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Bansod S, Dodhiawala PB, Geng Y, Bulle A, Liu P, Li L, Townsend R, Grierson PM, Held JM, Adhikari H, Lim KH. The TRIM4 E3 ubiquitin ligase degrades TPL2 and is modulated by oncogenic KRAS. Cell Rep 2024; 43:114667. [PMID: 39178114 DOI: 10.1016/j.celrep.2024.114667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 03/24/2024] [Accepted: 08/06/2024] [Indexed: 08/25/2024] Open
Abstract
Loss-of-function mutations in the C terminus of TPL2 kinase promote oncogenesis by impeding its proteasomal degradation, leading to sustained protein expression. However, the degradation mechanism for TPL2 has remained elusive. Through proximity-dependent biotin identification (BioID), we uncovered tripartite motif-containing 4 (TRIM4) as the E3 ligase that binds and degrades TPL2 by polyubiquitination of lysines 415 and 439. The naturally occurring TPL2 mutants R442H and E188K exhibit impaired TRIM4 binding, enhancing their stability. We further discovered that TRIM4 itself is stabilized by another E3 ligase, TRIM21, which in turn is regulated by KRAS. Mutant KRAS recruits RNF185 to degrade TRIM21 and subsequently TRIM4, thereby stabilizing TPL2. In the presence of mutant KRAS, TPL2 phosphorylates and degrades GSK3β, resulting in β-catenin stabilization and activation of the Wnt pathway. These findings elucidate the physiological mechanisms regulating TPL2 and its exploitation by mutant KRAS, underscoring the need to develop TPL2 inhibitors for KRAS-mutant cancers.
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Affiliation(s)
- Sapana Bansod
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Paarth B Dodhiawala
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Yutong Geng
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Ashenafi Bulle
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Peng Liu
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Department of General Surgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lin Li
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Reid Townsend
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA
| | - Patrick M Grierson
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Jason M Held
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Hema Adhikari
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA
| | - Kian-Huat Lim
- Division of Oncology, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA; Division of Endocrinology, Metabolism & Lipid Research, Department of Internal Medicine, Barnes-Jewish Hospital and The Alvin J. Siteman Comprehensive Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
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2
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Sprung RW, Zhang Q, Kramer MH, Christopher MC, Erdmann-Gilmore P, Mi Y, Malone JP, Ley TJ, Townsend RR. Stabilizing the Proteomes of Acute Myeloid Leukemia Cells: Implications for Cancer Proteomics. Mol Cell Proteomics 2024; 23:100716. [PMID: 38219859 PMCID: PMC10864662 DOI: 10.1016/j.mcpro.2024.100716] [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: 08/03/2023] [Revised: 12/18/2023] [Accepted: 01/10/2024] [Indexed: 01/16/2024] Open
Abstract
Previous work has shown that inhibition of abundant myeloid azurophil granule-associated serine proteases (ELANE [neutrophil elastase], PRTN3 [protease 3], and CTSG [Cathepsin G]) is required to stabilize some proteins in myeloid cells. We therefore hypothesized that effective inhibition of these proteases may be necessary for quantitative proteomic analysis of samples containing myeloid cells. To test this hypothesis, we thawed viably preserved acute myeloid leukemia cells from cryovials in the presence or the absence of diisopropyl fluorophosphate (DFP), a cell-permeable and irreversible serine protease inhibitor. Global proteomic analysis was performed, using label-free and isobaric peptide-labeling quantitation. The presence of DFP resulted in an increase of tryptic peptides (14-57%) and proteins (9-31%). In the absence of DFP, 11 to 31% of peptide intensity came from nontryptic peptides; 52 to 75% had cleavage specificity consistent with activities of ELANE-PRTN3. Treatment with DFP reduced the intensity of nontryptic peptides to 4-8% of the total. ELANE inhibition was 95%, based on diisopropyl phosphate modification of active site serine residue. Overall, the relative abundance of 20% of proteins was significantly altered by DFP treatment. These results suggest that active myeloid serine proteases, released during sample processing, can skew quantitative proteomic measurements. Finally, significant ELANE activity was also detected in Clinical Proteomics Tumor Analysis Consortium datasets of solid tumors (many of which have known myeloid infiltration). In the pancreatic cancer dataset, the median percentage of nontryptic intensity detected across patient samples was 34%, with many patient samples having more than half of their detected peptide intensity from nontryptic cleavage events consistent with ELANE-PRTN3 cleavage specificity. Our study suggests that in vitro cleavage of proteins by myeloid serine proteases may be relevant for proteomic studies of any tumor that contains infiltrating myeloid cells.
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Affiliation(s)
- Robert W Sprung
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Qiang Zhang
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Michael H Kramer
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Matthew C Christopher
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Petra Erdmann-Gilmore
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yiling Mi
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - James P Malone
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA.
| | - Timothy J Ley
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - R Reid Townsend
- Division of Endocrinology, Metabolism, and Lipid Research, Department of Internal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
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Hu D, Tan M, Lu D, Kleiboeker B, Liu X, Park H, Kravitz AV, Shoghi KI, Tseng YH, Razani B, Ikeda A, Lodhi IJ. TMEM135 links peroxisomes to the regulation of brown fat mitochondrial fission and energy homeostasis. Nat Commun 2023; 14:6099. [PMID: 37773161 PMCID: PMC10541902 DOI: 10.1038/s41467-023-41849-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 09/20/2023] [Indexed: 10/01/2023] Open
Abstract
Mitochondrial morphology, which is controlled by mitochondrial fission and fusion, is an important regulator of the thermogenic capacity of brown adipocytes. Adipose-specific peroxisome deficiency impairs thermogenesis by inhibiting cold-induced mitochondrial fission due to decreased mitochondrial membrane content of the peroxisome-derived lipids called plasmalogens. Here, we identify TMEM135 as a critical mediator of the peroxisomal regulation of mitochondrial fission and thermogenesis. Adipose-specific TMEM135 knockout in mice blocks mitochondrial fission, impairs thermogenesis, and increases diet-induced obesity and insulin resistance. Conversely, TMEM135 overexpression promotes mitochondrial division, counteracts obesity and insulin resistance, and rescues thermogenesis in peroxisome-deficient mice. Mechanistically, thermogenic stimuli promote association between peroxisomes and mitochondria and plasmalogen-dependent localization of TMEM135 in mitochondria, where it mediates PKA-dependent phosphorylation and mitochondrial retention of the fission factor Drp1. Together, these results reveal a previously unrecognized inter-organelle communication regulating mitochondrial fission and energy homeostasis and identify TMEM135 as a potential target for therapeutic activation of BAT.
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Affiliation(s)
- Donghua Hu
- Division of Endocrinology, Metabolism & Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Min Tan
- Division of Endocrinology, Metabolism & Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Dongliang Lu
- Division of Endocrinology, Metabolism & Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian Kleiboeker
- Division of Endocrinology, Metabolism & Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Xuejing Liu
- Division of Endocrinology, Metabolism & Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Hongsuk Park
- Division of Endocrinology, Metabolism & Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Alexxai V Kravitz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kooresh I Shoghi
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Yu-Hua Tseng
- Section on Integrative Physiology and Metabolism, Research Division, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Babak Razani
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- University of Pittsburgh School of Medicine and UPMC, Pittsburgh, PA, USA
| | - Akihiro Ikeda
- Department of Medical Genetics, University of Wisconsin-Madison, Madison, WI, USA
| | - Irfan J Lodhi
- Division of Endocrinology, Metabolism & Lipid Research, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
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4
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Lesage A, Lorenzini M, Burel S, Sarlandie M, Bibault F, Lindskog C, Maloney D, Silva JR, Townsend RR, Nerbonne JM, Marionneau C. Determinants of iFGF13-mediated regulation of myocardial voltage-gated sodium (NaV) channels in mouse. J Gen Physiol 2023; 155:e202213293. [PMID: 37516919 PMCID: PMC10374952 DOI: 10.1085/jgp.202213293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/14/2023] [Accepted: 06/30/2023] [Indexed: 07/31/2023] Open
Abstract
Posttranslational regulation of cardiac NaV1.5 channels is critical in modulating channel expression and function, yet their regulation by phosphorylation of accessory proteins has gone largely unexplored. Using phosphoproteomic analysis of NaV channel complexes from adult mouse left ventricles, we identified nine phosphorylation sites on intracellular fibroblast growth factor 13 (iFGF13). To explore the potential roles of these phosphosites in regulating cardiac NaV currents, we abolished expression of iFGF13 in neonatal and adult mouse ventricular myocytes and rescued it with wild-type (WT), phosphosilent, or phosphomimetic iFGF13-VY. While the increased rate of closed-state inactivation of NaV channels induced by Fgf13 knockout in adult cardiomyocytes was completely restored by adenoviral-mediated expression of WT iFGF13-VY, only partial rescue was observed in neonatal cardiomyocytes after knockdown. The knockdown of iFGF13 in neonatal ventricular myocytes also shifted the voltage dependence of channel activation toward hyperpolarized potentials, a shift that was not reversed by WT iFGF13-VY expression. Additionally, we found that iFGF13-VY is the predominant isoform in adult ventricular myocytes, whereas both iFGF13-VY and iFGF13-S are expressed comparably in neonatal ventricular myocytes. Similar to WT iFGF13-VY, each of the iFGF13-VY phosphomutants studied restored NaV channel inactivation properties in both models. Lastly, Fgf13 knockout also increased the late Na+ current in adult cardiomyocytes, and this effect was restored with expression of WT and phosphosilent iFGF13-VY. Together, our results demonstrate that iFGF13 is highly phosphorylated and displays differential isoform expression in neonatal and adult ventricular myocytes. While we found no roles for iFGF13 phosphorylation, our results demonstrate differential effects of iFGF13 on neonatal and adult mouse ventricular NaV channels.
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Affiliation(s)
- Adrien Lesage
- CNRS, INSERM, L’institut du Thorax, Nantes Université, Nantes, France
| | - Maxime Lorenzini
- CNRS, INSERM, L’institut du Thorax, Nantes Université, Nantes, France
| | - Sophie Burel
- CNRS, INSERM, L’institut du Thorax, Nantes Université, Nantes, France
| | - Marine Sarlandie
- CNRS, INSERM, L’institut du Thorax, Nantes Université, Nantes, France
| | - Floriane Bibault
- CNRS, INSERM, L’institut du Thorax, Nantes Université, Nantes, France
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Cancer Precision Medicine, Uppsala University, Uppsala, Sweden
| | | | - Jonathan R. Silva
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - R. Reid Townsend
- Department of Cell Biology and Physiology, Washington University Medical School, St. Louis, MO, USA
- Department of Medicine, Washington University Medical School, St. Louis, MO, USA
| | - Jeanne M. Nerbonne
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
- Department of Medicine, Washington University Medical School, St. Louis, MO, USA
- Department of Developmental Biology, Washington University Medical School, St. Louis, MO, USA
| | - Céline Marionneau
- CNRS, INSERM, L’institut du Thorax, Nantes Université, Nantes, France
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5
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Huang Y, Zhu C, Pan L, Zhang Z. The role of Mycobacterium tuberculosis acetyltransferase and protein acetylation modifications in tuberculosis. Front Cell Infect Microbiol 2023; 13:1218583. [PMID: 37560320 PMCID: PMC10407107 DOI: 10.3389/fcimb.2023.1218583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 06/29/2023] [Indexed: 08/11/2023] Open
Abstract
Tuberculosis (TB) is a widespread infectious disease caused by Mycobacterium tuberculosis (M. tb), which has been a significant burden for a long time. Post-translational modifications (PTMs) are essential for protein function in both eukaryotic and prokaryotic cells. This review focuses on the contribution of protein acetylation to the function of M. tb and its infected macrophages. The acetylation of M. tb proteins plays a critical role in virulence, drug resistance, regulation of metabolism, and host anti-TB immune response. Similarly, the PTMs of host proteins induced by M. tb are crucial for the development, treatment, and prevention of diseases. Host protein acetylation induced by M. tb is significant in regulating host immunity against TB, which substantially affects the disease's development. The review summarizes the functions and mechanisms of M. tb acetyltransferase in virulence and drug resistance. It also discusses the role and mechanism of M. tb in regulating host protein acetylation and immune response regulation. Furthermore, the current scenario of isoniazid usage in M. tb therapy treatment is examined. Overall, this review provides valuable information that can serve as a preliminary basis for studying pathogenic research, developing new drugs, exploring in-depth drug resistance mechanisms, and providing precise treatment for TB.
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Affiliation(s)
| | | | - Liping Pan
- Laboratory of Molecular Biology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing TB and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Zongde Zhang
- Laboratory of Molecular Biology, Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing TB and Thoracic Tumor Research Institute, Beijing Chest Hospital, Capital Medical University, Beijing, China
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6
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Parhizkar S, Gent G, Chen Y, Rensing N, Gratuze M, Strout G, Sviben S, Tycksen E, Zhang Q, Gilmore PE, Sprung R, Malone J, Chen W, Remolina Serrano J, Bao X, Lee C, Wang C, Landsness E, Fitzpatrick J, Wong M, Townsend R, Colonna M, Schmidt RE, Holtzman DM. Sleep deprivation exacerbates microglial reactivity and Aβ deposition in a TREM2-dependent manner in mice. Sci Transl Med 2023; 15:eade6285. [PMID: 37099634 PMCID: PMC10449561 DOI: 10.1126/scitranslmed.ade6285] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 04/07/2023] [Indexed: 04/28/2023]
Abstract
Sleep loss is associated with cognitive decline in the aging population and is a risk factor for Alzheimer's disease (AD). Considering the crucial role of immunomodulating genes such as that encoding the triggering receptor expressed on myeloid cells type 2 (TREM2) in removing pathogenic amyloid-β (Aβ) plaques and regulating neurodegeneration in the brain, our aim was to investigate whether and how sleep loss influences microglial function in mice. We chronically sleep-deprived wild-type mice and the 5xFAD mouse model of cerebral amyloidosis, expressing either the humanized TREM2 common variant, the loss-of-function R47H AD-associated risk variant, or without TREM2 expression. Sleep deprivation not only enhanced TREM2-dependent Aβ plaque deposition compared with 5xFAD mice with normal sleeping patterns but also induced microglial reactivity that was independent of the presence of parenchymal Aβ plaques. We investigated lysosomal morphology using transmission electron microscopy and found abnormalities particularly in mice without Aβ plaques and also observed lysosomal maturation impairments in a TREM2-dependent manner in both microglia and neurons, suggesting that changes in sleep modified neuro-immune cross-talk. Unbiased transcriptome and proteome profiling provided mechanistic insights into functional pathways triggered by sleep deprivation that were unique to TREM2 and Aβ pathology and that converged on metabolic dyshomeostasis. Our findings highlight that sleep deprivation directly affects microglial reactivity, for which TREM2 is required, by altering the metabolic ability to cope with the energy demands of prolonged wakefulness, leading to further Aβ deposition, and underlines the importance of sleep modulation as a promising future therapeutic approach.
