1
|
Pan X, Huang W, Nie G, Wang C, Wang H. Ultrasound-Sensitive Intelligent Nanosystems: A Promising Strategy for the Treatment of Neurological Diseases. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2303180. [PMID: 37871967 DOI: 10.1002/adma.202303180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 09/26/2023] [Indexed: 10/25/2023]
Abstract
Neurological diseases are a major global health challenge, affecting hundreds of millions of people worldwide. Ultrasound therapy plays an irreplaceable role in the treatment of neurological diseases due to its noninvasive, highly focused, and strong tissue penetration capabilities. However, the complexity of brain and nervous system and the safety risks associated with prolonged exposure to ultrasound therapy severely limit the applicability of ultrasound therapy. Ultrasound-sensitive intelligent nanosystems (USINs) are a novel therapeutic strategy for neurological diseases that bring greater spatiotemporal controllability and improve safety to overcome these challenges. This review provides a detailed overview of therapeutic strategies and clinical advances of ultrasound in neurological diseases, focusing on the potential of USINs-based ultrasound in the treatment of neurological diseases. Based on the physical and chemical effects induced by ultrasound, rational design of USINs is a prerequisite for improving the efficacy of ultrasound therapy. Recent developments of ultrasound-sensitive nanocarriers and nanoagents are systemically reviewed. Finally, the challenges and developing prospects of USINs are discussed in depth, with a view to providing useful insights and guidance for efficient ultrasound treatment of neurological diseases.
Collapse
Affiliation(s)
- Xueting Pan
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
| | - Wenping Huang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Guangjun Nie
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Changyong Wang
- Beijing Institute of Basic Medical Sciences, 27 Taiping Road, Beijing, 100850, China
| | - Hai Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials & Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, China
- School of Nanoscience and Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China
| |
Collapse
|
2
|
Bomsztyk K, Mar D, Denisenko O, Powell S, Vishnoi M, Delegard J, Patel A, Ellenbogen RG, Ramakrishna R, Rostomily R. Analysis of gliomas DNA methylation: Assessment of pre-analytical variables. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.26.586350. [PMID: 38586048 PMCID: PMC10996653 DOI: 10.1101/2024.03.26.586350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Precision oncology is driven by molecular biomarkers. For glioblastoma multiforme (GBM), the most common malignant adult primary brain tumor, O6-methylguanine-DNA methyltransferase ( MGMT ) gene DNA promoter methylation is an important prognostic and treatment clinical biomarker. Time consuming pre-analytical steps such as biospecimen storage before fixing, sampling, and processing are major sources of errors and batch effects, that are further confounded by intra-tumor heterogeneity of MGMT promoter methylation. To assess the effect of pre-analytical variables on GBM DNA methylation, tissue storage/sampling (CryoGrid), sample preparation multi-sonicator (PIXUL) and 5-methylcytosine (5mC) DNA immunoprecipitation (Matrix MeDIP-qPCR/seq) platforms were used. MGMT promoter CpG methylation was examined in 173 surgical samples from 90 individuals, 50 of these were used for intra-tumor heterogeneity studies. MGMT promoter methylation levels in paired frozen and formalin fixed paraffin embedded (FFPE) samples were very close, confirming suitability of FFPE for MGMT promoter methylation analysis in clinical settings. Matrix MeDIP-qPCR yielded similar results to methylation specific PCR (MS-PCR). Warm ex-vivo ischemia (37°C up to 4hrs) and 3 cycles of repeated sample thawing and freezing did not alter 5mC levels at MGMT promoter, exon and upstream enhancer regions, demonstrating the resistance of DNA methylation to the most common variations in sample processing conditions that might be encountered in research and clinical settings. 20-30% of specimens exhibited intratumor heterogeneity in the MGMT DNA promoter methylation. Collectively these data demonstrate that variations in sample fixation, ischemia duration and temperature, and DNA methylation assay technique do not have significant impact on assessment of MGMT promoter methylation status. However, intratumor methylation heterogeneity underscores the need for histologic verification and value of multiple biopsies at different GBM geographic tumor sites in assessment of MGMT promoter methylation. Matrix-MeDIP-seq analysis revealed that MGMT promoter methylation status clustered with other differentially methylated genomic loci (e.g. HOXA and lncRNAs), that are likewise resilient to variation in above post-resection pre-analytical conditions. These MGMT -associated global DNA methylation patterns offer new opportunities to validate more granular data-based epigenetic GBM clinical biomarkers where the CryoGrid-PIXUL-Matrix toolbox could prove to be useful.
