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Moure CJ, Vara B, Cheng MM, Sondey C, Muise E, Park E, Vela Ramirez JE, Su D, D'Souza S, Yan Q, Yeung CS, Zhang M, Mansueto MS, Linn D, Buchanan M, Foti R, DiMauro E, Long B, Simov V, Barry ER. Activation of Hepatocyte Growth Factor/MET Signaling as a Mechanism of Acquired Resistance to a Novel YAP1/TEAD Small Molecule Inhibitor. Mol Cancer Ther 2024:OF1-OF14. [PMID: 38691847 DOI: 10.1158/1535-7163.mct-23-0538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 12/21/2023] [Accepted: 03/04/2024] [Indexed: 05/03/2024]
Abstract
Many tumor types harbor alterations in the Hippo pathway, including mesothelioma, where a high percentage of cases are considered YAP1/TEAD dependent. Identification of autopalmitoylation sites in the hydrophobic palmitate pocket of TEADs, which may be necessary for YAP1 protein interactions, has enabled modern drug discovery platforms to generate compounds that allosterically inhibit YAP1/TEAD complex formation and transcriptional activity. We report the discovery and characterization of a novel YAP1/TEAD inhibitor MRK-A from an aryl ether chemical series demonstrating potent and specific inhibition of YAP1/TEAD activity. In vivo, MRK-A showed a favorable tolerability profile in mice and demonstrated pharmacokinetics suitable for twice daily oral dosing in preclinical efficacy studies. Importantly, monotherapeutic targeting of YAP1/TEAD in preclinical models generated regressions in a mesothelioma CDX model; however, rapid resistance to therapy was observed. RNA-sequencing of resistant tumors revealed mRNA expression changes correlated with the resistance state and a marked increase of hepatocyte growth factor (HGF) expression. In vitro, exogenous HGF was able to fully rescue cytostasis induced by MRK-A in mesothelioma cell lines. In addition, co-administration of small molecule inhibitors of the MET receptor tyrosine kinase suppressed the resistance generating effect of HGF on MRK-A induced growth inhibition. In this work, we report the structure and characterization of MRK-A, demonstrating potent and specific inhibition of YAP1/TAZ-TEAD-mediated transcriptional responses, with potential implications for treating malignancies driven by altered Hippo signaling, including factors resulting in acquired drug resistance.
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Affiliation(s)
- Casey J Moure
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Brandon Vara
- Department of Discovery Chemistry, Merck & Co., Inc., Rahway, New Jersey
| | - Mangeng M Cheng
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Christopher Sondey
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Eric Muise
- Department of Data and Genome Sciences, Merck & Co., Inc., Rahway, New Jersey
| | - Eunsil Park
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | | | - Dan Su
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Shanti D'Souza
- Department of Discovery Oncology, Merck & Co., Inc., Rahway, New Jersey
| | - Qingyun Yan
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Charles S Yeung
- Department of Discovery Chemistry, Merck & Co., Inc., Rahway, New Jersey
| | - Minjia Zhang
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - My Sam Mansueto
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Doug Linn
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Mark Buchanan
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Robert Foti
- Department of PPDM, Merck & Co., Inc., Rahway, New Jersey
| | - Erin DiMauro
- Department of Discovery Chemistry, Merck & Co., Inc., Rahway, New Jersey
| | - Brian Long
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
| | - Vladimir Simov
- Department of Discovery Chemistry, Merck & Co., Inc., Rahway, New Jersey
| | - Evan R Barry
- Department of Quantitative Biosciences, Merck & Co., Inc., Rahway, New Jersey
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Braun M, Lange C, Schatz P, Long B, Stanta J, Gorovits B, Tarcsa E, Jawa V, Yang TY, Lembke W, Miller N, McBlane F, Christodoulou L, Yuill D, Milton M. Preexisting antibody assays for gene therapy: Considerations on patient selection cutoffs and companion diagnostic requirements. Mol Ther Methods Clin Dev 2024; 32:101217. [PMID: 38496304 PMCID: PMC10944107 DOI: 10.1016/j.omtm.2024.101217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Recombinant adeno-associated virus (AAV) vectors are the leading delivery vehicle used for in vivo gene therapies. Anti-AAV antibodies (AAV Abs) can interact with the viral capsid component of an AAV-based gene therapy (GT). Therefore, patients with preexisting AAV Abs (seropositive patients) are often excluded from GT trials to prevent treatment of patients who are unlikely to benefit1 or may have a higher risk for adverse events outweighing treatment benefits. On the contrary, unnecessary exclusion of patients with high unmet medical need should be avoided. Instead, a risk-benefit assessment that weighs the potential risks due to seropositivity vs. severity of disease and available treatment options, should drive the decision if patient selection is required. Assays for patient selection must be validated according to their intended use following national regulations/standards for diagnostic assays in appropriate laboratories. In this review, we summarize the current process of patient selection, including assay cutoff criteria and related assay validation approaches. We further provide considerations on regulatory requirements for the development of in vitro diagnostic tests supporting market authorization of a corresponding GT.
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Affiliation(s)
- Manuela Braun
- Bayer AG, Pharmaceuticals R&D, 13342 Berlin, Germany
| | - Claudia Lange
- Bayer AG, Pharmaceuticals R&D, 13342 Berlin, Germany
| | | | - Brian Long
- BioMarin Pharmaceutical Inc, Novato, CA, USA
| | | | - Boris Gorovits
- Sana Biotechnology, 100 Technology Square, Cambridge, MA 02139, USA
| | - Edit Tarcsa
- Abbvie Bioresearch Center, Worcester, MA 01605, USA
| | - Vibha Jawa
- Bristol Myers Squibb, Lawrence Township, NJ 08648, USA
| | | | - Wibke Lembke
- Integrated Biologix GmbH, 4051 Basel, Switzerland
| | - Nicole Miller
- Ultragenyx Pharmaceutical Inc, Novato, CA 94949, USA
| | | | | | - Daisy Yuill
- AstraZeneca, 1 Francis Crick Avenue, CB2 0AA Cambridge, UK
| | - Mark Milton
- Lake Boon Pharmaceutical Consulting, LLC, Hudson, MA 01749, USA
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3
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Griffith SP, Wesselingh R, D'Aprano F, Seery N, Rushen T, Kyndt C, Long B, Seneviratne U, Kalincik T, Buzzard K, Butzkueven H, O'Brien TJ, Alpitsis R, Malpas CB, Monif M. Language impairments in seropositive and seronegative autoimmune encephalitis. Neurol Sci 2024:10.1007/s10072-024-07382-2. [PMID: 38358549 DOI: 10.1007/s10072-024-07382-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 01/30/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND AND OBJECTIVE Autoimmune encephalitis (AE) is a rare neuroinflammatory disease affecting the central nervous system. To examine language functions in patients with different subsets of AE consisting of seropositive and seronegative groups. METHODS Fifty-two patients were recruited from neurology departments in Melbourne, Australia, who met clinical criteria for possible AE. Language tests include the Naming Test from the Sydney Language Battery (SydBat), the semantic fluency trial from the Controlled Oral Word Association Test (COWAT), and the Vocabulary and Similarities subtests of the Weschler Abbreviated Scale of Intelligence-Second Edition. The results were standardised with normative data. RESULTS The mean age of our cohort was 52.5 years old, with the average time from hospital admission to recruitment being 38.41 months. At an aggregate level, none of the mean language test z-scores were below normative data. At the patient level, impairment rates were 18.37% for COWAT (animals), 28.57% for SydBat (naming), 4.65% for Similarities, and 4.55% for Vocabulary. Chi-squared goodness of fit tests indicated that observed performances were significantly below expected performances for the SydBat (naming) test (p < 0.0001) and COWAT (animals) (p = 0.004). DISCUSSION While, on average, language functions were within normal limits in patients with AE, but a subgroup exhibited lower performance in semantic fluency and visual confrontation naming, with impairment rates below expected norms. To advance understanding of language in chronic AE patients, exploring the impact of seizure burden, antiseizure medication use, and the relationship of language functions with other cognitive functions is crucial.
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Affiliation(s)
- Sarah P Griffith
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Robb Wesselingh
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Fiore D'Aprano
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Nabil Seery
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Tiffany Rushen
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Chris Kyndt
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, VIC, 3050, Australia
- Department of Neurosciences, Eastern Health Clinical School, Monash University, Box Hill Hospital, Melbourne, VIC, Australia
| | - Brian Long
- Monash Medical Centre, Neuropsychology Unit, Monash Health, 246 Clayton Road, Clayton, VIC, 3168, Australia
| | - Udaya Seneviratne
- Department of Neurosciences, Monash Health, Clayton Road, Clayton, VIC, 3168, Australia
| | - Tomas Kalincik
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, VIC, 3050, Australia
- CORe, Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | - Katherine Buzzard
- Department of Neurosciences, Eastern Health Clinical School, Monash University, Box Hill Hospital, Melbourne, VIC, Australia
| | - Helmut Butzkueven
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Terence J O'Brien
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Rubina Alpitsis
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Charles B Malpas
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, VIC, 3050, Australia
- CORe, Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | - Mastura Monif
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, VIC, 3050, Australia.
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Griffith SP, Wesselingh R, Seery N, Rushen T, Kyndt C, Long B, Seneviratne U, Buzzard K, Butzkueven H, O'Brien TJ, Alpitsis R, Malpas CB, Monif M. Characterizing cognitive function in patients with autoimmune encephalitis: an Australian prospective study. J Neurol 2024; 271:310-324. [PMID: 37709946 PMCID: PMC10770222 DOI: 10.1007/s00415-023-11967-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/21/2023] [Accepted: 08/24/2023] [Indexed: 09/16/2023]
Abstract
OBJECTIVE This study uses the Wechsler intelligence and memory scales to characterize the cognitive function of patients with autoimmune encephalitis (AE) in the chronic stage of the disease. AE is a group of neuroinflammatory disorders, and cognitive impairment is a significant source of chronic morbidity in these patients. METHODS Fifty patients with an average disease duration of 3.2 years after diagnosis were prospectively recruited from four hospitals. They underwent a comprehensive cognitive examination using the Wechsler Abbreviated Scale of Intelligence (WASI-II), Wechsler Adult Intelligence Scale (WAIS-IV) and Wechsler Memory Scale (WMS-IV). Summary statistics were computed, and single-sample and independent-samples t tests were used to compare the cohort to normative data. RESULTS The results revealed significantly reduced performances in perceptual reasoning, processing speed, and working memory among AE patients. Seropositive AE patients exhibited below-norm processing speed, while the seronegative group showed reduced working memory and processing speed. Delayed memory performance was significantly below expectations only in seronegative patients. Pattern analysis indicated that intact cognition was the most observed outcome after AE, but significant heterogeneity was observed among the impaired patients. CONCLUSIONS The study identified deficits in perceptual reasoning, processing speed, and working memory among chronic AE patients. Pattern analysis highlighted positive long-term cognitive outcomes for many but varied outcomes for those with ongoing difficulties. Although severely cognitively impaired patients were not included, the findings apply to AE cohorts who attend outpatient clinical neuropsychology consultations emphasizing the need for thorough cognitive assessment. The results suggest a need for further research targeting other cognitive domains, including executive functions.
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Affiliation(s)
- Sarah P Griffith
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Robb Wesselingh
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Nabil Seery
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Tiffany Rushen
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Chris Kyndt
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, VIC, 3050, Australia
- Department of Neurosciences, Eastern Health Clinical School, Box Hill Hospital, Monash University, Melbourne, VIC, Australia
| | - Brian Long
- Neuropsychology Unit, Monash Medical Centre, Monash Health, 246 Clayton Road, Clayton, VIC, 3168, Australia
| | - Udaya Seneviratne
- Department of Neurosciences, Monash Health, Clayton Road, Clayton, VIC, 3168, Australia
| | - Katherine Buzzard
- Department of Neurosciences, Eastern Health Clinical School, Box Hill Hospital, Monash University, Melbourne, VIC, Australia
| | - Helmut Butzkueven
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Terence J O'Brien
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Rubina Alpitsis
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Charles B Malpas
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, VIC, 3050, Australia
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, 3052, Australia
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, 3052, Australia
| | - Mastura Monif
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
- Department of Neurology, Alfred Health, Level 6, Alfred Centre, 99 Commercial Road, Melbourne, VIC, 3004, Australia.
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, VIC, 3050, Australia.
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5
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Humphrey S, Pike KE, Long B, Ma H, Bourke R, Byrne D, Wright B, Wong D. What does cognitive screening reveal about early cognitive performance following endovascular clot retrieval and intravenous thrombolysis in acute ischaemic stroke? BRAIN IMPAIR 2024; 25:IB23066. [PMID: 38566290 DOI: 10.1071/ib23066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 12/04/2023] [Indexed: 04/04/2024]
Abstract
Background Little is known regarding cognitive outcomes following treatment with endovascular clot retrieval (ECR) and intravenous tissue plasminogen activator (t-PA). We aimed to determine if there were any differences on a measure of cognitive screening between patients treated with ECR, t-PA, and those who were managed conservatively. Methods The medical records of ischaemic stroke patients admitted to Monash Medical Centre between January 2019 and December 2019 were retrospectively reviewed. Information extracted from medical records included age, sex, National Institutes of Health Stroke Scale at presentation, location of occlusion, treatment type, medical history, and cognitive screening performance measured by the Montreal Cognitive Assessment (MoCA). Results Eighty-two patients met the inclusion criteria (mean age = 66.5 ± 13.9; 49 male, 33 female). Patients treated with ECR performed significantly better on the MoCA (n = 36, 24.1 ± 4.3) compared to those who were managed conservatively (n = 26, 20.7 ± 5.5). Performance for patients treated with t-PA (n = 20, 23.9 ± 3.5) fell between the ECR and conservative management groups, but they did not significantly differ from either. Conclusion Our retrospective chart review found that ischaemic stroke patients treated with ECR appear to perform better on cognitive screening compared to patients who are managed conservatively. We also found that patients treated with ECR and t-PA appear to have similar cognitive screening performances in the acute stages following ischaemic stroke, although this finding is likely to have been impacted by group differences in stroke characteristics and may reflect the possibility that the ECR group performed better than expected based on their stroke severity.