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Affiliation(s)
- Samira Parhizkar
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Grace Gent
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Yun Chen
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University, St. Louis, MO, USA
| | - Nicholas Rensing
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Maud Gratuze
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Gregory Strout
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO, USA
| | - Sanja Sviben
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric Tycksen
- Genome Technology Access Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Qiang Zhang
- Department of Medicine, Washington University Medical School, St. Louis, MO, USA
| | | | - Robert Sprung
- Department of Medicine, Washington University Medical School, St. Louis, MO, USA
| | - Jim Malone
- Department of Medicine, Washington University Medical School, St. Louis, MO, USA
| | - Wei Chen
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Javier Remolina Serrano
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Bao
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Choonghee Lee
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Chanung Wang
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric Landsness
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - James Fitzpatrick
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St. Louis, MO, USA
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Michael Wong
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Reid Townsend
- Department of Medicine, Washington University Medical School, St. Louis, MO, USA
| | - Marco Colonna
- Department of Pathology and Immunology, Washington University, St. Louis, MO, USA
| | - Robert E Schmidt
- Department of Pathology and Immunology, Washington University, St. Louis, MO, USA
| | - David M Holtzman
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
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7
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Elenbaas JS, Pudupakkam U, Ashworth KJ, Kang CJ, Patel V, Santana K, Jung IH, Lee PC, Burks KH, Amrute JM, Mecham RP, Halabi CM, Alisio A, Di Paola J, Stitziel NO. SVEP1 is an endogenous ligand for the orphan receptor PEAR1. Nat Commun 2023; 14:850. [PMID: 36792666 PMCID: PMC9932102 DOI: 10.1038/s41467-023-36486-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 01/30/2023] [Indexed: 02/17/2023] Open
Abstract
Sushi, von Willebrand factor type A, EGF and pentraxin domain containing 1 (SVEP1) is an extracellular matrix protein that causally promotes vascular disease and associates with platelet reactivity in humans. Here, using a human genomic and proteomic approach, we identify a high affinity, disease-relevant, and potentially targetable interaction between SVEP1 and the orphan receptor Platelet and Endothelial Aggregation Receptor 1 (PEAR1). This interaction promotes PEAR1 phosphorylation and disease associated AKT/mTOR signaling in vascular cells and platelets. Mice lacking SVEP1 have reduced platelet activation, and exogenous SVEP1 induces PEAR1-dependent activation of platelets. SVEP1 and PEAR1 causally and concordantly relate to platelet phenotypes and cardiovascular disease in humans, as determined by Mendelian Randomization. Targeting this receptor-ligand interaction may be a viable therapeutic strategy to treat or prevent cardiovascular and thrombotic disease.
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Affiliation(s)
- Jared S Elenbaas
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
| | - Upasana Pudupakkam
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Katrina J Ashworth
- Division of Pediatric Hematology Oncology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Chul Joo Kang
- McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, 63108, USA
| | - Ved Patel
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Katherine Santana
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - In-Hyuk Jung
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Paul C Lee
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Kendall H Burks
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Junedh M Amrute
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Medical Scientist Training Program, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Robert P Mecham
- Department of Cell Biology and Physiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Carmen M Halabi
- Department of Cell Biology and Physiology, Washington University School of Medicine, Saint Louis, MO, 63110, USA
- Department of Pediatrics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Arturo Alisio
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Jorge Di Paola
- Division of Pediatric Hematology Oncology, Washington University in St. Louis, St. Louis, MO, 63110, USA
| | - Nathan O Stitziel
- Division of Cardiology, Department of Medicine, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
- McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO, 63108, USA.
- Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA.
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8
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Barlin M, Erdmann-Gilmore P, Mudd JL, Zhang Q, Seymour RW, Guo Z, Miessner JR, Goedegebuure SP, Bi Y, Osorio OA, Alexander-Brett J, Li S, Ma CX, Fields RC, Townsend RR, Held JM. Proteins in Tumor-Derived Plasma Extracellular Vesicles Indicate Tumor Origin. Mol Cell Proteomics 2023; 22:100476. [PMID: 36470535 PMCID: PMC9801135 DOI: 10.1016/j.mcpro.2022.100476] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/12/2022] [Accepted: 11/28/2022] [Indexed: 12/09/2022] Open
Abstract
Cancer-derived extracellular vesicles (EVs) promote tumorigenesis, premetastatic niche formation, and metastasis via their protein cargo. However, the proteins packaged by patient tumors into EVs cannot be determined in vivo because of the presence of EVs derived from other tissues. We therefore developed a cross-species proteomic method to quantify the human tumor-derived proteome of plasma EVs produced by patient-derived xenografts of four cancer types. Proteomic profiling revealed individualized packaging of novel protein cargo, and machine learning accurately classified the type of the underlying tumor.
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Affiliation(s)
- Meltem Barlin
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Petra Erdmann-Gilmore
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Jacqueline L Mudd
- Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Department of Surgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Qiang Zhang
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Robert W Seymour
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Zhanfang Guo
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Julia R Miessner
- Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Department of Surgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - S Peter Goedegebuure
- Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Department of Surgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Ye Bi
- Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Department of Surgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Omar A Osorio
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Jennifer Alexander-Brett
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Department of Pathology and Immunology, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Shunqiang Li
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Cynthia X Ma
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Ryan C Fields
- Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Department of Surgery, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - R Reid Townsend
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA
| | - Jason M Held
- Department of Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Siteman Cancer Center, Washington University School of Medicine in St Louis, St Louis, Missouri, USA; Department of Anesthesiology, Washington University School of Medicine in St Louis, St Louis, Missouri, USA.
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9
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Type IV Pili Are a Critical Virulence Factor in Clinical Isolates of Paenibacillus thiaminolyticus. mBio 2022; 13:e0268822. [PMID: 36374038 PMCID: PMC9765702 DOI: 10.1128/mbio.02688-22] [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] [Indexed: 11/16/2022] Open
Abstract
Hydrocephalus, the leading indication for childhood neurosurgery worldwide, is particularly prevalent in low- and middle-income countries. Hydrocephalus preceded by an infection, or postinfectious hydrocephalus, accounts for up to 60% of hydrocephalus in these areas. Since many children with hydrocephalus suffer poor long-term outcomes despite surgical intervention, prevention of hydrocephalus remains paramount. Our previous studies implicated a novel bacterial pathogen, Paenibacillus thiaminolyticus, as a causal agent of neonatal sepsis and postinfectious hydrocephalus in Uganda. Here, we report the isolation of three P. thiaminolyticus strains, Mbale, Mbale2, and Mbale3, from patients with postinfectious hydrocephalus. We constructed complete genome assemblies of the clinical isolates as well as the nonpathogenic P. thiaminolyticus reference strain and performed comparative genomic and proteomic analyses to identify potential virulence factors. All three isolates carry a unique beta-lactamase gene, and two of the three isolates exhibit resistance in culture to the beta-lactam antibiotics penicillin and ampicillin. In addition, a cluster of genes carried on a mobile genetic element that encodes a putative type IV pilus operon is present in all three clinical isolates but absent in the reference strain. CRISPR-mediated deletion of the gene cluster substantially reduced the virulence of the Mbale strain in mice. Comparative proteogenomic analysis identified various additional potential virulence factors likely acquired on mobile genetic elements in the virulent strains. These results provide insight into the emergence of virulence in P. thiaminolyticus and suggest avenues for the diagnosis and treatment of this novel bacterial pathogen. IMPORTANCE Postinfectious hydrocephalus, a devastating sequela of neonatal infection, is associated with increased childhood mortality and morbidity. A novel bacterial pathogen, Paenibacillus thiaminolyticus, is highly associated with postinfectious hydrocephalus in an African cohort. Whole-genome sequencing, RNA sequencing, and proteomics of clinical isolates and a reference strain in combination with CRISPR editing identified type IV pili as a critical virulence factor for P. thiaminolyticus infection. Acquisition of a type IV pilus-encoding mobile genetic element critically contributed to converting a nonpathogenic strain of P. thiaminolyticus into a pathogen capable of causing devastating diseases. Given the widespread presence of type IV pilus in pathogens, the presence of the type IV pilus operon could serve as a diagnostic and therapeutic target in P. thiaminolyticus and related bacteria.
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10
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Choi C, Smalley JL, Lemons AHS, Ren Q, Bope CE, Dengler JS, Davies PA, Moss SJ. Analyzing the mechanisms that facilitate the subtype-specific assembly of γ-aminobutyric acid type A receptors. Front Mol Neurosci 2022; 15:1017404. [PMID: 36263376 PMCID: PMC9574402 DOI: 10.3389/fnmol.2022.1017404] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 09/07/2022] [Indexed: 01/16/2023] Open
Abstract
Impaired inhibitory signaling underlies the pathophysiology of many neuropsychiatric and neurodevelopmental disorders including autism spectrum disorders and epilepsy. Neuronal inhibition is regulated by synaptic and extrasynaptic γ-aminobutyric acid type A receptors (GABA A Rs), which mediate phasic and tonic inhibition, respectively. These two GABA A R subtypes differ in their function, ligand sensitivity, and physiological properties. Importantly, they contain different α subunit isoforms: synaptic GABA A Rs contain the α1-3 subunits whereas extrasynaptic GABA A Rs contain the α4-6 subunits. While the subunit composition is critical for the distinct roles of synaptic and extrasynaptic GABA A R subtypes in inhibition, the molecular mechanism of the subtype-specific assembly has not been elucidated. To address this issue, we purified endogenous α1- and α4-containing GABA A Rs from adult murine forebrains and examined their subunit composition and interacting proteins using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) and quantitative analysis. We found that the α1 and α4 subunits form separate populations of GABA A Rs and interact with distinct sets of binding proteins. We also discovered that the β3 subunit, which co-purifies with both the α1 and α4 subunits, has different levels of phosphorylation on serines 408 and 409 (S408/9) between the two receptor subtypes. To understand the role S408/9 plays in the assembly of α1- and α4-containing GABA A Rs, we examined the effects of S408/9A (alanine) knock-in mutation on the subunit composition of the two receptor subtypes using LC-MS/MS and quantitative analysis. We discovered that the S408/9A mutation results in the formation of novel α1α4-containing GABA A Rs. Moreover, in S408/9A mutants, the plasma membrane expression of the α4 subunit is increased whereas its retention in the endoplasmic reticulum is reduced. These findings suggest that S408/9 play a critical role in determining the subtype-specific assembly of GABA A Rs, and thus the efficacy of neuronal inhibition.
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Affiliation(s)
- Catherine Choi
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, United States
| | - Joshua L. Smalley
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, United States
| | - Abigail H. S. Lemons
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, United States
| | - Qiu Ren
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, United States
| | - Christopher E. Bope
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, United States
| | - Jake S. Dengler
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, United States
| | - Paul A. Davies
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, United States
| | - Stephen J. Moss
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA, United States,Department of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom,*Correspondence: Stephen J. Moss,
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11
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Soler-Camargo NC, Silva-Pereira TT, Zimpel CK, Camacho MF, Zelanis A, Aono AH, Patané JS, Dos Santos AP, Guimarães AMS. The rate and role of pseudogenes of the Mycobacterium tuberculosis complex. Microb Genom 2022; 8. [PMID: 36250787 DOI: 10.1099/mgen.0.000876] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Whole-genome sequence analyses have significantly contributed to the understanding of virulence and evolution of the Mycobacterium tuberculosis complex (MTBC), the causative pathogens of tuberculosis. Most MTBC evolutionary studies are focused on single nucleotide polymorphisms and deletions, but rare studies have evaluated gene content, whereas none has comprehensively evaluated pseudogenes. Accordingly, we describe an extensive study focused on quantifying and predicting possible functions of MTBC and Mycobacterium canettii pseudogenes. Using NCBI's PGAP-detected pseudogenes, we analysed 25 837 pseudogenes from 158 MTBC and M. canetii strains and combined transcriptomics and proteomics of M. tuberculosis H37Rv to gain insights about pseudogenes' expression. Our results indicate significant variability concerning rate and conservancy of in silico predicted pseudogenes among different ecotypes and lineages of tuberculous mycobacteria and pseudogenization of important virulence factors and genes of the metabolism and antimicrobial resistance/tolerance. We show that in silico predicted pseudogenes contribute considerably to MTBC genetic diversity at the population level. Moreover, the transcription machinery of M. tuberculosis can fully transcribe most pseudogenes, indicating intact promoters and recent pseudogene evolutionary emergence. Proteomics of M. tuberculosis and close evaluation of mutational lesions driving pseudogenization suggest that few in silico predicted pseudogenes are likely capable of neofunctionalization, nonsense mutation reversal, or phase variation, contradicting the classical definition of pseudogenes. Such findings indicate that genome annotation should be accompanied by proteomics and protein function assays to improve its accuracy. While indels and insertion sequences are the main drivers of the observed mutational lesions in these species, population bottlenecks and genetic drift are likely the evolutionary processes acting on pseudogenes' emergence over time. Our findings unveil a new perspective on MTBC's evolution and genetic diversity.
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Affiliation(s)
- Naila Cristina Soler-Camargo
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.,Department of Preventive Veterinary Medicine and Animal Health, College of Veterinary Medicine, University of São Paulo, São Paulo, SP, Brazil
| | - Taiana Tainá Silva-Pereira
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil
| | - Cristina Kraemer Zimpel
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.,Department of Preventive Veterinary Medicine and Animal Health, College of Veterinary Medicine, University of São Paulo, São Paulo, SP, Brazil
| | - Maurício F Camacho
- Functional Proteomics Laboratory, Federal University of São Paulo (UNIFESP), São José dos Campos, SP, Brazil
| | - André Zelanis
- Functional Proteomics Laboratory, Federal University of São Paulo (UNIFESP), São José dos Campos, SP, Brazil
| | - Alexandre H Aono
- Center of Molecular Biology and Genetic Engineering, University of Campinas, Campinas, SP, Brazil.,Institute of Science and Technology, Federal University of São Paulo (UNIFESP), São José dos Campos, SP, Brazil
| | | | | | - Ana Marcia Sá Guimarães
- Laboratory of Applied Research in Mycobacteria, Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, SP, Brazil.,Department of Comparative Pathobiology, College of Veterinary Medicine, Purdue University
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12
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Cerebrospinal fluid regulates skull bone marrow niches via direct access through dural channels. Nat Neurosci 2022; 25:555-560. [PMID: 35301477 PMCID: PMC9081158 DOI: 10.1038/s41593-022-01029-1] [Citation(s) in RCA: 98] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 01/25/2022] [Indexed: 01/08/2023]
Abstract
It remains unclear how immune cells from skull bone marrow niches are recruited to the meninges. Here, we report that cerebrospinal fluid (CSF) accesses skull bone marrow via dura-skull channels, and CSF proteins signal onto diverse cell types within the niches. Following spinal cord injury, CSF-borne cues promote myelopoiesis and egress of myeloid cells into meninges. This reveals a mechanism of CNS- and CSF-to-bone-marrow communication that regulates CNS immune responses.
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13
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Degener MJF, van Cruchten RTP, Otero BA, Wang E, Wansink DG, ‘t Hoen PAC. A comprehensive atlas of fetal splicing patterns in the brain of adult myotonic dystrophy type 1 patients. NAR Genom Bioinform 2022; 4:lqac016. [PMID: 35274098 PMCID: PMC8903011 DOI: 10.1093/nargab/lqac016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/28/2022] [Accepted: 02/13/2022] [Indexed: 11/14/2022] Open
Abstract
In patients with myotonic dystrophy type 1 (DM1), dysregulation of RNA-binding proteins like MBNL and CELF1 leads to alternative splicing of exons and is thought to induce a return to fetal splicing patterns in adult tissues, including the central nervous system (CNS). To comprehensively evaluate this, we created an atlas of developmentally regulated splicing patterns in the frontal cortex of healthy individuals and DM1 patients, by combining RNA-seq data from BrainSpan, GTEx and DM1 patients. Thirty-four splice events displayed an inclusion pattern in DM1 patients that is typical for the fetal situation in healthy individuals. The regulation of DM1-relevant splicing patterns could partly be explained by changes in mRNA expression of the splice regulators MBNL1, MBNL2 and CELF1. On the contrary, interindividual differences in splicing patterns between healthy adults could not be explained by differential expression of these splice regulators. Our findings lend transcriptome-wide evidence to the previously noted shift to fetal splicing patterns in the adult DM1 brain as a consequence of an imbalance in antagonistic MBNL and CELF1 activities. Our atlas serves as a solid foundation for further study and understanding of the cognitive phenotype in patients.