Collapse
|
3
|
Chang MY, Chan CK, Brune JE, Manicone AM, Bomsztyk K, Frevert CW, Altemeier WA. Regulation of Versican Expression in Macrophages is Mediated by Canonical Type I Interferon Signaling via ISGF3. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.14.585097. [PMID: 38559011 PMCID: PMC10980001 DOI: 10.1101/2024.03.14.585097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Growing evidence supports a role for versican as an important component of the inflammatory response, with both pro- and anti-inflammatory roles depending on the specific context of the system or disease under investigation. Our goal is to understand the regulation of macrophage-derived versican and the role it plays in innate immunity. In previous work, we showed that LPS triggers a signaling cascade involving TLR4, the Trif adaptor, type I interferons, and the type I interferon receptor, leading to increased versican expression by macrophages. In the present study, we used a combination of chromatin immunoprecipitation, siRNA, chemical inhibitors, and mouse model approaches to investigate the regulatory events downstream of the type I interferon receptor to better define the mechanism controlling versican expression. Results indicate that transcriptional regulation by canonical type I interferon signaling via the heterotrimeric transcription factor, ISGF3, controls versican expression in macrophages exposed to LPS. This pathway is not dependent on MAPK signaling, which has been shown to regulate versican expression in other cell types. The stability of versican mRNA may also contribute to prolonged versican expression in macrophages. These findings strongly support a role for macrophage-derived versican as a type I interferon-stimulated gene and further our understanding of versican's role in regulating inflammation.
Collapse
Affiliation(s)
- Mary Y. Chang
- Department of Comparative Medicine, University of Washington, Seattle, WA
- Center for Lung Biology, University of Washington at South Lake Union, Seattle, WA
| | - Christina K. Chan
- Department of Comparative Medicine, University of Washington, Seattle, WA
- Center for Lung Biology, University of Washington at South Lake Union, Seattle, WA
| | - Jourdan E. Brune
- Department of Comparative Medicine, University of Washington, Seattle, WA
- Center for Lung Biology, University of Washington at South Lake Union, Seattle, WA
| | - Anne M. Manicone
- Center for Lung Biology, University of Washington at South Lake Union, Seattle, WA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA
| | - Karol Bomsztyk
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA
| | - Charles W. Frevert
- Department of Comparative Medicine, University of Washington, Seattle, WA
- Center for Lung Biology, University of Washington at South Lake Union, Seattle, WA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA
| | - William A. Altemeier
- Center for Lung Biology, University of Washington at South Lake Union, Seattle, WA
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA
| |
Collapse
|
4
|
Lei Z, Pang X, Li L, Mei Q, Dong W. [Development of a high intensity focused ultrasound device for bio-samples preparation]. SHENG WU YI XUE GONG CHENG XUE ZA ZHI = JOURNAL OF BIOMEDICAL ENGINEERING = SHENGWU YIXUE GONGCHENGXUE ZAZHI 2024; 41:152-159. [PMID: 38403616 PMCID: PMC10894731 DOI: 10.7507/1001-5515.202304061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
A miniaturized, low-cost high-intensity focused ultrasound device is developed for the problems of cross-contamination and uneven sample fragmentation in conventional ultrasound devices. This device generates ultrasonic waves through a concave spherical self-focusing piezoelectric ceramic piece, and creates a cavitation effect in the focusing area to achieve sample fragmentation. The feasibility of the device is demonstrated by physical simulation, then a driving circuit with adjustable power is designed and manufactured to generate 0 ~ 22.4 W acoustic power, and finally paraffin-embedded sample dewaxing experiments are performed to verify the validation of the device. The experimental results show that the dewaxing efficiency and safety of the high-intensity focused ultrasound device is significantly better than those of traditional chemical methods, and this device is comparable with commercial ultrasonic instruments. In summary, the high-intensity focused ultrasound device is expected to be applied in automated nucleic acid extraction and purification equipment and has a broad application prospect in the field of sample pre-processing.