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Affiliation(s)
- Sam Humphrey
- Department of Psychology, Counselling & Therapy, School of Psychology & Public Health, La Trobe University, Melbourne, Victoria, Australia; and Neuropsychology Unit, Monash Medical Centre, Melbourne, Victoria, Australia
| | - Kerryn E Pike
- Department of Psychology, Counselling & Therapy, School of Psychology & Public Health, La Trobe University, Melbourne, Victoria, Australia; and John Richards Centre for Rural Ageing Research, La Trobe University, Wodonga, Victoria, Australia; and School of Applied Psychology, Griffith Centre for Mental Health & Menzies Health Institute Queensland, Gold Coast, Queensland, Australia
| | - Brian Long
- Neuropsychology Unit, Monash Medical Centre, Melbourne, Victoria, Australia; and Neurosciences Unit, North Metropolitan Health Service, Perth, Western Australia, Australia
| | - Henry Ma
- Department of Neurology, Monash Medical Centre, Melbourne, Victoria, Australia; and Department of Medicine, School of Clinical Sciences, Monash University, Melbourne, Victoria, Australia
| | - Robert Bourke
- Neuropsychology Unit, Monash Medical Centre, Melbourne, Victoria, Australia
| | - Danielle Byrne
- Department of Occupational Therapy, Monash Medical Centre, Melbourne, Victoria, Australia
| | - Bradley Wright
- Department of Psychology, Counselling & Therapy, School of Psychology & Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Dana Wong
- Department of Psychology, Counselling & Therapy, School of Psychology & Public Health, La Trobe University, Melbourne, Victoria, Australia
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6
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Yao Z, van Velthoven CTJ, Kunst M, Zhang M, McMillen D, Lee C, Jung W, Goldy J, Abdelhak A, Aitken M, Baker K, Baker P, Barkan E, Bertagnolli D, Bhandiwad A, Bielstein C, Bishwakarma P, Campos J, Carey D, Casper T, Chakka AB, Chakrabarty R, Chavan S, Chen M, Clark M, Close J, Crichton K, Daniel S, DiValentin P, Dolbeare T, Ellingwood L, Fiabane E, Fliss T, Gee J, Gerstenberger J, Glandon A, Gloe J, Gould J, Gray J, Guilford N, Guzman J, Hirschstein D, Ho W, Hooper M, Huang M, Hupp M, Jin K, Kroll M, Lathia K, Leon A, Li S, Long B, Madigan Z, Malloy J, Malone J, Maltzer Z, Martin N, McCue R, McGinty R, Mei N, Melchor J, Meyerdierks E, Mollenkopf T, Moonsman S, Nguyen TN, Otto S, Pham T, Rimorin C, Ruiz A, Sanchez R, Sawyer L, Shapovalova N, Shepard N, Slaughterbeck C, Sulc J, Tieu M, Torkelson A, Tung H, Valera Cuevas N, Vance S, Wadhwani K, Ward K, Levi B, Farrell C, Young R, Staats B, Wang MQM, Thompson CL, Mufti S, Pagan CM, Kruse L, Dee N, Sunkin SM, Esposito L, Hawrylycz MJ, Waters J, Ng L, Smith K, Tasic B, Zhuang X, Zeng H. A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain. Nature 2023; 624:317-332. [PMID: 38092916 PMCID: PMC10719114 DOI: 10.1038/s41586-023-06812-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 10/31/2023] [Indexed: 12/17/2023]
Abstract
The mammalian brain consists of millions to billions of cells that are organized into many cell types with specific spatial distribution patterns and structural and functional properties1-3. Here we report a comprehensive and high-resolution transcriptomic and spatial cell-type atlas for the whole adult mouse brain. The cell-type atlas was created by combining a single-cell RNA-sequencing (scRNA-seq) dataset of around 7 million cells profiled (approximately 4.0 million cells passing quality control), and a spatial transcriptomic dataset of approximately 4.3 million cells using multiplexed error-robust fluorescence in situ hybridization (MERFISH). The atlas is hierarchically organized into 4 nested levels of classification: 34 classes, 338 subclasses, 1,201 supertypes and 5,322 clusters. We present an online platform, Allen Brain Cell Atlas, to visualize the mouse whole-brain cell-type atlas along with the single-cell RNA-sequencing and MERFISH datasets. We systematically analysed the neuronal and non-neuronal cell types across the brain and identified a high degree of correspondence between transcriptomic identity and spatial specificity for each cell type. The results reveal unique features of cell-type organization in different brain regions-in particular, a dichotomy between the dorsal and ventral parts of the brain. The dorsal part contains relatively fewer yet highly divergent neuronal types, whereas the ventral part contains more numerous neuronal types that are more closely related to each other. Our study also uncovered extraordinary diversity and heterogeneity in neurotransmitter and neuropeptide expression and co-expression patterns in different cell types. Finally, we found that transcription factors are major determinants of cell-type classification and identified a combinatorial transcription factor code that defines cell types across all parts of the brain. The whole mouse brain transcriptomic and spatial cell-type atlas establishes a benchmark reference atlas and a foundational resource for integrative investigations of cellular and circuit function, development and evolution of the mammalian brain.
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Affiliation(s)
- Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA.
| | | | | | - Meng Zhang
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA
| | | | - Changkyu Lee
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Won Jung
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Pamela Baker
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Eliza Barkan
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | | | - Daniel Carey
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Min Chen
- University of Pennsylvania, Philadelphia, PA, USA
| | | | - Jennie Close
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Scott Daniel
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Tim Dolbeare
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - James Gee
- University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Jessica Gloe
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - James Gray
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Windy Ho
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Mike Huang
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Madie Hupp
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Kelly Jin
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Kanan Lathia
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Arielle Leon
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Su Li
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Zach Madigan
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Zoe Maltzer
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Naomi Martin
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Rachel McCue
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Ryan McGinty
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nicholas Mei
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jose Melchor
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Sven Otto
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Lane Sawyer
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Noah Shepard
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Josef Sulc
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Herman Tung
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Shane Vance
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Katelyn Ward
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Boaz Levi
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Rob Young
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Brian Staats
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Shoaib Mufti
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Lauren Kruse
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Jack Waters
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Xiaowei Zhuang
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA.
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7
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Jorstad NL, Close J, Johansen N, Yanny AM, Barkan ER, Travaglini KJ, Bertagnolli D, Campos J, Casper T, Crichton K, Dee N, Ding SL, Gelfand E, Goldy J, Hirschstein D, Kiick K, Kroll M, Kunst M, Lathia K, Long B, Martin N, McMillen D, Pham T, Rimorin C, Ruiz A, Shapovalova N, Shehata S, Siletti K, Somasundaram S, Sulc J, Tieu M, Torkelson A, Tung H, Callaway EM, Hof PR, Keene CD, Levi BP, Linnarsson S, Mitra PP, Smith K, Hodge RD, Bakken TE, Lein ES. Transcriptomic cytoarchitecture reveals principles of human neocortex organization. Science 2023; 382:eadf6812. [PMID: 37824655 DOI: 10.1126/science.adf6812] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 09/08/2023] [Indexed: 10/14/2023]
Abstract
Variation in cytoarchitecture is the basis for the histological definition of cortical areas. We used single cell transcriptomics and performed cellular characterization of the human cortex to better understand cortical areal specialization. Single-nucleus RNA-sequencing of 8 areas spanning cortical structural variation showed a highly consistent cellular makeup for 24 cell subclasses. However, proportions of excitatory neuron subclasses varied substantially, likely reflecting differences in connectivity across primary sensorimotor and association cortices. Laminar organization of astrocytes and oligodendrocytes also differed across areas. Primary visual cortex showed characteristic organization with major changes in the excitatory to inhibitory neuron ratio, expansion of layer 4 excitatory neurons, and specialized inhibitory neurons. These results lay the groundwork for a refined cellular and molecular characterization of human cortical cytoarchitecture and areal specialization.
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Affiliation(s)
| | - Jennie Close
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | | | - Eliza R Barkan
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | | | - Jazmin Campos
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Tamara Casper
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Song-Lin Ding
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Emily Gelfand
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Katelyn Kiick
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Matthew Kroll
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Michael Kunst
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Kanan Lathia
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Brian Long
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Naomi Martin
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | | | | | - Augustin Ruiz
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Soraya Shehata
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Kimberly Siletti
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | | | - Josef Sulc
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Amy Torkelson
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Herman Tung
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Edward M Callaway
- Systems Neurobiology Laboratories, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA
| | - Patrick R Hof
- Nash Family Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Boaz P Levi
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Sten Linnarsson
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Partha P Mitra
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY 11724, USA
| | - Kimberly Smith
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | | | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA 98109, USA
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8
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Jorstad NL, Song JH, Exposito-Alonso D, Suresh H, Castro-Pacheco N, Krienen FM, Yanny AM, Close J, Gelfand E, Long B, Seeman SC, Travaglini KJ, Basu S, Beaudin M, Bertagnolli D, Crow M, Ding SL, Eggermont J, Glandon A, Goldy J, Kiick K, Kroes T, McMillen D, Pham T, Rimorin C, Siletti K, Somasundaram S, Tieu M, Torkelson A, Feng G, Hopkins WD, Höllt T, Keene CD, Linnarsson S, McCarroll SA, Lelieveldt BP, Sherwood CC, Smith K, Walsh CA, Dobin A, Gillis J, Lein ES, Hodge RD, Bakken TE. Comparative transcriptomics reveals human-specific cortical features. Science 2023; 382:eade9516. [PMID: 37824638 PMCID: PMC10659116 DOI: 10.1126/science.ade9516] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 09/13/2023] [Indexed: 10/14/2023]
Abstract
The cognitive abilities of humans are distinctive among primates, but their molecular and cellular substrates are poorly understood. We used comparative single-nucleus transcriptomics to analyze samples of the middle temporal gyrus (MTG) from adult humans, chimpanzees, gorillas, rhesus macaques, and common marmosets to understand human-specific features of the neocortex. Human, chimpanzee, and gorilla MTG showed highly similar cell-type composition and laminar organization as well as a large shift in proportions of deep-layer intratelencephalic-projecting neurons compared with macaque and marmoset MTG. Microglia, astrocytes, and oligodendrocytes had more-divergent expression across species compared with neurons or oligodendrocyte precursor cells, and neuronal expression diverged more rapidly on the human lineage. Only a few hundred genes showed human-specific patterning, suggesting that relatively few cellular and molecular changes distinctively define adult human cortical structure.
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Affiliation(s)
| | - Janet H.T. Song
- Allen Discovery Center for Human Brain Evolution, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
| | - David Exposito-Alonso
- Allen Discovery Center for Human Brain Evolution, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Hamsini Suresh
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | | | - Fenna M. Krienen
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | | | - Jennie Close
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | - Emily Gelfand
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | - Brian Long
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | | | | | - Soumyadeep Basu
- LKEB, Dept of Radiology, Leiden University Medical Center; Leiden, The Netherlands
- Computer Graphics and Visualization Group, Delft University of Technology, Delft, Netherlands
| | - Marc Beaudin
- Allen Discovery Center for Human Brain Evolution, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
| | | | - Megan Crow
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Song-Lin Ding
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | - Jeroen Eggermont
- LKEB, Dept of Radiology, Leiden University Medical Center; Leiden, The Netherlands
| | | | - Jeff Goldy
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | - Katelyn Kiick
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | - Thomas Kroes
- LKEB, Dept of Radiology, Leiden University Medical Center; Leiden, The Netherlands
| | | | | | | | - Kimberly Siletti
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | | | - Michael Tieu
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | - Amy Torkelson
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | - Guoping Feng
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - William D. Hopkins
- Keeling Center for Comparative Medicine and Research, University of Texas, MD Anderson Cancer Center, Houston, TX 78602, USA
| | - Thomas Höllt
- Computer Graphics and Visualization Group, Delft University of Technology, Delft, Netherlands
| | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 981915, USA
| | - Sten Linnarsson
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Steven A. McCarroll
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Boudewijn P. Lelieveldt
- LKEB, Dept of Radiology, Leiden University Medical Center; Leiden, The Netherlands
- Pattern Recognition and Bioinformatics group, Delft University of Technology, Delft, Netherlands
| | - Chet C. Sherwood
- Department of Anthropology, The George Washington University, Washington, DC 20037, USA
| | - Kimberly Smith
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
| | - Christopher A. Walsh
- Allen Discovery Center for Human Brain Evolution, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA 02115, USA
- Department of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Alexander Dobin
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Jesse Gillis
- Department of Physiology, University of Toronto, Toronto, ON, Canada
| | - Ed S. Lein
- Allen Institute for Brain Science; Seattle, WA, 98109, USA
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9
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Chartrand T, Dalley R, Close J, Goriounova NA, Lee BR, Mann R, Miller JA, Molnar G, Mukora A, Alfiler L, Baker K, Bakken TE, Berg J, Bertagnolli D, Braun T, Brouner K, Casper T, Csajbok EA, Dee N, Egdorf T, Enstrom R, Galakhova AA, Gary A, Gelfand E, Goldy J, Hadley K, Heistek TS, Hill D, Jorstad N, Kim L, Kocsis AK, Kruse L, Kunst M, Leon G, Long B, Mallory M, McGraw M, McMillen D, Melief EJ, Mihut N, Ng L, Nyhus J, Oláh G, Ozsvár A, Omstead V, Peterfi Z, Pom A, Potekhina L, Rajanbabu R, Rozsa M, Ruiz A, Sandle J, Sunkin SM, Szots I, Tieu M, Toth M, Trinh J, Vargas S, Vumbaco D, Williams G, Wilson J, Yao Z, Barzo P, Cobbs C, Ellenbogen RG, Esposito L, Ferreira M, Gouwens NW, Grannan B, Gwinn RP, Hauptman JS, Jarsky T, Keene CD, Ko AL, Koch C, Ojemann JG, Patel A, Ruzevick J, Silbergeld DL, Smith K, Sorensen SA, Tasic B, Ting JT, Waters J, de Kock CPJ, Mansvelder HD, Tamas G, Zeng H, Kalmbach B, Lein ES. Morphoelectric and transcriptomic divergence of the layer 1 interneuron repertoire in human versus mouse neocortex. Science 2023; 382:eadf0805. [PMID: 37824667 DOI: 10.1126/science.adf0805] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 09/09/2023] [Indexed: 10/14/2023]
Abstract
Neocortical layer 1 (L1) is a site of convergence between pyramidal-neuron dendrites and feedback axons where local inhibitory signaling can profoundly shape cortical processing. Evolutionary expansion of human neocortex is marked by distinctive pyramidal neurons with extensive L1 branching, but whether L1 interneurons are similarly diverse is underexplored. Using Patch-seq recordings from human neurosurgical tissue, we identified four transcriptomic subclasses with mouse L1 homologs, along with distinct subtypes and types unmatched in mouse L1. Subclass and subtype comparisons showed stronger transcriptomic differences in human L1 and were correlated with strong morphoelectric variability along dimensions distinct from mouse L1 variability. Accompanied by greater layer thickness and other cytoarchitecture changes, these findings suggest that L1 has diverged in evolution, reflecting the demands of regulating the expanded human neocortical circuit.