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Affiliation(s)
- Max J F Degener
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Remco T P van Cruchten
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Brittney A Otero
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics, Genetics Institute, University of Florida, FL 32610-0266 Gainesville, FL, USA
| | - Eric T Wang
- Department of Molecular Genetics and Microbiology, Center for NeuroGenetics, Genetics Institute, University of Florida, FL 32610-0266 Gainesville, FL, USA
| | - Derick G Wansink
- Department of Cell Biology, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Peter A C ‘t Hoen
- Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
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14
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Jiao J, Zheng N, Wei W, Fleming J, Wang X, Li Z, Zhang L, Liu Y, Zhang Z, Shen A, Chuanyou L, Bi L, Zhang H. M. tuberculosis CRISPR/Cas proteins are secreted virulence factors that trigger cellular immune responses. Virulence 2021; 12:3032-3044. [PMID: 34886764 PMCID: PMC8667911 DOI: 10.1080/21505594.2021.2007621] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 09/27/2021] [Accepted: 11/10/2021] [Indexed: 11/03/2022] Open
Abstract
The role of prokaryotic CRISPR/Cas system proteins as a defensive shield against invasive nucleic acids has been studied extensively. Non-canonical roles in pathogenesis involving intracellular targeting of certain virulence-associated endogenous mRNA have also been reported for some Type I and Type II CRISPR/Cas proteins, but no such roles have yet been established for Type III system proteins. Here, we demonstrate that M. tuberculosis (Type III-A system) CRISPR/Cas proteins Csm1, Csm3, Csm5, Csm6, and Cas6 are secreted and induce host immune responses. Using cell and animal experiments, we show that Cas6, in particular, provokes IFN-γ release from PBMCs from active tuberculosis (TB) patients, and its deletion markedly attenuates virulence in a murine M. tuberculosis challenge model. Recombinant MTBCas6 induces apoptosis of macrophages and lung fibroblasts, and interacts with the surface of cells in a caspase and TLR-2 independent manner. Transcriptomic and signal pathway studies using THP-1 macrophages stimulated with MTBCas6 indicated that MTBCas6 upregulates expression of genes associated with the NF-κB pathway leading to higher levels of IL-6, IL-1β, and TNF-α release, cytokines known to activate immune system cells in response to M. tuberculosis infection. Our findings suggest that, in addition to their intracellular shielding role, M. tuberculosis CRISPR/Cas proteins have non-canonical extracellular roles, functioning like a virulent sword, and activating host immune responses.
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Affiliation(s)
- Jianjian Jiao
- Key Laboratory of RNA Biology and State Key Laboratory of Biomacromolecules, Cas Center of Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Nan Zheng
- Key Laboratory of RNA Biology and State Key Laboratory of Biomacromolecules, Cas Center of Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wenjing Wei
- Key Laboratory of RNA Biology and State Key Laboratory of Biomacromolecules, Cas Center of Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Joy Fleming
- Key Laboratory of RNA Biology and State Key Laboratory of Biomacromolecules, Cas Center of Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xingyun Wang
- Key Laboratory of RNA Biology and State Key Laboratory of Biomacromolecules, Cas Center of Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Zihui Li
- Beijing Chest Hospital, Capital Medical University; Beijing Tuberculosis and Thoracic Tumor Research Institute; Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing, China
| | - Lili Zhang
- Key Laboratory of RNA Biology and State Key Laboratory of Biomacromolecules, Cas Center of Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Yi Liu
- Beijing Chest Hospital, Capital Medical University; Beijing Tuberculosis and Thoracic Tumor Research Institute; Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing, China
| | - Zongde Zhang
- Beijing Chest Hospital, Capital Medical University; Beijing Tuberculosis and Thoracic Tumor Research Institute; Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing, China
| | - Adong Shen
- Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Li Chuanyou
- Beijing Chest Hospital, Capital Medical University; Beijing Tuberculosis and Thoracic Tumor Research Institute; Beijing Key Laboratory for Drug Resistant Tuberculosis Research, Beijing, China
| | - Lijun Bi
- Key Laboratory of RNA Biology and State Key Laboratory of Biomacromolecules, Cas Center of Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Hongtai Zhang
- Key Laboratory of RNA Biology and State Key Laboratory of Biomacromolecules, Cas Center of Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
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15
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Proteogenomic Analysis Provides Novel Insight into Genome Annotation and Nitrogen Metabolism in Nostoc sp. PCC 7120. Microbiol Spectr 2021; 9:e0049021. [PMID: 34523988 PMCID: PMC8557916 DOI: 10.1128/spectrum.00490-21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Cyanobacteria, capable of oxygenic photosynthesis, play a vital role in nitrogen and carbon cycles. Nostoc sp. PCC 7120 (Nostoc 7120) is a model cyanobacterium commonly used to study cell differentiation and nitrogen metabolism. Although its genome was released in 2002, a high-quality genome annotation remains unavailable for this model cyanobacterium. Therefore, in this study, we performed an in-depth proteogenomic analysis based on high-resolution mass spectrometry (MS) data to refine the genome annotation of Nostoc 7120. We unambiguously identified 5,519 predicted protein-coding genes and revealed 26 novel genes, 75 revised genes, and 27 different kinds of posttranslational modifications in Nostoc 7120. A subset of these novel proteins were further validated at both the mRNA and peptide levels. Functional analysis suggested that many newly annotated proteins may participate in nitrogen or cadmium/mercury metabolism in Nostoc 7120. Moreover, we constructed an updated Nostoc 7120 database based on our proteogenomic results and presented examples of how the updated database could be used to improve the annotation of proteomic data. Our study provides the most comprehensive annotation of the Nostoc 7120 genome thus far and will serve as a valuable resource for the study of nitrogen metabolism in Nostoc 7120. IMPORTANCE Cyanobacteria are a large group of prokaryotes capable of oxygenic photosynthesis and play a vital role in nitrogen and carbon cycles on Earth. Nostoc 7120 is a commonly used model cyanobacterium for studying cell differentiation and nitrogen metabolism. In this study, we presented the first comprehensive draft map of the Nostoc 7120 proteome and a wide range of posttranslational modifications. In addition, we constructed an updated database of Nostoc 7120 based on our proteogenomic results and presented examples of how the updated database could be used for system-level studies of Nostoc 7120. Our study provides the most comprehensive annotation of Nostoc 7120 genome and a valuable resource for the study of nitrogen metabolism in this model cyanobacterium.
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16
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Piendl SK, Schönfelder T, Polack M, Weigelt L, van der Zwaag T, Teutenberg T, Beckert E, Belder D. Integration of segmented microflow chemistry and online HPLC/MS analysis on a microfluidic chip system enabling enantioselective analyses at the nanoliter scale. LAB ON A CHIP 2021; 21:2614-2624. [PMID: 34008641 DOI: 10.1039/d1lc00078k] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
In this work, we introduce an approach to merge droplet microfluidics with an HPLC/MS functionality on a single chip to analyze the contents of individual droplets. This is achieved by a mechanical rotor-stator interface that precisely positions a microstructured PEEK rotor on a microfluidic chip in a pressure-tight manner. The developed full-body fused silica chip, manufactured by selective laser-induced etching, contained a segmented microflow compartment followed by a packed HPLC channel, which were interconnected by the microfluidic PEEK rotor on the fused silica lid with hair-thin through-holes. This enabled the targeted and leakage-free transfer of 10 nL fractions of droplets as small as 25 nL from the segmented microflow channel into the HPLC compartment that operated at pressures of up to 60 bar. In a proof of concept study, this approach was successfully applied to monitor reactions at the nanoliter scale and to distinguish the formed enantiomers.
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Affiliation(s)
- Sebastian K Piendl
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany.
| | - Thomas Schönfelder
- Fraunhofer Institute for Applied Optics and Precision Engineering (IOF), Albert-Einstein-Str. 7, 07745 Jena, Germany
| | - Matthias Polack
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany.
| | - Laura Weigelt
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany.
| | - Till van der Zwaag
- Institut für Energie - und Umwelttechnik e. V., Bliersheimer Str. 58-60, 47229, Duisburg, Germany
| | - Thorsten Teutenberg
- Institut für Energie - und Umwelttechnik e. V., Bliersheimer Str. 58-60, 47229, Duisburg, Germany
| | - Erik Beckert
- Fraunhofer Institute for Applied Optics and Precision Engineering (IOF), Albert-Einstein-Str. 7, 07745 Jena, Germany
| | - Detlev Belder
- Institute of Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany.
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17
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Tian F, Shi J, Li Y, Gao H, Chang L, Zhang Y, Gao L, Xu P, Tang S. Proteogenomics Study of Blastobotrys adeninivorans TMCC 70007-A Dominant Yeast in the Fermentation Process of Pu-erh Tea. J Proteome Res 2021; 20:3290-3304. [PMID: 34008989 DOI: 10.1021/acs.jproteome.1c00205] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Blastobotrys adeninivorans plays an essential role in pile-fermenting of Pu-erh tea. Its ability to assimilate various carbon and nitrogen sources makes it available for application in a wide range of industry sectors. The genome of B. adeninivorans TMCC 70007 isolated from pile-fermented Pu-erh tea was sequenced and assembled. Proteomics analysis indicated that 4900 proteins in TMCC 70007 were expressed under various culture conditions. Proteogenomics mapping revealed 48 previously unknown genes and corrected 118 gene models predicted by GeneMark-ES. Ortho-proteogenomics analysis identified 17 previously unidentified genes in B. adeninivorans LS3, the first strain with a sequenced genome among the genus Blastobotrys as well. More importantly, five species specific genes were identified from TMCC 70007, which could serve as a barcode for strain typing and were applicable for fermentation process protection of this industrial species. The datasets generated from tea aqueous extract culture not only increased the proteome coverage and accuracy but also contributed to the identification of proteins related to polyphenols and caffeine, which were considered to change greatly during the microbial fermentation of Pu-erh tea. This study provides a proteome perspective on TMCC 70007, which was considered to be an important strain in the production of Pu-erh tea. The systematic proteogenomics analysis not only made a better annotation on the genome of B. adeninivorans TMCC 70007 as previous proteogenomics study but also provided solution for fermentation process protection on valuable industrial species with species specific genes uniquely identified from proteogenomics study.
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Affiliation(s)
- Fei Tian
- Key Laboratory of Microbial Diversity in Southwest China, Ministry of Education, and Laboratory for Conservation and Utilization of Bio-resources, Yunnan Institute of Microbiology, School of Life Sciences, Yunnan University, Kunming 650091, China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, Research Unit of Proteomics & Research and Development of New Drug, Chinese Academy of Medical Sciences, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Jiahui Shi
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Research Unit of Proteomics & Research and Development of New Drug, Chinese Academy of Medical Sciences, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China.,Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences, Hebei University, Baoding 071002, China
| | - Yanchang Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Research Unit of Proteomics & Research and Development of New Drug, Chinese Academy of Medical Sciences, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Huiying Gao
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Research Unit of Proteomics & Research and Development of New Drug, Chinese Academy of Medical Sciences, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Lei Chang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Research Unit of Proteomics & Research and Development of New Drug, Chinese Academy of Medical Sciences, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Yao Zhang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Research Unit of Proteomics & Research and Development of New Drug, Chinese Academy of Medical Sciences, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Linrui Gao
- Yunnan Pu-erh Tea Fermentation Engineering Research Center, Yunnan TAETEA Microbial Technology Co., Ltd., Kunming 650217, China
| | - Ping Xu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, Research Unit of Proteomics & Research and Development of New Drug, Chinese Academy of Medical Sciences, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China.,Hebei Province Key Lab of Research and Application on Microbial Diversity, College of Life Sciences, Hebei University, Baoding 071002, China
| | - Shukun Tang
- Key Laboratory of Microbial Diversity in Southwest China, Ministry of Education, and Laboratory for Conservation and Utilization of Bio-resources, Yunnan Institute of Microbiology, School of Life Sciences, Yunnan University, Kunming 650091, China.,Yunnan Pu-erh Tea Fermentation Engineering Research Center, Yunnan TAETEA Microbial Technology Co., Ltd., Kunming 650217, China
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18
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Isaacs AM, Morton SU, Movassagh M, Zhang Q, Hehnly C, Zhang L, Morales DM, Sinnar SA, Ericson JE, Mbabazi-Kabachelor E, Ssenyonga P, Onen J, Mulondo R, Hornig M, Warf BC, Broach JR, Townsend RR, Limbrick DD, Paulson JN, Schiff SJ. Immune activation during Paenibacillus brain infection in African infants with frequent cytomegalovirus co-infection. iScience 2021; 24:102351. [PMID: 33912816 PMCID: PMC8065213 DOI: 10.1016/j.isci.2021.102351] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 02/24/2021] [Accepted: 03/19/2021] [Indexed: 12/16/2022] Open
Abstract
Inflammation during neonatal brain infections leads to significant secondary sequelae such as hydrocephalus, which often follows neonatal sepsis in the developing world. In 100 African hydrocephalic infants we identified the biological pathways that account for this response. The dominant bacterial pathogen was a Paenibacillus species, with frequent cytomegalovirus co-infection. A proteogenomic strategy was employed to confirm host immune response to Paenibacillus and to define the interplay within the host immune response network. Immune activation emphasized neuroinflammation, oxidative stress reaction, and extracellular matrix organization. The innate immune system response included neutrophil activity, signaling via IL-4, IL-12, IL-13, interferon, and Jak/STAT pathways. Platelet-activating factors and factors involved with microbe recognition such as Class I MHC antigen-presenting complex were also increased. Evidence suggests that dysregulated neuroinflammation propagates inflammatory hydrocephalus, and these pathways are potential targets for adjunctive treatments to reduce the hazards of neuroinflammation and risk of hydrocephalus following neonatal sepsis. There is a characteristic immune response to Paenibacillus brain infection There is a characteristic immune response to CMV brain infection The matching immune response validates pathogen genomic presence The combined results support molecular infection causality
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Affiliation(s)
- Albert M Isaacs
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA.,Department of Clinical Neurosciences, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Sarah U Morton
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.,Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - Mercedeh Movassagh
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Qiang Zhang
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Christine Hehnly
- Institute for Personalized Medicine, Pennsylvania State University, Hershey, PA 17033, USA.,Department of Biochemistry and Molecular Biology, Pennsylvania State University, State College, PA 16801, USA
| | - Lijun Zhang
- Institute for Personalized Medicine, Pennsylvania State University, Hershey, PA 17033, USA
| | - Diego M Morales
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Shamim A Sinnar
- Center for Neural Engineering, Pennsylvania State University, State College, PA 16801, USA.,Department of Medicine, Pennsylvania State University College of Medicine, Hershey, PA 17033, USA
| | - Jessica E Ericson
- Department of Pediatrics, Pennsylvania State College of Medicine, Hershey, PA 17033, USA
| | | | | | - Justin Onen
- CURE Children's Hospital of Uganda, Mbale, Uganda
| | | | - Mady Hornig
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Benjamin C Warf
- Department of Neurosurgery, Harvard Medical School, Boston, MA 02115, USA
| | - James R Broach
- Institute for Personalized Medicine, Pennsylvania State University, Hershey, PA 17033, USA.,Department of Biochemistry and Molecular Biology, Pennsylvania State University, State College, PA 16801, USA
| | - R Reid Townsend
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - David D Limbrick
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Joseph N Paulson
- Department of Biostatistics, Product Development, Genentech Inc., South San Francisco, CA 94080, USA
| | - Steven J Schiff
- Center for Neural Engineering, Pennsylvania State University, State College, PA 16801, USA.,Center for Infectious Disease Dynamics, Departments of Neurosurgery, Engineering Science and Mechanics, and Physics, The Pennsylvania State University, University Park, PA 16802, USA
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19
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Rustenhoven J, Drieu A, Mamuladze T, de Lima KA, Dykstra T, Wall M, Papadopoulos Z, Kanamori M, Salvador AF, Baker W, Lemieux M, Da Mesquita S, Cugurra A, Fitzpatrick J, Sviben S, Kossina R, Bayguinov P, Townsend RR, Zhang Q, Erdmann-Gilmore P, Smirnov I, Lopes MB, Herz J, Kipnis J. Functional characterization of the dural sinuses as a neuroimmune interface. Cell 2021; 184:1000-1016.e27. [PMID: 33508229 PMCID: PMC8487654 DOI: 10.1016/j.cell.2020.12.040] [Citation(s) in RCA: 297] [Impact Index Per Article: 99.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 11/17/2020] [Accepted: 12/22/2020] [Indexed: 01/02/2023]
Abstract
Despite the established dogma of central nervous system (CNS) immune privilege, neuroimmune interactions play an active role in diverse neurological disorders. However, the precise mechanisms underlying CNS immune surveillance remain elusive; particularly, the anatomical sites where peripheral adaptive immunity can sample CNS-derived antigens and the cellular and molecular mediators orchestrating this surveillance. Here, we demonstrate that CNS-derived antigens in the cerebrospinal fluid (CSF) accumulate around the dural sinuses, are captured by local antigen-presenting cells, and are presented to patrolling T cells. This surveillance is enabled by endothelial and mural cells forming the sinus stromal niche. T cell recognition of CSF-derived antigens at this site promoted tissue resident phenotypes and effector functions within the dural meninges. These findings highlight the critical role of dural sinuses as a neuroimmune interface, where brain antigens are surveyed under steady-state conditions, and shed light on age-related dysfunction and neuroinflammatory attack in animal models of multiple sclerosis.