Collapse
Affiliation(s)
- Zhubing Lei
- School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou, Jiangsu 215163, P. R. China
| | - Xinpei Pang
- School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou, Jiangsu 215163, P. R. China
| | - Li Li
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, P. R. China
| | - Qian Mei
- School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou, Jiangsu 215163, P. R. China
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, P. R. China
| | - Wenfei Dong
- School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou, Jiangsu 215163, P. R. China
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, P. R. China
| |
Collapse
|
5
|
Mar D, Babenko IM, Zhang R, Noble WS, Denisenko O, Vaisar T, Bomsztyk K. A High-Throughput PIXUL-Matrix-Based Toolbox to Profile Frozen and Formalin-Fixed Paraffin-Embedded Tissues Multiomes. J Transl Med 2024; 104:100282. [PMID: 37924947 PMCID: PMC10872585 DOI: 10.1016/j.labinv.2023.100282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/23/2023] [Accepted: 10/27/2023] [Indexed: 11/06/2023] Open
Abstract
Large-scale high-dimensional multiomics studies are essential to unravel molecular complexity in health and disease. We developed an integrated system for tissue sampling (CryoGrid), analytes preparation (PIXUL), and downstream multiomic analysis in a 96-well plate format (Matrix), MultiomicsTracks96, which we used to interrogate matched frozen and formalin-fixed paraffin-embedded (FFPE) mouse organs. Using this system, we generated 8-dimensional omics data sets encompassing 4 molecular layers of intracellular organization: epigenome (H3K27Ac, H3K4m3, RNA polymerase II, and 5mC levels), transcriptome (messenger RNA levels), epitranscriptome (m6A levels), and proteome (protein levels) in brain, heart, kidney, and liver. There was a high correlation between data from matched frozen and FFPE organs. The Segway genome segmentation algorithm applied to epigenomic profiles confirmed known organ-specific superenhancers in both FFPE and frozen samples. Linear regression analysis showed that proteomic profiles, known to be poorly correlated with transcriptomic data, can be more accurately predicted by the full suite of multiomics data, compared with using epigenomic, transcriptomic, or epitranscriptomic measurements individually.
Collapse
Affiliation(s)
- Daniel Mar
- UW Medicine South Lake Union, University of Washington, Seattle, Washington; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington
| | - Ilona M Babenko
- Diabetes Institute, University of Washington, Seattle, Washington
| | - Ran Zhang
- Department of Genome Sciences, University of Washington, Seattle, Washington
| | - William Stafford Noble
- Department of Genome Sciences, University of Washington, Seattle, Washington; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington
| | - Oleg Denisenko
- UW Medicine South Lake Union, University of Washington, Seattle, Washington
| | - Tomas Vaisar
- Diabetes Institute, University of Washington, Seattle, Washington
| | - Karol Bomsztyk
- UW Medicine South Lake Union, University of Washington, Seattle, Washington; Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington; Matchstick Technologies, Inc, Kirkland, Washington.
| |
Collapse
|
6
|
Schactler SA, Scheuerman SJ, Lius A, Altemeier WA, An D, Matula TJ, Mikula M, Kulecka M, Denisenko O, Mar D, Bomsztyk K. CryoGrid-PIXUL-RNA: high throughput RNA isolation platform for tissue transcript analysis. BMC Genomics 2023; 24:446. [PMID: 37553584 PMCID: PMC10408117 DOI: 10.1186/s12864-023-09527-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 07/20/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Disease molecular complexity requires high throughput workflows to map disease pathways through analysis of vast tissue repositories. Great progress has been made in tissue multiomics analytical technologies. To match the high throughput of these advanced analytical platforms, we have previously developed a multipurpose 96-well microplate sonicator, PIXUL, that can be used in multiple workflows to extract analytes from cultured cells and tissue fragments for various downstream molecular assays. And yet, the sample preparation devices, such as PIXUL, along with the downstream multiomics analytical capabilities have not been fully exploited to interrogate tissues because storing and sampling of such biospecimens remain, in comparison, inefficient. RESULTS To mitigate this tissue interrogation bottleneck, we have developed a low-cost user-friendly system, CryoGrid, to catalog, cryostore and sample tissue fragments. TRIzol is widely used to isolate RNA but it is labor-intensive, hazardous, requires fume-hoods, and is an expensive reagent. Columns are also commonly used to extract RNA but they involve many steps, are prone to human errors, and are also expensive. Both TRIzol and column protocols use test tubes. We developed a microplate PIXUL-based TRIzol-free and column-free RNA isolation protocol that uses a buffer containing proteinase K (PK buffer). We have integrated the CryoGrid system with PIXUL-based PK buffer, TRIzol, and PureLink column methods to isolate RNA for gene-specific qPCR and genome-wide transcript analyses. CryoGrid-PIXUL, when integrated with either PK buffer, TRIzol or PureLink column RNA isolation protocols, yielded similar transcript profiles in frozen organs (brain, heart, kidney and liver) from a mouse model of sepsis. CONCLUSIONS RNA isolation using the CryoGrid-PIXUL system combined with the 96-well microplate PK buffer method offers an inexpensive user-friendly high throughput workflow to study transcriptional responses in tissues in health and disease as well as in therapeutic interventions.