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Affiliation(s)
| | | | - Jennie Close
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Natalia A Goriounova
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, Netherlands
| | - Brian R Lee
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Rusty Mann
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Gabor Molnar
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | - Alice Mukora
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Jim Berg
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Eva Adrienn Csajbok
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Tom Egdorf
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Anna A Galakhova
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, Netherlands
| | - Amanda Gary
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Tim S Heistek
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, Netherlands
| | - DiJon Hill
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nik Jorstad
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lisa Kim
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Agnes Katalin Kocsis
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | - Lauren Kruse
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Medea McGraw
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Erica J Melief
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Norbert Mihut
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | - Lindsay Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Gáspár Oláh
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | - Attila Ozsvár
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | | | - Zoltan Peterfi
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | - Alice Pom
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Marton Rozsa
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | | | - Joanna Sandle
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | | | - Ildiko Szots
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Martin Toth
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | | | - Sara Vargas
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Julia Wilson
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Pal Barzo
- Department of Neurosurgery, University of Szeged, Szeged, Hungary
| | | | | | | | - Manuel Ferreira
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | - Benjamin Grannan
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | - Jason S Hauptman
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Tim Jarsky
- Allen Institute for Brain Science, Seattle, WA, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Andrew L Ko
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Anoop Patel
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Jacob Ruzevick
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Daniel L Silbergeld
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | | | | | | | - Jonathan T Ting
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
- Washington National Primate Research Center, University of Washington, Seattle, WA, USA
| | - Jack Waters
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Christiaan P J de Kock
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, Netherlands
| | - Huib D Mansvelder
- Center for Neurogenomics and Cognitive Research, Vrije Universiteit, Amsterdam, Netherlands
| | - Gabor Tamas
- Research Group for Cortical Microcircuits of the Hungarian Academy of Science, University of Szeged, Szeged, Hungary
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Brian Kalmbach
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
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10
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Lee BR, Dalley R, Miller JA, Chartrand T, Close J, Mann R, Mukora A, Ng L, Alfiler L, Baker K, Bertagnolli D, Brouner K, Casper T, Csajbok E, Donadio N, Driessens SLW, Egdorf T, Enstrom R, Galakhova AA, Gary A, Gelfand E, Goldy J, Hadley K, Heistek TS, Hill D, Hou WH, Johansen N, Jorstad N, Kim L, Kocsis AK, Kruse L, Kunst M, León G, Long B, Mallory M, Maxwell M, McGraw M, McMillen D, Melief EJ, Molnar G, Mortrud MT, Newman D, Nyhus J, Opitz-Araya X, Ozsvár A, Pham T, Pom A, Potekhina L, Rajanbabu R, Ruiz A, Sunkin SM, Szöts I, Taskin N, Thyagarajan B, Tieu M, Trinh J, Vargas S, Vumbaco D, Waleboer F, Walling-Bell S, Weed N, Williams G, Wilson J, Yao S, Zhou T, Barzó P, Bakken T, Cobbs C, Dee N, Ellenbogen RG, Esposito L, Ferreira M, Gouwens NW, Grannan B, Gwinn RP, Hauptman JS, Hodge R, Jarsky T, Keene CD, Ko AL, Korshoej AR, Levi BP, Meier K, Ojemann JG, Patel A, Ruzevick J, Silbergeld DL, Smith K, Sørensen JC, Waters J, Zeng H, Berg J, Capogna M, Goriounova NA, Kalmbach B, de Kock CPJ, Mansvelder HD, Sorensen SA, Tamas G, Lein ES, Ting JT. Signature morphoelectric properties of diverse GABAergic interneurons in the human neocortex. Science 2023; 382:eadf6484. [PMID: 37824669 DOI: 10.1126/science.adf6484] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 09/08/2023] [Indexed: 10/14/2023]
Abstract
Human cortex transcriptomic studies have revealed a hierarchical organization of γ-aminobutyric acid-producing (GABAergic) neurons from subclasses to a high diversity of more granular types. Rapid GABAergic neuron viral genetic labeling plus Patch-seq (patch-clamp electrophysiology plus single-cell RNA sequencing) sampling in human brain slices was used to reliably target and analyze GABAergic neuron subclasses and individual transcriptomic types. This characterization elucidated transitions between PVALB and SST subclasses, revealed morphological heterogeneity within an abundant transcriptomic type, identified multiple spatially distinct types of the primate-specialized double bouquet cells (DBCs), and shed light on cellular differences between homologous mouse and human neocortical GABAergic neuron types. These results highlight the importance of multimodal phenotypic characterization for refinement of emerging transcriptomic cell type taxonomies and for understanding conserved and specialized cellular properties of human brain cell types.
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Affiliation(s)
- Brian R Lee
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Rachel Dalley
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Thomas Chartrand
- Allen Institute for Brain Science, Seattle, WA 98109, USA
- Allen Institute for Neural Dynamics, Seattle, WA 98109, USA
| | - Jennie Close
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Rusty Mann
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Alice Mukora
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Lindsay Ng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Lauren Alfiler
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | | | - Krissy Brouner
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Tamara Casper
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Eva Csajbok
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, 6726 Szeged, Hungary
| | | | - Stan L W Driessens
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, 1081 HV, Netherlands
| | - Tom Egdorf
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Rachel Enstrom
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Anna A Galakhova
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, 1081 HV, Netherlands
| | - Amanda Gary
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Emily Gelfand
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Kristen Hadley
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Tim S Heistek
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, 1081 HV, Netherlands
| | - Dijon Hill
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Wen-Hsien Hou
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
| | | | - Nik Jorstad
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Lisa Kim
- Allen Institute for Brain Science, Seattle, WA 98109, USA
- Allen Institute for Neural Dynamics, Seattle, WA 98109, USA
| | - Agnes Katalin Kocsis
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, 6726 Szeged, Hungary
| | - Lauren Kruse
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Michael Kunst
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Gabriela León
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Brian Long
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | | | - Medea McGraw
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Erica J Melief
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Gabor Molnar
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, 6726 Szeged, Hungary
| | | | - Dakota Newman
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Attila Ozsvár
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
| | | | - Alice Pom
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Ram Rajanbabu
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Augustin Ruiz
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Susan M Sunkin
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Ildikó Szöts
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, 6726 Szeged, Hungary
| | - Naz Taskin
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Jessica Trinh
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Sara Vargas
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - David Vumbaco
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Femke Waleboer
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, 1081 HV, Netherlands
| | | | - Natalie Weed
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Grace Williams
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Julia Wilson
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Shenqin Yao
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Thomas Zhou
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Pál Barzó
- Department of Neurosurgery, University of Szeged, 6725 Szeged, Hungary
| | - Trygve Bakken
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Charles Cobbs
- Swedish Neuroscience Institute, Seattle, WA 98122, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Richard G Ellenbogen
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Luke Esposito
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Manuel Ferreira
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | | | - Benjamin Grannan
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Ryder P Gwinn
- Swedish Neuroscience Institute, Seattle, WA 98122, USA
| | - Jason S Hauptman
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Rebecca Hodge
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Tim Jarsky
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Andrew L Ko
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | | | - Boaz P Levi
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Kaare Meier
- Department of Neurosurgery, Aarhus University Hospital, 8200 Aarhus, Denmark
- Department of Anesthesiology, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Anoop Patel
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Jacob Ruzevick
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Daniel L Silbergeld
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Kimberly Smith
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Jens Christian Sørensen
- Department of Neurosurgery, Aarhus University Hospital, 8200 Aarhus, Denmark
- Center for Experimental Neuroscience, Aarhus University Hospital, 8200 Aarhus, Denmark
| | - Jack Waters
- Allen Institute for Brain Science, Seattle, WA 98109, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Jim Berg
- Allen Institute for Brain Science, Seattle, WA 98109, USA
- Allen Institute for Neural Dynamics, Seattle, WA 98109, USA
| | - Marco Capogna
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
| | - Natalia A Goriounova
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, 1081 HV, Netherlands
| | - Brian Kalmbach
- Allen Institute for Brain Science, Seattle, WA 98109, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA
| | - Christiaan P J de Kock
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, 1081 HV, Netherlands
| | - Huib D Mansvelder
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Vrije Universiteit, Amsterdam, 1081 HV, Netherlands
| | | | - Gabor Tamas
- MTA-SZTE Research Group for Cortical Microcircuits, Department of Physiology, Anatomy, and Neuroscience, University of Szeged, 6726 Szeged, Hungary
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA 98109, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
| | - Jonathan T Ting
- Allen Institute for Brain Science, Seattle, WA 98109, USA
- Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA
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11
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Zhang Y, Miller JA, Park J, Lelieveldt BP, Long B, Abdelaal T, Aevermann BD, Biancalani T, Comiter C, Dzyubachyk O, Eggermont J, Langseth CM, Petukhov V, Scalia G, Vaishnav ED, Zhao Y, Lein ES, Scheuermann RH. Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain. Sci Rep 2023; 13:9567. [PMID: 37311768 DOI: 10.1038/s41598-023-36638-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 06/07/2023] [Indexed: 06/15/2023] Open
Abstract
With the advent of multiplex fluorescence in situ hybridization (FISH) and in situ RNA sequencing technologies, spatial transcriptomics analysis is advancing rapidly, providing spatial location and gene expression information about cells in tissue sections at single cell resolution. Cell type classification of these spatially-resolved cells can be inferred by matching the spatial transcriptomics data to reference atlases derived from single cell RNA-sequencing (scRNA-seq) in which cell types are defined by differences in their gene expression profiles. However, robust cell type matching of the spatially-resolved cells to reference scRNA-seq atlases is challenging due to the intrinsic differences in resolution between the spatial and scRNA-seq data. In this study, we systematically evaluated six computational algorithms for cell type matching across four image-based spatial transcriptomics experimental protocols (MERFISH, smFISH, BaristaSeq, and ExSeq) conducted on the same mouse primary visual cortex (VISp) brain region. We find that many cells are assigned as the same type by multiple cell type matching algorithms and are present in spatial patterns previously reported from scRNA-seq studies in VISp. Furthermore, by combining the results of individual matching strategies into consensus cell type assignments, we see even greater alignment with biological expectations. We present two ensemble meta-analysis strategies used in this study and share the consensus cell type matching results in the Cytosplore Viewer ( https://viewer.cytosplore.org ) for interactive visualization and data exploration. The consensus matching can also guide spatial data analysis using SSAM, allowing segmentation-free cell type assignment.
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Affiliation(s)
- Yun Zhang
- J. Craig Venter Institute, La Jolla, CA, USA
| | | | - Jeongbin Park
- School of Biomedical Convergence Engineering, Pusan National University, Busan, Korea
| | - Boudewijn P Lelieveldt
- LKEB, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition and Bioinformatics Group, Delft University of Technology, Delft, The Netherlands
| | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Tamim Abdelaal
- LKEB, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Pattern Recognition and Bioinformatics Group, Delft University of Technology, Delft, The Netherlands
| | - Brian D Aevermann
- J. Craig Venter Institute, La Jolla, CA, USA
- Chan Zuckerberg Initiative, Redwood City, CA, USA
| | - Tommaso Biancalani
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Genentech, South San Francisco, CA, USA
| | | | - Oleh Dzyubachyk
- LKEB, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeroen Eggermont
- LKEB, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Viktor Petukhov
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Gabriele Scalia
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Genentech, South San Francisco, CA, USA
| | | | - Yilin Zhao
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Richard H Scheuermann
- J. Craig Venter Institute, La Jolla, CA, USA.
- Department of Pathology, University of California, San Diego, CA, USA.
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, USA.
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12
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Kim MH, Radaelli C, Thomsen ER, Monet D, Chartrand T, Jorstad NL, Mahoney JT, Taormina MJ, Long B, Baker K, Bakken TE, Campagnola L, Casper T, Clark M, Dee N, D'Orazi F, Gamlin C, Kalmbach BE, Kebede S, Lee BR, Ng L, Trinh J, Cobbs C, Gwinn RP, Keene CD, Ko AL, Ojemann JG, Silbergeld DL, Sorensen SA, Berg J, Smith KA, Nicovich PR, Jarsky T, Zeng H, Ting JT, Levi BP, Lein E. Target cell-specific synaptic dynamics of excitatory to inhibitory neuron connections in supragranular layers of human neocortex. eLife 2023; 12:e81863. [PMID: 37249212 PMCID: PMC10332811 DOI: 10.7554/elife.81863] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 05/29/2023] [Indexed: 05/31/2023] Open
Abstract
Rodent studies have demonstrated that synaptic dynamics from excitatory to inhibitory neuron types are often dependent on the target cell type. However, these target cell-specific properties have not been well investigated in human cortex, where there are major technical challenges in reliably obtaining healthy tissue, conducting multiple patch-clamp recordings on inhibitory cell types, and identifying those cell types. Here, we take advantage of newly developed methods for human neurosurgical tissue analysis with multiple patch-clamp recordings, post-hoc fluorescent in situ hybridization (FISH), machine learning-based cell type classification and prospective GABAergic AAV-based labeling to investigate synaptic properties between pyramidal neurons and PVALB- vs. SST-positive interneurons. We find that there are robust molecular differences in synapse-associated genes between these neuron types, and that individual presynaptic pyramidal neurons evoke postsynaptic responses with heterogeneous synaptic dynamics in different postsynaptic cell types. Using molecular identification with FISH and classifiers based on transcriptomically identified PVALB neurons analyzed by Patch-seq, we find that PVALB neurons typically show depressing synaptic characteristics, whereas other interneuron types including SST-positive neurons show facilitating characteristics. Together, these data support the existence of target cell-specific synaptic properties in human cortex that are similar to rodent, thereby indicating evolutionary conservation of local circuit connectivity motifs from excitatory to inhibitory neurons and their synaptic dynamics.
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Affiliation(s)
- Mean-Hwan Kim
- Allen Institute for Brain ScienceSeattleUnited States
| | | | | | - Deja Monet
- Allen Institute for Brain ScienceSeattleUnited States
| | | | | | | | | | - Brian Long
- Allen Institute for Brain ScienceSeattleUnited States
| | | | | | | | - Tamara Casper
- Allen Institute for Brain ScienceSeattleUnited States
| | - Michael Clark
- Allen Institute for Brain ScienceSeattleUnited States
| | - Nick Dee
- Allen Institute for Brain ScienceSeattleUnited States
| | | | - Clare Gamlin
- Allen Institute for Brain ScienceSeattleUnited States
| | - Brian E Kalmbach
- Allen Institute for Brain ScienceSeattleUnited States
- Department of Physiology & Biophysics, School of Medicine, University of WashingtonSeattleUnited States
| | - Sara Kebede
- Allen Institute for Brain ScienceSeattleUnited States
| | - Brian R Lee
- Allen Institute for Brain ScienceSeattleUnited States
| | - Lindsay Ng
- Allen Institute for Brain ScienceSeattleUnited States
| | - Jessica Trinh
- Allen Institute for Brain ScienceSeattleUnited States
| | | | | | - C Dirk Keene
- Department of Laboratory Medicine & Pathology, School of Medicine, University of WashingtonSeattleUnited States
| | - Andrew L Ko
- Department of Neurological Surgery, School of Medicine, University of WashingtonSeattleUnited States
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, School of Medicine, University of WashingtonSeattleUnited States
| | - Daniel L Silbergeld
- Department of Neurological Surgery, School of Medicine, University of WashingtonSeattleUnited States
| | | | - Jim Berg
- Allen Institute for Brain ScienceSeattleUnited States
| | | | | | - Tim Jarsky
- Allen Institute for Brain ScienceSeattleUnited States
| | - Hongkui Zeng
- Allen Institute for Brain ScienceSeattleUnited States
| | - Jonathan T Ting
- Allen Institute for Brain ScienceSeattleUnited States
- Department of Physiology & Biophysics, School of Medicine, University of WashingtonSeattleUnited States
| | - Boaz P Levi
- Allen Institute for Brain ScienceSeattleUnited States
| | - Ed Lein
- Allen Institute for Brain ScienceSeattleUnited States
- Department of Laboratory Medicine & Pathology, School of Medicine, University of WashingtonSeattleUnited States
- Department of Neurological Surgery, School of Medicine, University of WashingtonSeattleUnited States
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13
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Gabitto MI, Travaglini KJ, Rachleff VM, Kaplan ES, Long B, Ariza J, Ding Y, Mahoney JT, Dee N, Goldy J, Melief EJ, Brouner K, Campos J, Carr AJ, Casper T, Chakrabarty R, Clark M, Compos J, Cool J, Valera Cuevas NJ, Dalley R, Darvas M, Ding SL, Dolbeare T, Mac Donald CL, Egdorf T, Esposito L, Ferrer R, Gala R, Gary A, Gloe J, Guilford N, Guzman J, Ho W, Jarksy T, Johansen N, Kalmbach BE, Keene LM, Khawand S, Kilgore M, Kirkland A, Kunst M, Lee BR, Malone J, Maltzer Z, Martin N, McCue R, McMillen D, Meyerdierks E, Meyers KP, Mollenkopf T, Montine M, Nolan AL, Nyhus J, Olsen PA, Pacleb M, Pham T, Pom CA, Postupna N, Ruiz A, Schantz AM, Sorensen SA, Staats B, Sullivan M, Sunkin SM, Thompson C, Tieu M, Ting J, Torkelson A, Tran T, Wang MQ, Waters J, Wilson AM, Haynor D, Gatto N, Jayadev S, Mufti S, Ng L, Mukherjee S, Crane PK, Latimer CS, Levi BP, Smith K, Close JL, Miller JA, Hodge RD, Larson EB, Grabowski TJ, Hawrylycz M, Keene CD, Lein ES. Integrated multimodal cell atlas of Alzheimer's disease. Res Sq 2023:rs.3.rs-2921860. [PMID: 37292694 PMCID: PMC10246227 DOI: 10.21203/rs.3.rs-2921860/v1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia in older adults. Neuropathological and imaging studies have demonstrated a progressive and stereotyped accumulation of protein aggregates, but the underlying molecular and cellular mechanisms driving AD progression and vulnerable cell populations affected by disease remain coarsely understood. The current study harnesses single cell and spatial genomics tools and knowledge from the BRAIN Initiative Cell Census Network to understand the impact of disease progression on middle temporal gyrus cell types. We used image-based quantitative neuropathology to place 84 donors spanning the spectrum of AD pathology along a continuous disease pseudoprogression score and multiomic technologies to profile single nuclei from each donor, mapping their transcriptomes, epigenomes, and spatial coordinates to a common cell type reference with unprecedented resolution. Temporal analysis of cell-type proportions indicated an early reduction of Somatostatin-expressing neuronal subtypes and a late decrease of supragranular intratelencephalic-projecting excitatory and Parvalbumin-expressing neurons, with increases in disease-associated microglial and astrocytic states. We found complex gene expression differences, ranging from global to cell type-specific effects. These effects showed different temporal patterns indicating diverse cellular perturbations as a function of disease progression. A subset of donors showed a particularly severe cellular and molecular phenotype, which correlated with steeper cognitive decline. We have created a freely available public resource to explore these data and to accelerate progress in AD research at SEA-AD.org.