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Affiliation(s)
- Justin Rustenhoven
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA.
| | - Antoine Drieu
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Tornike Mamuladze
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Kalil Alves de Lima
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Taitea Dykstra
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Morgan Wall
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Zachary Papadopoulos
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Neuroscience Graduate Program, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Mitsuhiro Kanamori
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Andrea Francesca Salvador
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA; Neuroscience Graduate Program, University of Virginia, Charlottesville, VA 22908, USA
| | - Wendy Baker
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Mackenzie Lemieux
- Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Medical Scientist Training Program (MSTP), School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Sandro Da Mesquita
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA; Department of Neuroscience, Mayo Clinic, Jacksonville, FL 32224, USA
| | - Andrea Cugurra
- Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA; Gutenberg Research Fellowship Group of Neuroimmunology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - James Fitzpatrick
- Washington University Center for Cellular Imaging, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Departments of Neuroscience and Cell Biology and Physiology, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Sanja Sviben
- Washington University Center for Cellular Imaging, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Ross Kossina
- Washington University Center for Cellular Imaging, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Peter Bayguinov
- Washington University Center for Cellular Imaging, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Reid R Townsend
- Department of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Qiang Zhang
- Department of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Petra Erdmann-Gilmore
- Department of Medicine, Washington University School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Igor Smirnov
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Maria-Beatriz Lopes
- Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA
| | - Jasmin Herz
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA
| | - Jonathan Kipnis
- Center for Brain Immunology and Glia (BIG), Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Pathology and Immunology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Department of Neuroscience, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA; Neuroscience Graduate Program, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA; Neuroscience Graduate Program, University of Virginia, Charlottesville, VA 22908, USA; Gutenberg Research Fellowship Group of Neuroimmunology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
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20
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Lorenzini M, Burel S, Lesage A, Wagner E, Charrière C, Chevillard PM, Evrard B, Maloney D, Ruff KM, Pappu RV, Wagner S, Nerbonne JM, Silva JR, Townsend RR, Maier LS, Marionneau C. Proteomic and functional mapping of cardiac NaV1.5 channel phosphorylation sites. J Gen Physiol 2021; 153:211660. [PMID: 33410863 PMCID: PMC7797897 DOI: 10.1085/jgp.202012646] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 10/23/2020] [Accepted: 12/03/2020] [Indexed: 12/16/2022] Open
Abstract
Phosphorylation of the voltage-gated Na+ (NaV) channel NaV1.5 regulates cardiac excitability, yet the phosphorylation sites regulating its function and the underlying mechanisms remain largely unknown. Using a systematic, quantitative phosphoproteomic approach, we analyzed NaV1.5 channel complexes purified from nonfailing and failing mouse left ventricles, and we identified 42 phosphorylation sites on NaV1.5. Most sites are clustered, and three of these clusters are highly phosphorylated. Analyses of phosphosilent and phosphomimetic NaV1.5 mutants revealed the roles of three phosphosites in regulating NaV1.5 channel expression and gating. The phosphorylated serines S664 and S667 regulate the voltage dependence of channel activation in a cumulative manner, whereas the nearby S671, the phosphorylation of which is increased in failing hearts, regulates cell surface NaV1.5 expression and peak Na+ current. No additional roles could be assigned to the other clusters of phosphosites. Taken together, our results demonstrate that ventricular NaV1.5 is highly phosphorylated and that the phosphorylation-dependent regulation of NaV1.5 channels is highly complex, site specific, and dynamic.
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Affiliation(s)
- Maxime Lorenzini
- Université de Nantes, Centre national de la recherche scientifique, Institut National de la Santé et de la Recherche Médicale, l'Institut du thorax, Nantes, France
| | - Sophie Burel
- Université de Nantes, Centre national de la recherche scientifique, Institut National de la Santé et de la Recherche Médicale, l'Institut du thorax, Nantes, France
| | - Adrien Lesage
- Université de Nantes, Centre national de la recherche scientifique, Institut National de la Santé et de la Recherche Médicale, l'Institut du thorax, Nantes, France
| | - Emily Wagner
- Department of Biomedical Engineering, Washington University in Saint Louis, St. Louis, MO
| | - Camille Charrière
- Université de Nantes, Centre national de la recherche scientifique, Institut National de la Santé et de la Recherche Médicale, l'Institut du thorax, Nantes, France
| | - Pierre-Marie Chevillard
- Université de Nantes, Centre national de la recherche scientifique, Institut National de la Santé et de la Recherche Médicale, l'Institut du thorax, Nantes, France
| | - Bérangère Evrard
- Université de Nantes, Centre national de la recherche scientifique, Institut National de la Santé et de la Recherche Médicale, l'Institut du thorax, Nantes, France
| | - Dan Maloney
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada
| | - Kiersten M Ruff
- Department of Biomedical Engineering, Washington University in Saint Louis, St. Louis, MO
| | - Rohit V Pappu
- Department of Biomedical Engineering, Washington University in Saint Louis, St. Louis, MO
| | - Stefan Wagner
- Department of Internal Medicine II, University Heart Center, University Hospital Regensburg, Regensburg, Germany
| | - Jeanne M Nerbonne
- Department of Developmental Biology, Washington University Medical School, St. Louis, MO.,Department of Medicine, Washington University Medical School, St. Louis, MO
| | - Jonathan R Silva
- Department of Biomedical Engineering, Washington University in Saint Louis, St. Louis, MO
| | - R Reid Townsend
- Department of Medicine, Washington University Medical School, St. Louis, MO.,Department of Cell Biology and Physiology, Washington University Medical School, St. Louis, MO
| | - Lars S Maier
- Department of Internal Medicine II, University Heart Center, University Hospital Regensburg, Regensburg, Germany
| | - Céline Marionneau
- Université de Nantes, Centre national de la recherche scientifique, Institut National de la Santé et de la Recherche Médicale, l'Institut du thorax, Nantes, France
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21
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Nicholson KR, Mousseau CB, Champion MM, Champion PA. The genetic proteome: Using genetics to inform the proteome of mycobacterial pathogens. PLoS Pathog 2021; 17:e1009124. [PMID: 33411813 PMCID: PMC7790235 DOI: 10.1371/journal.ppat.1009124] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Mycobacterial pathogens pose a sustained threat to human health. There is a critical need for new diagnostics, therapeutics, and vaccines targeting both tuberculous and nontuberculous mycobacterial species. Understanding the basic mechanisms used by diverse mycobacterial species to cause disease will facilitate efforts to design new approaches toward detection, treatment, and prevention of mycobacterial disease. Molecular, genetic, and biochemical approaches have been widely employed to define fundamental aspects of mycobacterial physiology and virulence. The recent expansion of genetic tools in mycobacteria has further increased the accessibility of forward genetic approaches. Proteomics has also emerged as a powerful approach to further our understanding of diverse mycobacterial species. Detection of large numbers of proteins and their modifications from complex mixtures of mycobacterial proteins is now routine, with efforts of quantification of these datasets becoming more robust. In this review, we discuss the “genetic proteome,” how the power of genetics, molecular biology, and biochemistry informs and amplifies the quality of subsequent analytical approaches and maximizes the potential of hypothesis-driven mycobacterial research. Published proteomics datasets can be used for hypothesis generation and effective post hoc supplementation to experimental data. Overall, we highlight how the integration of proteomics, genetic, molecular, and biochemical approaches can be employed successfully to define fundamental aspects of mycobacterial pathobiology.
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Affiliation(s)
- Kathleen R. Nicholson
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - C. Bruce Mousseau
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, United States of America
| | - Matthew M. Champion
- Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, United States of America
- Boler-Parseghian Center for Rare and Neglected Diseases, University of Notre Dame, Notre Dame Indiana, United States of America
- * E-mail: (MMC); (PAC)
| | - Patricia A. Champion
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, United States of America
- Boler-Parseghian Center for Rare and Neglected Diseases, University of Notre Dame, Notre Dame Indiana, United States of America
- * E-mail: (MMC); (PAC)
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22
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Hamidieh F, Farnia P, Nowroozi J, Farnia P, Velayati AA. An Overview of Genetic Information of Latent Mycobacterium tuberculosis. Tuberc Respir Dis (Seoul) 2020; 84:1-12. [PMID: 33121230 PMCID: PMC7801807 DOI: 10.4046/trd.2020.0116] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 10/30/2020] [Indexed: 11/24/2022] Open
Abstract
Mycobacterium tuberculosis has infected more than two billion individuals worldwide, of whom 5%–10% have clinically active disease and 90%–95% remain in the latent stage with a reservoir of viable bacteria in the macrophages for extended periods of time. The tubercle bacilli at this stage are usually called dormant, non-viable, and/or non-culturable microorganisms. The patients with latent bacilli will not have clinical pictures and are not infectious. The infections in about 2%–23% of the patients with latent status become reactivated for various reasons such as cancer, human immunodeficiency virus infection, diabetes, and/or aging. Many studies have examined the mechanisms involved in the latent state of Mycobacterium and showed that latency modified the expression of many genes. Therefore, several mechanisms will change in this bacterium. Hence, this study aimed to briefly examine the genes involved in the latent state as well as the changes that are caused by Mycobacterium tuberculosis. The study also evaluated the relationship between the functions of these genes.
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Affiliation(s)
- Faezeh Hamidieh
- Departement of Microbiology, Faculty of Biological Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Parissa Farnia
- Mycobacteriology Research (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jamileh Nowroozi
- Departement of Microbiology, Faculty of Biological Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Poopak Farnia
- Mycobacteriology Research (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Department of Biotechnology, School of Advanced Technology in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ali Akbar Velayati
- Mycobacteriology Research (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
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23
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Augenstreich J, Briken V. Host Cell Targets of Released Lipid and Secreted Protein Effectors of Mycobacterium tuberculosis. Front Cell Infect Microbiol 2020; 10:595029. [PMID: 33194845 PMCID: PMC7644814 DOI: 10.3389/fcimb.2020.595029] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 09/22/2020] [Indexed: 12/12/2022] Open
Abstract
Mycobacterium tuberculosis (Mtb) is a very successful pathogen, strictly adapted to humans and the cause of tuberculosis. Its success is associated with its ability to inhibit host cell intrinsic immune responses by using an arsenal of virulence factors of different nature. It has evolved to synthesize a series of complex lipids which form an outer membrane and may also be released to enter host cell membranes. In addition, secreted protein effectors of Mtb are entering the host cell cytosol to interact with host cell proteins. We briefly discuss the current model, involving the ESX-1 type seven secretion system and the Mtb lipid phthiocerol dimycoserosate (PDIM), of how Mtb creates pores in the phagosomal membrane to allow Mtb proteins to access to the host cell cytosol. We provide an exhaustive list of Mtb secreted proteins that have effector functions. They modify (mostly inhibit but sometimes activate) host cell pathways such as: phagosome maturation, cell death, cytokine response, xenophagy, reactive oxygen species (ROS) response via NADPH oxidase 2 (NOX2), nitric oxide (NO) response via NO Synthase 2 (NOS2) and antigen presentation via MHC class I and class II molecules. We discuss the host cell targets for each lipid and protein effector and the importance of the Mtb effector for virulence of the bacterium.
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Affiliation(s)
| | - Volker Briken
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD, United States
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24
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Nguyen M, Olson R, Shukla M, VanOeffelen M, Davis JJ. Predicting antimicrobial resistance using conserved genes. PLoS Comput Biol 2020; 16:e1008319. [PMID: 33075053 PMCID: PMC7595632 DOI: 10.1371/journal.pcbi.1008319] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 10/29/2020] [Accepted: 09/07/2020] [Indexed: 11/18/2022] Open
Abstract
A growing number of studies are using machine learning models to accurately predict antimicrobial resistance (AMR) phenotypes from bacterial sequence data. Although these studies are showing promise, the models are typically trained using features derived from comprehensive sets of AMR genes or whole genome sequences and may not be suitable for use when genomes are incomplete. In this study, we explore the possibility of predicting AMR phenotypes using incomplete genome sequence data. Models were built from small sets of randomly-selected core genes after removing the AMR genes. For Klebsiella pneumoniae, Mycobacterium tuberculosis, Salmonella enterica, and Staphylococcus aureus, we report that it is possible to classify susceptible and resistant phenotypes with average F1 scores ranging from 0.80-0.89 with as few as 100 conserved non-AMR genes, with very major error rates ranging from 0.11-0.23 and major error rates ranging from 0.10-0.20. Models built from core genes have predictive power in cases where the primary AMR mechanisms result from SNPs or horizontal gene transfer. By randomly sampling non-overlapping sets of core genes, we show that F1 scores and error rates are stable and have little variance between replicates. Although these small core gene models have lower accuracies and higher error rates than models built from the corresponding assembled genomes, the results suggest that sufficient variation exists in the core non-AMR genes of a species for predicting AMR phenotypes.
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Affiliation(s)
- Marcus Nguyen
- Division of Data Science and Learning, Argonne National Laboratory, Argonne Illinois, United States of America
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America
| | - Robert Olson
- Division of Data Science and Learning, Argonne National Laboratory, Argonne Illinois, United States of America
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America
| | - Maulik Shukla
- Division of Data Science and Learning, Argonne National Laboratory, Argonne Illinois, United States of America
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America
| | - Margo VanOeffelen
- Fellowship for Interpretation of Genomes, Burr Ridge, Illinois, Illinois, United States of America
| | - James J. Davis
- Division of Data Science and Learning, Argonne National Laboratory, Argonne Illinois, United States of America
- Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America
- Fellowship for Interpretation of Genomes, Burr Ridge, Illinois, Illinois, United States of America
- Northwestern Argonne Institute for Science and Engineering, Evanston, Illinois, United States of America
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25
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Pediatric Tuberculosis: The Impact of "Omics" on Diagnostics Development. Int J Mol Sci 2020; 21:ijms21196979. [PMID: 32977381 PMCID: PMC7582311 DOI: 10.3390/ijms21196979] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/15/2020] [Accepted: 09/17/2020] [Indexed: 02/07/2023] Open
Abstract
Tuberculosis (TB) is a major public health concern for all ages. However, the disease presents a larger challenge in pediatric populations, partially owing to the lack of reliable diagnostic standards for the early identification of infection. Currently, there are no biomarkers that have been clinically validated for use in pediatric TB diagnosis. Identification and validation of biomarkers could provide critical information on prognosis of disease, and response to treatment. In this review, we discuss how the “omics” approach has influenced biomarker discovery and the advancement of a next generation rapid point-of-care diagnostic for TB, with special emphasis on pediatric disease. Limitations of current published studies and the barriers to their implementation into the field will be thoroughly reviewed within this article in hopes of highlighting future avenues and needs for combating the problem of pediatric tuberculosis.
