1
|
Foyt D, Brown D, Zhou S, Huang B. HybriSeq: Probe-based Device-free Single-cell RNA Profiling. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.27.559406. [PMID: 37808850 PMCID: PMC10557710 DOI: 10.1101/2023.09.27.559406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
We have developed the HybriSeq method for single-cell RNA profiling, which utilizes in situ hybridization of multiple probes for targeted transcripts, followed by split-pool barcoding and sequencing analysis of the probes. We have shown that HybriSeq can achieve high sensitivity for RNA detection with multiple probes and profile RNA accessibility. The utility of HybriSeq is demonstrated in characterizing cell-to-cell heterogeneities of a panel of 95 cell-cycle-related genes and the probe-probe heterogeneity within a single transcript.
Collapse
Affiliation(s)
- Daniel Foyt
- UCSF-UC Berkeley Joint Graduate Program in Bioengineering, University of California San Francisco, San Francisco, California, 94143, United States of America
| | - David Brown
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94143, United States of America
| | - Shuqin Zhou
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94143, United States of America
| | - Bo Huang
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94143, United States of America
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California, 94143, United States of America
- Chan Zuckerberg Biohub - San Francisco, San Francisco, California, 94158, United States of America
| |
Collapse
|
2
|
Zhang X, Hu C, Huang C, Wei Y, Li X, Hu M, Li H, Wu J, Czajkowsky DM, Guo Y, Shao Z. Robust Acquisition of Spatial Transcriptional Programs in Tissues With Immunofluorescence-Guided Laser Capture Microdissection. Front Cell Dev Biol 2022; 10:853188. [PMID: 35399504 PMCID: PMC8990165 DOI: 10.3389/fcell.2022.853188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 02/24/2022] [Indexed: 12/22/2022] Open
Abstract
The functioning of tissues is fundamentally dependent upon not only the phenotypes of the constituent cells but also their spatial organization in the tissue, as local interactions precipitate intra-cellular events that often lead to changes in expression. However, our understanding of these processes in tissues, whether healthy or diseased, is limited at present owing to the difficulty in acquiring comprehensive transcriptional programs of spatially- and phenotypically-defined cells in situ. Here we present a robust method based on immunofluorescence-guided laser capture microdissection (immuno-LCM-RNAseq) to acquire finely resolved transcriptional programs with as few as tens of cells from snap-frozen or RNAlater-treated clinical tissues sufficient to resolve even isoforms. The protocol is optimized to protect the RNA with a small molecule inhibitor, the ribonucleoside vanadyl complex (RVC), which thereby enables the typical time-consuming immunostaining and laser capture steps of this procedure during which RNA is usually severely degraded in existing approaches. The efficacy of this approach is exemplified by the characterization of differentially expressed genes between the mouse small intestine lacteal cells at the tip versus the main capillary body, including those that function in sensing and responding to local environmental cues to stimulate intra-cellular signalling. With the extensive repertoire of specific antibodies that are presently available, our method provides an unprecedented capability for the analysis of transcriptional networks and signalling pathways during development, pathogenesis, and aging of specific cell types within native tissues.
Collapse
Affiliation(s)
- Xiaodan Zhang
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Chuansheng Hu
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Chen Huang
- Department of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ying Wei
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaowei Li
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Miaomiao Hu
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Hua Li
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Ji Wu
- Bio-X Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Daniel M. Czajkowsky
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Daniel M. Czajkowsky, ; Yan Guo, ; Zhifeng Shao,
| | - Yan Guo
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Daniel M. Czajkowsky, ; Yan Guo, ; Zhifeng Shao,
| | - Zhifeng Shao
- State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- *Correspondence: Daniel M. Czajkowsky, ; Yan Guo, ; Zhifeng Shao,
| |
Collapse
|
3
|
Highly multiplexed oligonucleotide probe-ligation testing enables efficient extraction-free SARS-CoV-2 detection and viral genotyping. Mod Pathol 2021; 34:1093-1103. [PMID: 33536572 PMCID: PMC7856856 DOI: 10.1038/s41379-020-00730-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/25/2020] [Accepted: 11/25/2020] [Indexed: 02/04/2023]
Abstract
There is an urgent and unprecedented need for sensitive and high-throughput molecular diagnostic tests to combat the SARS-CoV-2 pandemic. Here we present a generalized version of the RNA-mediated oligonucleotide Annealing Selection and Ligation with next generation DNA sequencing (RASL-seq) assay, called "capture RASL-seq" (cRASL-seq), which enables highly sensitive (down to ~1-100 pfu/ml or cfu/ml) and highly multiplexed (up to ~10,000 target sequences) detection of pathogens. Importantly, cRASL-seq analysis of COVID-19 patient nasopharyngeal (NP) swab specimens does not involve nucleic acid purification or reverse transcription, steps that have introduced supply bottlenecks into standard assay workflows. Our simplified protocol additionally enables the direct and efficient genotyping of selected, informative SARS-CoV-2 polymorphisms across the entire genome, which can be used for enhanced characterization of transmission chains at population scale and detection of viral clades with higher or lower virulence. Given its extremely low per-sample cost, simple and automatable protocol and analytics, probe panel modularity, and massive scalability, we propose that cRASL-seq testing is a powerful new technology with the potential to help mitigate the current pandemic and prevent similar public health crises.
