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Li L, Wu Z, Guarracino A, Villani F, Kong D, Mancieri A, Zhang A, Saba L, Chen H, Brozka H, Vales K, Senko AN, Kempermann G, Stuchlik A, Pravenec M, Lechner J, Prins P, Mathur R, Lu L, Yang K, Peng J, Williams RW, Wang X. Genetic modulation of protein expression in rat brain. iScience 2025; 28:112079. [PMID: 40124499 PMCID: PMC11930185 DOI: 10.1016/j.isci.2025.112079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 09/05/2024] [Accepted: 02/18/2025] [Indexed: 03/25/2025] Open
Abstract
Genetic variations in protein expression are implicated in a broad spectrum of common diseases and complex traits but remain less explored compared to mRNA and classical phenotypes. This study systematically analyzed brain proteomes in a rat family using tandem mass tag (TMT)-based quantitative mass spectrometry. We quantified 8,119 proteins across two parental strains (SHR/Olalpcv and BN-Lx/Cub) and 29 HXB/BXH recombinant inbred (RI) strains, identifying 597 proteins with differential expression and 464 proteins linked to cis-acting quantitative trait loci (pQTLs). Proteogenomics identified 95 variant peptides, and sex-specific analyses revealed both shared and distinct cis-pQTLs. We improved the ability to pinpoint candidate genes underlying pQTLs by utilizing the rat pangenome and explored the connections between pQTLs in rats and human disorders. Collectively, this study highlights the value of large proteo-genetic datasets in elucidating protein modulation in the brain and its links to complex central nervous system (CNS) traits.
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Affiliation(s)
- Ling Li
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN 38163, USA
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Zhiping Wu
- Department of Structural Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
- Human Technopole, Viale Rita Levi-Montalcini, 20157 Milan, Italy
| | - Flavia Villani
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Dehui Kong
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN 38163, USA
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Ariana Mancieri
- Department of Structural Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Aijun Zhang
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN 38163, USA
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Laura Saba
- Department of Pharmaceutical Sciences, University of Colorado Denver, Aurora, CO 80045, USA
| | - Hao Chen
- Department of Pharmacology, Addiction Science, and Toxicology, University of Tennessee Health Science Center, Memphis, TN 38103, USA
| | - Hana Brozka
- Institute of Physiology of the Czech Academy of Sciences, Prague 14200, Czech Republic
| | - Karel Vales
- Institute of Physiology of the Czech Academy of Sciences, Prague 14200, Czech Republic
| | - Anna N. Senko
- Genomics of Regeneration of the Central Nervous System, Center for Regenerative Therapies Dresden, Dresden University of Technology, 01307 Dresden, Germany
| | - Gerd Kempermann
- Genomics of Regeneration of the Central Nervous System, Center for Regenerative Therapies Dresden, Dresden University of Technology, 01307 Dresden, Germany
| | - Ales Stuchlik
- Institute of Physiology of the Czech Academy of Sciences, Prague 14200, Czech Republic
| | - Michal Pravenec
- Institute of Physiology of the Czech Academy of Sciences, Prague 14200, Czech Republic
| | - Joseph Lechner
- Department of Pediatrics and the Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Pjotr Prins
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Ramkumar Mathur
- Department of Geriatrics, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA
| | - Lu Lu
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Kai Yang
- Department of Pediatrics and the Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Junmin Peng
- Department of Structural Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Department of Developmental Neurobiology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Robert W. Williams
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Xusheng Wang
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN 38163, USA
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA
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Carvalho L, Lasek AW. It is not just about transcription: involvement of brain RNA splicing in substance use disorders. J Neural Transm (Vienna) 2024; 131:495-503. [PMID: 38396082 PMCID: PMC11055753 DOI: 10.1007/s00702-024-02740-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 01/04/2024] [Indexed: 02/25/2024]
Abstract
Alternative splicing is a co-transcriptional process that significantly contributes to the molecular landscape of the cell. It plays a multifaceted role in shaping gene transcription, protein diversity, and functional adaptability in response to environmental cues. Recent studies demonstrate that drugs of abuse have a profound impact on alternative splicing patterns within different brain regions. Drugs like alcohol and cocaine modify the expression of genes responsible for encoding splicing factors, thereby influencing alternative splicing of crucial genes involved in neurotransmission, neurogenesis, and neuroinflammation. Notable examples of these alterations include alcohol-induced changes in splicing factors such as HSPA6 and PCBP1, as well as cocaine's impact on PTBP1 and SRSF11. Beyond the immediate effects of drug exposure, recent research has shed light on the role of alternative splicing in contributing to the risk of substance use disorders (SUDs). This is exemplified by exon skipping events in key genes like ELOVL7, which can elevate the risk of alcohol use disorder. Lastly, drugs of abuse can induce splicing alterations through epigenetic modifications. For example, cocaine exposure leads to alterations in levels of trimethylated lysine 36 of histone H3, which exhibits a robust association with alternative splicing and serves as a reliable predictor for exon exclusion. In summary, alternative splicing has emerged as a critical player in the complex interplay between drugs of abuse and the brain, offering insights into the molecular underpinnings of SUDs.