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26
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Yimer SA, Kalayou S, Homberset H, Birhanu AG, Riaz T, Zegeye ED, Lutter T, Abebe M, Holm-Hansen C, Aseffa A, Tønjum T. Lineage-Specific Proteomic Signatures in the Mycobacterium tuberculosis Complex Reveal Differential Abundance of Proteins Involved in Virulence, DNA Repair, CRISPR-Cas, Bioenergetics and Lipid Metabolism. Front Microbiol 2020; 11:550760. [PMID: 33072011 PMCID: PMC7536270 DOI: 10.3389/fmicb.2020.550760] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 08/17/2020] [Indexed: 01/17/2023] Open
Abstract
Despite the discovery of the tubercle bacillus more than 130 years ago, its physiology and the mechanisms of virulence are still not fully understood. A comprehensive analysis of the proteomes of members of the human-adapted Mycobacterium tuberculosis complex (MTBC) lineages 3, 4, 5, and 7 was conducted to better understand the evolution of virulence and other physiological characteristics. Unique and shared proteomic signatures in these modern, pre-modern and ancient MTBC lineages, as deduced from quantitative bioinformatics analyses of high-resolution mass spectrometry data, were delineated. The main proteomic findings were verified by using immunoblotting. In addition, analysis of multiple genome alignment of members of the same lineages was performed. Label-free peptide quantification of whole cells from MTBC lineages 3, 4, 5, and 7 yielded a total of 38,346 unique peptides derived from 3092 proteins, representing 77% coverage of the predicted proteome. MTBC lineage-specific differential expression was observed for 539 proteins. Lineage 7 exhibited a markedly reduced abundance of proteins involved in DNA repair, type VII ESX-3 and ESX-1 secretion systems, lipid metabolism and inorganic phosphate uptake, and an increased abundance of proteins involved in alternative pathways of the TCA cycle and the CRISPR-Cas system as compared to the other lineages. Lineages 3 and 4 exhibited a higher abundance of proteins involved in virulence, DNA repair, drug resistance and other metabolic pathways. The high throughput analysis of the MTBC proteome by super-resolution mass spectrometry provided an insight into the differential expression of proteins between MTBC lineages 3, 4, 5, and 7 that may explain the slow growth and reduced virulence, metabolic flexibility, and the ability to survive under adverse growth conditions of lineage 7.
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Affiliation(s)
- Solomon Abebe Yimer
- Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway.,Coalition for Epidemic Preparedness Innovations, Oslo, Norway
| | - Shewit Kalayou
- Division of Laboratory Medicine, Department of Microbiology, Oslo University Hospital, Oslo, Norway.,International Centre of Insect Physiology and Ecology, Nairobi, Kenya
| | - Håvard Homberset
- Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway
| | - Alemayehu Godana Birhanu
- Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway.,Division of Laboratory Medicine, Department of Microbiology, Oslo University Hospital, Oslo, Norway.,Institute of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Tahira Riaz
- Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway
| | - Ephrem Debebe Zegeye
- NORCE Norwegian Research Centre AS, Centre for Applied Biotechnology, Bergen, Norway
| | - Timo Lutter
- Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway
| | - Markos Abebe
- Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Carol Holm-Hansen
- Division of Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Abraham Aseffa
- Armauer Hansen Research Institute, Addis Ababa, Ethiopia
| | - Tone Tønjum
- Unit for Genome Dynamics, Department of Microbiology, University of Oslo, Oslo, Norway.,Division of Laboratory Medicine, Department of Microbiology, Oslo University Hospital, Oslo, Norway
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27
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Protein N-Terminal Acetylation: Structural Basis, Mechanism, Versatility, and Regulation. Trends Biochem Sci 2020; 46:15-27. [PMID: 32912665 DOI: 10.1016/j.tibs.2020.08.005] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 08/03/2020] [Accepted: 08/06/2020] [Indexed: 12/15/2022]
Abstract
N-terminal acetylation (NTA) is one of the most widespread protein modifications, which occurs on most eukaryotic proteins, but is significantly less common on bacterial and archaea proteins. This modification is carried out by a family of enzymes called N-terminal acetyltransferases (NATs). To date, 12 NATs have been identified, harboring different composition, substrate specificity, and in some cases, modes of regulation. Recent structural and biochemical analysis of NAT proteins allows for a comparison of their molecular mechanisms and modes of regulation, which are described here. Although sharing an evolutionarily conserved fold and related catalytic mechanism, each catalytic subunit uses unique elements to mediate substrate-specific activity, and use NAT-type specific auxiliary and regulatory subunits, for their cellular functions.
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28
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Patra D, Kim J, Zhang Q, Tycksen E, Sandell LJ. Site-1 protease ablation in the osterix-lineage in mice results in bone marrow neutrophilia and hematopoietic stem cell alterations. Biol Open 2020; 9:bio052993. [PMID: 32576566 PMCID: PMC7328000 DOI: 10.1242/bio.052993] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 04/24/2020] [Indexed: 01/03/2023] Open
Abstract
Site-1 protease (S1P) ablation in the osterix-lineage in mice drastically reduces bone development and downregulates bone marrow-derived skeletal stem cells. Here we show that these mice also suffer from spina bifida occulta with a characteristic lack of bone fusion in the posterior neural arches. Molecular analysis of bone marrow-derived non-red blood cell cells, via single-cell RNA-Seq and protein mass spectrometry, demonstrate that these mice have a much-altered bone marrow with a significant increase in neutrophils and Ly6C-expressing leukocytes. The molecular composition of bone marrow neutrophils is also different as they express more and additional members of the stefin A (Stfa) family of proteins. In vitro, recombinant Stfa1 and Stfa2 proteins have the ability to drastically inhibit osteogenic differentiation of bone marrow stromal cells, with no effect on adipogenic differentiation. FACS analysis of hematopoietic stem cells show that despite a decrease in hematopoietic stem cells, S1P ablation results in an increased production of granulocyte-macrophage progenitors, the precursors to neutrophils. These observations indicate that S1P has a role in the lineage specification of hematopoietic stem cells and/or their progenitors for development of a normal hematopoietic niche. Our study designates a fundamental requirement of S1P for maintaining a balanced regenerative capacity of the bone marrow niche.
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Affiliation(s)
- Debabrata Patra
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Joongho Kim
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Qiang Zhang
- Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Eric Tycksen
- McDonnell Genome Institute, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Linda J Sandell
- Department of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA
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29
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Potential Plasticity of the Mannoprotein Repertoire Associated to Mycobacterium tuberculosis Virulence Unveiled by Mass Spectrometry-Based Glycoproteomics. Molecules 2020; 25:molecules25102348. [PMID: 32443484 PMCID: PMC7287972 DOI: 10.3390/molecules25102348] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Revised: 05/04/2020] [Accepted: 05/13/2020] [Indexed: 12/17/2022] Open
Abstract
To date, Mycobacterium tuberculosis (Mtb) remains the world’s greatest infectious killer. The rise of multidrug-resistant strains stresses the need to identify new therapeutic targets to fight the epidemic. We previously demonstrated that bacterial protein-O-mannosylation is crucial for Mtb infectiousness, renewing the interest of the bacterial-secreted mannoproteins as potential drug-targetable virulence factors. The difficulty of inventorying the mannoprotein repertoire expressed by Mtb led us to design a stringent multi-step workflow for the reliable identification of glycosylated peptides by large-scale mass spectrometry-based proteomics. Applied to the differential analyses of glycoproteins secreted by the wild-type Mtb strain—and by its derived mutant invalidated for the protein-O-mannosylating enzyme PMTub—this approach led to the identification of not only most already known mannoproteins, but also of yet-unknown mannosylated proteins. In addition, analysis of the glycoproteome expressed by the isogenic recombinant Mtb strain overexpressing the PMTub gene revealed an unexpected mannosylation of proteins, with predicted or demonstrated functions in Mtb growth and interaction with the host cell. Since in parallel, a transient increased expression of the PMTub gene has been observed in the wild-type bacilli when infecting macrophages, our results strongly suggest that the Mtb mannoproteome may undergo adaptive regulation during infection of the host cells. Overall, our results provide deeper insights into the complexity of the repertoire of mannosylated proteins expressed by Mtb, and open the way to novel opportunities to search for still-unexploited potential therapeutic targets.
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30
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Wei X, Adak S, Zayed M, Yin L, Feng C, Speck SL, Kathayat RS, Zhang Q, Dickinson BC, Semenkovich CF. Endothelial Palmitoylation Cycling Coordinates Vessel Remodeling in Peripheral Artery Disease. Circ Res 2020; 127:249-265. [PMID: 32233916 DOI: 10.1161/circresaha.120.316752] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
RATIONALE Peripheral artery disease, common in metabolic syndrome and diabetes mellitus, responds poorly to medical interventions and is characterized by chronic vessel immaturity leading to lower extremity amputations. OBJECTIVE To define the role of reversible palmitoylation at the endothelium in the maintenance of vascular maturity. METHODS AND RESULTS Endothelial knockout of the depalmitoylation enzyme APT-1 (acyl-protein thioesterase 1) in mice impaired recovery from chronic hindlimb ischemia, a model of peripheral artery disease. Endothelial APT-1 deficiency decreased fibronectin processing, disrupted adherens junctions, and inhibited in vitro lumen formation. In an unbiased palmitoylation proteomic screen of endothelial cells from genetically modified mice, R-Ras, known to promote vessel maturation, was preferentially affected by APT-1 deficiency. R-Ras was validated as an APT-1 substrate, and click chemistry analyses demonstrated increased R-Ras palmitoylation in cells with APT-1 deficiency. APT-1 enzyme activity was decreased in endothelial cells from db/db mice. Hyperglycemia decreased APT-1 activity in human umbilical vein endothelial cells, due, in part, to altered acetylation of the APT-1 protein. Click chemistry analyses demonstrated increased R-Ras palmitoylation in the setting of hyperglycemia. Altered R-Ras trafficking, increased R-Ras palmitoylation, and fibronectin retention were found in diabetes mellitus models. Loss of R-Ras depalmitoylation caused by APT-1 deficiency constrained R-Ras membrane trafficking, as shown by total internal reflection fluorescence imaging. To rescue cellular phenotypes, we generated an R-Ras molecule with an inserted hydrophilic domain to circumvent membrane rigidity caused by defective palmitoylation turnover. This modification corrected R-Ras membrane trafficking, restored fibronectin processing, increased adherens junctions, and rescued defective lumen formation induced by APT-1 deficiency. CONCLUSIONS These results suggest that endothelial depalmitoylation is regulated by the metabolic milieu and controls plasma membrane partitioning to maintain vascular homeostasis.
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Affiliation(s)
- Xiaochao Wei
- From the Division of Endocrinology, Metabolism and Lipid Research (X.W., S.A., L.Y., C.F., S.L.S., Q.Z., C.F.S.), Washington University, St Louis, MO
| | - Sangeeta Adak
- From the Division of Endocrinology, Metabolism and Lipid Research (X.W., S.A., L.Y., C.F., S.L.S., Q.Z., C.F.S.), Washington University, St Louis, MO
| | - Mohamed Zayed
- Section of Vascular Surgery, Department of Surgery (M.Z.), Washington University, St Louis, MO.,Veterans Affairs St Louis Health Care System, MO (M.Z.)
| | - Li Yin
- From the Division of Endocrinology, Metabolism and Lipid Research (X.W., S.A., L.Y., C.F., S.L.S., Q.Z., C.F.S.), Washington University, St Louis, MO
| | - Chu Feng
- From the Division of Endocrinology, Metabolism and Lipid Research (X.W., S.A., L.Y., C.F., S.L.S., Q.Z., C.F.S.), Washington University, St Louis, MO
| | - Sarah L Speck
- From the Division of Endocrinology, Metabolism and Lipid Research (X.W., S.A., L.Y., C.F., S.L.S., Q.Z., C.F.S.), Washington University, St Louis, MO
| | - Rahul S Kathayat
- Department of Chemistry, University of Chicago, IL (R.S.K., B.C.D.)
| | - Qiang Zhang
- From the Division of Endocrinology, Metabolism and Lipid Research (X.W., S.A., L.Y., C.F., S.L.S., Q.Z., C.F.S.), Washington University, St Louis, MO
| | | | - Clay F Semenkovich
- From the Division of Endocrinology, Metabolism and Lipid Research (X.W., S.A., L.Y., C.F., S.L.S., Q.Z., C.F.S.), Washington University, St Louis, MO.,Department of Cell Biology and Physiology (C.F.S.), Washington University, St Louis, MO
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31
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A Universal Stress Protein That Controls Bacterial Stress Survival in Micrococcus luteus. J Bacteriol 2019; 201:JB.00497-19. [PMID: 31548273 DOI: 10.1128/jb.00497-19] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 09/05/2019] [Indexed: 12/14/2022] Open
Abstract
Bacteria have remarkable mechanisms to survive severe external stresses, and one of the most enigmatic is the nonreplicative persistent (NRP) state. Practically, NRP bacteria are difficult to treat, and so inhibiting the proteins underlying this survival state may render such bacteria more susceptible to external stresses, including antibiotics. Unfortunately, we know little about the proteins and mechanisms conferring survival through the NRP state. Here, we report that a universal stress protein (Usp) is a primary regulator of bacterial survival through the NRP state in Micrococcus luteus NCTC 2665, a biosafety level 1 (BSL1) mycobacterial relative. Usps are widely conserved, and bacteria, including Mycobacterium tuberculosis, Mycobacterium smegmatis, and Escherichia coli, have multiple paralogs with overlapping functions that have obscured their functional roles. A kanamycin resistance cassette inserted into the M. luteus universal stress protein A 616 gene (ΔuspA616::kan M. luteus) ablates the UspA616 protein and drastically impairs M. luteus survival under even short-term starvation (survival, 83% wild type versus 32% ΔuspA616::kan M. luteus) and hypoxia (survival, 96% wild type versus 48% ΔuspA616::kan M. luteus). We observed no detrimental UspA616 knockout phenotype in logarithmic growth. Proteomics demonstrated statistically significant log-phase upregulation of glyoxylate pathway enzymes isocitrate lyase and malate synthase in ΔuspA616::kan M. luteus We note that these enzymes and the M. tuberculosis UspA616 homolog (Rv2623) are important in M. tuberculosis virulence and chronic infection, suggesting that Usps are important stress proteins across diverse bacterial species. We propose that UspA616 is a metabolic switch that controls survival by regulating the glyoxylate shunt.IMPORTANCE Bacteria tolerate severe external stresses, including antibiotics, through a nonreplicative persistent (NRP) survival state, yet the proteins regulating this survival state are largely unknown. We show a specific universal stress protein (UspA616) controls the NRP state in Micrococcus luteus Usps are widely conserved across bacteria, but their biological function(s) has remained elusive. UspA616 inactivation renders M. luteus susceptible to stress: bacteria die instead of adapting through the NRP state. UspA616 regulates malate synthase and isocitrate lyase, glyoxylate pathway enzymes important for chronic Mycobacterium tuberculosis infection. These data show that UspA616 regulates NRP stress survival in M. luteus and suggest a function for homologous proteins in other bacteria. Importantly, inhibitors of UspA616 and homologs may render NRP bacteria more susceptible to stresses, including current antibiotics.
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32
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Aspatwar A, Kairys V, Rala S, Parikka M, Bozdag M, Carta F, Supuran CT, Parkkila S. Mycobacterium tuberculosis β-Carbonic Anhydrases: Novel Targets for Developing Antituberculosis Drugs. Int J Mol Sci 2019; 20:ijms20205153. [PMID: 31627429 PMCID: PMC6834203 DOI: 10.3390/ijms20205153] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 10/12/2019] [Accepted: 10/15/2019] [Indexed: 12/15/2022] Open
Abstract
The genome of Mycobacterium tuberculosis (Mtb) encodes three β-carbonic anhydrases (CAs, EC 4.2.1.1) that are crucial for the life cycle of the bacterium. The Mtbβ-CAs have been cloned and characterized, and the catalytic activities of the enzymes have been studied. The crystal structures of two of the enzymes have been resolved. In vitro inhibition studies have been conducted using different classes of carbonic anhydrase inhibitors (CAIs). In vivo inhibition studies of pathogenic bacteria containing β-CAs showed that β-CA inhibitors effectively inhibited the growth of pathogenic bacteria. The in vitro and in vivo studies clearly demonstrated that β-CAs of not only mycobacterial species, but also other pathogenic bacteria, can be targeted for developing novel antimycobacterial agents for treating tuberculosis and other microbial infections that are resistant to existing drugs. In this review, we present the molecular and structural data on three β-CAs of Mtb that will give us better insights into the roles of these enzymes in pathogenic bacterial species. We also present data from both in vitro inhibition studies using different classes of chemical compounds and in vivo inhibition studies focusing on M. marinum, a model organism and close relative of Mtb.