Collapse
Affiliation(s)
- Scott A Schactler
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Stephen J Scheuerman
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Andrea Lius
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, 98109, USA
| | - William A Altemeier
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
- Center for Lung Biology, University of Washington, Seattle, WA, 98109, USA
| | - Dowon An
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
- Center for Lung Biology, University of Washington, Seattle, WA, 98109, USA
| | - Thomas J Matula
- Center for Industrial and Medical Ultrasound, Applied Physics Laboratory, University of Washington, Seattle, WA, 98195, USA
- Matchstick Technologies, Inc, Kirkland, WA, 98033, USA
| | - Michal Mikula
- Department of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781, Warsaw, Poland
| | - Maria Kulecka
- Department of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781, Warsaw, Poland
- Department of Gastroenterology, Hepatology and Clinical Oncology, Centre for Postgraduate Medical Education, 01-813, Warsaw, Poland
| | - Oleg Denisenko
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
| | - Daniel Mar
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Karol Bomsztyk
- UW Medicine South Lake Union, University of Washington, Seattle, WA, 98109, USA.
- Institute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, 98109, USA.
- Matchstick Technologies, Inc, Kirkland, WA, 98033, USA.
| |
Collapse
|
7
|
Mar D, Babenko IM, Zhang R, Noble WS, Denisenko O, Vaisar T, Bomsztyk K. MultiomicsTracks96: A high throughput PIXUL-Matrix-based toolbox to profile frozen and FFPE tissues multiomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.16.533031. [PMID: 36993219 PMCID: PMC10055122 DOI: 10.1101/2023.03.16.533031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Background The multiome is an integrated assembly of distinct classes of molecules and molecular properties, or "omes," measured in the same biospecimen. Freezing and formalin-fixed paraffin-embedding (FFPE) are two common ways to store tissues, and these practices have generated vast biospecimen repositories. However, these biospecimens have been underutilized for multi-omic analysis due to the low throughput of current analytical technologies that impede large-scale studies. Methods Tissue sampling, preparation, and downstream analysis were integrated into a 96-well format multi-omics workflow, MultiomicsTracks96. Frozen mouse organs were sampled using the CryoGrid system, and matched FFPE samples were processed using a microtome. The 96-well format sonicator, PIXUL, was adapted to extract DNA, RNA, chromatin, and protein from tissues. The 96-well format analytical platform, Matrix, was used for chromatin immunoprecipitation (ChIP), methylated DNA immunoprecipitation (MeDIP), methylated RNA immunoprecipitation (MeRIP), and RNA reverse transcription (RT) assays followed by qPCR and sequencing. LC-MS/MS was used for protein analysis. The Segway genome segmentation algorithm was used to identify functional genomic regions, and linear regressors based on the multi-omics data were trained to predict protein expression. Results MultiomicsTracks96 was used to generate 8-dimensional datasets including RNA-seq measurements of mRNA expression; MeRIP-seq measurements of m6A and m5C; ChIP-seq measurements of H3K27Ac, H3K4m3, and Pol II; MeDIP-seq measurements of 5mC; and LC-MS/MS measurements of proteins. We observed high correlation between data from matched frozen and FFPE organs. The Segway genome segmentation algorithm applied to epigenomic profiles (ChIP-seq: H3K27Ac, H3K4m3, Pol II; MeDIP-seq: 5mC) was able to recapitulate and predict organ-specific super-enhancers in both FFPE and frozen samples. Linear regression analysis showed that proteomic expression profiles can be more accurately predicted by the full suite of multi-omics data, compared to using epigenomic, transcriptomic, or epitranscriptomic measurements individually. Conclusions The MultiomicsTracks96 workflow is well suited for high dimensional multi-omics studies - for instance, multiorgan animal models of disease, drug toxicities, environmental exposure, and aging as well as large-scale clinical investigations involving the use of biospecimens from existing tissue repositories.