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Affiliation(s)
| | | | - Victoria M. Rachleff
- Allen Institute for Brain Science, Seattle, WA, 98109
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | | | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jeanelle Ariza
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Yi Ding
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Erica J. Melief
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | | | - John Campos
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | | | - Tamara Casper
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Michael Clark
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jazmin Compos
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jonah Cool
- Chan Zuckerberg Initiative, Redwood City, CA 94063
| | | | - Rachel Dalley
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Martin Darvas
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Song-Lin Ding
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Tim Dolbeare
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Tom Egdorf
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Luke Esposito
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Rohan Gala
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Amanda Gary
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jessica Gloe
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | - Windy Ho
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Tim Jarksy
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | - Lisa M. Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Sarah Khawand
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Mitch Kilgore
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Amanda Kirkland
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Michael Kunst
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Brian R. Lee
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Zoe Maltzer
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Naomi Martin
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Rachel McCue
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | - Kelly P. Meyers
- Kaiser Permanente Washington Research Institute, Seattle, WA, 98101
| | | | - Mark Montine
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Amber L. Nolan
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Paul A. Olsen
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Maiya Pacleb
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Thanh Pham
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Nadia Postupna
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Augustin Ruiz
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Aimee M. Schantz
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | | | - Brian Staats
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Matt Sullivan
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Jonathan Ting
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Amy Torkelson
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Tracy Tran
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Jack Waters
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Angela M. Wilson
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - David Haynor
- Department of Radiology, University of Washington, Seattle, WA 98014
| | - Nicole Gatto
- Kaiser Permanente Washington Research Institute, Seattle, WA, 98101
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA 98104
| | - Shoaib Mufti
- Allen Institute for Brain Science, Seattle, WA, 98109
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | - Paul K. Crane
- Department of Medicine, University of Washington, Seattle, WA 98104
| | - Caitlin S. Latimer
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Boaz P. Levi
- Allen Institute for Brain Science, Seattle, WA, 98109
| | | | | | | | | | - Eric B. Larson
- Department of Medicine, University of Washington, Seattle, WA 98104
| | | | | | - C. Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98104
| | - Ed S. Lein
- Allen Institute for Brain Science, Seattle, WA, 98109
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14
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Gorovits B, Azadeh M, Buchlis G, Fiscella M, Harrison T, Havert M, Janetzki S, Jawa V, Long B, Mahnke YD, McDermott A, Milton M, Nelson R, Vettermann C, Wu B. Evaluation of Cellular Immune Response to Adeno-Associated Virus-Based Gene Therapy. AAPS J 2023; 25:47. [PMID: 37101079 PMCID: PMC10132926 DOI: 10.1208/s12248-023-00814-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/14/2023] [Indexed: 04/28/2023] Open
Abstract
The number of approved or investigational late phase viral vector gene therapies (GTx) has been rapidly growing. The adeno-associated virus vector (AAV) technology continues to be the most used GTx platform of choice. The presence of pre-existing anti-AAV immunity has been firmly established and is broadly viewed as a potential deterrent for successful AAV transduction with a possibility of negative impact on clinical efficacy and a connection to adverse events. Recommendations for the evaluation of humoral, including neutralizing and total antibody based, anti-AAV immune response have been presented elsewhere. This manuscript aims to cover considerations related to the assessment of anti-AAV cellular immune response, including review of correlations between humoral and cellular responses, potential value of cellular immunogenicity assessment, and commonly used analytical methodologies and parameters critical for monitoring assay performance. This manuscript was authored by a group of scientists involved in GTx development who represent several pharma and contract research organizations. It is our intent to provide recommendations and guidance to the industry sponsors, academic laboratories, and regulatory agencies working on AAV-based GTx viral vector modalities with the goal of achieving a more consistent approach to anti-AAV cellular immune response assessment.
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Affiliation(s)
| | - Mitra Azadeh
- Ultragenyx Pharmaceutical Inc, Novato, California, USA
| | - George Buchlis
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | - Mike Havert
- Gene Therapy Partners, San Diego, California, USA
| | | | - Vibha Jawa
- Bristol Myers Squibb Pharmaceutical, Princeton, New Jersey, USA
| | - Brian Long
- BioMarin Pharmaceutical Inc, Novato, California, USA
| | | | - Andrew McDermott
- Labcorp Early Development Laboratories Inc, Indianapolis, Indiana, USA
| | - Mark Milton
- Lake Boon Pharmaceutical Consulting LLC, Hudson, New York, USA
| | | | | | - Bonnie Wu
- Janssen Pharmaceuticals, Raritan, New Jersey, USA
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15
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Clark ML, Abimanyi-Ochom J, Le H, Long B, Orr C, Khanh-Dao Le L. A systematic review and meta-analysis of depression and apathy frequency in adult-onset Huntington's disease. Neurosci Biobehav Rev 2023; 149:105166. [PMID: 37054804 DOI: 10.1016/j.neubiorev.2023.105166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 04/07/2023] [Accepted: 04/09/2023] [Indexed: 04/15/2023]
Abstract
Depression and apathy are associated with decreased functional capacity in Huntington's disease (HD) but frequency of depression and apathy in HD is largely unknown. Systematic literature searching was conducted across 21 databases until 30 June 2021. Inclusion criteria was limited to clinician-rated assessments of depression and apathy and adult-onset HD. Inverse-variance heterogeneity meta-analyses were conducted exploring depression and apathy frequency within individuals from families affected by HD, and within individuals with confirmed HD gene-positive status. Screening identified 289 articles for full-text review; nine remained for meta-analysis. Depression frequency in the lifetime in adults affected by or at-risk for HD was 38%, I2 = 99%. Apathy frequency in the lifetime in adults affected by or at-risk for HD was 40%, I2 = 96%. The robustness of the findings improved when limiting the analysis to gene-positive individuals only where apathy was found to be slightly more common than depression, 48% and 43% respectively. Future studies may consider reporting results from juvenile-onset HD and adult-onset HD cohorts separately to further explore phenotypic profiles.
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Affiliation(s)
- Melanie L Clark
- Deakin University, Deakin Health Economics, School of Health and Social Development, Geelong, Victoria, 3220, Australia; Neurosciences Unit, North Metropolitan Health Services Mental Health Public Health Dental Services, Perth, Western Australia; Perron Institute for Neurological and Translational Science, Perth, Western Australia.
| | - Julie Abimanyi-Ochom
- Deakin University, Deakin Health Economics, School of Health and Social Development, Geelong, Victoria, 3220, Australia; Deakin University, Institute for Health Transformation, Faculty of Health, Geelong, Victoria, 3220, Australia
| | - Ha Le
- Deakin University, Deakin Health Economics, School of Health and Social Development, Geelong, Victoria, 3220, Australia; Deakin University, Institute for Health Transformation, Faculty of Health, Geelong, Victoria, 3220, Australia
| | - Brian Long
- Neurosciences Unit, North Metropolitan Health Services Mental Health Public Health Dental Services, Perth, Western Australia
| | - Carolyn Orr
- Neurosciences Unit, North Metropolitan Health Services Mental Health Public Health Dental Services, Perth, Western Australia; Perron Institute for Neurological and Translational Science, Perth, Western Australia
| | - Long Khanh-Dao Le
- Health Economics Division, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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16
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Yao Z, van Velthoven CTJ, Kunst M, Zhang M, McMillen D, Lee C, Jung W, Goldy J, Abdelhak A, Baker P, Barkan E, Bertagnolli D, Campos J, Carey D, Casper T, Chakka AB, Chakrabarty R, Chavan S, Chen M, Clark M, Close J, Crichton K, Daniel S, Dolbeare T, Ellingwood L, Gee J, Glandon A, Gloe J, Gould J, Gray J, Guilford N, Guzman J, Hirschstein D, Ho W, Jin K, Kroll M, Lathia K, Leon A, Long B, Maltzer Z, Martin N, McCue R, Meyerdierks E, Nguyen TN, Pham T, Rimorin C, Ruiz A, Shapovalova N, Slaughterbeck C, Sulc J, Tieu M, Torkelson A, Tung H, Cuevas NV, Wadhwani K, Ward K, Levi B, Farrell C, Thompson CL, Mufti S, Pagan CM, Kruse L, Dee N, Sunkin SM, Esposito L, Hawrylycz MJ, Waters J, Ng L, Smith KA, Tasic B, Zhuang X, Zeng H. A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain. bioRxiv 2023:2023.03.06.531121. [PMID: 37034735 PMCID: PMC10081189 DOI: 10.1101/2023.03.06.531121] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
The mammalian brain is composed of millions to billions of cells that are organized into numerous cell types with specific spatial distribution patterns and structural and functional properties. An essential step towards understanding brain function is to obtain a parts list, i.e., a catalog of cell types, of the brain. Here, we report a comprehensive and high-resolution transcriptomic and spatial cell type atlas for the whole adult mouse brain. The cell type atlas was created based on the combination of two single-cell-level, whole-brain-scale datasets: a single-cell RNA-sequencing (scRNA-seq) dataset of ~7 million cells profiled, and a spatially resolved transcriptomic dataset of ~4.3 million cells using MERFISH. The atlas is hierarchically organized into five nested levels of classification: 7 divisions, 32 classes, 306 subclasses, 1,045 supertypes and 5,200 clusters. We systematically analyzed the neuronal, non-neuronal, and immature neuronal cell types across the brain and identified a high degree of correspondence between transcriptomic identity and spatial specificity for each cell type. The results reveal unique features of cell type organization in different brain regions, in particular, a dichotomy between the dorsal and ventral parts of the brain: the dorsal part contains relatively fewer yet highly divergent neuronal types, whereas the ventral part contains more numerous neuronal types that are more closely related to each other. We also systematically characterized cell-type specific expression of neurotransmitters, neuropeptides, and transcription factors. The study uncovered extraordinary diversity and heterogeneity in neurotransmitter and neuropeptide expression and co-expression patterns in different cell types across the brain, suggesting they mediate a myriad of modes of intercellular communications. Finally, we found that transcription factors are major determinants of cell type classification in the adult mouse brain and identified a combinatorial transcription factor code that defines cell types across all parts of the brain. The whole-mouse-brain transcriptomic and spatial cell type atlas establishes a benchmark reference atlas and a foundational resource for deep and integrative investigations of cell type and circuit function, development, and evolution of the mammalian brain.
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Affiliation(s)
- Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Meng Zhang
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA
| | | | - Changkyu Lee
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Won Jung
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Pamela Baker
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Eliza Barkan
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Daniel Carey
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Min Chen
- University of Pennsylvania, Philadelphia, PA, USA
| | | | - Jennie Close
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Scott Daniel
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Tim Dolbeare
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - James Gee
- University of Pennsylvania, Philadelphia, PA, USA
| | | | - Jessica Gloe
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - James Gray
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Windy Ho
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Kelly Jin
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Kanan Lathia
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Arielle Leon
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Zoe Maltzer
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Naomi Martin
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Rachel McCue
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | | | | | | | - Josef Sulc
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Herman Tung
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Katelyn Ward
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Boaz Levi
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Shoaib Mufti
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Lauren Kruse
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Jack Waters
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Xiaowei Zhuang
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology, Department of Physics, Harvard University, Cambridge, MA, USA
| | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
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17
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Biggs C, Long B, Rodríguez JP. Priorities for a coordinated effort on behalf of lost species: a commentary on Martin
et al
. (2023). Anim Conserv 2023. [DOI: 10.1111/acv.12862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Affiliation(s)
| | | | - J. P. Rodríguez
- IUCN Species Survival Commission, Venezuelan Institute for Scientific Investigation (IVIC) and Provita Caracas Venezuela
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18
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Mukherjee S, Ariza J, Gibbons LE, Rachleff VM, Travaglini KJ, Latimer CS, Melief EJ, Campos JS, Gabitto M, Miller JA, Ding Y, Levi B, Long B, Kaplan ES, Hodge RD, Larson EB, Crane PK, Lein ES, Keene CD. Rate of memory decline is associated with neuronal nuclear protein (NeuN) positive cells count in middle temporal gyrus in the Adult Changes in Thought (ACT) autopsy cohort. Alzheimers Dement 2022. [DOI: 10.1002/alz.063401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | | | | | | | | | - Erica J Melief
- University of Washington School of Medicine Seattle WA USA
| | | | | | | | - Yi Ding
- Allen Institute for Brain Science Seattle WA USA
| | - Boaz Levi
- Allen Institute for Brain Science Seattle WA USA
| | - Brian Long
- Allen Institute for Brain Science Seattle WA USA
| | | | | | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute Seattle WA USA
| | | | - Ed S Lein
- Allen Institute for Brain Science Seattle WA USA
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19
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Lei Q, Wang Y, Sui J, Luo Q, Jin F, Long B, Shu X, Li S, Huang L, Zhong M, Mao K. CAMRESBRT: Randomized Phase II Trial of Camrelizumab with Stereotactic Body Radiotherapy vs. Camrelizumab Alone in Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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20
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Fang R, Xia C, Close JL, Zhang M, He J, Huang Z, Halpern AR, Long B, Miller JA, Lein ES, Zhuang X. Conservation and divergence of cortical cell organization in human and mouse revealed by MERFISH. Science 2022; 377:56-62. [PMID: 35771910 PMCID: PMC9262715 DOI: 10.1126/science.abm1741] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The human cerebral cortex has tremendous cellular diversity. How different cell types are organized in the human cortex and how cellular organization varies across species remain unclear. In this study, we performed spatially resolved single-cell profiling of 4000 genes using multiplexed error-robust fluorescence in situ hybridization (MERFISH), identified more than 100 transcriptionally distinct cell populations, and generated a molecularly defined and spatially resolved cell atlas of the human middle and superior temporal gyrus. We further explored cell-cell interactions arising from soma contact or proximity in a cell type-specific manner. Comparison of the human and mouse cortices showed conservation in the laminar organization of cells and differences in somatic interactions across species. Our data revealed human-specific cell-cell proximity patterns and a markedly increased enrichment for interactions between neurons and non-neuronal cells in the human cortex.