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Affiliation(s)
- Ashok Aspatwar
- Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland.
| | - Visvaldas Kairys
- Department of Bioinformatics, Institute of Biotechnology, Life Sciences Centre, Vilnius University, Saulėtekio al. 7, LT-10257 Vilnius, Lithuania.
| | - Sangeetha Rala
- Tampere University of Applied Sciences, Kuntokatu 3, FI-33520 Tampere, Finland.
| | - Mataleena Parikka
- Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland.
| | - Murat Bozdag
- Neurofarba Department, Sezione di Chimica Farmaceutica e Nutraceutica, Università degli Studi di Firenze, Via U. Schiff 6, I-50019 Sesto Fiorentino, Firenze, Italy.
| | - Fabrizio Carta
- Neurofarba Department, Sezione di Chimica Farmaceutica e Nutraceutica, Università degli Studi di Firenze, Via U. Schiff 6, I-50019 Sesto Fiorentino, Firenze, Italy.
| | - Claudiu T Supuran
- Neurofarba Department, Sezione di Chimica Farmaceutica e Nutraceutica, Università degli Studi di Firenze, Via U. Schiff 6, I-50019 Sesto Fiorentino, Firenze, Italy.
| | - Seppo Parkkila
- Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland.
- Fimlab Ltd. and Tampere University Hospital, FI-33520 Tampere, Finland.
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33
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Kaspar JR, Walker AR. Expanding the Vocabulary of Peptide Signals in Streptococcus mutans. Front Cell Infect Microbiol 2019; 9:194. [PMID: 31245303 PMCID: PMC6563777 DOI: 10.3389/fcimb.2019.00194] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Accepted: 05/21/2019] [Indexed: 12/18/2022] Open
Abstract
Streptococci, including the dental pathogen Streptococcus mutans, undergo cell-to-cell signaling that is mediated by small peptides to control critical physiological functions such as adaptation to the environment, control of subpopulation behaviors and regulation of virulence factors. One such model pathway is the regulation of genetic competence, controlled by the ComRS signaling system and the peptide XIP. However, recent research in the characterization of this pathway has uncovered novel operons and peptides that are intertwined into its regulation. These discoveries, such as cell lysis playing a critical role in XIP release and importance of bacterial self-sensing during the signaling process, have caused us to reevaluate previous paradigms and shift our views on the true purpose of these signaling systems. The finding of new peptides such as the ComRS inhibitor XrpA and the peptides of the RcrRPQ operon also suggests there may be more peptides hidden in the genomes of streptococci that could play critical roles in the physiology of these organisms. In this review, we summarize the recent findings in S. mutans regarding the integration of other circuits into the ComRS signaling pathway, the true mode of XIP export, and how the RcrRPQ operon controls competence activation. We also look at how new technologies can be used to re-annotate the genome to find new open reading frames that encode peptide signals. Together, this summary of research will allow us to reconsider how we perceive these systems to behave and lead us to expand our vocabulary of peptide signals within the genus Streptococcus.
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Affiliation(s)
- Justin R. Kaspar
- Department of Oral Biology, University of Florida, Gainesville, FL, United States
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Stamm CE, Pasko BL, Chaisavaneeyakorn S, Franco LH, Nair VR, Weigele BA, Alto NM, Shiloh MU. Screening Mycobacterium tuberculosis Secreted Proteins Identifies Mpt64 as a Eukaryotic Membrane-Binding Bacterial Effector. mSphere 2019; 4:e00354-19. [PMID: 31167949 PMCID: PMC6553557 DOI: 10.1128/msphere.00354-19] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 05/19/2019] [Indexed: 02/07/2023] Open
Abstract
Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis, is one of the most successful human pathogens. One reason for its success is that Mtb can reside within host macrophages, a cell type that normally functions to phagocytose and destroy infectious bacteria. However, Mtb is able to evade macrophage defenses in order to survive for prolonged periods of time. Many intracellular pathogens secrete virulence factors targeting host membranes and organelles to remodel their intracellular environmental niche. We hypothesized that Mtb secreted proteins that target host membranes are vital for Mtb to adapt to and manipulate the host environment for survival. Thus, we characterized 200 secreted proteins from Mtb for their ability to associate with eukaryotic membranes using a unique temperature-sensitive yeast screen and to manipulate host trafficking pathways using a modified inducible secretion screen. We identified five Mtb secreted proteins that both associated with eukaryotic membranes and altered the host secretory pathway. One of these secreted proteins, Mpt64, localized to the endoplasmic reticulum during Mtb infection of murine and human macrophages and impaired the unfolded protein response in macrophages. These data highlight the importance of secreted proteins in Mtb pathogenesis and provide a basis for further investigation into their molecular mechanisms.IMPORTANCE Advances have been made to identify secreted proteins of Mycobacterium tuberculosis during animal infections. These data, combined with transposon screens identifying genes important for M. tuberculosis virulence, have generated a vast resource of potential M. tuberculosis virulence proteins. However, the function of many of these proteins in M. tuberculosis pathogenesis remains elusive. We have integrated three cell biological screens to characterize nearly 200 M. tuberculosis secreted proteins for eukaryotic membrane binding, host subcellular localization, and interactions with host vesicular trafficking. In addition, we observed the localization of one secreted protein, Mpt64, to the endoplasmic reticulum (ER) during M. tuberculosis infection of macrophages. Interestingly, although Mpt64 is exported by the Sec pathway, its delivery into host cells was dependent upon the action of the type VII secretion system. Finally, we observed that Mpt64 impairs the ER-mediated unfolded protein response in macrophages.
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Affiliation(s)
- Chelsea E Stamm
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Breanna L Pasko
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Sujittra Chaisavaneeyakorn
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Luis H Franco
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Center for Autophagy Research, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Vidhya R Nair
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Bethany A Weigele
- Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Neal M Alto
- Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Michael U Shiloh
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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35
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Thompson CR, Champion MM, Champion PA. Quantitative N-Terminal Footprinting of Pathogenic Mycobacteria Reveals Differential Protein Acetylation. J Proteome Res 2018; 17:3246-3258. [PMID: 30080413 DOI: 10.1021/acs.jproteome.8b00373] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
N-terminal acetylation (NTA) is a post-transcriptional modification of proteins that is conserved from bacteria to humans. In bacteria, the enzymes that mediate protein NTA also promote antimicrobial resistance. In pathogenic mycobacteria, which cause human tuberculosis and other chronic infections, NTA has been linked to pathogenesis and stress response, yet the fundamental biology underlying NTA of mycobacterial proteins remains unclear. We enriched, defined, and quantified the NT-acetylated populations of both cell-associated and secreted proteins from both the human pathogen, Mycobacterium tuberculosis, and the nontuberculous opportunistic pathogen, Mycobacterium marinum. We used a parallel N-terminal enrichment strategy from proteolytic digests coupled to charge-based selection and stable isotope ratio mass spectrometry. We show that NTA of the mycobacterial proteome is abundant, diverse, and primarily on Thr residues, which is unique compared with other bacteria. We isolated both the acetylated and unacetylated forms of 256 proteins, indicating that NTA of mycobacterial proteins is homeostatic. We identified 16 mycobacterial proteins with differential levels of NTA on the cytoplasmic and secreted forms, linking protein modification and localization. Our findings reveal novel biology underlying the NTA of mycobacterial proteins, which may provide a basis to understand NTA in mycobacterial physiology, pathogenesis, and antimicrobial resistance.
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36
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Haghighi F, Talebpour Z, Nezhad AS. Towards fully integrated liquid chromatography on a chip: Evolution and evaluation. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.05.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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37
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Nair D, Krishna JG, Panikkar MVN, Nair BG, Pai JG, Nair SS. Identification, purification, biochemical and mass spectrometric characterization of novel phycobiliproteins from a marine red alga, Centroceras clavulatum. Int J Biol Macromol 2018; 114:679-691. [DOI: 10.1016/j.ijbiomac.2018.03.153] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 03/22/2018] [Accepted: 03/25/2018] [Indexed: 11/30/2022]
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38
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Pinto SM, Verma R, Advani J, Chatterjee O, Patil AH, Kapoor S, Subbannayya Y, Raja R, Gandotra S, Prasad TSK. Integrated Multi-Omic Analysis of Mycobacterium tuberculosis H37Ra Redefines Virulence Attributes. Front Microbiol 2018; 9:1314. [PMID: 29971057 PMCID: PMC6018540 DOI: 10.3389/fmicb.2018.01314] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 05/30/2018] [Indexed: 12/18/2022] Open
Abstract
H37Ra is a virulence attenuated strain of Mycobacterium tuberculosis widely employed as a model to investigate virulence mechanisms. Comparative high-throughput studies have earlier correlated its avirulence to the presence of specific mutations or absence of certain proteins. However, a recent sequencing study of H37Ra, has disproved several genomic differences earlier reported to be associated with virulence. This warrants further investigations on the H37Ra proteome as well. In this study, we carried out an integrated analysis of the genome, transcriptome, and proteome of H37Ra. In addition to confirming single nucleotide variations (SNVs) and insertion-deletions that were reported earlier, our study provides novel insights into the mutation spectrum in the promoter regions of 7 genes. We also provide transcriptional and proteomic evidence for 3,900 genes representing ~80% of the total predicted gene count including 408 proteins that have not been identified previously. We identified 9 genes whose coding potential was hitherto reported to be absent in H37Ra. These include 2 putative virulence factors belonging to ESAT-6 like family of proteins. Furthermore, proteogenomic analysis enabled us to identify 63 novel proteins coding genes and correct 25 existing gene models in H37Ra genome. A majority of these were found to be conserved in the virulent strain H37Rv as well as in other mycobacterial species suggesting that the differences in the virulent and avirulent strains of M. tuberculosis are not entirely dependent on the expression of certain proteins or their absence but may possibly be ascertained to functional changes.
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Affiliation(s)
- Sneha M Pinto
- Center for Systems Biology and Molecular Medicine, Yenepoya (Deemed to be University), Mangalore, India
| | - Renu Verma
- Institute of Bioinformatics, International Technology Park, Bangalore, India
| | - Jayshree Advani
- Institute of Bioinformatics, International Technology Park, Bangalore, India.,Manipal Academy of Higher Education, Manipal, India
| | - Oishi Chatterjee
- Center for Systems Biology and Molecular Medicine, Yenepoya (Deemed to be University), Mangalore, India.,Institute of Bioinformatics, International Technology Park, Bangalore, India.,School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, India
| | - Arun H Patil
- Center for Systems Biology and Molecular Medicine, Yenepoya (Deemed to be University), Mangalore, India.,Institute of Bioinformatics, International Technology Park, Bangalore, India.,School of Biotechnology, KIIT University, Bhubaneswar, India
| | - Saketh Kapoor
- Center for Systems Biology and Molecular Medicine, Yenepoya (Deemed to be University), Mangalore, India
| | - Yashwanth Subbannayya
- Center for Systems Biology and Molecular Medicine, Yenepoya (Deemed to be University), Mangalore, India
| | - Remya Raja
- Institute of Bioinformatics, International Technology Park, Bangalore, India
| | - Sheetal Gandotra
- CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - T S Keshava Prasad
- Center for Systems Biology and Molecular Medicine, Yenepoya (Deemed to be University), Mangalore, India.,Institute of Bioinformatics, International Technology Park, Bangalore, India
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39
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Thompson RE, Lake A, Kenny P, Saunders MN, Sakers K, Iyer NR, Dougherty JD, Sakiyama-Elbert SE. Different Mixed Astrocyte Populations Derived from Embryonic Stem Cells Have Variable Neuronal Growth Support Capacities. Stem Cells Dev 2017; 26:1597-1611. [PMID: 28851266 DOI: 10.1089/scd.2017.0121] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Central nervous system injury often leads to functional impairment due, in part, to the formation of an inhibitory glial scar following injury that contributes to poor regeneration. Astrocytes are the major cellular components of the glial scar, which has led to the belief that they are primarily inhibitory following injury. Recent work has challenged this by demonstrating that some astrocytes are required for spinal cord regeneration and astrocytic roles in recovery depend on their phenotype. In this work, two mixed populations containing primarily either fibrous or protoplasmic astrocytes were derived from mouse embryonic stem cells (mESCs). Motoneuron and V2a interneuron growth on live cultures, freeze-lysed cultures, or decellularized extracellular matrix (ECM) from astrocytes were assessed. Both neuronal populations were found to extend significantly longer neurites on protoplasmic-derived substrates than fibrous-derived substrates. Interestingly, neurons extended longer neurites on protoplasmic-derived ECM than fibrous-derived ECM. ECM proteins were compared with in vivo astrocyte expression profiles, and it was found that the ESC-derived ECMs were enriched for astrocyte-specific proteins. Further characterization revealed that protoplasmic ECM had significantly higher levels of axon growth promoting proteins, while fibrous ECM had significantly higher levels of proteins that inhibit axon growth. Supporting this observation, knockdown of spondin-1 improved neurite growth on fibrous ECM, while laminin α5 and γ1 knockdown decreased neurite growth on protoplasmic ECM. These methods allow for scalable production of specific astrocyte subtype-containing populations with different neuronal growth support capacities, and can be used for further studies of the functional importance of astrocyte heterogeneity.
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Affiliation(s)
- Russell E Thompson
- 1 Department of Biomedical Engineering, Washington University in St. Louis , St. Louis, Missouri.,2 Department of Biomedical Engineering, University of Texas at Austin , Austin, Texas
| | - Allison Lake
- 3 Department of Genetics, Washington University School of Medicine , St. Louis, Missouri.,4 Department of Psychiatry, Washington University School of Medicine , St. Louis, Missouri
| | - Peter Kenny
- 2 Department of Biomedical Engineering, University of Texas at Austin , Austin, Texas
| | - Michael N Saunders
- 1 Department of Biomedical Engineering, Washington University in St. Louis , St. Louis, Missouri.,2 Department of Biomedical Engineering, University of Texas at Austin , Austin, Texas
| | - Kristina Sakers
- 3 Department of Genetics, Washington University School of Medicine , St. Louis, Missouri.,4 Department of Psychiatry, Washington University School of Medicine , St. Louis, Missouri
| | - Nisha R Iyer
- 1 Department of Biomedical Engineering, Washington University in St. Louis , St. Louis, Missouri
| | - Joseph D Dougherty
- 3 Department of Genetics, Washington University School of Medicine , St. Louis, Missouri.,4 Department of Psychiatry, Washington University School of Medicine , St. Louis, Missouri
| | - Shelly E Sakiyama-Elbert
- 1 Department of Biomedical Engineering, Washington University in St. Louis , St. Louis, Missouri.,2 Department of Biomedical Engineering, University of Texas at Austin , Austin, Texas
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40
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Domingo-Gonzalez R, Das S, Griffiths KL, Ahmed M, Bambouskova M, Gopal R, Gondi S, Muñoz-Torrico M, Salazar-Lezama MA, Cruz-Lagunas A, Jiménez-Álvarez L, Ramirez-Martinez G, Espinosa-Soto R, Sultana T, Lyons-Weiler J, Reinhart TA, Arcos J, de la Luz Garcia-Hernandez M, Mastrangelo MA, Al-Hammadi N, Townsend R, Balada-Llasat JM, Torrelles JB, Kaplan G, Horne W, Kolls JK, Artyomov MN, Rangel-Moreno J, Zúñiga J, Khader SA. Interleukin-17 limits hypoxia-inducible factor 1α and development of hypoxic granulomas during tuberculosis. JCI Insight 2017; 2:92973. [PMID: 28978810 PMCID: PMC5841875 DOI: 10.1172/jci.insight.92973] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 08/31/2017] [Indexed: 12/24/2022] Open
Abstract
Mycobacterium tuberculosis (Mtb) is a global health threat, compounded by the emergence of drug-resistant strains. A hallmark of pulmonary tuberculosis (TB) is the formation of hypoxic necrotic granulomas, which upon disintegration, release infectious Mtb. Furthermore, hypoxic necrotic granulomas are associated with increased disease severity and provide a niche for drug-resistant Mtb. However, the host immune responses that promote the development of hypoxic TB granulomas are not well described. Using a necrotic Mtb mouse model, we show that loss of Mtb virulence factors, such as phenolic glycolipids, decreases the production of the proinflammatory cytokine IL-17 (also referred to as IL-17A). IL-17 production negatively regulates the development of hypoxic TB granulomas by limiting the expression of the transcription factor hypoxia-inducible factor 1α (HIF1α). In human TB patients, HIF1α mRNA expression is increased. Through genotyping and association analyses in human samples, we identified a link between the single nucleotide polymorphism rs2275913 in the IL-17 promoter (-197G/G), which is associated with decreased IL-17 production upon stimulation with Mtb cell wall. Together, our data highlight a potentially novel role for IL-17 in limiting the development of hypoxic necrotic granulomas and reducing disease severity in TB.
