1
|
Sinha S, Vegesna R, Mukherjee S, Kammula AV, Dhruba SR, Wu W, Kerr DL, Nair NU, Jones MG, Yosef N, Stroganov OV, Grishagin I, Aldape KD, Blakely CM, Jiang P, Thomas CJ, Benes CH, Bivona TG, Schäffer AA, Ruppin E. PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors. Nat Cancer 2024:10.1038/s43018-024-00756-7. [PMID: 38637658 DOI: 10.1038/s43018-024-00756-7] [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] [Received: 06/20/2023] [Accepted: 03/08/2024] [Indexed: 04/20/2024]
Abstract
Tailoring optimal treatment for individual cancer patients remains a significant challenge. To address this issue, we developed PERCEPTION (PERsonalized Single-Cell Expression-Based Planning for Treatments In ONcology), a precision oncology computational pipeline. Our approach uses publicly available matched bulk and single-cell (sc) expression profiles from large-scale cell-line drug screens. These profiles help build treatment response models based on patients' sc-tumor transcriptomics. PERCEPTION demonstrates success in predicting responses to targeted therapies in cultured and patient-tumor-derived primary cells, as well as in two clinical trials for multiple myeloma and breast cancer. It also captures the resistance development in patients with lung cancer treated with tyrosine kinase inhibitors. PERCEPTION outperforms published state-of-the-art sc-based and bulk-based predictors in all clinical cohorts. PERCEPTION is accessible at https://github.com/ruppinlab/PERCEPTION . Our work, showcasing patient stratification using sc-expression profiles of their tumors, will encourage the adoption of sc-omics profiling in clinical settings, enhancing precision oncology tools based on sc-omics.
Collapse
Affiliation(s)
- Sanju Sinha
- Cancer Data Science Laboratory, National Cancer Institute, Bethesda, MD, USA.
- NCI-Designated Cancer Center, Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA.
| | - Rahulsimham Vegesna
- Cancer Data Science Laboratory, National Cancer Institute, Bethesda, MD, USA
| | - Sumit Mukherjee
- Cancer Data Science Laboratory, National Cancer Institute, Bethesda, MD, USA
| | - Ashwin V Kammula
- Cancer Data Science Laboratory, National Cancer Institute, Bethesda, MD, USA
- University of Maryland, College Park, MD, USA
| | | | - Wei Wu
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - D Lucas Kerr
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Nishanth Ulhas Nair
- Cancer Data Science Laboratory, National Cancer Institute, Bethesda, MD, USA
| | - Matthew G Jones
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA
- Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute, Cambridge, MA, USA
| | - Nir Yosef
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA
| | | | - Ivan Grishagin
- Rancho BioSciences, San Diego, CA, USA
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA
| | - Kenneth D Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Collin M Blakely
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Peng Jiang
- Cancer Data Science Laboratory, National Cancer Institute, Bethesda, MD, USA
| | - Craig J Thomas
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Cyril H Benes
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Trever G Bivona
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub Investigator, San Francisco, CA, USA
| | | | - Eytan Ruppin
- Cancer Data Science Laboratory, National Cancer Institute, Bethesda, MD, USA.
| |
Collapse
|
2
|
Weng C, Yu F, Yang D, Poeschla M, Liggett LA, Jones MG, Qiu X, Wahlster L, Caulier A, Hussmann JA, Schnell A, Yost KE, Koblan LW, Martin-Rufino JD, Min J, Hammond A, Ssozi D, Bueno R, Mallidi H, Kreso A, Escabi J, Rideout WM, Jacks T, Hormoz S, van Galen P, Weissman JS, Sankaran VG. Deciphering cell states and genealogies of human haematopoiesis. Nature 2024; 627:389-398. [PMID: 38253266 PMCID: PMC10937407 DOI: 10.1038/s41586-024-07066-z] [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: 12/01/2022] [Accepted: 01/12/2024] [Indexed: 01/24/2024]
Abstract
The human blood system is maintained through the differentiation and massive amplification of a limited number of long-lived haematopoietic stem cells (HSCs)1. Perturbations to this process underlie diverse diseases, but the clonal contributions to human haematopoiesis and how this changes with age remain incompletely understood. Although recent insights have emerged from barcoding studies in model systems2-5, simultaneous detection of cell states and phylogenies from natural barcodes in humans remains challenging. Here we introduce an improved, single-cell lineage-tracing system based on deep detection of naturally occurring mitochondrial DNA mutations with simultaneous readout of transcriptional states and chromatin accessibility. We use this system to define the clonal architecture of HSCs and map the physiological state and output of clones. We uncover functional heterogeneity in HSC clones, which is stable over months and manifests as both differences in total HSC output and biases towards the production of different mature cell types. We also find that the diversity of HSC clones decreases markedly with age, leading to an oligoclonal structure with multiple distinct clonal expansions. Our study thus provides a clonally resolved and cell-state-aware atlas of human haematopoiesis at single-cell resolution, showing an unappreciated functional diversity of human HSC clones and, more broadly, paving the way for refined studies of clonal dynamics across a range of tissues in human health and disease.