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Affiliation(s)
- Luana Carvalho
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, 1220 E. Broad ST, Box 980613, Richmond, VA, 23298, USA.
| | - Amy W Lasek
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, 1220 E. Broad ST, Box 980613, Richmond, VA, 23298, USA
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Duffy EP, Ward JO, Hale LH, Brown KT, Kwilasz AJ, Saba LM, Ehringer MA, Bachtell RK. Genetic background and sex influence somatosensory sensitivity and oxycodone analgesia in the Hybrid Rat Diversity Panel. GENES, BRAIN, AND BEHAVIOR 2024; 23:e12894. [PMID: 38597363 PMCID: PMC11005106 DOI: 10.1111/gbb.12894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 01/25/2024] [Accepted: 03/06/2024] [Indexed: 04/11/2024]
Abstract
Opioid use disorder (OUD) is an ongoing public health concern in the United States, and relatively little work has addressed how genetic background contributes to OUD. Understanding the genetic contributions to oxycodone-induced analgesia could provide insight into the early stages of OUD development. Here, we present findings from a behavioral phenotyping protocol using several inbred strains from the Hybrid Rat Diversity Panel. Our behavioral protocol included a modified "up-down" von Frey procedure to measure inherent strain differences in the sensitivity to a mechanical stimulus on the hindpaw. We also performed the tail immersion assay, which measures the latency to display tail withdrawal in response to a hot water bath. Initial withdrawal thresholds were taken in drug-naïve animals to record baseline thermal sensitivity across the strains. Oxycodone-induced analgesia was measured after administration of oxycodone over the course of 2 h. Both mechanical and thermal sensitivity are shaped by genetic factors and display moderate heritability (h2 = 0.23-0.40). All strains displayed oxycodone-induced analgesia that peaked at 15-30 min and returned to baseline by 2 h. There were significant differences between the strains in the magnitude and duration of their analgesic response to oxycodone, although the heritability estimates were quite modest (h2 = 0.10-0.15). These data demonstrate that genetic background confers differences in mechanical sensitivity, thermal sensitivity, and oxycodone-induced analgesia.
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Affiliation(s)
- Eamonn P. Duffy
- Department of Integrative PhysiologyUniversity of Colorado BoulderBoulderColoradoUSA
- Institute for Behavioral GeneticsUniversity of Colorado BoulderBoulderColoradoUSA
| | - J. O. Ward
- Department of Psychology and NeuroscienceUniversity of Colorado BoulderBoulderColoradoUSA
| | - L. H. Hale
- Department of Psychology and NeuroscienceUniversity of Colorado BoulderBoulderColoradoUSA
| | - K. T. Brown
- Department of Psychology and NeuroscienceUniversity of Colorado BoulderBoulderColoradoUSA
| | - Andrew J. Kwilasz
- Department of Psychology and NeuroscienceUniversity of Colorado BoulderBoulderColoradoUSA
| | - Laura M. Saba
- Department of Pharmaceutical SciencesSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Marissa A. Ehringer
- Department of Integrative PhysiologyUniversity of Colorado BoulderBoulderColoradoUSA
- Institute for Behavioral GeneticsUniversity of Colorado BoulderBoulderColoradoUSA
| | - Ryan K. Bachtell
- Institute for Behavioral GeneticsUniversity of Colorado BoulderBoulderColoradoUSA
- Department of Psychology and NeuroscienceUniversity of Colorado BoulderBoulderColoradoUSA
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Tabakoff B, Hoffman PL, Saba LM. The genetical genomic path to understanding why rats and humans consume too much alcohol. JOURNAL OF NEUROBIOLOGY AND PHYSIOLOGY 2024; 5:15-22. [PMID: 40297323 PMCID: PMC12037163 DOI: 10.46439/neurobiology.5.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/30/2025]
Abstract