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Affiliation(s)
- Rongxin Fang
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, Cambridge, MA 02138, USA
| | - Chenglong Xia
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, Cambridge, MA 02138, USA
| | - Jennie L Close
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Meng Zhang
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, Cambridge, MA 02138, USA
| | - Jiang He
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, Cambridge, MA 02138, USA
| | - Zhengkai Huang
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, Cambridge, MA 02138, USA
| | - Aaron R Halpern
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, Cambridge, MA 02138, USA
| | - Brian Long
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Xiaowei Zhuang
- Howard Hughes Medical Institute, Department of Chemistry and Chemical Biology and Department of Physics, Harvard University, Cambridge, MA 02138, USA
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21
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Moure CJ, Sondey C, Cheng M, Mansueto M, Fernandez R, Schneider SE, Ramirez JV, Long B, DiMauro E, Vara B, Yeung C, Achab A, Lim J, Kim R, Zarate C, Bennett J, Palte R, Foti R, Simov V, Barry E. Abstract 3938: Discovery of a novel small molecule inhibitor of the YAP1/TAZ-TEAD transcriptional complex. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-3938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Hippo pathway alterations in human cancers often result in dephosphorylation of yes-associated protein (YAP1) and its paralog TAZ (WWTR1), allowing the formation of an active complex with transcriptional enhanced associate domain transcription factors (TEADs). This complex formation results in the activation of pro-survival and pro-proliferative transcriptional programs in cancer cells. Many tumor types harbor alterations in the Hippo pathway, including mesothelioma, where a high percentage of tumors are driven by YAP1/TEAD activity. Although traditionally difficult to drug with small molecules, identification of autopalmitoylation sites in the hydrophobic palmitate pocket of TEADs necessary for YAP1 interaction has enabled modern drug discovery platforms to generate compounds that allosterically inhibit YAP1/TAZ-TEAD complex formation and transcriptional activity. We report the discovery and characterization of the novel YAP1/TAZ-TEAD inhibitor MRK-A from an aryl ether chemical series demonstrating potent and specific inhibition of YAP1/TAZ-TEAD activity. In biochemical thermal shift assays, MRK-A caused a concentration-dependent melting temperature shift of 8-12.5 and 0.6-1.5 degrees for TEAD1 and TEAD2, respectively, indicating direct binding to TEAD protein. In cellular assays, MRK-A demonstrated inhibition of a TEAD-based reporter assay, with little to no activity in multiple orthogonal off-target reporter assays such as WNT, NF-KB, TGFB and PPARG (8.4 nM vs. >10000 nM), which is consistent with the exquisite selectivity profile of this molecule (>1000x selectivity against 350+ measured kinases and other common off-targets). In the NF2-deficient mesothelioma cell line H226, MRK-A suppressed the transcription of endogenous YAP/TAZ-TEAD target genes CYR61, ERBB3, ANKRD1 and CTGF (50-75% inhibition at 100 nM), but not LATS1, a non-TEAD regulated Hippo pathway gene. In co-immunoprecipitation assays, MRK-A disrupted the interaction of YAP1 and TEAD in H226 cells at concentrations consistent with inhibition of target genes. In addition, MRK-A potently blocked the clonogenic growth and viability of H226 cells in a dose-dependent manner (maximal response at 1 µM compound >90% growth inhibition), while sparing the Hippo wild-type mesothelioma cell line H28. Furthermore, structurally similar control compounds, MRK-B and MRK-C, without the ability to block TEAD-mediated transcription (TEAD reporter MCF7 assay IC50 > 10000 nM), did not impact the clonogenic growth of H226 cells. In vivo, MRK-A did not show acute tolerability signals in mice and demonstrated pharmacokinetics suitable for daily oral dosing in efficacy studies. In summary, we report the structure and characterization of MRK-A demonstrating potent and specific inhibition of YAP1/TAZ-TEAD mediated transcriptional responses, with potential implications for treating malignancies driven by altered Hippo signaling.
Citation Format: Casey J. Moure, Christopher Sondey, Mangeng Cheng, My Mansueto, Rafael Fernandez, Sebastian E. Schneider, Julia V. Ramirez, Brian Long, Erin DiMauro, Brandon Vara, Charles Yeung, Abe Achab, Jongwon Lim, Ronald Kim, Cayetana Zarate, Jonathan Bennett, Rachel Palte, Robert Foti, Vladimir Simov, Evan Barry. Discovery of a novel small molecule inhibitor of the YAP1/TAZ-TEAD transcriptional complex [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3938.
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22
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Chalishazar MD, Solban N, Kopinja J, Linn D, Cristescu R, Zhou H, Rosahl T, Long B, Zhang W, Hostetler E. Abstract 2455: Development of a bioluminescence reporter mouse model for tracking and quantifying Ly6G+ neutrophils in vivo. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Immunotherapy has revolutionized the way cancer is treated; however, despite tremendous success, not all patients benefit from immunotherapy. Identifying biomarkers predictive of effective treatment response to current and novel immunotherapies is of utmost importance. Multiple studies have indicated neutrophil-lymphocyte ratio (NLR) may be a predictive biomarker of immunotherapy response. We analyzed hematological parameters across multiple preclinical murine tumors to determine if NLR predicts tumor growth and response to treatment. The hematological survey identified NLR to be strongly correlated to tumor weights, with larger tumors exhibiting higher NLRs. In addition, mouse tumors that have been characterized as resistant or partially responsive to immunotherapy had a higher NLR than tumors responsive to immunotherapy. To track neutrophils in vivo, we generated a BAC transgenic mouse wherein firefly luciferase (Luc2), diphtheria toxin receptor (DTR), and enhanced green fluorescence protein (eGFP) genes were expressed under the endogenous Ly6G promoter. The Ly6G promoter enables tracking of Ly6G+ neutrophils using luciferase-based bioluminescence imaging (BLI), depletion of Ly6G+ neutrophils by diphtheria toxin treatment, and the ability to perform flow analyses using the eGFP marker. In vivo and ex vivo BLI demonstrated that the Ly6G+ cells were primarily expressed in bone marrow, blood, spleen, and the digestive tract. To ensure the specificity of the bioluminescence signal, we isolated Ly6G+ and Ly6G- immune cells and performed in vitro BLI. In vitro BLI confirmed that bioluminescence was exclusive to Ly6G+ cells. To confirm that the Luc2-DTR-eGFP (LDG) reporter cassette expression did not affect neutrophil activity and function, we quantified the level of myeloperoxidase (MPO), a marker of neutrophil activation, in the phorbol myristate acetate (PMA)-induced ear edema mouse model. Neutrophil activity was measured using luminol enabled BLI of MPO. Luminol-BLI following PMA-induced ear edema demonstrated similar MPO activity between wildtype and transgenic mice. Finally, we investigated if the LDG reporter cassette impacted tumor growth. Measures of tumor burden in this transgenic line recapitulated our hematological findings. Tumors with higher NLR showed higher tumor BLI signal when compared to tumors with lower NLR ratio, demonstrating that the LDG reporter cassette did not impact tumor growth in the transgenic mice and importantly, providing a tool to track Ly6G+ cells in tumors. Our results demonstrate that NLR in tumor correlates with response to immunotherapy across multiple tumor types. Here we describe the development of a transgenic mouse to track intratumoral Ly6G+ cells. These transgenic mice provide a valuable tool for profiling oncology compounds, including those targeting immune cells, and for understanding the mechanism of action of such agents.
Citation Format: Milind D. Chalishazar, Nicolas Solban, Johnny Kopinja, Doug Linn, Razvan Cristescu, Heather Zhou, Thomas Rosahl, Brian Long, Weisheng Zhang, Eric Hostetler. Development of a bioluminescence reporter mouse model for tracking and quantifying Ly6G+ neutrophils in vivo [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2455.
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23
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Griffith S, Wesslingh R, Broadley J, O'Shea M, Kyndt C, Meade C, Long B, Seneviratne U, Reidy N, Bourke R, Buzzard K, D'Souza W, Macdonell R, Brodtmann A, Butzkueven H, O'Brien TJ, Alpitsis R, Malpas CB, Monif M. Psychometric Deficits in Autoimmune Encephalitis: A retrospective study from the Australian Autoimmune Encephalitis Consortium. Eur J Neurol 2022; 29:2355-2366. [PMID: 35460305 DOI: 10.1111/ene.15367] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 04/13/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Despite the rapid increase in research examining outcomes in Autoimmune Encephalitis (AE) patients, there are few cohort studies examining cognitive outcomes in this population. METHODS This retrospective observational study collected psychometric data from 59 patients across six secondary and tertiary referral centres in metropolitan hospitals in Victoria, Australia between January 2008 and July 2019. Frequency and pattern analysis were employed to define and characterise psychometric outcomes. Univariable logistic regression was performed to examine predictors of intact and pathological psychometric outcomes. RESULTS Deficits in psychometric markers of executive dysfunction were the most commonly observed in this cohort, followed by deficits on tasks sensitive to memory. 54.2% were classified as having psychometric impairments across at least two cognitive domains. 29 patterns were observed, suggesting outcomes in AE are complex. None of the demographic data, clinical features, and auxiliary examination variables were predictors of psychometric outcome. CONCLUSIONS Cognitive outcomes in AE are complex. Further detailed and standardised cognitive testing in combination with MRI volumetrics and serum/CSF biomarkers is required to provide rigorous assessments of disease outcomes.
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Affiliation(s)
- Sarah Griffith
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Alfred Health, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004
| | - Robb Wesslingh
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Alfred Health, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004
| | - James Broadley
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Alfred Health, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004
| | - Marie O'Shea
- Department of Clinical Neuropsychology, Austin Health, Heidelberg, Victoria, Australia, 3084.,Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia
| | - Chris Kyndt
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, Victoria, Australia, 3050.,Department of Neurosciences, Eastern Health Clinical School, Monash University, Box Hill Hospital, Melbourne, VIC, Australia
| | - Catherine Meade
- Department of Neurosciences, Building D - Daly Wing, Level 5, St Vincent's Hospital, Fitzroy, Victoria, Australia, 3065
| | - Brian Long
- Neuropsychology Unit, Monash Medical Centre, Monash Health, 246 Clayton Road, Clayton, Victoria, Australia, 3168
| | - Udaya Seneviratne
- Department of Neurosciences, Monash Health, Clayton Road, Clayton, Victoria, Australia, 3168
| | - Natalie Reidy
- Department of Neurosciences, Eastern Health Clinical School, Monash University, Box Hill Hospital, Melbourne, VIC, Australia
| | - Robert Bourke
- Neuropsychology Unit, Monash Medical Centre, Monash Health, 246 Clayton Road, Clayton, Victoria, Australia, 3168
| | - Katherine Buzzard
- Department of Neurosciences, Eastern Health Clinical School, Monash University, Box Hill Hospital, Melbourne, VIC, Australia
| | - Wendyl D'Souza
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Fitzroy, Victoria, Australia, 3065
| | - Richard Macdonell
- Department of Neurology, Austin Health, Heidelberg, Victoria, Australia, 3084
| | - Amy Brodtmann
- Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, Victoria, Australia, 3050.,Department of Neurosciences, Eastern Health Clinical School, Monash University, Box Hill Hospital, Melbourne, VIC, Australia.,Department of Neurology, Austin Health, Heidelberg, Victoria, Australia, 3084
| | - Helmut Butzkueven
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Alfred Health, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004
| | - Terence J O'Brien
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Alfred Health, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004
| | - Rubina Alpitsis
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Alfred Health, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004
| | - Charles B Malpas
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Alfred Health, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, Victoria, Australia, 3050.,Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Victoria, Australia.,Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia
| | - Mastura Monif
- Department of Neurosciences, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Alfred Health, Alfred Centre, Level 6, 99 Commercial Road, Melbourne, Victoria, Australia, 3004.,Department of Neurology, Melbourne Health, 300 Grattan Street, Parkville, Victoria, Australia, 3050
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Huffman ZK, Sperling JM, Windorff CJ, Long B, Cordova L, Ramanantoanina H, Celis-Barros C, Albrecht-Schoenzart T. Synthesis and characterization of a bimetallic americium(III) pyrithionate coordination complex. Chem Commun (Camb) 2022; 58:11791-11794. [DOI: 10.1039/d2cc03352f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The aqueous reaction of sodium pyrithione, (Na)mpo, with 243AmCl3•nH2O yields a dimerized complex, [243Am(mpo)2(μ-O-mpo)(H2O)]2•3H2O. This compound is compared with isostructural lanthanide pyrithionates, where dimerization across the 4f-block is observed to...
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25
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Sauvat L, Lhermite Q, Desplechain C, Long B, Vidal M. An ambivalent prostate nodule after Bacillus Calmette-Guérin therapy. IDCases 2021; 26:e01338. [PMID: 34849340 PMCID: PMC8608871 DOI: 10.1016/j.idcr.2021.e01338] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/11/2021] [Accepted: 11/11/2021] [Indexed: 11/17/2022] Open
Abstract
A 65-year-old patient without specific associated pathology was treated for a high-grade non-invasive papillary urothelial carcinoma by surgery associated with repeated intravesical Bacillus Calmette-Guérin (BCG) instillations. During follow-up, magnetic resonance imaging (MRI) found a clinically indurated prostate nodule with suspected extensive capsular invasion. Prostatic biopsies showed epithelioid and giant-cell granuloma associated with a single focus of adenocarcinoma. Urinary culture test and specific PCR confirmed the involvement of Mycobacterium bovis. The patient was treated first by rifampin, isoniazid and ethambutol and then by rifampin and isoniazid for a total duration of 9 months, with MRI reassessment at various intervals. After BCG therapy, systemic infectious complications but also local complications such as granulomatous disease have been reported, but prostatic abscesses with M. bovis mimicking cancer on MRI are rare. Consequently, we advise specific local urinary and prostate samples to test for mycobacteria (staining, culture, PCR) in order to avoid aggressive high-risk prostatic surgery. Bacillus Calmette-Guérin instillations for bladder carcinoma are usually prescribed. Infectious complications are rare after instillations and difficult to diagnose. This case of prostate nodules after treatment can suggest aggressive prostate cancer. A strategy diagnostic based on microbiology and imaging is necessary in our case. A trial antibiotic treatment should be considered at the first sign of doubt.