Collapse
Affiliation(s)
- Chen Weng
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Fulong Yu
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, P.R. China
| | - Dian Yang
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Molecular Pharmacology and Therapeutics, Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Michael Poeschla
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - L Alexander Liggett
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matthew G Jones
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Dermatology, Stanford University, Stanford, CA, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Xiaojie Qiu
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Genetics and Computer Science, BASE Research Initiative, Betty Irene Moore Children's Heart Center, Stanford University, Stanford, CA, USA
| | - Lara Wahlster
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexis Caulier
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jeffrey A Hussmann
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alexandra Schnell
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kathryn E Yost
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Luke W Koblan
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jorge D Martin-Rufino
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joseph Min
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alessandro Hammond
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel Ssozi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Hematology, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Raphael Bueno
- Division of Thoracic and Cardiac Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Hari Mallidi
- Division of Thoracic and Cardiac Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Antonia Kreso
- Division of Cardiac Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Javier Escabi
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - William M Rideout
- Koch Institute For Integrative Cancer Research at MIT, MIT, Cambridge, MA, USA
| | - Tyler Jacks
- Koch Institute For Integrative Cancer Research at MIT, MIT, Cambridge, MA, USA
| | - Sahand Hormoz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Peter van Galen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Hematology, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
| | - Jonathan S Weissman
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA.
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Koch Institute For Integrative Cancer Research at MIT, MIT, Cambridge, MA, USA.
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
| |
Collapse
|
3
|
Zhu K, Jones MG, Luebeck J, Bu X, Yi H, Hung KL, Wong ITL, Zhang S, Mischel PS, Chang HY, Bafna V. CoRAL accurately resolves extrachromosomal DNA genome structures with long-read sequencing. bioRxiv 2024:2024.02.15.580594. [PMID: 38405779 PMCID: PMC10888815 DOI: 10.1101/2024.02.15.580594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Extrachromosomal DNA (ecDNA) is a central mechanism for focal oncogene amplification in cancer, occurring in approximately 15% of early stage cancers and 30% of late-stage cancers. EcDNAs drive tumor formation, evolution, and drug resistance by dynamically modulating oncogene copy-number and rewiring gene-regulatory networks. Elucidating the genomic architecture of ecDNA amplifications is critical for understanding tumor pathology and developing more effective therapies. Paired-end short-read (Illumina) sequencing and mapping have been utilized to represent ecDNA amplifications using a breakpoint graph, where the inferred architecture of ecDNA is encoded as a cycle in the graph. Traversals of breakpoint graph have been used to successfully predict ecDNA presence in cancer samples. However, short-read technologies are intrinsically limited in the identification of breakpoints, phasing together of complex rearrangements and internal duplications, and deconvolution of cell-to-cell heterogeneity of ecDNA structures. Long-read technologies, such as from Oxford Nanopore Technologies, have the potential to improve inference as the longer reads are better at mapping structural variants and are more likely to span rearranged or duplicated regions. Here, we propose CoRAL (Complete Reconstruction of Amplifications with Long reads), for reconstructing ecDNA architectures using long-read data. CoRAL reconstructs likely cyclic architectures using quadratic programming that simultaneously optimizes parsimony of reconstruction, explained copy number, and consistency of long-read mapping. CoRAL substantially improves reconstructions in extensive simulations and 9 datasets from previously-characterized cell-lines as compared to previous short-read-based tools. As long-read usage becomes wide-spread, we anticipate that CoRAL will be a valuable tool for profiling the landscape and evolution of focal amplifications in tumors. Availability: https://github.com/AmpliconSuite/CoRAL.
Collapse
Affiliation(s)
- Kaiyuan Zhu
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
- These authors contributed equally to this work
| | - Matthew G. Jones
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- These authors contributed equally to this work
| | - Jens Luebeck
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
| | - Xinxin Bu
- Bioinformatics Undergraduate Program, School of Biological Sciences, UC San Diego, La Jolla, CA, USA
| | - Hyerim Yi
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - King L. Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Ivy Tzo-Lo Wong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA
| | - Shu Zhang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Paul S. Mischel
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Sarafan Chemistry, Engineering, and Medicine for Human Health (Sarafan ChEM-H), Stanford University, Stanford, CA, USA
| | - Howard Y. Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Vineet Bafna
- Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA
- Halicioglu Data Science Institute, UC San Diego, La Jolla, CA, USA
| |
Collapse
|
4
|
Rose JC, Wong ITL, Daniel B, Jones MG, Yost KE, Hung KL, Curtis EJ, Mischel PS, Chang HY. Disparate pathways for extrachromosomal DNA biogenesis and genomic DNA repair. bioRxiv 2023:2023.10.22.563489. [PMID: 37961138 PMCID: PMC10634728 DOI: 10.1101/2023.10.22.563489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Oncogene amplification on extrachromosomal DNA (ecDNA) is a pervasive driver event in cancer, yet our understanding of how ecDNA forms is limited. Here, we couple a CRISPR-based method for induction of ecDNA with extensive characterization of newly formed ecDNA to examine ecDNA biogenesis. We find that DNA circularization is efficient, irrespective of 3D genome context, with formation of a 1 Mb and 1.8 Mb ecDNA both reaching 15%. We show non-homologous end joining and microhomology mediated end joining both contribute to ecDNA formation, while inhibition of DNA-PKcs and ATM have opposing impacts on ecDNA formation. EcDNA and the corresponding chromosomal excision scar form at significantly different rates and respond differently to DNA-PKcs and ATM inhibition. Taken together, our results support a model of ecDNA formation in which double strand break ends dissociate from their legitimate ligation partners prior to joining of illegitimate ends to form the ecDNA and excision scar.