Collapse
|
4
|
Kawalerski RR, Leach SD, Escobar-Hoyos LF. Pancreatic cancer driver mutations are targetable through distant alternative RNA splicing dependencies. Oncotarget 2021; 12:525-533. [PMID: 33796221 PMCID: PMC7984828 DOI: 10.18632/oncotarget.27901] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Accepted: 02/03/2021] [Indexed: 12/16/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC), the most common histological subtype of pancreatic cancer, has one of the highest case fatality rates of all known solid malignancies. Over the past decade, several landmark studies have established mutations in KRAS and TP53 as the predominant drivers of PDAC pathogenesis and therapeutic resistance, though treatment options for PDACs and other tumors with these mutations remain extremely limited. Hampered by late tumor discovery and diagnosis, clinicians are often faced with using aggressive and non-specific chemotherapies to treat advanced disease. Clinically meaningful responses to targeted therapy are often limited to the minority of patients with susceptible PDACs, and immunotherapies have routinely encountered roadblocks in effective activation of tumor-infiltrating immune cells. Alternative RNA splicing (ARS) has recently gained traction in the PDAC literature as a field from which we may better understand and treat complex mechanisms of PDAC initiation, progression, and therapeutic resistance. Here, we review PDAC pathogenesis as it relates to fundamental ARS biology, with an extension to implications for PDAC patient clinical management.
Collapse
Affiliation(s)
- Ryan R. Kawalerski
- Medical Scientist Training Program, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Steven D. Leach
- Departments of Molecular and Systems Biology, Surgery, and Medicine, Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center, Lebanon, NH 03766, USA
| | - Luisa F. Escobar-Hoyos
- Department of Therapeutic Radiology, Yale University, New Haven, CT 06513, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06513, USA
- Department of Pathology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY 11794, USA
| |
Collapse
|
5
|
Credle JJ, Robinson ML, Gunn J, Monaco D, Sie B, Tchir A, Hardick J, Zheng X, Shaw-Saliba K, Rothman RE, Eshleman SH, Pekosz A, Hansen K, Mostafa H, Steinegger M, Larman HB. Highly multiplexed oligonucleotide probe-ligation testing enables efficient extraction-free SARS-CoV-2 detection and viral genotyping. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.06.03.130591. [PMID: 32577648 PMCID: PMC7302202 DOI: 10.1101/2020.06.03.130591] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The emergence of SARS-CoV-2 has caused the current COVID-19 pandemic with catastrophic societal impact. Because many individuals shed virus for days before symptom onset, and many show mild or no symptoms, an emergent and unprecedented need exists for development and deployment of sensitive and high throughput molecular diagnostic tests. RNA-mediated oligonucleotide Annealing Selection and Ligation with next generation DNA sequencing (RASL-seq) is a highly multiplexed technology for targeted analysis of polyadenylated mRNA, which incorporates sample barcoding for massively parallel analyses. Here we present a more generalized method, capture RASL-seq ("cRASL-seq"), which enables analysis of any targeted pathogen- (and/or host-) associated RNA molecules. cRASL-seq enables highly sensitive (down to ~1-100 pfu/ml or cfu/ml) and highly multiplexed (up to ~10,000 target sequences) detection of pathogens. Importantly, cRASL-seq analysis of COVID-19 patient nasopharyngeal (NP) swab specimens does not involve nucleic acid extraction or reverse transcription, steps that have caused testing bottlenecks associated with other assays. Our simplified workflow additionally enables the direct and efficient genotyping of selected, informative SARS-CoV-2 polymorphisms across the entire genome, which can be used for enhanced characterization of transmission chains at population scale and detection of viral clades with higher or lower virulence. Given its extremely low per-sample cost, simple and automatable protocol and analytics, probe panel modularity, and massive scalability, we propose that cRASL-seq testing is a powerful new surveillance technology with the potential to help mitigate the current pandemic and prevent similar public health crises.
Collapse
Affiliation(s)
- Joel J. Credle
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Matthew L Robinson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jonathan Gunn
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Daniel Monaco
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Brandon Sie
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Alexandra Tchir
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Justin Hardick
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Xuwen Zheng
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Kathryn Shaw-Saliba
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Richard E. Rothman
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan H. Eshleman
- Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kasper Hansen
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | - Heba Mostafa
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Martin Steinegger
- Biological Sciences & Institute of Molecular Biology and Genetics, Seoul National University, Seoul, South Korea
| | - H. Benjamin Larman
- Institute for Cell Engineering, Immunology Division, Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
6
|
Bagnasco SM. Beyond the microscope: interpreting renal biopsy findings in the era of precision medicine. Am J Physiol Renal Physiol 2018; 315:F1652-F1655. [PMID: 30280602 DOI: 10.1152/ajprenal.00407.2018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
As rapid progress in science and biotechnology is affecting the practice of renal medicine, increasingly precise diagnostic assessment is needed to select the most effective therapeutic approach for individual patients. The kidney biopsy remains the gold standard for the diagnosis of renal disease, but the field of renal pathology is evolving, classification of renal parenchyma lesions and histopathological diagnostic criteria are undergoing more validation and updates, and new technologies and assays are sought to improve efficiency and accuracy of the diagnostic process. How new knowledge and scientific advances may potentially affect renal pathology is discussed.
Collapse
Affiliation(s)
- Serena M Bagnasco
- Department of Pathology, Johns Hopkins School of Medicine , Baltimore, Maryland
| |
Collapse
|