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Affiliation(s)
- L. Sauvat
- Infectious and Tropical Disease Unit, CHU Clermont-Ferrand, 58 Rue Montalembert, France
- Corresponding author.
| | - Q. Lhermite
- Radiology Department, CHU Clermont-Ferrand, 58 Rue Montalembert, France
| | - C. Desplechain
- Sipath Unilabs Laboratory, 18 Avenue Léonard de Vinci, 63000 Clermont-Ferrand, France
| | - B. Long
- Private Hospital "La Chataigneraie", 59 Rue de la Châtaigneraie, 63110 Beaumont, France
| | - M. Vidal
- Infectious and Tropical Disease Unit, CHU Clermont-Ferrand, 58 Rue Montalembert, France
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Gorovits B, Azadeh M, Buchlis G, Harrison T, Havert M, Jawa V, Long B, McNally J, Milton M, Nelson R, O'Dell M, Richards K, Vettermann C, Wu B. Evaluation of the Humoral Response to Adeno-Associated Virus-Based Gene Therapy Modalities Using Total Antibody Assays. AAPS J 2021; 23:108. [PMID: 34529177 PMCID: PMC8445016 DOI: 10.1208/s12248-021-00628-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 07/23/2021] [Indexed: 02/06/2023] Open
Abstract
The number of viral vector-based gene therapies (GTx) continues to grow with two products (Zolgensma® and Luxturna®) approved in the USA as of March 2021. To date, the most commonly used vectors are adeno-associated virus-based (AAV). The pre-existing humoral immunity against AAV (anti-AAV antibodies) has been well described and is expected as a consequence of prior AAV exposure. Anti-AAV antibodies may present an immune barrier to successful AAV transduction and hence negatively impact clinical efficacy and may also result in adverse events (AEs) due to the formation of large immune complexes. Patients may be screened for the presence of anti-AAV antibodies, including neutralizing (NAb) and total binding antibodies (TAb) prior to treatment with the GTx. Recommendations for the development and validation of anti-AAV NAb detection methods have been presented elsewhere. This manuscript covers considerations related to anti-AAV TAb-detecting protocols, including the advantages of the use of TAb methods, selection of assay controls and reagents, and parameters critical to monitoring assay performance. This manuscript was authored by a group of scientists involved in GTx development representing eleven organizations. It is our intent to provide recommendations and guidance to industry sponsors, academic laboratories, and regulatory agencies working on AAV-based GTx viral vector modalities with the goal of achieving a more consistent approach to anti-AAV TAb assessment. Graphical abstract ![]()
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Affiliation(s)
- Boris Gorovits
- Sana Biotechnology, Inc., Cambridge, Massachusetts, USA.
| | | | - George Buchlis
- University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | | | - Vibha Jawa
- Bristol Myers Squibb, Princeton, New Jersey, USA
| | - Brian Long
- BioMarin Pharmaceutical Inc., Novato, California, USA
| | | | | | | | - Mark O'Dell
- Covance by Labcorp, Indianapolis, Indiana, USA
| | | | | | - Bonnie Wu
- Johnson & Johnson, Spring House, Pennsylvania, USA
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Disalvo D, Agar M, Caplan G, Murtagh FE, Luckett T, Heneka N, Hickman L, Kinchin I, Trethewie S, Sheehan C, Urban K, Cohen J, Harlum J, Long B, Parker T, Schaefer I, Phillips J. Virtual models of care for people with palliative care needs living in their own home: A systematic meta-review and narrative synthesis. Palliat Med 2021; 35:1385-1406. [PMID: 34169759 DOI: 10.1177/02692163211024451] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Access to palliative care in the community enables people to live in their preferred place of care, which is often home. Community palliative care services struggle to provide timely 24-h services to patients and family. This has resulted in calls for 'accessible and flexible' models of care that are 'responsive' to peoples' changing palliative care needs. Digital health technologies provide opportunities to meet these requirements 24-h a day. AIM To identify digital health technologies that have been evaluated for supporting timely assessment and management of people living at home with palliative care needs and/or their carer(s), and the evidence-base for each. DESIGN A systematic review of systematic reviews ('meta-review'). Systematic reviews evaluating evidence for virtual models of palliative or end-of-life care using one or more digital health technologies were included. Systematic reviews were evaluated using the Risk of Bias Tool for Systematic Reviews. A narrative approach was used to synthesise results. DATA SOURCES Medline, Embase, Web of Science, CINAHL and Cochrane Database of systematic reviews were searched for English-language reviews published between 2015 and 2020. RESULTS The search yielded 2266 articles, of which 12 systematic reviews met criteria. Sixteen reviews were included in total, after four reviews were found via handsearching. Other than scheduled telehealth, video-conferencing, or after-hours telephone support, little evidence was found for digital health technologies used to deliver virtual models of palliative care. CONCLUSIONS There are opportunities to test new models of virtual care, beyond telehealth and/or video conferencing, such as 24-h command centres, and rapid response teams. SYSTEMATIC REVIEW REGISTRATION NUMBER Prospero CRD42020200266.
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Affiliation(s)
- Domenica Disalvo
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | - Meera Agar
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | | | - Fliss Em Murtagh
- Wolfson Palliative Care Research Centre, Hull York Medical School, University of Hull, Hull, UK
| | - Tim Luckett
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | - Nicole Heneka
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | - Louise Hickman
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | - Irina Kinchin
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | - Susan Trethewie
- Sydney Children's Hospital, Randwick, SCH Pain and Palliative Care Service Sydney Children's Hospital, Sydney, NSW, Australia
| | | | - Kat Urban
- Department of Palliative Care, Prince of Wales Hospital and Community Health Services, Sydney, Australia
| | - Joshua Cohen
- Calvary Health Care Kogarah, Sydney, NSW, Australia
| | - Janeane Harlum
- South Western Sydney Local Health District, Sydney, NSW, Australia
| | - Brian Long
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | - Tricia Parker
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | - Isabelle Schaefer
- IMPACCT - Improving Palliative, Aged and Chronic Care through Clinical Research and Translation, University of Technology Sydney, NSW, Australia
| | - Jane Phillips
- School of Nursing, Faculty of Health, Queensland University of Technology, Brisbane, NSW, Australia
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Langseth CM, Gyllborg D, Miller JA, Close JL, Long B, Lein ES, Hilscher MM, Nilsson M. Comprehensive in situ mapping of human cortical transcriptomic cell types. Commun Biol 2021; 4:998. [PMID: 34429496 PMCID: PMC8384853 DOI: 10.1038/s42003-021-02517-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 07/22/2021] [Indexed: 12/18/2022] Open
Abstract
The ability to spatially resolve the cellular architecture of human cortical cell types over informative areas is essential to understanding brain function. We combined in situ sequencing gene expression data and single-nucleus RNA-sequencing cell type definitions to spatially map cells in sections of the human cortex via probabilistic cell typing. We mapped and classified a total of 59,816 cells into all 75 previously defined subtypes to create a first spatial atlas of human cortical cells in their native position, their abundances and genetic signatures. We also examined the precise within- and across-layer distributions of all the cell types and provide a resource for the cell atlas community. The abundances and locations presented here could serve as a reference for further studies, that include human brain tissues and disease applications at the cell type level. Langseth et al. present cell type maps of human cortical tissue sections and show an efficient and robust workflow to accurately resolve anatomical organization of human brain tissue.
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Affiliation(s)
| | - Daniel Gyllborg
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden
| | | | | | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Markus M Hilscher
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
| | - Mats Nilsson
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Solna, Sweden.
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Huarte E, Peel M, Juvekar A, Dubé P, Sarah S, Stephens L, Stewart B, Long B, Czerniak P, Oliver J, Smith P. Ruxolitinib, a JAK1/JAK2 selective inhibitor, ameliorates acute and chronic steroid-refractory GvHD mouse models. Immunotherapy 2021; 13:977-987. [PMID: 34184542 DOI: 10.2217/imt-2021-0013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Aim: Graft-versus-host disease (GvHD) is a major complication arising in patients undergoing allogenic hematopoietic stem cell transplantation. Material & methods: We tested ruxolitinib (a selective JAK1/2 inhibitor) efficacy in three different preclinical models of GvHD. Results: Ruxolitinib, at doses that mimic clinically achievable human JAK/signal transducers and activators of transcription target inhibition, significantly reduced alloreactive T-cell activation and infiltration in the lung and skin, leading to improved outcomes in two experimental models of steroid-refractory acute and chronic GvHD. Additionally, we describe a novel humanized GvHD model in which immunodeficient NOG animals are engineered to produce human IL-15 to facilitate enhanced T- and NK cell engraftment, leading to severe GvHD. Conclusion: Ruxolitinib treatment ameliorated disease symptoms resulting from targeted immune modulation via JAK/signal transducers and activators of transcription signaling inhibition.
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Affiliation(s)
- Eduardo Huarte
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
| | - Michael Peel
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
| | - Ashish Juvekar
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
| | - Philip Dubé
- Taconic Biosciences, 1 Discovery Drive, Rensselaer, NY 12144, USA
| | - Sarala Sarah
- Taconic Biosciences, 1 Discovery Drive, Rensselaer, NY 12144, USA
| | - Lynn Stephens
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
| | - Becky Stewart
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
| | - Brian Long
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
| | - Philip Czerniak
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
| | - Julian Oliver
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
| | - Paul Smith
- Incyte Research Institute, 1801 Augustine Cut-off, Wilmington, DE 19803, USA
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Park J, Choi W, Tiesmeyer S, Long B, Borm LE, Garren E, Nguyen TN, Tasic B, Codeluppi S, Graf T, Schlesner M, Stegle O, Eils R, Ishaque N. Cell segmentation-free inference of cell types from in situ transcriptomics data. Nat Commun 2021; 12:3545. [PMID: 34112806 PMCID: PMC8192952 DOI: 10.1038/s41467-021-23807-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 05/14/2021] [Indexed: 12/24/2022] Open
Abstract
Multiplexed fluorescence in situ hybridization techniques have enabled cell-type identification, linking transcriptional heterogeneity with spatial heterogeneity of cells. However, inaccurate cell segmentation reduces the efficacy of cell-type identification and tissue characterization. Here, we present a method called Spot-based Spatial cell-type Analysis by Multidimensional mRNA density estimation (SSAM), a robust cell segmentation-free computational framework for identifying cell-types and tissue domains in 2D and 3D. SSAM is applicable to a variety of in situ transcriptomics techniques and capable of integrating prior knowledge of cell types. We apply SSAM to three mouse brain tissue images: the somatosensory cortex imaged by osmFISH, the hypothalamic preoptic region by MERFISH, and the visual cortex by multiplexed smFISH. Here, we show that SSAM detects regions occupied by known cell types that were previously missed and discovers new cell types.
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Affiliation(s)
- Jeongbin Park
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
- Division of Computational Genomics and System Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wonyl Choi
- Department of Computer Science, Boston University, Boston, MA, USA
| | - Sebastian Tiesmeyer
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany
| | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lars E Borm
- Division of molecular neurobiology, Department of medical biochemistry and biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Emma Garren
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Simone Codeluppi
- Division of molecular neurobiology, Department of medical biochemistry and biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Tobias Graf
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany
| | - Matthias Schlesner
- Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Oliver Stegle
- Division of Computational Genomics and System Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany
| | - Roland Eils
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany.
- Health Data Science Unit, Heidelberg University Hospital, Heidelberg, Germany.
| | - Naveed Ishaque
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Digital Health Center, Kapelle-Ufer 2, 10117, Berlin, Germany.
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Menon G, Long B, Petit R, Zimmer J, Gadbois K, Niatsetski Y, Wiebe E, Cuartero J, Huang F, Yip E. PO-0214 Investigation of obstructions in ring applicators during pulsed dose rate cervix brachytherapy. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)06373-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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32
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Wang Y, Cui L, Georgiev P, Singh L, Zheng Y, Yu Y, Grein J, Zhang C, Muise ES, Sloman DL, Ferguson H, Yu H, Pierre CS, Dakle PJ, Pucci V, Baker J, Loboda A, Linn D, Brynczka C, Wilson D, Haines BB, Long B, Wnek R, Sadekova S, Rosenzweig M, Haidle A, Han Y, Ranganath SH. Combination of EP 4 antagonist MF-766 and anti-PD-1 promotes anti-tumor efficacy by modulating both lymphocytes and myeloid cells. Oncoimmunology 2021; 10:1896643. [PMID: 33796403 PMCID: PMC7993229 DOI: 10.1080/2162402x.2021.1896643] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Prostaglandin E2 (PGE2), an arachidonic acid pathway metabolite produced by cyclooxygenase (COX)-1/2, has been shown to impair anti-tumor immunity through engagement with one or more E-type prostanoid receptors (EP1-4). Specific targeting of EP receptors, as opposed to COX-1/2 inhibition, has been proposed to achieve preferential antagonism of PGE2–mediated immune suppression. Here we describe the anti-tumor activity of MF-766, a potent and highly selective small-molecule inhibitor of the EP4 receptor. EP4 inhibition by MF-766 synergistically improved the efficacy of anti-programmed cell death protein 1 (PD-1) therapy in CT26 and EMT6 syngeneic tumor mouse models. Multiparameter flow cytometry analysis revealed that treatment with MF-766 promoted the infiltration of CD8+ T cells, natural killer (NK) cells and conventional dendritic cells (cDCs), induced M1-like macrophage reprogramming, and reduced granulocytic myeloid-derived suppressor cells (MDSC) in the tumor microenvironment (TME). In vitro experiments demonstrated that MF-766 restored PGE2-mediated inhibition of lipopolysaccharide (LPS)-induced tumor necrosis factor (TNF)-α production in THP-1 cells and human blood, and PGE2-mediated inhibition of interleukin (IL)-2-induced interferon (IFN)-γ production in human NK cells. MF-766 reversed the inhibition of IFN-γ in CD8+ T-cells by PGE2 and impaired suppression of CD8+ T-cells induced by myeloid-derived suppressor cells (MDSC)/PGE2. In translational studies using primary human tumors, MF-766 enhanced anti-CD3-stimulated IFN-γ, IL-2, and TNF-α production in primary histoculture and synergized with pembrolizumab in a PGE2 high TME. Our studies demonstrate that the combination of EP4 blockade with anti-PD-1 therapy enhances antitumor activity by differentially modulating myeloid cell, NK cell, cDC and T-cell infiltration profiles.
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Affiliation(s)
- Yun Wang
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Long Cui
- Department of Quantitative Biosciences, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Peter Georgiev
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Latika Singh
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Yanyan Zheng
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Ying Yu
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Jeff Grein
- Department of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Chunsheng Zhang
- Department of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Eric S Muise
- Department of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, Massachusetts, USA
| | - David L Sloman
- Department of Discovery Chemistry, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Heidi Ferguson
- Department of Pharmaceutical Science, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Hongshi Yu
- Department of Pharmaceutical Science, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Cristina St Pierre
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Pranal J Dakle
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Vincenzo Pucci
- Department of Pharmacokinetics, Pharmacodynamics & Drug Metabolism, Merck & Co., Inc., Boston, Massachusetts, USA
| | - James Baker
- Department of Pharmacokinetics, Pharmacodynamics & Drug Metabolism, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Andrey Loboda
- Department of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Doug Linn
- Department of Quantitative Biosciences, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Christopher Brynczka
- Dept. Safety and Exploratory Pharmacology, Safety Assessment and Laboratory Animal Resources, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Doug Wilson
- Department of Genetics and Pharmacogenomics, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Brian B Haines
- Department of Quantitative Biosciences, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Brian Long
- Department of Quantitative Biosciences, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Richard Wnek
- Department of Translational Biomarkers, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Svetlana Sadekova
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Michael Rosenzweig
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Andrew Haidle
- Department of Discovery Chemistry, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Yongxin Han
- Department of Discovery Chemistry, Merck & Co., Inc., Boston, Massachusetts, USA
| | - Sheila H Ranganath
- Department of Oncology Early Discovery, Merck & Co., Inc., Boston, Massachusetts, USA
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Yang F, Patton K, Kasprzyk T, Long B, Gupta S, Zoog SJ, Tracy K, Vettermann C. Validation of an IFN-gamma ELISpot assay to measure cellular immune responses against viral antigens in non-human primates. Gene Ther 2021; 29:41-54. [PMID: 33432123 PMCID: PMC7797710 DOI: 10.1038/s41434-020-00214-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 11/19/2020] [Accepted: 12/04/2020] [Indexed: 12/30/2022]
Abstract
Adeno-Associated Virus (AAV)-based gene therapy vectors are in development for many inherited human disorders. In nonclinical studies, cellular immune responses mediated by cytotoxic T cells may target vector-transduced cells, which could impact safety and efficacy. Here, we describe the bioanalytical validation of an interferon-gamma (IFN-γ)-based Enzyme-Linked Immunospot (ELISpot) assay for measuring T cell responses against viral antigens in cynomolgus monkeys. Since ELISpots performed with antigen-derived peptides offer a universal assay format, method performance characteristics were validated using widely available peripheral blood mononuclear cells (PBMCs) responsive to cytomegalovirus peptides. The limit of detection and confirmatory cut point were established using statistical methods; precision, specificity, and linearity were confirmed. Monkey PBMCs from an AAV5 gene therapy study were then analyzed, using peptide pools spanning the vector capsid and transgene product. AAV5-specific T cell responses were detected only in 2 of 18 monkeys at Day 28, but not at Day 13 and 56 after vector administration, with no correlation to liver enzyme elevations or transgene expression levels. No transgene product-specific T cell responses occurred. In conclusion, while viral peptide-specific IFN-γ ELISpots can be successfully validated for monkey PBMCs, monitoring peripheral T cell responses in non-clinical AAV5 gene therapy studies was of limited value to interpret safety or efficacy.