Collapse
Affiliation(s)
- John C Rose
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Ivy Tsz-Lo Wong
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Bence Daniel
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew G Jones
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Kathryn E Yost
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - King L Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Ellis J Curtis
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Paul S Mischel
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford, CA, USA
| |
Collapse
|
5
|
Hung KL, Jones MG, Wong ITL, Lange JT, Luebeck J, Scanu E, He BJ, Brückner L, Li R, González RC, Schmargon R, Dörr JR, Belk JA, Bafna V, Werner B, Huang W, Henssen AG, Mischel PS, Chang HY. Coordinated inheritance of extrachromosomal DNA species in human cancer cells. bioRxiv 2023:2023.07.18.549597. [PMID: 37503111 PMCID: PMC10371175 DOI: 10.1101/2023.07.18.549597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
The chromosomal theory of inheritance has dominated human genetics, including cancer genetics. Genes on the same chromosome segregate together while genes on different chromosomes assort independently, providing a fundamental tenet of Mendelian inheritance. Extrachromosomal DNA (ecDNA) is a frequent event in cancer that drives oncogene amplification, dysregulated gene expression and intratumoral heterogeneity, including through random segregation during cell division. Distinct ecDNA sequences, herein termed ecDNA species, can co-exist to facilitate intermolecular cooperation in cancer cells. However, how multiple ecDNA species within a tumor cell are assorted and maintained across somatic cell generations to drive cancer cell evolution is not known. Here we show that cooperative ecDNA species can be coordinately inherited through mitotic co-segregation. Imaging and single-cell analyses show that multiple ecDNAs encoding distinct oncogenes co-occur and are correlated in copy number in human cancer cells. EcDNA species are coordinately segregated asymmetrically during mitosis, resulting in daughter cells with simultaneous copy number gains in multiple ecDNA species prior to any selection. Computational modeling reveals the quantitative principles of ecDNA co-segregation and co-selection, predicting their observed distributions in cancer cells. Finally, we show that coordinated inheritance of ecDNAs enables co-amplification of specialized ecDNAs containing only enhancer elements and guides therapeutic strategies to jointly deplete cooperating ecDNA oncogenes. Coordinated inheritance of ecDNAs confers stability to oncogene cooperation and novel gene regulatory circuits, allowing winning combinations of epigenetic states to be transmitted across cell generations.
Collapse
Affiliation(s)
- King L. Hung
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Matthew G. Jones
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Ivy Tsz-Lo Wong
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Joshua T. Lange
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Jens Luebeck
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, 92093, USA
| | - Elisa Scanu
- Department of Mathematics, Queen Mary University of London, London, UK
| | - Britney Jiayu He
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Lotte Brückner
- Max-Delbrück-Centrum für Molekulare Medizin (BIMSB/BIH), Berlin, Germany
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
| | - Rui Li
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Rocío Chamorro González
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
- Department of Pediatric Oncology/Hematology, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Rachel Schmargon
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
- Department of Pediatric Oncology/Hematology, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Jan R. Dörr
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
- Department of Pediatric Oncology/Hematology, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Julia A. Belk
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
| | - Vineet Bafna
- Department of Computer Science and Engineering, University of California at San Diego, La Jolla, CA, 92093, USA
| | - Benjamin Werner
- Evolutionary Dynamics Group, Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Weini Huang
- Department of Mathematics, Queen Mary University of London, London, UK
- Group of Theoretical Biology, The State Key Laboratory of Biocontrol, School of Life Science, Sun Yat-sen University, Guangzhou, China
| | - Anton G. Henssen
- Experimental and Clinical Research Center (ECRC), Max Delbrück Center for Molecular Medicine and Charité—Universitätsmedizin Berlin, Lindenberger Weg 80, 13125, Berlin, Germany
- Department of Pediatric Oncology/Hematology, Charité—Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
- German Cancer Consortium (DKTK), partner site Berlin, and German Cancer Research Center DKFZ, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Berlin Institute of Health, Anna-Louisa-Karsch-Str. 2, 10178, Berlin, Germany
| | - Paul S. Mischel
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Howard Y. Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA 94305, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| |
Collapse
|