Collapse
|
8
|
Barnabas G, Goebeler V, Tsui J, Bush JW, Lange PF. ASAP─Automated Sonication-Free Acid-Assisted Proteomes─from Cells and FFPE Tissues. Anal Chem 2023; 95:3291-3299. [PMID: 36724070 PMCID: PMC9933881 DOI: 10.1021/acs.analchem.2c04264] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 01/17/2023] [Indexed: 02/02/2023]
Abstract
Formalin-fixed, paraffin-embedded (FFPE) tissues are an invaluable resource for retrospective studies, but protein extraction and subsequent sample processing steps have been shown to be challenging for mass spectrometry (MS) analysis. Streamlined high-throughput sample preparation workflows are essential for efficient peptide extraction from complex clinical specimens such as fresh frozen tissues or FFPE. Overall, proteome analysis has gained significant improvements in the instrumentation, acquisition methods, sample preparation workflows, and analysis pipelines, yet even the most recent FFPE workflows remain complex and are not readily scalable. Here, we present an optimized workflow for automated sonication-free acid-assisted proteome (ASAP) extraction from FFPE sections. ASAP enables efficient protein extraction from FFPE specimens, achieving similar proteome coverage as established methods using expensive sonicators, resulting in reduced sample processing time. The broad applicability of ASAP on archived pediatric tumor FFPE specimens resulted in high-quality data with increased proteome coverage and quantitative reproducibility. Our study demonstrates the practicality and superiority of the ASAP workflow as a streamlined, time- and cost-effective pipeline for high-throughput FFPE proteomics of clinical specimens.
Collapse
Affiliation(s)
- Georgina
D. Barnabas
- Department
of Pathology, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Michael
Cuccione Childhood Cancer Research Program, BC Children’s Hospital and Research Institute, Vancouver, British Columbia V5Z 4H4, Canada
| | - Verena Goebeler
- Department
of Pediatrics, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Michael
Cuccione Childhood Cancer Research Program, BC Children’s Hospital and Research Institute, Vancouver, British Columbia V5Z 4H4, Canada
| | - Janice Tsui
- Department
of Pathology, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Michael
Cuccione Childhood Cancer Research Program, BC Children’s Hospital and Research Institute, Vancouver, British Columbia V5Z 4H4, Canada
| | - Jonathan W. Bush
- Department
of Pathology, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Philipp F. Lange
- Department
of Pathology, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
- Michael
Cuccione Childhood Cancer Research Program, BC Children’s Hospital and Research Institute, Vancouver, British Columbia V5Z 4H4, Canada
| |
Collapse
|
9
|
An automated system for nucleic acid extraction from formalin-fixed paraffin-embedded samples using high intensity focused ultrasound technology. Anal Bioanal Chem 2022; 414:8201-8213. [PMID: 36260128 DOI: 10.1007/s00216-022-04360-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/19/2022] [Accepted: 09/26/2022] [Indexed: 11/01/2022]
Abstract
Formalin-fixed paraffin-embedded (FFPE) tissue samples are routinely used in prospective and retrospective studies. It is crucial to obtain high-quality nucleic acid (NA) from FFPE samples for downstream molecular analysis, such as quantitative polymerase chain reaction (PCR), Sanger sequencing, next-generation sequencing, and microarray, in both clinical diagnosis and basic research. The current NA extraction methods from FFPE samples using chemical solvent are tedious, environmentally unfriendly, and unamenable to automation or field deployment. We present a tool for NA extraction from FFPE samples using a high-intensity focused ultrasound (HIFU) technology. A cartridge strip containing reagents for FFPE sample deparaffinization and NA extraction and purification is operated by an automation tool consisting of a HIFU module, a liquid handling robot unit, and accessories including a thermal block and magnets. The HIFU module is a single concaved piezoelectric ceramic plate driven by a current-mode class-D power amplifier. Based on the ultrasonic cavitation effects, the HIFU module provides highly concentrated energy introducing paraffin emulsification and disintegration. The high quantity and quality of NA extracted using the reported system are evaluated by PCR and compared with the quantity and quality of NA extracted using the current standard methods.