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Affiliation(s)
- Fan Yang
- BioMarin Pharmaceutical, Inc, Novato, CA, USA
| | | | | | - Brian Long
- BioMarin Pharmaceutical, Inc, Novato, CA, USA
| | - Soumi Gupta
- BioMarin Pharmaceutical, Inc, Novato, CA, USA
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Sui J, Wang Y, Long B, Shu X, Tang Z, Wu Y, Tao D. Concurrent Chemoradiotherapy with Triweekly Nedaplatin versus Weekly Nedaplatin in Stage II–IVa Nasopharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Bahce I, Hashemi S, Fransen M, Veltman J, McDermott L, Hutchins J, Caldwell C, Argyres M, Long B, Wolf J, Thunnissen E. 1390P Impact of adding viagenpumatucel-L to nivolumab in non-small cell lung cancer (NSCLC) patients with low levels of tumour infiltrating lymphocytes. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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36
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Pollet EP, Pollet DP, Long B, Qutub AA. 1205 Activity Trackers As A Tool In Sleep Research: Determining Discrepancies In Trackers Vs. PSG. Sleep 2020. [DOI: 10.1093/sleep/zsaa056.1199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Introduction
Fitness-based wearables and other emerging sensor technologies have the potential to track sleep across large populations longitudinally in at-home environments. To understand how these devices can inform research studies, limitations of available trackers need to be compared to traditional polysomnography (PSG). Here we assessed discrepancies in sleep staging in activity trackers vs. PSG in subjects with various sleep disorders.
Methods
Twelve subjects (age 41-78, 7f, 5m) wore a Fitbit Charge 3 while undergoing a scheduled sleep study. Six subjects had been previously diagnosed with a sleep disorder (5 OSA, 1 CSA). 4 subjects used CPAP throughout the night, 2 had a split night (CPAP 2nd half of the night), and 6 had a PSG only. Activity tracker staging was compared to 2 RPSGTs staging.
Results
Of the 12 subjects, eight subjects’ sleep was detected in the activity tracker, and compared across sleep stages to the PSG (7 female, 1 male, ages 41-78, AHI 0.3-87, RDI 0.5-94.4, sleep efficiency 74%+/-18, 4 PSG, 1 split, 3 CPAP). The activity tracker matched either tech 52% (+/- 13). The average difference in score tech and activity tracker staging for sleep onset (SO) was 16 +/- 15 minutes and wake after sleep onset was 43.5 +/- 44 minutes. Sensitivity, specificity, and balanced accuracy were found for each sleep stage. Respectively, Wake: 0.45+/-0.27, 0.97+/-0.03, 0.71+/-0.12, REM: 0.41+/-0.30, 0.90+/-0.06, 0.60+/-0.28, Light: 0.71+/-0.09, 0.58+/-0.19, 0.65+/-0.10, Deep: 0.63+/-0.52, 0.88+/-0.05, 0.59+/-0.49.
Conclusion
From this study of 12 subjects seen at a sleep clinic for suspected sleep disorders, activity trackers performed best in wake, REM and deep sleep specificity (>=88%), while they lacked sensitivity to REM and wake (<=45%) stages. The tracker did not detect sleep in 4 subjects who had elevated AHI or low sleep efficiency. Further analysis can identify whether discrepancies between the Fitbit and PSG can be predicted by distinct patterns in sleep staging and/or identify subject exclusion criteria for activity tracking studies.
Support
This project in on-going with the support of Academy Diagnostics Sleep and EEG Center and staff.
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Affiliation(s)
- E P Pollet
- University of Texas at San Antonio, San Antonio, TX
- Academy Diagnostics Sleep and EEG Center, San Antonio, TX
| | - D P Pollet
- Academy Diagnostics Sleep and EEG Center, San Antonio, TX
| | - B Long
- University of Texas at San Antonio, San Antonio, TX
| | - A A Qutub
- University of Texas at San Antonio, San Antonio, TX
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Zhang L, Wang IM, Solban N, Cristescu R, Zeng G, Long B. Comprehensive investigation of T and B cell receptor repertoires in an MC38 tumor model following murine anti‑PD‑1 administration. Mol Med Rep 2020; 22:975-985. [PMID: 32468004 PMCID: PMC7339640 DOI: 10.3892/mmr.2020.11169] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Accepted: 04/20/2020] [Indexed: 11/15/2022] Open
Abstract
The MC38 (derived from carcinogen-induced colon adenocarcinoma) tumor model is sensitive to anti-programmed cell death-1 (anti-PD-1) treatment. However, there is no comprehensive description of the T and B cell receptor (TCR, BCR) repertoires of the MC38 tumor model following anti-PD-1 treatment, an improved understanding of which is highly important in the development of anti-PD-1 immunotherapy. The present study analyzed the TCR and BCR repertoires of three types of tissue, including tumor, spleen and tumor draining lymph node (DLN) from 20 MC38 syngeneic mice receiving murine anti-PD-1 (mDX400) treatment or mouse immunoglobulin G1 (mIgG1) control treatment. To obtain enough tissues for high-throughput sequencing, samples were collected on day 8 after the start of initial treatment. The usage frequencies of seven TCR β chain (TRB) V genes and one TRBJ gene were significantly different between mDX400- and mIgG1-group tumors. TCR repertoire diversity was significantly lower in mDX400-group tumors compared with mIgG1-group tumors, with the top 10 most frequent TCR clonotypes notably expanded in mDX400-group tumors. In addition, the proportion of high-frequency TCR clonotypes from mDX400-group tumors that were also present both in the DLN and spleen was significantly higher than that in mIgG1-group tumors. Among the highly expanded TCR clonotypes, one TCR clonotype was consistently expanded in >50% of the mDX400-group tumors compared with mIgG1-group tumors. Similarly, one BCR clonal family was highly expanded in >50% of mDX400-group tumor samples. The consistently expanded TCR and BCR clones were co-expanded in 29% of mDX400-group tumors. Moreover, mutation rates of immunoglobulin heavy chain sequences in the spleen within complementarity determining region 2 and framework region 3 were significantly higher in the mDX400 group than in the mIgG1 group. The findings of this study may contribute to an improved understanding of the molecular mechanisms of anti-PD-1 treatment.
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Affiliation(s)
- Lu Zhang
- Merck and Co., Inc., Kenilworth, NJ 07033, USA
| | - I-Ming Wang
- Merck and Co., Inc., Kenilworth, NJ 07033, USA
| | | | | | - Gefei Zeng
- Merck and Co., Inc., Kenilworth, NJ 07033, USA
| | - Brian Long
- Merck and Co., Inc., Kenilworth, NJ 07033, USA
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38
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Gorovits B, Fiscella M, Havert M, Koren E, Long B, Milton M, Purushothama S. Correction to: Recommendations for the Development of Cell-Based Anti-Viral Vector Neutralizing Antibody Assays. AAPS J 2020; 22:42. [PMID: 32020345 DOI: 10.1208/s12248-020-0425-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The first author's name was published incorrectly as "Gorovits Boris". The correct name is "Boris Gorovits".
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Affiliation(s)
| | | | | | - Eugen Koren
- Precision for Medicine, Inc., Costa Mesa, CA, USA
| | - Brian Long
- BioMarin Pharmaceutical Inc, Novato, CA, USA
| | - Mark Milton
- Novartis Institutes for BioMedical Research, Inc., Cambridge, MA, USA
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Gorovits B, Fiscella M, Havert M, Koren E, Long B, Milton M, Purushothama S. Recommendations for the Development of Cell-Based Anti-Viral Vector Neutralizing Antibody Assays. AAPS J 2020; 22:24. [DOI: 10.1208/s12248-019-0403-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 12/03/2019] [Indexed: 12/22/2022]
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40
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Newberry R, Brown D, Mitchell T, Achay J, Rahm S, Long B, Becker T, Maddry J, Grier G, Davies G. 275 Comparison of Standard Left Anterolateral Thoracotomy vs. Modified Bilateral “Clamshell” Thoracotomy Performed by Emergency Physicians. Ann Emerg Med 2019. [DOI: 10.1016/j.annemergmed.2019.08.233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Hodge RD, Bakken TE, Miller JA, Smith KA, Barkan ER, Graybuck LT, Close JL, Long B, Johansen N, Penn O, Yao Z, Eggermont J, Höllt T, Levi BP, Shehata SI, Aevermann B, Beller A, Bertagnolli D, Brouner K, Casper T, Cobbs C, Dalley R, Dee N, Ding SL, Ellenbogen RG, Fong O, Garren E, Goldy J, Gwinn RP, Hirschstein D, Keene CD, Keshk M, Ko AL, Lathia K, Mahfouz A, Maltzer Z, McGraw M, Nguyen TN, Nyhus J, Ojemann JG, Oldre A, Parry S, Reynolds S, Rimorin C, Shapovalova NV, Somasundaram S, Szafer A, Thomsen ER, Tieu M, Quon G, Scheuermann RH, Yuste R, Sunkin SM, Lelieveldt B, Feng D, Ng L, Bernard A, Hawrylycz M, Phillips JW, Tasic B, Zeng H, Jones AR, Koch C, Lein ES. Conserved cell types with divergent features in human versus mouse cortex. Nature 2019; 573:61-68. [PMID: 31435019 PMCID: PMC6919571 DOI: 10.1038/s41586-019-1506-7] [Citation(s) in RCA: 854] [Impact Index Per Article: 170.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Accepted: 07/17/2019] [Indexed: 12/11/2022]
Abstract
Elucidating the cellular architecture of the human cerebral cortex is central to understanding our cognitive abilities and susceptibility to disease. Here we used single-nucleus RNA-sequencing analysis to perform a comprehensive study of cell types in the middle temporal gyrus of human cortex. We identified a highly diverse set of excitatory and inhibitory neuron types that are mostly sparse, with excitatory types being less layer-restricted than expected. Comparison to similar mouse cortex single-cell RNA-sequencing datasets revealed a surprisingly well-conserved cellular architecture that enables matching of homologous types and predictions of properties of human cell types. Despite this general conservation, we also found extensive differences between homologous human and mouse cell types, including marked alterations in proportions, laminar distributions, gene expression and morphology. These species-specific features emphasize the importance of directly studying human brain.
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Affiliation(s)
| | | | | | | | | | | | | | - Brian Long
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Nelson Johansen
- Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA, USA
| | - Osnat Penn
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Zizhen Yao
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jeroen Eggermont
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Thomas Höllt
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands
| | - Boaz P Levi
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Allison Beller
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | | | | | - Charles Cobbs
- The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience Institute, Seattle, WA, USA
| | | | - Nick Dee
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Richard G Ellenbogen
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, USA
| | - Olivia Fong
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Emma Garren
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jeff Goldy
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Ryder P Gwinn
- Epilepsy Surgery and Functional Neurosurgery, Swedish Neuroscience Institute, Seattle, WA, USA
| | | | - C Dirk Keene
- Department of Pathology, University of Washington, Seattle, WA, USA
| | | | - Andrew L Ko
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, USA
- Regional Epilepsy Center at Harborview Medical Center, Seattle, WA, USA
| | - Kanan Lathia
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Ahmed Mahfouz
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands
| | - Zoe Maltzer
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Medea McGraw
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Julie Nyhus
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA, USA
- Regional Epilepsy Center at Harborview Medical Center, Seattle, WA, USA
| | - Aaron Oldre
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Sheana Parry
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | | | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | - Michael Tieu
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Gerald Quon
- Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA, USA
| | - Richard H Scheuermann
- J. Craig Venter Institute, La Jolla, CA, USA
- Department of Pathology, University of California, San Diego, San Diego, CA, USA
| | - Rafael Yuste
- Neurotechnology Center, Department of Biological Sciences, Columbia University, New York, NY, USA
| | | | - Boudewijn Lelieveldt
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Intelligent Systems, Delft University of Technology, Delft, The Netherlands
| | - David Feng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, WA, USA
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, WA, USA
| | | | | | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, USA.
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Gouwens NW, Sorensen SA, Berg J, Lee C, Jarsky T, Ting J, Sunkin SM, Feng D, Anastassiou CA, Barkan E, Bickley K, Blesie N, Braun T, Brouner K, Budzillo A, Caldejon S, Casper T, Castelli D, Chong P, Crichton K, Cuhaciyan C, Daigle TL, Dalley R, Dee N, Desta T, Ding SL, Dingman S, Doperalski A, Dotson N, Egdorf T, Fisher M, de Frates RA, Garren E, Garwood M, Gary A, Gaudreault N, Godfrey K, Gorham M, Gu H, Habel C, Hadley K, Harrington J, Harris JA, Henry A, Hill D, Josephsen S, Kebede S, Kim L, Kroll M, Lee B, Lemon T, Link KE, Liu X, Long B, Mann R, McGraw M, Mihalas S, Mukora A, Murphy GJ, Ng L, Ngo K, Nguyen TN, Nicovich PR, Oldre A, Park D, Parry S, Perkins J, Potekhina L, Reid D, Robertson M, Sandman D, Schroedter M, Slaughterbeck C, Soler-Llavina G, Sulc J, Szafer A, Tasic B, Taskin N, Teeter C, Thatra N, Tung H, Wakeman W, Williams G, Young R, Zhou Z, Farrell C, Peng H, Hawrylycz MJ, Lein E, Ng L, Arkhipov A, Bernard A, Phillips JW, Zeng H, Koch C. Classification of electrophysiological and morphological neuron types in the mouse visual cortex. Nat Neurosci 2019; 22:1182-1195. [PMID: 31209381 PMCID: PMC8078853 DOI: 10.1038/s41593-019-0417-0] [Citation(s) in RCA: 219] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 04/25/2019] [Indexed: 12/21/2022]
Abstract
Understanding the diversity of cell types in the brain has been an enduring challenge and requires detailed characterization of individual neurons in multiple dimensions. To systematically profile morpho-electric properties of mammalian neurons, we established a single-cell characterization pipeline using standardized patch-clamp recordings in brain slices and biocytin-based neuronal reconstructions. We built a publicly accessible online database, the Allen Cell Types Database, to display these datasets. Intrinsic physiological properties were measured from 1,938 neurons from the adult laboratory mouse visual cortex, morphological properties were measured from 461 reconstructed neurons, and 452 neurons had both measurements available. Quantitative features were used to classify neurons into distinct types using unsupervised methods. We established a taxonomy of morphologically and electrophysiologically defined cell types for this region of the cortex, with 17 electrophysiological types, 38 morphological types and 46 morpho-electric types. There was good correspondence with previously defined transcriptomic cell types and subclasses using the same transgenic mouse lines.
