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      Specific regulation of mechanical nociception by G β5 involves GABA-B receptors

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          Abstract

          Mechanical, thermal, and chemical pain sensation is conveyed by primary nociceptors, a subset of sensory afferent neurons. The intracellular regulation of the primary nociceptive signal is an area of active study. We report here the discovery of a Gβ5-dependent regulatory pathway within mechanical nociceptors that restrains antinociceptive input from metabotropic GABA-B receptors. In mice with conditional knockout (cKO) of the gene that encodes Gβ5 ( Gnb5) targeted to peripheral sensory neurons, we demonstrate the impairment of mechanical, thermal, and chemical nociception. We further report the specific loss of mechanical nociception in Rgs7-Cre +/– Gnb5 fl/fl mice but not in Rgs9-Cre +/– Gnb5 fl/fl mice, suggesting that Gβ5 might specifically regulate mechanical pain in regulator of G protein signaling 7–positive (Rgs7 +) cells. Additionally, Gβ5-dependent and Rgs7-associated mechanical nociception is dependent upon GABA-B receptor signaling since both were abolished by treatment with a GABA-B receptor antagonist and since cKO of Gβ5 from sensory cells or from Rgs7 + cells potentiated the analgesic effects of GABA-B agonists. Following activation by the G protein–coupled receptor Mrgprd agonist β-alanine, enhanced sensitivity to inhibition by baclofen was observed in primary cultures of Rgs7 + sensory neurons harvested from Rgs7-Cre +/– Gnb5 fl/fl mice. Taken together, these results suggest that the targeted inhibition of Gβ5 function in Rgs7 + sensory neurons might provide specific relief for mechanical allodynia, including that contributing to chronic neuropathic pain, without reliance on exogenous opioids.

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          A robust and high-throughput Cre reporting and characterization system for the whole mouse brain

          The Cre/lox system is widely used in mice to achieve cell-type-specific gene expression. However, a strong and universal responding system to express genes under Cre control is still lacking. We have generated a set of Cre reporter mice with strong, ubiquitous expression of fluorescent proteins of different spectra. The robust native fluorescence of these reporters enables direct visualization of fine dendritic structures and axonal projections of the labeled neurons, which is useful in mapping neuronal circuitry, imaging and tracking specific cell populations in vivo. Using these reporters and a high-throughput in situ hybridization platform, we are systematically profiling Cre-directed gene expression throughout the mouse brain in a number of Cre-driver lines, including novel Cre lines targeting different cell types in the cortex. Our expression data are displayed in a public online database to help researchers assess the utility of various Cre-driver lines for cell-type-specific genetic manipulation.
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            Unbiased classification of sensory neuron types by large-scale single-cell RNA sequencing.

            The primary sensory system requires the integrated function of multiple cell types, although its full complexity remains unclear. We used comprehensive transcriptome analysis of 622 single mouse neurons to classify them in an unbiased manner, independent of any a priori knowledge of sensory subtypes. Our results reveal eleven types: three distinct low-threshold mechanoreceptive neurons, two proprioceptive, and six principal types of thermosensitive, itch sensitive, type C low-threshold mechanosensitive and nociceptive neurons with markedly different molecular and operational properties. Confirming previously anticipated major neuronal types, our results also classify and provide markers for new, functionally distinct subtypes. For example, our results suggest that itching during inflammatory skin diseases such as atopic dermatitis is linked to a distinct itch-generating type. We demonstrate single-cell RNA-seq as an effective strategy for dissecting sensory responsive cells into distinct neuronal types. The resulting catalog illustrates the diversity of sensory types and the cellular complexity underlying somatic sensation.
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              CellProfiler 4: improvements in speed, utility and usability

              Background Imaging data contains a substantial amount of information which can be difficult to evaluate by eye. With the expansion of high throughput microscopy methodologies producing increasingly large datasets, automated and objective analysis of the resulting images is essential to effectively extract biological information from this data. CellProfiler is a free, open source image analysis program which enables researchers to generate modular pipelines with which to process microscopy images into interpretable measurements. Results Herein we describe CellProfiler 4, a new version of this software with expanded functionality. Based on user feedback, we have made several user interface refinements to improve the usability of the software. We introduced new modules to expand the capabilities of the software. We also evaluated performance and made targeted optimizations to reduce the time and cost associated with running common large-scale analysis pipelines. Conclusions CellProfiler 4 provides significantly improved performance in complex workflows compared to previous versions. This release will ensure that researchers will have continued access to CellProfiler’s powerful computational tools in the coming years. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-021-04344-9.
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                Author and article information

                Contributors
                Journal
                JCI Insight
                JCI Insight
                JCI Insight
                JCI Insight
                American Society for Clinical Investigation
                2379-3708
                10 July 2023
                10 July 2023
                10 July 2023
                : 8
                : 13
                : e134685
                Affiliations
                [1 ]Metabolic Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health (NIH), Bethesda, Maryland, USA.
                [2 ]Research Technologies Branch, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, Maryland, USA.
                [3 ]Department of Molecular Medicine, The University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
                Author notes
                Address correspondence to: Mritunjay Pandey, Department of Molecular and Cellular Biochemistry, University of Kentucky College of Medicine, BBSRB, 741 South Limestone, Lexington, Kentucky 40508, USA. Phone: 301.825.4906; Email: Mritunjay.Pandey@ 123456uky.edu . Or to: William F. Simonds, NIH, Bldg. 10 Room 8C-101, 10 Center Dr. MSC 1752, Bethesda, Maryland 20892-1752, USA. Phone: 301.496.9299; Email: bills@ 123456niddk.nih.gov .

                Authorship note: MP and JHZ contributed equally to this work.

                Author information
                http://orcid.org/0000-0003-4828-2169
                http://orcid.org/0000-0001-7806-706X
                Article
                134685
                10.1172/jci.insight.134685
                10371342
                37219953
                16922873-4678-494d-a4c2-6846d0190126
                © 2023 Pandey et al.

                This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 November 2019
                : 19 May 2023
                Funding
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases
                Award ID: ZIA DK043304-29
                Categories
                Research Article

                neuroscience,g protein–coupled receptors,g proteins,pain

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