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Affiliation(s)
| | | | | | | | - Monika Bambouskova
- Division of Immunobiology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Radha Gopal
- Children’s Hospital of Pittsburgh, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | | | - Marcela Muñoz-Torrico
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | | | - Alfredo Cruz-Lagunas
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Luis Jiménez-Álvarez
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | | | - Ramón Espinosa-Soto
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
| | - Tamanna Sultana
- Bioinformatics Analysis Core, Genomics and Proteomics Core Laboratories, and
| | - James Lyons-Weiler
- Bioinformatics Analysis Core, Genomics and Proteomics Core Laboratories, and
| | - Todd A. Reinhart
- Department of Infectious Diseases and Microbiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Jesus Arcos
- Department of Microbial Infection and Immunity, The Ohio State University, Columbus, Ohio, USA
| | | | - Michael A. Mastrangelo
- Cardiovascular Research Institute, Department of Medicine, University of Rochester Medical Center, Rochester, New York, USA
| | | | - Reid Townsend
- Proteomics Shared Resource, Washington University in St. Louis, St. Louis, Missouri, USA
| | | | - Jordi B. Torrelles
- Department of Microbial Infection and Immunity, The Ohio State University, Columbus, Ohio, USA
| | - Gilla Kaplan
- Public Health Research Institute Center, New Jersey Medical School-Rutgers, State University of New Jersey, Newark, New Jersey, USA
| | - William Horne
- Richard King Mellon Institute for Pediatric Research, Department of Pediatrics and Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jay K. Kolls
- Richard King Mellon Institute for Pediatric Research, Department of Pediatrics and Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Maxim N. Artyomov
- Division of Immunobiology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Javier Rangel-Moreno
- Division of Allergy, Immunology and Rheumatology, Department of Medicine, University of Rochester Medical Center, Rochester, New York, USA
| | - Joaquín Zúñiga
- Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Mexico City, Mexico
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41
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Rahlwes KC, Ha SA, Motooka D, Mayfield JA, Baumoel LR, Strickland JN, Torres-Ocampo AP, Nakamura S, Morita YS. The cell envelope-associated phospholipid-binding protein LmeA is required for mannan polymerization in mycobacteria. J Biol Chem 2017; 292:17407-17417. [PMID: 28855252 DOI: 10.1074/jbc.m117.804377] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 08/28/2017] [Indexed: 11/06/2022] Open
Abstract
The integrity of the distinguishing, multilaminate cell envelope surrounding mycobacteria is critical to their survival and pathogenesis. The prevalence of phosphatidylinositol mannosides in the cell envelope suggests an important role in the mycobacterial life cycle. Indeed, deletion of the pimE gene (ΔpimE) encoding the first committed step in phosphatidylinositol hexamannoside biosynthesis in Mycobacterium smegmatis results in the formation of smaller colonies than wild-type colonies on Middlebrook 7H10 agar. To further investigate potential contributors to cell-envelope mannan biosynthesis while taking advantage of this colony morphology defect, we isolated spontaneous suppressor mutants of ΔpimE that reverted to wild-type colony size. Of 22 suppressor mutants, 6 accumulated significantly shorter lipomannan or lipoarabinomannan. Genome sequencing of these mutants revealed mutations in genes involved in the lipomannan/lipoarabinomannan biosynthesis, such as those encoding the arabinosyltransferase EmbC and the mannosyltransferase MptA. Furthermore, we identified three mutants carrying a mutation in a previously uncharacterized gene, MSMEG_5785, that we designated lmeA Complementation of these suppressor mutants with lmeA restored the original ΔpimE phenotypes and deletion of lmeA in wild-type M. smegmatis resulted in smaller lipomannan, as observed in the suppressor mutants. LmeA carries a predicted N-terminal signal peptide, and density gradient fractionation and detergent extractability experiments indicated that LmeA localizes to the cell envelope. Using a lipid ELISA, we found that LmeA binds to plasma membrane phospholipids, such as phosphatidylethanolamine and phosphatidylinositol. LmeA is widespread throughout the Corynebacteriales; therefore, we concluded that LmeA is an evolutionarily conserved cell-envelope protein critical for controlling the mannan chain length of lipomannan/lipoarabinomannan.
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Affiliation(s)
- Kathryn C Rahlwes
- From the Department of Microbiology, University of Massachusetts, Amherst, MA 01003
| | - Stephanie A Ha
- From the Department of Microbiology, University of Massachusetts, Amherst, MA 01003
| | - Daisuke Motooka
- the Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Jacob A Mayfield
- the Division of Rheumatology, Immunology, and Allergy, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02445
| | - Lisa R Baumoel
- From the Department of Microbiology, University of Massachusetts, Amherst, MA 01003
| | - Justin N Strickland
- From the Department of Microbiology, University of Massachusetts, Amherst, MA 01003
| | - Ana P Torres-Ocampo
- From the Department of Microbiology, University of Massachusetts, Amherst, MA 01003
| | - Shota Nakamura
- the Department of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka University, Osaka 565-0871, Japan
| | - Yasu S Morita
- From the Department of Microbiology, University of Massachusetts, Amherst, MA 01003,
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42
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Abendroth U, Adlung N, Otto A, Grüneisen B, Becher D, Bonas U. Identification of new protein-coding genes with a potential role in the virulence of the plant pathogen Xanthomonas euvesicatoria. BMC Genomics 2017; 18:625. [PMID: 28814272 PMCID: PMC5559785 DOI: 10.1186/s12864-017-4041-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Accepted: 08/08/2017] [Indexed: 01/08/2023] Open
Abstract
Background Bacteria of the genus Xanthomonas are economically important plant pathogens. Pathogenicity of Xanthomonas spp. depends on the type III-secretion system and additional virulence determinants. The number of sequenced Xanthomonas genomes increases rapidly, however, accurate annotation of these genomes is difficult, because it relies on gene prediction programs. In this study, we used a mass-spectrometry (MS)-based approach to identify the proteome of Xanthomonas euvesicatoria (Xe) strain 85–10 also known as X. campestris pv. vesicatoria, a well-studied member of plant-pathogenic Xanthomonadaceae. Results Using different culture conditions, MS-datasets were searched against a six-frame-translated genome database of Xe. In total, we identified 2588 proteins covering 55% of the Xe genome, including 764 hitherto hypothetical proteins. Our proteogenomic approach identified 30 new protein-coding genes and allowed correction of the N-termini of 50 protein-coding genes. For five novel and two N-terminally corrected genes the corresponding proteins were confirmed by immunoblot. Furthermore, our data indicate that two putative type VI-secretion systems encoded in Xe play no role in bacterial virulence which was experimentally confirmed. Conclusions The discovery and re-annotation of numerous genes in the genome of Xe shows that also a well-annotated genome can be improved. Additionally, our proteogenomic analyses validates “hypothetical” proteins and will improve annotation of Xanthomonadaceae genomes, providing a solid basis for further studies. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-4041-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ulrike Abendroth
- Institute for Biology, Department of Genetics, Martin-Luther-Universität Halle-Wittenberg, D-06099, Halle, Germany.
| | - Norman Adlung
- Institute for Biology, Department of Genetics, Martin-Luther-Universität Halle-Wittenberg, D-06099, Halle, Germany
| | - Andreas Otto
- Institute for Microbiology, Department of Mass Spectrometry, Ernst-Moritz-Arndt-Universität, D-17487, Greifswald, Germany
| | - Benjamin Grüneisen
- Institute for Biology, Department of Genetics, Martin-Luther-Universität Halle-Wittenberg, D-06099, Halle, Germany.,Department of Psychiatry and Psychotherapy, Martin-Luther-Universität Halle-Wittenberg, D-06097, Halle, Germany
| | - Dörte Becher
- Institute for Microbiology, Department of Mass Spectrometry, Ernst-Moritz-Arndt-Universität, D-17487, Greifswald, Germany
| | - Ulla Bonas
- Institute for Biology, Department of Genetics, Martin-Luther-Universität Halle-Wittenberg, D-06099, Halle, Germany.
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43
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Zheng J, Chen L, Liu L, Li H, Liu B, Zheng D, Liu T, Dong J, Sun L, Zhu Y, Yang J, Zhang X, Jin Q. Proteogenomic Analysis and Discovery of Immune Antigens in Mycobacterium vaccae. Mol Cell Proteomics 2017; 16:1578-1590. [PMID: 28733429 DOI: 10.1074/mcp.m116.065813] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2016] [Revised: 07/05/2017] [Indexed: 11/06/2022] Open
Abstract
Tuberculosis (TB) is one of the leading causes of death worldwide, especially in developing countries. Neonatal BCG vaccination occurs in various regions, but the level of protection varies in different populations. Recently, Mycobacterium vaccae is found to be an immunomodulating therapeutic agent that could confer a significant level of protection against TB. It is the only vaccine in a phase III trial from WHO to assess its efficacy and safety in preventing TB disease in people with latent TB infection. However, the mechanism of immunotherapy of M. vaccae remains poorly understood. In this study, the full genome of M. vaccae was obtained by next-generation sequencing technology, and a proteogenomic approach was successfully applied to further perform genome annotation using high resolution and high accuracy MS data. A total of 3,387 proteins (22,508 unique peptides) were identified, and 581 proteins annotated as hypothetical proteins in the genome database were confirmed. Furthermore, 38 novel protein products not annotated at the genome level were detected and validated. Additionally, the translational start sites of 445 proteins were confirmed, and 98 proteins were validated through extension of their translational start sites based on N terminus-derived peptides. The physicochemical characteristics of the identified proteins were determined. Thirty-five immunogenic proteins of M. vaccae were identified by immunoproteomic analysis, and 20 of them were selected to be expressed and validated by Western blot for immunoreactivity to serum from patients infected with M. tuberculosis The results revealed that eight of them showed strong specific reactive signals on the immunoblots. Furthermore, cellular immune response was further examined and one protein displayed a higher cellular immune level in pulmonary TB patients. Twelve identified immunogenic proteins have orthologous in H37Rv and BCG. This is the first study to obtain the full genome and annotation of M. vaccae using a proteogenomic approach, and some immunogenic proteins that were validated by immunoproteomic analysis could contribute to the understanding of the mechanism of M. vaccae immunotherapy.
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Affiliation(s)
- Jianhua Zheng
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lihong Chen
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liguo Liu
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haifeng Li
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Liu
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dandan Zheng
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Liu
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie Dong
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lilian Sun
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yafang Zhu
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian Yang
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaobing Zhang
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Jin
- ‡From the MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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44
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Translational Control of the SigR-Directed Oxidative Stress Response in Streptomyces via IF3-Mediated Repression of a Noncanonical GTC Start Codon. mBio 2017; 8:mBio.00815-17. [PMID: 28611250 PMCID: PMC5472188 DOI: 10.1128/mbio.00815-17] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The major oxidative stress response in Streptomyces is controlled by the sigma factor SigR and its cognate antisigma factor RsrA, and SigR activity is tightly controlled through multiple mechanisms at both the transcriptional and posttranslational levels. Here we show that sigR has a highly unusual GTC start codon and that this leads to another level of SigR regulation, in which SigR translation is repressed by translation initiation factor 3 (IF3). Changing the GTC to a canonical start codon causes SigR to be overproduced relative to RsrA, resulting in unregulated and constitutive expression of the SigR regulon. Similarly, introducing IF3* mutations that impair its ability to repress SigR translation has the same effect. Thus, the noncanonical GTC sigR start codon and its repression by IF3 are critical for the correct and proper functioning of the oxidative stress regulatory system. sigR and rsrA are cotranscribed and translationally coupled, and it had therefore been assumed that SigR and RsrA are produced in stoichiometric amounts. Here we show that RsrA can be transcribed and translated independently of SigR, present evidence that RsrA is normally produced in excess of SigR, and describe the factors that determine SigR-RsrA stoichiometry. In all sigma factor-antisigma factor regulatory switches, the relative abundance of the two proteins is critical to the proper functioning of the system. Many sigma-antisigma operons are cotranscribed and translationally coupled, leading to a generic assumption that the sigma and antisigma factors are produced in a fixed 1:1 ratio. In the case of sigR-rsrA, we show instead that the antisigma factor is produced in excess over the sigma factor, providing a buffer to prevent spurious release of sigma activity. This excess arises in part because sigR has an extremely rare noncanonical GTC start codon, and as a result, SigR translation initiation is repressed by IF3. This finding highlights the potential significance of noncanonical start codons, very few of which have been characterized experimentally. It also emphasizes the limitations of predicting start codons using bioinformatic approaches, which rely heavily on the assumption that ATG, GTG, and TTG are the only permissible start codons.
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45
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Yimer SA, Birhanu AG, Kalayou S, Riaz T, Zegeye ED, Beyene GT, Holm-Hansen C, Norheim G, Abebe M, Aseffa A, Tønjum T. Comparative Proteomic Analysis of Mycobacterium tuberculosis Lineage 7 and Lineage 4 Strains Reveals Differentially Abundant Proteins Linked to Slow Growth and Virulence. Front Microbiol 2017; 8:795. [PMID: 28536560 PMCID: PMC5423352 DOI: 10.3389/fmicb.2017.00795] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Accepted: 04/18/2017] [Indexed: 12/22/2022] Open
Abstract
In order to decipher the nature of the slowly growing Mycobacterium tuberculosis (M.tuberculosis) lineage 7, the differentially abundant proteins in strains of M. tuberculosis lineage 7 and lineage 4 were defined. Comparative proteomic analysis by mass spectrometry was employed to identify, quantitate and compare the protein profiles of strains from the two M. tuberculosis lineages. Label-free peptide quantification of whole cells from M. tuberculosis lineage 7 and 4 yielded the identification of 2825 and 2541 proteins, respectively. A combined total of 2867 protein groups covering 71% of the predicted M. tuberculosis proteome were identified. The abundance of 125 proteins in M. tuberculosis lineage 7 and 4 strains was significantly altered. Notably, the analysis showed that a number of M. tuberculosis proteins involved in growth and virulence were less abundant in lineage 7 strains compared to lineage 4. Five ABC transporter proteins, three phosphate binding proteins essential for inorganic phosphate uptake, and six components of the type 7 secretion system ESX-3 involved in iron acquisition were less abundant in M. tuberculosis lineage 7. This proteogenomic analysis provided an insight into the lineage 7-specific protein profile which may provide clues to understanding the differential properties of lineage 7 strains in terms of slow growth, survival fitness, and pathogenesis.