6
|
Jones MG, Yang D, Weissman JS. New Tools for Lineage Tracing in Cancer In Vivo. Annu Rev Cancer Biol 2023. [DOI: 10.1146/annurev-cancerbio-061421-123301] [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: 01/18/2023]
Abstract
During tumor evolution, cancer cells can acquire the ability to proliferate, invade neighboring tissues, evade the immune system, and spread systemically. Tracking this process remains challenging, as many key events occur stochastically and over long times, which could be addressed by studying the phylogenetic relationships among cancer cells. Several lineage tracing approaches have been developed and employed in many tumor models and contexts, providing critical insights into tumor evolution. Recent advances in single-cell lineage tracing have greatly expanded the resolution, scale, and readout of lineage tracing toolkits. In this review, we provide an overview of static lineage tracing methods, and then focus on evolving lineage tracing technologies that enable reconstruction of tumor phylogenies at unprecedented resolution. We also discuss in vivo applications of these technologies to profile subclonal dynamics, quantify tumor plasticity, and track metastasis. Finally, we highlight outstanding questions and emerging technologies for building comprehensive cancer evolution roadmaps. Expected final online publication date for the Annual Review of Cancer Biology, Volume 7 is April 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
Collapse
Affiliation(s)
- Matthew G. Jones
- Whitehead Institute for Biomedical Research, Howard Hughes Medical Institute, David H. Koch Institute for Integrative Cancer Research, and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;,
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, USA
- Biological and Medical Informatics Graduate Program and Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, California, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, California, USA
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, California, USA
| | - Dian Yang
- Whitehead Institute for Biomedical Research, Howard Hughes Medical Institute, David H. Koch Institute for Integrative Cancer Research, and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;,
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, USA
| | - Jonathan S. Weissman
- Whitehead Institute for Biomedical Research, Howard Hughes Medical Institute, David H. Koch Institute for Integrative Cancer Research, and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA;,
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, California, USA
| |
Collapse
|
7
|
Evans RA, Leavy OC, Richardson M, Elneima O, McAuley HJC, Shikotra A, Singapuri A, Sereno M, Saunders RM, Harris VC, Houchen-Wolloff L, Aul R, Beirne P, Bolton CE, Brown JS, Choudhury G, Diar-Bakerly N, Easom N, Echevarria C, Fuld J, Hart N, Hurst J, Jones MG, Parekh D, Pfeffer P, Rahman NM, Rowland-Jones SL, Shah AM, Wootton DG, Chalder T, Davies MJ, De Soyza A, Geddes JR, Greenhalf W, Greening NJ, Heaney LG, Heller S, Howard LS, Jacob J, Jenkins RG, Lord JM, Man WDC, McCann GP, Neubauer S, Openshaw PJM, Porter JC, Rowland MJ, Scott JT, Semple MG, Singh SJ, Thomas DC, Toshner M, Lewis KE, Thwaites RS, Briggs A, Docherty AB, Kerr S, Lone NI, Quint J, Sheikh A, Thorpe M, Zheng B, Chalmers JD, Ho LP, Horsley A, Marks M, Poinasamy K, Raman B, Harrison EM, Wain LV, Brightling CE, Abel K, Adamali H, Adeloye D, Adeyemi O, Adrego R, Aguilar Jimenez LA, Ahmad S, Ahmad Haider N, Ahmed R, Ahwireng N, Ainsworth M, Al-Sheklly B, Alamoudi A, Ali M, Aljaroof M, All AM, Allan L, Allen RJ, Allerton L, Allsop L, Almeida P, Altmann D, Alvarez Corral M, Amoils S, Anderson D, Antoniades C, Arbane G, Arias A, Armour C, Armstrong L, Armstrong N, Arnold D, Arnold H, Ashish A, Ashworth A, Ashworth M, Aslani S, Assefa-Kebede H, Atkin C, Atkin P, Aung H, Austin L, Avram C, Ayoub A, Babores M, Baggott R, Bagshaw J, Baguley D, Bailey L, Baillie JK, Bain S, Bakali M, Bakau M, Baldry E, Baldwin D, Ballard C, Banerjee A, Bang B, Barker RE, Barman L, Barratt S, Barrett F, Basire D, Basu N, Bates M, Bates A, Batterham R, Baxendale H, Bayes H, Beadsworth M, Beckett P, Beggs M, Begum M, Bell D, Bell R, Bennett K, Beranova E, Bermperi A, Berridge A, Berry C, Betts S, Bevan E, Bhui K, Bingham M, Birchall K, Bishop L, Bisnauthsing K, Blaikely J, Bloss A, Bolger A, Bonnington J, Botkai A, Bourne C, Bourne M, Bramham K, Brear L, Breen G, Breeze J, Bright E, Brill S, Brindle K, Broad L, Broadley A, Brookes C, Broome M, Brown A, Brown A, Brown J, Brown J, Brown M, Brown M, Brown V, Brugha T, Brunskill N, Buch M, Buckley P, Bularga A, Bullmore E, Burden L, Burdett T, Burn D, Burns G, Burns A, Busby J, Butcher R, Butt A, Byrne S, Cairns P, Calder PC, Calvelo E, Carborn H, Card B, Carr C, Carr L, Carson G, Carter P, Casey A, Cassar M, Cavanagh J, Chablani M, Chambers RC, Chan F, Channon KM, Chapman K, Charalambou A, Chaudhuri N, Checkley A, Chen J, Cheng Y, Chetham L, Childs C, Chilvers ER, Chinoy H, Chiribiri A, Chong-James K, Choudhury N, Chowienczyk P, Christie C, Chrystal M, Clark D, Clark C, Clarke J, Clohisey S, Coakley G, Coburn Z, Coetzee S, Cole J, Coleman C, Conneh F, Connell D, Connolly B, Connor L, Cook A, Cooper B, Cooper J, Cooper S, Copeland D, Cosier T, Coulding M, Coupland C, Cox E, Craig