Collapse
|
10
|
Qiao Y, Ma Z, Onyango C, Cheng X, Dorfman KD. DNA fragmentation in a steady shear flow. BIOMICROFLUIDICS 2022; 16:054109. [PMID: 36313190 PMCID: PMC9616606 DOI: 10.1063/5.0109361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
We have determined the susceptibility of T4 DNA (166 kilobase pairs, kbp) to fragmentation under steady shear in a cone-and-plate rheometer. After shearing for at least 30 min at a shear rate of 6000 s - 1 , corresponding to a Reynolds number of O ( 10 3 ) and a Weissenberg number of O ( 10 3 ) , 97.9 ± 1.3 % of the sample is broken into a polydisperse mixture with a number-averaged molecular weight of 62.6 ± 3.2 kbp and a polydispersity index of 1.29 ± 0.03 , as measured by pulsed-field gel electrophoresis (with a 95% confidence interval). The molecular weight distributions observed here from a shear flow are similar to those produced by a (dominantly extensional) sink flow of DNA and are qualitatively different than the midpoint scission observed in simple extensional flow. Given the inability of shear flow to produce a sharp coil-stretch transition, the data presented here support a model where polymers can be fragmented in flow without complete extension. These results further indicate that DNA fragmentation by shear is unlikely to be a significant issue in microfluidic devices, and anomalous molecular weight observations in experiments are due to DNA processing prior to observation in the device.
Collapse
Affiliation(s)
- Yiming Qiao
- Department of Chemical Engineering and Materials Science, University of Minnesota, Twin Cities, 421 Washington Ave SE, Minneapolis, Minnesota 55455, USA
| | - Zixue Ma
- Department of Chemical Engineering and Materials Science, University of Minnesota, Twin Cities, 421 Washington Ave SE, Minneapolis, Minnesota 55455, USA
| | - Clive Onyango
- Department of Chemical Engineering and Materials Science, University of Minnesota, Twin Cities, 421 Washington Ave SE, Minneapolis, Minnesota 55455, USA
| | - Xiang Cheng
- Department of Chemical Engineering and Materials Science, University of Minnesota, Twin Cities, 421 Washington Ave SE, Minneapolis, Minnesota 55455, USA
| | - Kevin D. Dorfman
- Department of Chemical Engineering and Materials Science, University of Minnesota, Twin Cities, 421 Washington Ave SE, Minneapolis, Minnesota 55455, USA
| |
Collapse
|
11
|
Levy S, Somasundaram L, Raj IX, Ic-Mex D, Phal A, Schmidt S, Ng WI, Mar D, Decarreau J, Moss N, Alghadeer A, Honkanen H, Sarthy J, Vitanza N, Hawkins RD, Mathieu J, Wang Y, Baker D, Bomsztyk K, Ruohola-Baker H. dCas9 fusion to computer-designed PRC2 inhibitor reveals functional TATA box in distal promoter region. Cell Rep 2022; 38:110457. [PMID: 35235780 PMCID: PMC8984963 DOI: 10.1016/j.celrep.2022.110457] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 11/23/2021] [Accepted: 02/08/2022] [Indexed: 11/18/2022] Open
Abstract
Bifurcation of cellular fates, a critical process in development, requires histone 3 lysine 27 methylation (H3K27me3) marks propagated by the polycomb repressive complex 2 (PRC2). However, precise chromatin loci of functional H3K27me3 marks are not yet known. Here, we identify critical PRC2 functional sites at high resolution. We fused a computationally designed protein, EED binder (EB), which competes with EZH2 and thereby inhibits PRC2 function, to dCas9 (EBdCas9) to allow for PRC2 inhibition at a precise locus using gRNA. Targeting EBdCas9 to four different genes (TBX18, p16, CDX2, and GATA3) results in precise H3K27me3 and EZH2 reduction, gene activation, and functional outcomes in the cell cycle (p16) or trophoblast transdifferentiation (CDX2 and GATA3). In the case of TBX18, we identify a PRC2-controlled, functional TATA box >500 bp upstream of the TBX18 transcription start site (TSS) using EBdCas9. Deletion of this TATA box eliminates EBdCas9-dependent TATA binding protein (TBP) recruitment and transcriptional activation. EBdCas9 technology may provide a broadly applicable tool for epigenomic control of gene regulation. Levy et al. fused a computationally designed protein, EED binder (EB), which competes with EZH2 and thereby inhibits PRC2 function, to dCas9 (EBdCas9). EBdCas9 represses PRC2 action in precise loci, remodels epigenomic marks, exposes transcriptional elements, and induces transdifferentiation.