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Affiliation(s)
- Solomon A Yimer
- Department of Microbiology, Oslo University HospitalOslo, Norway.,Department of Microbiology, University of OsloOslo, Norway
| | - Alemayehu G Birhanu
- Department of Microbiology, University of OsloOslo, Norway.,Department of Medical Biotechnology, Institute of Biotechnology, Addis Ababa UniversityAddis Ababa, Ethiopia
| | - Shewit Kalayou
- Department of Microbiology, Oslo University HospitalOslo, Norway
| | - Tahira Riaz
- Department of Microbiology, University of OsloOslo, Norway
| | - Ephrem D Zegeye
- Centre for Applied Biotechnology, Uni Research EnvironmentBergen, Norway
| | | | - Carol Holm-Hansen
- Infection Control and Environmental Health, Norwegian Institute of Public HealthOslo, Norway
| | - Gunnstein Norheim
- Infection Control and Environmental Health, Norwegian Institute of Public HealthOslo, Norway
| | - Markos Abebe
- Department of Research and Innovation, Armauer Hansen Research InstituteAddis Ababa, Ethiopia
| | - Abraham Aseffa
- Department of Research and Innovation, Armauer Hansen Research InstituteAddis Ababa, Ethiopia
| | - Tone Tønjum
- Department of Microbiology, Oslo University HospitalOslo, Norway.,Department of Microbiology, University of OsloOslo, Norway
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46
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Budelier MM, Cheng WWL, Bergdoll L, Chen ZW, Janetka JW, Abramson J, Krishnan K, Mydock-McGrane L, Covey DF, Whitelegge JP, Evers AS. Photoaffinity labeling with cholesterol analogues precisely maps a cholesterol-binding site in voltage-dependent anion channel-1. J Biol Chem 2017; 292:9294-9304. [PMID: 28396346 DOI: 10.1074/jbc.m116.773069] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 03/31/2017] [Indexed: 12/31/2022] Open
Abstract
Voltage-dependent anion channel-1 (VDAC1) is a highly regulated β-barrel membrane protein that mediates transport of ions and metabolites between the mitochondria and cytosol of the cell. VDAC1 co-purifies with cholesterol and is functionally regulated by cholesterol, among other endogenous lipids. Molecular modeling studies based on NMR observations have suggested five cholesterol-binding sites in VDAC1, but direct experimental evidence for these sites is lacking. Here, to determine the sites of cholesterol binding, we photolabeled purified mouse VDAC1 (mVDAC1) with photoactivatable cholesterol analogues and analyzed the photolabeled sites with both top-down mass spectrometry (MS), and bottom-up MS paired with a clickable, stable isotope-labeled tag, FLI-tag. Using cholesterol analogues with a diazirine in either the 7 position of the steroid ring (LKM38) or the aliphatic tail (KK174), we mapped a binding pocket in mVDAC1 localized to Thr83 and Glu73, respectively. When Glu73 was mutated to a glutamine, KK174 no longer photolabeled this residue, but instead labeled the nearby Tyr62 within this same binding pocket. The combination of analytical strategies employed in this work permits detailed molecular mapping of a cholesterol-binding site in a protein, including an orientation of the sterol within the site. Our work raises the interesting possibility that cholesterol-mediated regulation of VDAC1 may be facilitated through a specific binding site at the functionally important Glu73 residue.
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Affiliation(s)
- Melissa M Budelier
- From the Departments of Anesthesiology.,Biochemistry and Molecular Biophysics
| | | | | | - Zi-Wei Chen
- From the Departments of Anesthesiology.,the Taylor Family Institute for Innovative Psychiatric Research, Washington University in St. Louis, St. Louis, Missouri 63110
| | | | - Jeff Abramson
- the Departments of Physiology and.,the Institute for Stem Cell Biology and Regenerative Medicine, Nation Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore 560065 Karnataka, India
| | | | | | - Douglas F Covey
- From the Departments of Anesthesiology.,the Taylor Family Institute for Innovative Psychiatric Research, Washington University in St. Louis, St. Louis, Missouri 63110.,Developmental Biology, and.,Psychiatry, and
| | - Julian P Whitelegge
- Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California 90095, and
| | - Alex S Evers
- From the Departments of Anesthesiology, .,the Taylor Family Institute for Innovative Psychiatric Research, Washington University in St. Louis, St. Louis, Missouri 63110.,Developmental Biology, and
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47
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Essuman K, Summers DW, Sasaki Y, Mao X, DiAntonio A, Milbrandt J. The SARM1 Toll/Interleukin-1 Receptor Domain Possesses Intrinsic NAD + Cleavage Activity that Promotes Pathological Axonal Degeneration. Neuron 2017; 93:1334-1343.e5. [PMID: 28334607 PMCID: PMC6284238 DOI: 10.1016/j.neuron.2017.02.022] [Citation(s) in RCA: 396] [Impact Index Per Article: 56.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 01/20/2017] [Accepted: 02/09/2017] [Indexed: 01/08/2023]
Abstract
Axonal degeneration is an early and prominent feature of many neurological disorders. SARM1 is the central executioner of the axonal degeneration pathway that culminates in depletion of axonal NAD+, yet the identity of the underlying NAD+-depleting enzyme(s) is unknown. Here, in a series of experiments using purified proteins from mammalian cells, bacteria, and a cell-free protein translation system, we show that the SARM1-TIR domain itself has intrinsic NADase activity-cleaving NAD+ into ADP-ribose (ADPR), cyclic ADPR, and nicotinamide, with nicotinamide serving as a feedback inhibitor of the enzyme. Using traumatic and vincristine-induced injury models in neurons, we demonstrate that the NADase activity of full-length SARM1 is required in axons to promote axonal NAD+ depletion and axonal degeneration after injury. Hence, the SARM1 enzyme represents a novel therapeutic target for axonopathies. Moreover, the widely utilized TIR domain is a protein motif that can possess enzymatic activity.
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Affiliation(s)
- Kow Essuman
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Daniel W Summers
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA; Department of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Yo Sasaki
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Xianrong Mao
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Aaron DiAntonio
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri 63110, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
| | - Jeffrey Milbrandt
- Department of Genetics, Washington University School of Medicine, St. Louis, Missouri 63110, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
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48
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Bhat AH, Pathak D, Rao A. The alr-groEL1 operon in Mycobacterium tuberculosis: an interplay of multiple regulatory elements. Sci Rep 2017; 7:43772. [PMID: 28256563 PMCID: PMC5335608 DOI: 10.1038/srep43772] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Accepted: 01/30/2017] [Indexed: 12/12/2022] Open
Abstract
Threonylcarbamoyladenosine is a universally conserved essential modification of tRNA that ensures translational fidelity in cellular milieu. TsaD, TsaB and TsaE are identified as tRNA-A37-threonylcarbamoyl (t6A)-transferase enzymes that have been reconstituted in vitro, in few bacteria recently. However, transcriptional organization and regulation of these genes are not known in any of these organisms. This study describes the intricate architecture of a complex multicistronic alr-groEL1 operon, harboring essential genes, namely tsaD, tsaB, tsaE, groES, groEL1, and alr (required for cell wall synthesis), and rimI encoding an N-α- acetyltransferase in Mycobacterium tuberculosis. Using northern blotting, RT-PCR and in vivo fluorescence assays, genes alr to groEL1 were found to constitute an ~6.3 kb heptacistronic operon with multiple internal promoters and an I-shaped intrinsic hairpin-like cis-regulatory element. A strong promoter PtsaD within the coding sequence of rimI gene is identified in M. tuberculosis, in addition. The study further proposes an amendment in the known bicistronic groESL1 operon annotation by providing evidence that groESL1 is co-transcribed as sub-operon of alr-groEL1 operon. The architecture of alr-groEL1 operon, conservation of the genetic context and a mosaic transcriptional profile displayed under various stress conditions convincingly suggest the involvement of this operon in stress adaptation in M. tuberculosis.
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Affiliation(s)
- Aadil H Bhat
- CSIR-Institute of Microbial Technology, Sector 39-A, Chandigarh-160036, India
| | - Deepika Pathak
- CSIR-Institute of Microbial Technology, Sector 39-A, Chandigarh-160036, India
| | - Alka Rao
- CSIR-Institute of Microbial Technology, Sector 39-A, Chandigarh-160036, India
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49
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Budelier MM, Cheng WWL, Bergdoll L, Chen ZW, Abramson J, Krishnan K, Qian M, Covey DF, Janetka JW, Evers AS. Click Chemistry Reagent for Identification of Sites of Covalent Ligand Incorporation in Integral Membrane Proteins. Anal Chem 2017; 89:2636-2644. [PMID: 28194953 DOI: 10.1021/acs.analchem.6b05003] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Identifying sites of protein-ligand interaction is important for structure-based drug discovery and understanding protein structure-function relationships. Mass spectrometry (MS) has emerged as a useful tool for identifying residues covalently modified by ligands. Current methods use database searches that are dependent on acquiring interpretable fragmentation spectra (MS2) of peptide-ligand adducts. This is problematic for identifying sites of hydrophobic ligand incorporation in integral membrane proteins (IMPs), where poor aqueous solubility and ionization of peptide-ligand adducts and collision-induced adduct loss hinder the acquisition of quality MS2 spectra. To address these issues, we developed a fast ligand identification (FLI) tag that can be attached to any alkyne-containing ligand via Cu(I)-catalyzed cycloaddition. The FLI tag adds charge to increase solubility and ionization, and utilizes stable isotope labeling for MS1 level identification of hydrophobic peptide-ligand adducts. The FLI tag was coupled to an alkyne-containing neurosteroid photolabeling reagent and used to identify peptide-steroid adducts in MS1 spectra via the stable heavy isotope pair. Peptide-steroid adducts were not identified in MS2-based database searches because collision-induced adduct loss was the dominant feature of collision-induced dissociation (CID) fragmentation, but targeted analysis of MS1 pairs using electron transfer dissociation (ETD) markedly reduced adduct loss. Using the FLI tag and ETD, we identified Glu73 as the site of photoincorporation of our neurosteroid ligand in the IMP, mouse voltage-dependent anion channel-1 (mVDAC1), and top-down MS confirmed a single site of photolabeling.
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Affiliation(s)
- Melissa M Budelier
- Department of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.,Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis , St. Louis, Missouri 63110, United States
| | - Wayland W L Cheng
- Department of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States
| | - Lucie Bergdoll
- Department of Physiology, David Geffen School of Medicine at UCLA, University of California at Los Angeles , Los Angeles, California 90095, United States
| | - Zi-Wei Chen
- Department of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.,The Taylor Family Institute for Innovative Psychiatric Research, Washington University in St. Louis , St. Louis, Missouri 63110, United States
| | - Jeff Abramson
- Department of Physiology, David Geffen School of Medicine at UCLA, University of California at Los Angeles , Los Angeles, California 90095, United States.,The Institute for Stem Cell Biology and Regenerative Medicine (instem), National Centre for Biological Sciences-Tata Institute of Fundamental Research , Bangalore 560065, Karnataka India
| | - Kathiresan Krishnan
- Department of Developmental Biology, Washington University in St. Louis , St. Louis, Missouri 63110, United States
| | - Mingxing Qian
- Department of Developmental Biology, Washington University in St. Louis , St. Louis, Missouri 63110, United States
| | - Douglas F Covey
- Department of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.,The Taylor Family Institute for Innovative Psychiatric Research, Washington University in St. Louis , St. Louis, Missouri 63110, United States.,Department of Developmental Biology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.,Department of Psychiatry, Washington University in St. Louis , St. Louis, Missouri 63110, United States
| | - James W Janetka
- Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis , St. Louis, Missouri 63110, United States
| | - Alex S Evers
- Department of Anesthesiology, Washington University in St. Louis , St. Louis, Missouri 63110, United States.,The Taylor Family Institute for Innovative Psychiatric Research, Washington University in St. Louis , St. Louis, Missouri 63110, United States.,Department of Developmental Biology, Washington University in St. Louis , St. Louis, Missouri 63110, United States
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50
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Prasad TSK, Mohanty AK, Kumar M, Sreenivasamurthy SK, Dey G, Nirujogi RS, Pinto SM, Madugundu AK, Patil AH, Advani J, Manda SS, Gupta MK, Dwivedi SB, Kelkar DS, Hall B, Jiang X, Peery A, Rajagopalan P, Yelamanchi SD, Solanki HS, Raja R, Sathe GJ, Chavan S, Verma R, Patel KM, Jain AP, Syed N, Datta KK, Khan AA, Dammalli M, Jayaram S, Radhakrishnan A, Mitchell CJ, Na CH, Kumar N, Sinnis P, Sharakhov IV, Wang C, Gowda H, Tu Z, Kumar A, Pandey A. Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes. Genome Res 2016; 27:133-144. [PMID: 28003436 PMCID: PMC5204337 DOI: 10.1101/gr.201368.115] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 11/10/2016] [Indexed: 01/05/2023]
Abstract
Complementing genome sequence with deep transcriptome and proteome data could enable more accurate assembly and annotation of newly sequenced genomes. Here, we provide a proof-of-concept of an integrated approach for analysis of the genome and proteome of Anopheles stephensi, which is one of the most important vectors of the malaria parasite. To achieve broad coverage of genes, we carried out transcriptome sequencing and deep proteome profiling of multiple anatomically distinct sites. Based on transcriptomic data alone, we identified and corrected 535 events of incomplete genome assembly involving 1196 scaffolds and 868 protein-coding gene models. This proteogenomic approach enabled us to add 365 genes that were missed during genome annotation and identify 917 gene correction events through discovery of 151 novel exons, 297 protein extensions, 231 exon extensions, 192 novel protein start sites, 19 novel translational frames, 28 events of joining of exons, and 76 events of joining of adjacent genes as a single gene. Incorporation of proteomic evidence allowed us to change the designation of more than 87 predicted “noncoding RNAs” to conventional mRNAs coded by protein-coding genes. Importantly, extension of the newly corrected genome assemblies and gene models to 15 other newly assembled Anopheline genomes led to the discovery of a large number of apparent discrepancies in assembly and annotation of these genomes. Our data provide a framework for how future genome sequencing efforts should incorporate transcriptomic and proteomic analysis in combination with simultaneous manual curation to achieve near complete assembly and accurate annotation of genomes.
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Affiliation(s)
- T S Keshava Prasad
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University, Mangalore 575018, India.,NIMHANS-IOB Proteomics and Bioinformatics Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka 560029, India
| | - Ajeet Kumar Mohanty
- National Institute of Malaria Research, Field Station, Goa 403001, India.,Department of Zoology, Goa University, Taleigao Plateau, Goa 403206, India
| | - Manish Kumar
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India
| | - Sreelakshmi K Sreenivasamurthy
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India
| | - Gourav Dey
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India
| | - Raja Sekhar Nirujogi
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Centre for Bioinformatics, Pondicherry University, Puducherry 605014, India
| | - Sneha M Pinto
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University, Mangalore 575018, India
| | - Anil K Madugundu
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Centre for Bioinformatics, Pondicherry University, Puducherry 605014, India
| | - Arun H Patil
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Jayshree Advani
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India
| | - Srikanth S Manda
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Centre for Bioinformatics, Pondicherry University, Puducherry 605014, India
| | - Manoj Kumar Gupta
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India
| | - Sutopa B Dwivedi
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India
| | - Dhanashree S Kelkar
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India
| | - Brantley Hall
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - Xiaofang Jiang
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - Ashley Peery
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - Pavithra Rajagopalan
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Soujanya D Yelamanchi
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Hitendra S Solanki
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Remya Raja
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India
| | - Gajanan J Sathe
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India
| | - Sandip Chavan
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India
| | - Renu Verma
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Krishna M Patel
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India
| | - Ankit P Jain
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Nazia Syed
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Department of Biochemistry and Molecular Biology, Pondicherry University, Puducherry 605014, India
| | - Keshava K Datta
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Aafaque Ahmed Khan
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,School of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Manjunath Dammalli
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Department of Biotechnology, Siddaganga Institute of Technology, Tumkur, Karnataka 572103, India
| | - Savita Jayaram
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Manipal University, Madhav Nagar, Manipal, Karnataka 576104, India
| | - Aneesha Radhakrishnan
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,Department of Biochemistry and Molecular Biology, Pondicherry University, Puducherry 605014, India
| | - Christopher J Mitchell
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
| | - Chan-Hyun Na
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland 21205, USA
| | - Nirbhay Kumar
- Department of Tropical Medicine, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana 70112, USA
| | - Photini Sinnis
- Malaria Research Institute, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Igor V Sharakhov
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - Charles Wang
- Center for Genomics and Department of Basic Sciences, School of Medicine, Loma Linda University, Loma Linda, California 92350, USA
| | - Harsha Gowda
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University, Mangalore 575018, India
| | - Zhijian Tu
- Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA
| | - Ashwani Kumar
- National Institute of Malaria Research, Field Station, Goa 403001, India
| | - Akhilesh Pandey
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka 560066, India.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.,Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.,Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.,Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
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