T, Crisp P, Cristiano D, Crooks MG, Cross A, Cruz I, Cullinan P, Cuthbertson D, Daines L, Dalton M, Daly P, Daniels A, Dark P, Dasgin J, David A, David C, Davies E, Davies F, Davies G, Davies GA, Davies K, Dawson J, Daynes E, Deakin B, Deans A, Deas C, Deery J, Defres S, Dell A, Dempsey K, Denneny E, Dennis J, Dewar A, Dharmagunawardena R, Dickens C, Dipper A, Diver S, Diwanji SN, Dixon M, Djukanovic R, Dobson H, Dobson SL, Donaldson A, Dong T, Dormand N, Dougherty A, Dowling R, Drain S, Draxlbauer K, Drury K, Dulawan P, Dunleavy A, Dunn S, Earley J, Edwards S, Edwardson C, El-Taweel H, Elliott A, Elliott K, Ellis Y, Elmer A, Evans D, Evans H, Evans J, Evans R, Evans RI, Evans T, Evenden C, Evison L, Fabbri L, Fairbairn S, Fairman A, Fallon K, Faluyi D, Favager C, Fayzan T, Featherstone J, Felton T, Finch J, Finney S, Finnigan J, Finnigan L, Fisher H, Fletcher S, Flockton R, Flynn M, Foot H, Foote D, Ford A, Forton D, Fraile E, Francis C, Francis R, Francis S, Frankel A, Fraser E, Free R, French N, Fu X, Furniss J, Garner L, Gautam N, George J, George P, Gibbons M, Gill M, Gilmour L, Gleeson F, Glossop J, Glover S, Goodman N, Goodwin C, Gooptu B, Gordon H, Gorsuch T, Greatorex M, Greenhaff PL, Greenhalgh A, Greenwood J, Gregory H, Gregory R, Grieve D, Griffin D, Griffiths L, Guerdette AM, Guillen Guio B, Gummadi M, Gupta A, Gurram S, Guthrie E, Guy Z, H Henson H, Hadley K, Haggar A, Hainey K, Hairsine B, Haldar P, Hall I, Hall L, Halling-Brown M, Hamil R, Hancock A, Hancock K, Hanley NA, Haq S, Hardwick HE, Hardy E, Hardy T, Hargadon B, Harrington K, Harris E, Harrison P, Harvey A, Harvey M, Harvie M, Haslam L, Havinden-Williams M, Hawkes J, Hawkings N, Haworth J, Hayday A, Haynes M, Hazeldine J, Hazelton T, Heeley C, Heeney JL, Heightman M, Henderson M, Hesselden L, Hewitt M, Highett V, Hillman T, Hiwot T, Hoare A, Hoare M, Hockridge J, Hogarth P, Holbourn A, Holden S, Holdsworth L, Holgate D, Holland M, Holloway L, Holmes K, Holmes M, Holroyd-Hind B, Holt L, Hormis A, Hosseini A, Hotopf M, Howard K, Howell A, Hufton E, Hughes AD, Hughes J, Hughes R, Humphries A, Huneke N, Hurditch E, Husain M, Hussell T, Hutchinson J, Ibrahim W, Ilyas F, Ingham J, Ingram L, Ionita D, Isaacs K, Ismail K, Jackson T, James WY, Jarman C, Jarrold I, Jarvis H, Jastrub R, Jayaraman B, Jezzard P, Jiwa K, Johnson C, Johnson S, Johnston D, Jolley CJ, Jones D, Jones G, Jones H, Jones H, Jones I, Jones L, Jones S, Jose S, Kabir T, Kaltsakas G, Kamwa V, Kanellakis N, Kaprowska S, Kausar Z, Keenan N, Kelly S, Kemp G, Kerslake H, Key AL, Khan F, Khunti K, Kilroy S, King B, King C, Kingham L, Kirk J, Kitterick P, Klenerman P, Knibbs L, Knight S, Knighton A, Kon O, Kon S, Kon SS, Koprowska S, Korszun A, Koychev I, Kurasz C, Kurupati P, Laing C, Lamlum H, Landers G, Langenberg C, Lasserson D, Lavelle-Langham L, Lawrie A, Lawson C, Lawson C, Layton A, Lea A, Lee D, Lee JH, Lee E, Leitch K, Lenagh R, Lewis D, Lewis J, Lewis V, Lewis-Burke N, Li X, Light T, Lightstone L, Lilaonitkul W, Lim L, Linford S, Lingford-Hughes A, Lipman M, Liyanage K, Lloyd A, Logan S, Lomas D, Loosley R, Lota H, Lovegrove W, Lucey A, Lukaschuk E, Lye A, Lynch C, MacDonald S, MacGowan G, Macharia I, Mackie J, Macliver L, Madathil S, Madzamba G, Magee N, Magtoto MM, Mairs N, Majeed N, Major E, Malein F, Malim M, Mallison G, Mandal S, Mangion K, Manisty C, Manley R, March K, Marciniak S, Marino P, Mariveles M, Marouzet E, Marsh S, Marshall B, Marshall M, Martin J, Martineau A, Martinez LM, Maskell N, Matila D, Matimba-Mupaya W, Matthews L, Mbuyisa A, McAdoo S, Weir McCall J, McAllister-Williams H, McArdle A, McArdle P, McAulay D, McCormick J, McCormick W, McCourt P, McGarvey L, McGee C, Mcgee K, McGinness J, McGlynn K, McGovern A, McGuinness H, McInnes IB, McIntosh J, McIvor E, McIvor K, McLeavey L, McMahon A, McMahon MJ, McMorrow L, Mcnally T, McNarry M, McNeill J, McQueen A, McShane H, Mears C, Megson C, Megson S, Mehta P, Meiring J, Melling L, Mencias M, Menzies D, Merida Morillas M, Michael A, Milligan L, Miller C, Mills C, Mills NL, Milner L, Misra S, Mitchell J, Mohamed A, Mohamed N, Mohammed S, Molyneaux PL, Monteiro W, Moriera S, Morley A, Morrison L, Morriss R, Morrow A, Moss AJ, Moss P, Motohashi K, Msimanga N, Mukaetova-Ladinska E, Munawar U, Murira J, Nanda U, Nassa H, Nasseri M, Neal A, Needham R, Neill P, Newell H, Newman T, Newton-Cox A, Nicholson T, Nicoll D, Nolan CM, Noonan MJ, Norman C, Novotny P, Nunag J, Nwafor L, Nwanguma U, Nyaboko J, O'Donnell K, O'Brien C, O'Brien L, O'Regan D, Odell N, Ogg G, Olaosebikan O, Oliver C, Omar Z, Orriss-Dib L, Osborne L, Osbourne R, Ostermann M, Overton C, Owen J, Oxton J, Pack J, Pacpaco E, Paddick S, Painter S, Pakzad A, Palmer S, Papineni P, Paques K, Paradowski K, Pareek M, Parfrey H, Pariante C, Parker S, Parkes M, Parmar J, Patale S, Patel B, Patel M, Patel S, Pattenadk D, Pavlides M, Payne S, Pearce L, Pearl JE, Peckham D, Pendlebury J, Peng Y, Pennington C, Peralta I, Perkins E, Peterkin Z, Peto T, Petousi N, Petrie J, Phipps J, Pimm J, Piper Hanley K, Pius R, Plant H, Plein S, Plekhanova T, Plowright M, Polgar O, Poll L, Porter J, Portukhay S, Powell N, Prabhu A, Pratt J, Price A, Price C, Price C, Price D, Price L, Price L, Prickett A, Propescu J, Pugmire S, Quaid S, Quigley J, Qureshi H, Qureshi IN, Radhakrishnan K, Ralser M, Ramos A, Ramos