Collapse
Affiliation(s)
- Shiri Levy
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA
| | - Logeshwaran Somasundaram
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA
| | - Infencia Xavier Raj
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA
| | - Diego Ic-Mex
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA
| | - Ashish Phal
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Bioengineering, University of Washington, School of Medicine, Seattle, WA 98105, USA
| | - Sven Schmidt
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA
| | - Weng I Ng
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA
| | - Daniel Mar
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Medicine, Division of Allergy and Infectious Disease, University of Washington, Seattle, WA 98195, USA
| | - Justin Decarreau
- Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
| | - Nicholas Moss
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Division of Medical Genetics, Department of Medicine, University of Washington, School of Medicine, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Ammar Alghadeer
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Oral Health Sciences, University of Washington, School of Dentistry, Seattle, WA 98109, USA; Department of Biomedical Dental Sciences, Imam Abdulrahman Bin Faisal University, College of Dentistry, Dammam 31441, Saudi Arabia
| | - Henrik Honkanen
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA
| | - Jay Sarthy
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Cancer and Blood Disorder Center, Seattle Children's Hospital, Seattle, WA 98105, USA
| | - Nicholas Vitanza
- The Ben Towne Center for Childhood Cancer Research, Seattle Children's Research Institute, Seattle, WA, USA; Division of Pediatric Hematology/Oncology, Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - R David Hawkins
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Division of Medical Genetics, Department of Medicine, University of Washington, School of Medicine, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Julie Mathieu
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Comparative Medicine, University of Washington, Seattle, WA 98195, USA
| | - Yuliang Wang
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA
| | - David Baker
- Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA
| | - Karol Bomsztyk
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Medicine, Division of Allergy and Infectious Disease, University of Washington, Seattle, WA 98195, USA
| | - Hannele Ruohola-Baker
- Institute for Stem Cell and Regenerative Medicine, University of Washington, School of Medicine, Seattle, WA 98109, USA; Department of Biochemistry, University of Washington, School of Medicine, Seattle, WA 98195, USA; Department of Bioengineering, University of Washington, School of Medicine, Seattle, WA 98105, USA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA; Department of Oral Health Sciences, University of Washington, School of Dentistry, Seattle, WA 98109, USA.