Background At the invitation of the Journal, we are providing a summary of our published work that has followed the publication in 2009 of our manuscript entitled "Genetical Genomic Determinants of Alcohol Consumption in Rats and Humans". Our initial premise, which has been maintained throughout, is that knowledge regarding gene transcription would greatly enhance GWAS of alcohol-related phenotypes. We chose to concentrate our studies on the quantitative phenotype of alcohol consumption since high levels of alcohol consumption are a prerequisite for the development of alcohol use disorder (AUD). We also structured our studies to focus on "predisposition" to higher levels of alcohol consumption. We defined predisposition as a genetic structure and transcriptional pattern that is inherent in an organism and present prior to exposure to an environmental stimulus that engenders a physiological/behavioral response. In studies using humans, this interest in predisposition usually requires prolonged periods of cohort follow-up. On the other hand, studies with animals can use resources such as panels of recombinant inbred (RI) animals (in our case, the HXB/BXH rat panel) to capture the transcriptional landscape of animals not exposed to alcohol and compare this transcriptional landscape to levels of alcohol consumption collected from a different cohort of animals that are the same age, have an identical genetic composition, and are raised in an identical environment. The other benefit is that the stable genetic structure of inbred strains allows for a chronological expansion of information on these animals. This characteristic of the HXB/BXH RI rats allowed us to add important information as technology and analytical methods developed over time. Methods findings and conclusions Our initial studies relied on hybridization arrays for RNA quantification in brain, an initial set of polymorphic markers for the rat genome, and a standard behavioral (b)QTL analysis for alcohol consumption. What we added to the conceptual basis for analysis and interpretation was the calculation of transcript expression (e)QTLs and the requirements that: 1. the eQTL overlapped the location of the bQTL; and 2. the transcript levels were significantly correlated with the quantitative levels of alcohol consumption across rat strains. These criteria were used to identify genes (transcripts) as "candidate" contributors to the alcohol consumption phenotype. We soon realized that the search for candidate genes as unique determinants of a complex trait is irrational, since these phenotypes are best characterized by differences in genetic networks. Therefore, we incorporated Weighted Gene Coexpression Network Analysis (WGCNA) in our further work. We also realized the limitations of hybridization arrays for breadth of transcriptome coverage and quantification, and in the more current work used total RNA-Seq-derived data for characterizing nearly all of the brain transcriptome. Finally, we participated in the efforts for whole genome sequencing of the strains of the HXB/BXH panel, generating an extensive new panel of markers for remapping of the QTLs. We also realized that the biological determinants of a behavioral phenotype do not have to reside in brain and, by examining the liver transcriptome, we found that the gut-liver-brain axis was, in part, involved in predisposition to higher levels of free-choice alcohol consumption. In all, from the first exploration of the genetical genomics of the alcohol consumption phenotype, to the current status of our work, the function of the brain immune system, with emphasis on microglia and astrocytes, even prior to the animal being offered alcohol, has emerged as a most significant genetic contributor to the amount of alcohol an animal will consume on a daily basis. Particularly prominent was a cluster of inflammasome (NLRP3)-modulating transcripts (P2rx4, Ift81, Oas1b, Txnip) and a long noncoding transcript, "Lrap" that repeatedly appeared within a gene coexpression module associated with alcohol consumption levels. Interestingly, data from post-mortem tissue from brain of humans suffering from AUD also indicates a hyperactive neuroimmune function. The data from studies with animals may indicate that neuroimmune hyperactivity may be a trait rather than a state marker for AUD.
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Affiliation(s)
- Boris Tabakoff
- Lohocla Research Corporation, Aurora, CO, USA
- Institute for Behavioral Genetics, University of Colorado Boulder, CO, USA
| | - Paula L. Hoffman
- Lohocla Research Corporation, Aurora, CO, USA
- Department of Pharmacology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Laura M. Saba
- Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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