H, Rangeley J, Rangelov B, Ratcliffe L, Ravencroft P, Reddington A, Reddy R, Redfearn H, Redwood D, Reed A, Rees M, Rees T, Regan K, Reynolds W, Ribeiro C, Richards A, Richardson E, Rivera-Ortega P, Roberts K, Robertson E, Robinson E, Robinson L, Roche L, Roddis C, Rodger J, Ross A, Ross G, Rossdale J, Rostron A, Rowe A, Rowland A, Rowland J, Roy K, Roy M, Rudan I, Russell R, Russell E, Saalmink G, Sabit R, Sage EK, Samakomva T, Samani N, Sampson C, Samuel K, Samuel R, Sanderson A, Sapey E, Saralaya D, Sargant J, Sarginson C, Sass T, Sattar N, Saunders K, Saunders P, Saunders LC, Savill H, Saxon W, Sayer A, Schronce J, Schwaeble W, Scott K, Selby N, Sewell TA, Shah K, Shah P, Shankar-Hari M, Sharma M, Sharpe C, Sharpe M, Shashaa S, Shaw A, Shaw K, Shaw V, Shelton S, Shenton L, Shevket K, Short J, Siddique S, Siddiqui S, Sidebottom J, Sigfrid L, Simons G, Simpson J, Simpson N, Singh C, Singh S, Sissons D, Skeemer J, Slack K, Smith A, Smith D, Smith S, Smith J, Smith L, Soares M, Solano TS, Solly R, Solstice AR, Soulsby T, Southern D, Sowter D, Spears M, Spencer LG, Speranza F, Stadon L, Stanel S, Steele N, Steiner M, Stensel D, Stephens G, Stephenson L, Stern M, Stewart I, Stimpson R, Stockdale S, Stockley J, Stoker W, Stone R, Storrar W, Storrie A, Storton K, Stringer E, Strong-Sheldrake S, Stroud N, Subbe C, Sudlow CL, Suleiman Z, Summers C, Summersgill C, Sutherland D, Sykes DL, Sykes R, Talbot N, Tan AL, Tarusan L, Tavoukjian V, Taylor A, Taylor C, Taylor J, Te A, Tedd H, Tee CJ, Teixeira J, Tench H, Terry S, Thackray-Nocera S, Thaivalappil F, Thamu B, Thickett D, Thomas C, Thomas S, Thomas AK, Thomas-Woods T, Thompson T, Thompson AAR, Thornton T, Tilley J, Tinker N, Tiongson GF, Tobin M, Tomlinson J, Tong C, Touyz R, Tripp KA, Tunnicliffe E, Turnbull A, Turner E, Turner S, Turner V, Turner K, Turney S, Turtle L, Turton H, Ugoji J, Ugwuoke R, Upthegrove R, Valabhji J, Ventura M, Vere J, Vickers C, Vinson B, Wade E, Wade P, Wainwright T, Wajero LO, Walder S, Walker S, Walker S, Wall E, Wallis T, Walmsley S, Walsh JA, Walsh S, Warburton L, Ward TJC, Warwick K, Wassall H, Waterson S, Watson E, Watson L, Watson J, Welch C, Welch H, Welsh B, Wessely S, West S, Weston H, Wheeler H, White S, Whitehead V, Whitney J, Whittaker S, Whittam B, Whitworth V, Wight A, Wild J, Wilkins M, Wilkinson D, Williams N, Williams N, Williams J, Williams-Howard SA, Willicombe M, Willis G, Willoughby J, Wilson A, Wilson D, Wilson I, Window N, Witham M, Wolf-Roberts R, Wood C, Woodhead F, Woods J, Wormleighton J, Worsley J, Wraith D, Wrey Brown C, Wright C, Wright L, Wright S, Wyles J, Wynter I, Xu M, Yasmin N, Yasmin S, Yates T, Yip KP, Young B, Young S, Young A, Yousuf AJ, Zawia A, Zeidan L, Zhao B, Zongo O. Clinical characteristics with inflammation profiling of long COVID and association with 1-year recovery following hospitalisation in the UK: a prospective observational study. Lancet Respir Med 2022; 10:761-775. [PMID: 35472304 PMCID: PMC9034855 DOI: 10.1016/s2213-2600(22)00127-8] [Citation(s) in RCA: 144] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/23/2022] [Accepted: 03/31/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND No effective pharmacological or non-pharmacological interventions exist for patients with long COVID. We aimed to describe recovery 1 year after hospital discharge for COVID-19, identify factors associated with patient-perceived recovery, and identify potential therapeutic targets by describing the underlying inflammatory profiles of the previously described recovery clusters at 5 months after hospital discharge. METHODS The Post-hospitalisation COVID-19 study (PHOSP-COVID) is a prospective, longitudinal cohort study recruiting adults (aged ≥18 years) discharged from hospital with COVID-19 across the UK. Recovery was assessed using patient-reported outcome measures, physical performance, and organ function at 5 months and 1 year after hospital discharge, and stratified by both patient-perceived recovery and recovery cluster. Hierarchical logistic regression modelling was performed for patient-perceived recovery at 1 year. Cluster analysis was done using the clustering large applications k-medoids approach using clinical outcomes at 5 months. Inflammatory protein profiling was analysed from plasma at the 5-month visit. This study is registered on the ISRCTN Registry, ISRCTN10980107, and recruitment is ongoing. FINDINGS 2320 participants discharged from hospital between March 7, 2020, and April 18, 2021, were assessed at 5 months after discharge and 807 (32·7%) participants completed both the 5-month and 1-year visits. 