| |
Collapse
|
12
|
Holmes HR, Haywood M, Hutchison R, Zhang Q, Edsall C, Hall TL, Baisch D, Holliday J, Vlaisavljevich E. Focused ultrasound extraction (FUSE) for the rapid extraction of DNA from tissue matrices. Methods Ecol Evol 2020. [DOI: 10.1111/2041-210x.13505] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Hal R. Holmes
- Department of Biomedical Engineering and Mechanics Virginia Polytechnic Institute and State University Blacksburg VA USA
- Conservation X Labs Seattle WA USA
| | - Morgan Haywood
- Department of Biomedical Engineering and Mechanics Virginia Polytechnic Institute and State University Blacksburg VA USA
| | - Ruby Hutchison
- Department of Biomedical Engineering and Mechanics Virginia Polytechnic Institute and State University Blacksburg VA USA
| | - Qian Zhang
- Department of Forest Resources and Environmental Conservation Virginia Polytechnic Institute and State University Blacksburg VA USA
| | - Connor Edsall
- Department of Biomedical Engineering and Mechanics Virginia Polytechnic Institute and State University Blacksburg VA USA
| | - Timothy L. Hall
- Department of Biomedical Engineering University of Michigan Ann Arbor MI USA
| | | | - Jason Holliday
- Department of Forest Resources and Environmental Conservation Virginia Polytechnic Institute and State University Blacksburg VA USA
| | - Eli Vlaisavljevich
- Department of Biomedical Engineering and Mechanics Virginia Polytechnic Institute and State University Blacksburg VA USA
- Center for Engineered Health, Virginia Tech Institute for Critical Technology and Applied Science Blacksburg VA USA
| |
Collapse
|
13
|
Bomsztyk K, Wang Y. Genome-bound enzymes as epigenetic drug targets in cancer. Epigenomics 2019; 11:1463-1467. [PMID: 31536377 DOI: 10.2217/epi-2019-0197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- Karol Bomsztyk
- UW Medicine South Lake Union, University of Washington, Seattle, WA 98109, USA.,Institute for Stem Cell & Regenerative Medicine, University of Washington, Seattle, WA 98109, USA
| | - Yuliang Wang
- Institute for Stem Cell & Regenerative Medicine, University of Washington, Seattle, WA 98109, USA.,Paul G Allen School of Computer Science & Engineering, University of Washington, WA 98195, USA
| |
Collapse
|
14
|
Kanter JE, Shao B, Kramer F, Barnhart S, Shimizu-Albergine M, Vaisar T, Graham MJ, Crooke RM, Manuel CR, Haeusler RA, Mar D, Bomsztyk K, Hokanson JE, Kinney GL, Snell-Bergeon JK, Heinecke JW, Bornfeldt KE. Increased apolipoprotein C3 drives cardiovascular risk in type 1 diabetes. J Clin Invest 2019; 129:4165-4179. [PMID: 31295146 DOI: 10.1172/jci127308] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Type 1 diabetes mellitus (T1DM) increases the risk of atherosclerotic cardiovascular disease (CVD) in humans by poorly understood mechanisms. Using mouse models of T1DM-accelerated atherosclerosis, we found that relative insulin deficiency rather than hyperglycemia elevated levels of apolipoprotein C3 (APOC3), an apolipoprotein that prevents clearance of triglyceride-rich lipoproteins (TRLs) and their remnants. We then showed that serum APOC3 levels predict incident CVD events in subjects with T1DM in the Coronary Artery Calcification in Type 1 Diabetes (CACTI) study. To explore underlying mechanisms, we investigated the impact of Apoc3 antisense oligonucleotides (ASOs) on lipoprotein metabolism and atherosclerosis in a mouse model of T1DM. Apoc3 ASO treatment abolished the increased hepatic Apoc3 expression in diabetic mice - resulting in lower levels of TRLs - without improving glycemic control. APOC3 suppression also prevented arterial accumulation of APOC3-containing lipoprotein particles, macrophage foam cell formation, and the accelerated atherosclerosis in diabetic mice. Our observations demonstrate that relative insulin deficiency increases APOC3 and that this results in elevated levels of TRLs and accelerated atherosclerosis in a mouse model of T1DM. Because serum levels of APOC3 predicted incident CVD events in the CACTI study, inhibiting APOC3 might reduce CVD risk in T1DM patients.
Collapse
Affiliation(s)
- Jenny E Kanter
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Baohai Shao
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Farah Kramer
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Shelley Barnhart
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Masami Shimizu-Albergine
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Tomas Vaisar
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | | | | | - Clarence R Manuel
- Department of Pathology and Cell Biology, Columbia University, New York, New York, USA
| | - Rebecca A Haeusler
- Department of Pathology and Cell Biology, Columbia University, New York, New York, USA
| | - Daniel Mar
- Department of Medicine, Division of Allergy and Infectious Disease, University of Washington, Seattle, Washington, USA
| | - Karol Bomsztyk
- Department of Medicine, Division of Allergy and Infectious Disease, University of Washington, Seattle, Washington, USA
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA
| | - Gregory L Kinney
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA
| | - Janet K Snell-Bergeon
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Denver, Aurora, Colorado, USA
| | - Jay W Heinecke
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA
| | - Karin E Bornfeldt
- Department of Medicine, UW Medicine Diabetes Institute, University of Washington, Seattle, Washington, USA.,Department of Pathology, University of Washington, Seattle, Washington, USA
| |
Collapse
|