45 +/- 4%), NOS- (44 +/- 10%), SP- (42 +/- 5%) and CGRP-IR (35 +/- 7%) neurons. The triple staining experiments showed that a higher percentage (75 +/- 16%) of NOS-IR neurons bound both IB4 and CGRP, or both IB4 and SP (49 +/- 6%). The IB4 marker showed an unexpected staining pattern; in fact, IB4-labeled neurons largely colocalized with NF200, usually considered a marker of light SG neurons, and with CGRP and SP. For this reason, IB4 cannot be employed in sheep to differentiate between light and dark neurons, or between peptidergic and nonpeptidergic neurons. These results suggest the importance of being cautious when comparing data among different species.
2010
Immunohistochemical characterization of TH13-L2 spinal ganglia neurons in sheep (ovis aries) / RUSSO D.; CLAVENZANI P.; MAZZONI M.; CHIOCCHETTI R;. LALATTA-COSTERBOSA G.. - In: MICROSCOPY RESEARCH AND TECHNIQUE. - ISSN 1059-910X. - STAMPA. - 73:(2010), pp. 128-139. [10.1002/jemt.20764]
RUSSO D.; CLAVENZANI P.; MAZZONI M.; CHIOCCHETTI R;. LALATTA-COSTERBOSA G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/78553
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