279 (35·6%) of these 807 patients were women and 505 (64·4%) were men, with a mean age of 58·7 (SD 12·5) years, and 224 (27·8%) had received invasive mechanical ventilation (WHO class 7-9). The proportion of patients reporting full recovery was unchanged between 5 months (501 [25·5%] of 1965) and 1 year (232 [28·9%] of 804). Factors associated with being less likely to report full recovery at 1 year were female sex (odds ratio 0·68 [95% CI 0·46-0·99]), obesity (0·50 [0·34-0·74]) and invasive mechanical ventilation (0·42 [0·23-0·76]). Cluster analysis (n=1636) corroborated the previously reported four clusters: very severe, severe, moderate with cognitive impairment, and mild, relating to the severity of physical health, mental health, and cognitive impairment at 5 months. We found increased inflammatory mediators of tissue damage and repair in both the very severe and the moderate with cognitive impairment clusters compared with the mild cluster, including IL-6 concentration, which was increased in both comparisons (n=626 participants). We found a substantial deficit in median EQ-5D-5L utility index from before COVID-19 (retrospective assessment; 0·88 [IQR 0·74-1·00]), at 5 months (0·74 [0·64-0·88]) to 1 year (0·75 [0·62-0·88]), with minimal improvements across all outcome measures at 1 year after discharge in the whole cohort and within each of the four clusters. INTERPRETATION The sequelae of a hospital admission with COVID-19 were substantial 1 year after discharge across a range of health domains, with the minority in our cohort feeling fully recovered. Patient-perceived health-related quality of life was reduced at 1 year compared with before hospital admission. Systematic inflammation and obesity are potential treatable traits that warrant further investigation in clinical trials. FUNDING UK Research and Innovation and National Institute for Health Research.
Collapse
|
8
|
Yang D, Jones MG, Naranjo S, Rideout WM, Min KHJ, Ho R, Wu W, Replogle JM, Page JL, Quinn JJ, Horns F, Qiu X, Chen MZ, Freed-Pastor WA, McGinnis CS, Patterson DM, Gartner ZJ, Chow ED, Bivona TG, Chan MM, Yosef N, Jacks T, Weissman JS. Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution. Cell 2022; 185:1905-1923.e25. [PMID: 35523183 DOI: 10.1016/j.cell.2022.04.015] [Citation(s) in RCA: 86] [Impact Index Per Article: 43.0] [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: 09/21/2021] [Revised: 02/09/2022] [Accepted: 04/08/2022] [Indexed: 12/19/2022]
Abstract
Tumor evolution is driven by the progressive acquisition of genetic and epigenetic alterations that enable uncontrolled growth and expansion to neighboring and distal tissues. The study of phylogenetic relationships between cancer cells provides key insights into these processes. Here, we introduced an evolving lineage-tracing system with a single-cell RNA-seq readout into a mouse model of Kras;Trp53(KP)-driven lung adenocarcinoma and tracked tumor evolution from single-transformed cells to metastatic tumors at unprecedented resolution. We found that the loss of the initial, stable alveolar-type2-like state was accompanied by a transient increase in plasticity. This was followed by the adoption of distinct transcriptional programs that enable rapid expansion and, ultimately, clonal sweep of stable subclones capable of metastasizing. Finally, tumors develop through stereotypical evolutionary trajectories, and perturbing additional tumor suppressors accelerates progression by creating novel trajectories. Our study elucidates the hierarchical nature of tumor evolution and, more broadly, enables in-depth studies of tumor progression.
Collapse
Affiliation(s)
- Dian Yang
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Matthew G Jones
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA; Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, CA 94158, USA; Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Santiago Naranjo
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - William M Rideout
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Kyung Hoi Joseph Min
- Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Raymond Ho
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Wei Wu
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Joseph M Replogle
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA 94158, USA; Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jennifer L Page
- Cell and Genome Engineering Core, University of California San Francisco, San Francisco, CA 94158, USA
| | - Jeffrey J Quinn
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Felix Horns
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Xiaojie Qiu
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Michael Z Chen
- Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Medical Scientist Training Program, Harvard Medical School, Boston, MA 02115, USA
| | - William A Freed-Pastor
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA
| | - Christopher S McGinnis
- Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - David M Patterson
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Zev J Gartner
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg BioHub Investigator, University of California, San Francisco, San Francisco, CA 94158, USA; Center for Cellular Construction, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Eric D Chow
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA; Center for Advanced Technology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Trever G Bivona
- Department of Medicine, University of California, San Francisco, San Francisco, CA 94158, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Michelle M Chan
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
| | - Nir Yosef
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Chan Zuckerberg BioHub Investigator, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Electrical Engineering and Computer Science, University of California Berkeley, Berkeley, CA 94720, USA; Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA, USA.