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Affiliation(s)
| | | | - Jim Berg
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Changkyu Lee
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Tim Jarsky
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Jonathan Ting
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Susan M Sunkin
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - David Feng
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Eliza Barkan
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Kris Bickley
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Nicole Blesie
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Thomas Braun
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Krissy Brouner
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Agata Budzillo
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Tamara Casper
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Dan Castelli
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Peter Chong
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | | | - Tanya L Daigle
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Rachel Dalley
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Nick Dee
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Tsega Desta
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Song-Lin Ding
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Samuel Dingman
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | | | - Tom Egdorf
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Michael Fisher
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Emma Garren
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Amanda Gary
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Keith Godfrey
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Melissa Gorham
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Hong Gu
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Caroline Habel
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Kristen Hadley
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Julie A Harris
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Alex Henry
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - DiJon Hill
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Sam Josephsen
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Sara Kebede
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Lisa Kim
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Matthew Kroll
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Brian Lee
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Tracy Lemon
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Xiaoxiao Liu
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Brian Long
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Rusty Mann
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Medea McGraw
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Stefan Mihalas
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Alice Mukora
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Gabe J Murphy
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Lindsay Ng
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Kiet Ngo
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | | | - Aaron Oldre
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Daniel Park
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Sheana Parry
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Jed Perkins
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - David Reid
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - David Sandman
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | | | | | - Josef Sulc
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Aaron Szafer
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Bosiljka Tasic
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Naz Taskin
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Corinne Teeter
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Herman Tung
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Wayne Wakeman
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Grace Williams
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Rob Young
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Zhi Zhou
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Colin Farrell
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Hanchuan Peng
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Ed Lein
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Lydia Ng
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Anton Arkhipov
- Allen Institute for Brain Science, Seattle, Washington, USA
| | - Amy Bernard
- Allen Institute for Brain Science, Seattle, Washington, USA
| | | | - Hongkui Zeng
- Allen Institute for Brain Science, Seattle, Washington, USA.
| | - Christof Koch
- Allen Institute for Brain Science, Seattle, Washington, USA
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Kilts T, Long B, Glasgow A, Habermann E, Bakkum-Gamez J, Cliby W. Invasive vulvar Extramammary Paget’s Disease in the United States. Gynecol Oncol 2019. [DOI: 10.1016/j.ygyno.2019.03.236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Oosterhof F, Long B, de Vries J, Timmermans RGE, van Kolck U. Baryon-Number Violation by Two Units and the Deuteron Lifetime. Phys Rev Lett 2019; 122:172501. [PMID: 31107085 DOI: 10.1103/physrevlett.122.172501] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Indexed: 06/09/2023]
Abstract
We calculate the lifetime of the deuteron with dimension-nine quark operators that violate baryon number by two units. We construct an effective field theory for |ΔB|=2 interactions that give rise to neutron-antineutron (n-n[over ¯]) oscillations and dinucleon decay within a consistent power counting. We calculate the ratio of the deuteron lifetime to the square of the n-n[over ¯] oscillation time up to next-to-leading order. Our result, which is analytical and has a quantified uncertainty, is smaller by a factor ≃2.5 than earlier estimates based on nuclear models, which impacts the indirect bound on the n-n[over ¯] oscillation time and future experiments. We discuss how combined measurements of n-n[over ¯] oscillations and deuteron decay can help to identify the sources of baryon-number violation.
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Affiliation(s)
- F Oosterhof
- Van Swinderen Institute for Particle Physics and Gravity, University of Groningen, 9747 AG Groningen, The Netherlands
| | - B Long
- College of Physical Science and Technology, Sichuan University, Chengdu, Sichuan 610065, China
| | - J de Vries
- Amherst Center for Fundamental Interactions, Department of Physics, University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
- RIKEN BNL Research Center, Brookhaven National Laboratory, Upton, New York 11973-5000, USA
| | - R G E Timmermans
- Van Swinderen Institute for Particle Physics and Gravity, University of Groningen, 9747 AG Groningen, The Netherlands
| | - U van Kolck
- Institut de Physique Nucléaire, CNRS/IN2P3, Université Paris-Sud, Université Paris-Saclay, 91406 Orsay, France
- Department of Physics, University of Arizona, Tucson, Arizona 85721, USA
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Padrela LM, Castro-Dominguez B, Ziaee A, Long B, Ryan KM, Walker G, O'Reilly EJ. Co-crystal polymorphic control by nanodroplet and electrical confinement. CrystEngComm 2019. [DOI: 10.1039/c9ce00060g] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
The polymorphic control of the co-crystal carbamazepine–saccharin (CBZ–SAC) metastable form II was achieved by nano-droplet confinement in tandem with droplet surface charging induced by electrospraying the precursor solution.
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Affiliation(s)
- L. M. Padrela
- Synthesis and Solid State Pharmaceutical Centre (SSPC)
- Bernal Institute University of Limerick Limerick
- Limerick
- Ireland
| | | | - A. Ziaee
- Synthesis and Solid State Pharmaceutical Centre (SSPC)
- Bernal Institute University of Limerick Limerick
- Limerick
- Ireland
| | - B. Long
- Synthesis and Solid State Pharmaceutical Centre (SSPC)
- Bernal Institute University of Limerick Limerick
- Limerick
- Ireland
| | - K. M. Ryan
- Synthesis and Solid State Pharmaceutical Centre (SSPC)
- Bernal Institute University of Limerick Limerick
- Limerick
- Ireland
| | - G. Walker
- Synthesis and Solid State Pharmaceutical Centre (SSPC)
- Bernal Institute University of Limerick Limerick
- Limerick
- Ireland
| | - E. J. O'Reilly
- Synthesis and Solid State Pharmaceutical Centre (SSPC)
- Bernal Institute University of Limerick Limerick
- Limerick
- Ireland
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Kalmbach BE, Buchin A, Long B, Close J, Nandi A, Miller JA, Bakken TE, Hodge RD, Chong P, de Frates R, Dai K, Maltzer Z, Nicovich PR, Keene CD, Silbergeld DL, Gwinn RP, Cobbs C, Ko AL, Ojemann JG, Koch C, Anastassiou CA, Lein ES, Ting JT. h-Channels Contribute to Divergent Intrinsic Membrane Properties of Supragranular Pyramidal Neurons in Human versus Mouse Cerebral Cortex. Neuron 2018; 100:1194-1208.e5. [PMID: 30392798 DOI: 10.1016/j.neuron.2018.10.012] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 09/05/2018] [Accepted: 10/05/2018] [Indexed: 12/18/2022]
Abstract
Gene expression studies suggest that differential ion channel expression contributes to differences in rodent versus human neuronal physiology. We tested whether h-channels more prominently contribute to the physiological properties of human compared to mouse supragranular pyramidal neurons. Single-cell/nucleus RNA sequencing revealed ubiquitous HCN1-subunit expression in excitatory neurons in human, but not mouse, supragranular layers. Using patch-clamp recordings, we found stronger h-channel-related membrane properties in supragranular pyramidal neurons in human temporal cortex, compared to mouse supragranular pyramidal neurons in temporal association area. The magnitude of these differences depended upon cortical depth and was largest in pyramidal neurons in deep L3. Additionally, pharmacologically blocking h-channels produced a larger change in membrane properties in human compared to mouse neurons. Finally, using biophysical modeling, we provide evidence that h-channels promote the transfer of theta frequencies from dendrite-to-soma in human L3 pyramidal neurons. Thus, h-channels contribute to between-species differences in a fundamental neuronal property.
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Affiliation(s)
- Brian E Kalmbach
- Allen Institute for Brain Science, Seattle, WA 98109, USA; Department of Physiology and Biophysics, University of Washington, Seattle, WA 98195, USA.
| | - Anatoly Buchin
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Brian Long
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Jennie Close
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Anirban Nandi
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | | | | | - Peter Chong
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - Kael Dai
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Zoe Maltzer
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | | | - C Dirk Keene
- Department of Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Daniel L Silbergeld
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Ryder P Gwinn
- Epilepsy Surgery and Functional Neurosurgery, Swedish Neuroscience Institute, Seattle, WA 98122, USA
| | - Charles Cobbs
- The Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment, Swedish Neuroscience Institute, Seattle, WA 98122, USA
| | - Andrew L Ko
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA 98195, USA; Regional Epilepsy Center at Harborview Medical Center, Seattle, WA 98104, USA
| | - Jeffrey G Ojemann
- Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA 98195, USA; Regional Epilepsy Center at Harborview Medical Center, Seattle, WA 98104, USA
| | - Christof Koch
- Allen Institute for Brain Science, Seattle, WA 98109, USA
| | - Costas A Anastassiou
- Allen Institute for Brain Science, Seattle, WA 98109, USA; Department of Neurology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA 98109, USA; Department of Neurological Surgery, University of Washington School of Medicine, Seattle, WA 98195, USA
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47
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Cover M, Tafoya C, Long B, Cranford J, Burkhardt J, Wallace C, Theyyunni N, Bassin B, Lowell M, Kessler R. 211 Critical Care Ultrasound Performed by Non-Physician Providers Changes Out-of-Hospital Management. Ann Emerg Med 2018. [DOI: 10.1016/j.annemergmed.2018.08.216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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48
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Hruza A, Boga SB, Alhassan AB, Cooper AB, Doll R, Shih NY, Shipps G, Deng Y, Zhu H, Nan Y, Sun R, Zhu L, Desai J, Patel M, Muppalla K, Gao X, Wang J, Kelly J, Gudipati S, Paliwal S, Tsui HC, Wang T, Sherborne B, Xiao L, Buevich A, Hesk D, Samatar AA, Carr D, Long B, Black S, Dayananth P, Windsor W, Kirschmeier P, Bishop R. Structure-based drug design of clinical compound MK-8353, a novel inhibitor of ERK. Acta Crystallogr A Found Adv 2018. [DOI: 10.1107/s0108767318098021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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49
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Boga SB, Deng Y, Zhu L, Nan Y, Cooper AB, Shipps GW, Doll R, Shih NY, Zhu H, Sun R, Wang T, Paliwal S, Tsui HC, Gao X, Yao X, Desai J, Wang J, Alhassan AB, Kelly J, Patel M, Muppalla K, Gudipati S, Zhang LK, Buevich A, Hesk D, Carr D, Dayananth P, Black S, Mei H, Cox K, Sherborne B, Hruza AW, Xiao L, Jin W, Long B, Liu G, Taylor SA, Kirschmeier P, Windsor WT, Bishop R, Samatar AA. MK-8353: Discovery of an Orally Bioavailable Dual Mechanism ERK Inhibitor for Oncology. ACS Med Chem Lett 2018; 9:761-767. [PMID: 30034615 DOI: 10.1021/acsmedchemlett.8b00220] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2018] [Accepted: 06/14/2018] [Indexed: 12/11/2022] Open
Abstract
The emergence and evolution of new immunological cancer therapies has sparked a rapidly growing interest in discovering novel pathways to treat cancer. Toward this aim, a novel series of pyrrolidine derivatives (compound 5) were identified as potent inhibitors of ERK1/2 with excellent kinase selectivity and dual mechanism of action but suffered from poor pharmacokinetics (PK). The challenge of PK was overcome by the discovery of a novel 3(S)-thiomethyl pyrrolidine analog 7. Lead optimization through focused structure-activity relationship led to the discovery of a clinical candidate MK-8353 suitable for twice daily oral dosing as a potential new cancer therapeutic.
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Affiliation(s)
- Sobhana Babu Boga
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Yongqi Deng
- Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
| | - Liang Zhu
- Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
| | - Yang Nan
- Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
| | - Alan B. Cooper
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Gerald W. Shipps
- Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
| | - Ronald Doll
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Neng-Yang Shih
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Hugh Zhu
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Robert Sun
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Tong Wang
- Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
| | - Sunil Paliwal
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Hon-Chung Tsui
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Xiaolei Gao
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Xin Yao
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Jagdish Desai
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - James Wang
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Abdul Basit Alhassan
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Joseph Kelly
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Mehul Patel
- Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
| | - Kiran Muppalla
- Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States
| | - Subrahmanyam Gudipati
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Li-Kang Zhang
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Alexei Buevich
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - David Hesk
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Donna Carr
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Priya Dayananth
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Stuart Black
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Hong Mei
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Kathleen Cox
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Bradley Sherborne
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Alan W. Hruza
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Li Xiao
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Weihong Jin
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Brian Long
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Gongjie Liu
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Stacey A. Taylor
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Paul Kirschmeier
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - William T. Windsor
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Robert Bishop
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
| | - Ahmed A. Samatar
- Merck & Co., Inc., 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States
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50
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Boga SB, Alhassan AB, Cooper AB, Doll R, Shih NY, Shipps G, Deng Y, Zhu H, Nan Y, Sun R, Zhu L, Desai J, Patel M, Muppalla K, Gao X, Wang J, Yao X, Kelly J, Gudipati S, Paliwal S, Tsui HC, Wang T, Sherborne B, Xiao L, Hruza A, Buevich A, Zhang LK, Hesk D, Samatar AA, Carr D, Long B, Black S, Dayananth P, Windsor W, Kirschmeier P, Bishop R. Discovery of 3(S)-thiomethyl pyrrolidine ERK inhibitors for oncology. Bioorg Med Chem Lett 2018; 28:2029-2034. [PMID: 29748051 DOI: 10.1016/j.bmcl.2018.04.063] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Revised: 04/10/2018] [Accepted: 04/25/2018] [Indexed: 10/17/2022]
Abstract
Compound 5 (SCH772984) was identified as a potent inhibitor of ERK1/2 with excellent selectivity against a panel of kinases (0/231 kinases tested @ 100 nM) and good cell proliferation activity, but suffered from poor PK (rat AUC PK @10 mpk = 0 μM h; F% = 0) which precluded further development. In an effort to identify novel ERK inhibitors with improved PK properties with respect to 5, a systematic exploration of sterics and composition at the 3-position of the pyrrolidine led to the discovery of a novel 3(S)-thiomethyl pyrrolidine analog 28 with vastly improved PK (rat AUC PK @10 mpk = 26 μM h; F% = 70).
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Affiliation(s)
- Sobhana Babu Boga
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States.
| | - Abdul-Basit Alhassan
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Alan B Cooper
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Ronald Doll
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Neng-Yang Shih
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Gerald Shipps
- Discovery Chemistry, Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, MA 02115, United States
| | - Yongqi Deng
- Discovery Chemistry, Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, MA 02115, United States
| | - Hugh Zhu
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Yang Nan
- Discovery Chemistry, Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, MA 02115, United States
| | - Robert Sun
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Liang Zhu
- Discovery Chemistry, Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, MA 02115, United States
| | - Jagdish Desai
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Mehul Patel
- Discovery Chemistry, Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, MA 02115, United States
| | - Kiran Muppalla
- Discovery Chemistry, Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, MA 02115, United States
| | - Xiaolei Gao
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - James Wang
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Xin Yao
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Joseph Kelly
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Subrahmanyam Gudipati
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Sunil Paliwal
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Hon-Chung Tsui
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Tong Wang
- Discovery Chemistry, Merck & Co., Inc., 33 Avenue Louis Pasteur, Boston, MA 02115, United States
| | - Bradley Sherborne
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Li Xiao
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Alan Hruza
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Alexei Buevich
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Li-Kang Zhang
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - David Hesk
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Ahmed A Samatar
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Donna Carr
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Brian Long
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Stuart Black
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Priya Dayananth
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - William Windsor
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Paul Kirschmeier
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
| | - Robert Bishop
- Discovery Chemistry, Merck & Co., Inc., 2015 Galloping Hill Rd, Kenilworth, NJ 07033, United States
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