| | - Tyler Jacks
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
| |
Collapse
|
9
|
Jones MG, Rosen Y, Yosef N. Interactive, integrated analysis of single-cell transcriptomic and phylogenetic data with PhyloVision. Cell Rep Methods 2022; 2:100200. [PMID: 35497495 PMCID: PMC9046453 DOI: 10.1016/j.crmeth.2022.100200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 02/19/2022] [Accepted: 03/28/2022] [Indexed: 02/07/2023]
Abstract
Recent advances in CRISPR-Cas9 engineering and single-cell assays have enabled the simultaneous measurement of single-cell transcriptomic and phylogenetic profiles. However, there are few computational tools enabling users to integrate and derive insight from a joint analysis of these two modalities. Here, we describe "PhyloVision": an open-source software for interactively exploring data from both modalities and for identifying and interpreting heritable gene modules whose concerted expression are associated with phylogenetic relationships. PhyloVision provides a feature-rich, interactive, and shareable web-based report for investigating these modules while also supporting several other data and meta-data exploration capabilities. We demonstrate the utility of PhyloVision using a published dataset of metastatic lung adenocarcinoma cells, whose phylogeny was resolved using a CRISPR-Cas9-based lineage-tracing system. Together, we anticipate that PhyloVision and the methods it implements will be a useful resource for scalable and intuitive data exploration for any assay that simultaneously measures cell state and lineage.
Collapse
Affiliation(s)
- Matthew G. Jones
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720 USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720 USA
- Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, CA 94143, USA
- Whitehead Institute, Cambridge, MA 02142 USA
| | - Yanay Rosen
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720 USA
| | - Nir Yosef
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA 94720 USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720 USA
- Chan Zuckerberg Biohub Investigator, San Francisco, CA 94158 USA
- Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02114 USA
| |
Collapse
|
10
|
Gong W, Granados AA, Hu J, Jones MG, Raz O, Salvador-Martínez I, Zhang H, Chow KHK, Kwak IY, Retkute R, Prusokiene A, Prusokas A, Khodaverdian A, Zhang R, Rao S, Wang R, Rennert P, Saipradeep VG, Sivadasan N, Rao A, Joseph T, Srinivasan R, Peng J, Han L, Shang X, Garry DJ, Yu T, Chung V, Mason M, Liu Z, Guan Y, Yosef N, Shendure J, Telford MJ, Shapiro E, Elowitz MB, Meyer P. Benchmarked approaches for reconstruction of in vitro cell lineages and in silico models of C. elegans and M. musculus developmental trees. Cell Syst 2021; 12:810-826.e4. [PMID: 34146472 DOI: 10.1016/j.cels.2021.05.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 02/01/2021] [Accepted: 05/11/2021] [Indexed: 12/20/2022]
Abstract
The recent advent of CRISPR and other molecular tools enabled the reconstruction of cell lineages based on induced DNA mutations and promises to solve the ones of more complex organisms. To date, no lineage reconstruction algorithms have been rigorously examined for their performance and robustness across dataset types and number of cells. To benchmark such methods, we decided to organize a DREAM challenge using in vitro experimental intMEMOIR recordings and in silico data for a C. elegans lineage tree of about 1,000 cells and a Mus musculus tree of 10,000 cells. Some of the 22 approaches submitted had excellent performance, but structural features of the trees prevented optimal reconstructions. Using smaller sub-trees as training sets proved to be a good approach for tuning algorithms to reconstruct larger trees. The simulation and reconstruction methods here generated delineate a potential way forward for solving larger cell lineage trees such as in mouse.
Collapse
Affiliation(s)
- Wuming Gong
- Lillehei Heart Institute, University of Minnesota, 2231 6th St S.E, 4-165 CCRB, Minneapolis, MN 55114, USA
| | | | - Jingyuan Hu
- Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Matthew G Jones
- Department of Electrical Engineering & Computer Science, University of California, Berkeley, Berkeley, CA, USA; Integrative Program of Quantitative Biology, University of California, San Francisco, San Francisco, CA, USA
| | - Ofir Raz
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 761001, Israel
| | - Irepan Salvador-Martínez
- Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK
| | - Hanrui Zhang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ke-Huan K Chow
- California Institute of Technology, Pasadena, CA 91125, USA
| | - Il-Youp Kwak
- Department of Applied Statistics, College of Business & Economics, Chung-Ang University, 84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea
| | - Renata Retkute
- Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK
| | - Alisa Prusokiene
- School of Natural and Environmental Sciences, Newcastle University, Newcastle NE1 7RU, UK
| | | | - Alex Khodaverdian
- Department of Electrical Engineering & Computer Science, University of California, Berkeley, Berkeley, CA, USA
| | - Richard Zhang
- Department of Electrical Engineering & Computer Science, University of California, Berkeley, Berkeley, CA, USA
| | - Suhas Rao
- Department of Electrical Engineering & Computer Science, University of California, Berkeley, Berkeley, CA, USA
| | - Robert Wang
- Department of Electrical Engineering & Computer Science, University of California, Berkeley, Berkeley, CA, USA
| | - Phil Rennert
- EC Wise Inc., 1299 4th St #505, San Rafael, CA 94901, USA
| | | | - Naveen Sivadasan
- TCS Research and Innovation, Tata Consultancy Services, Hyderabad 500019, India
| | - Aditya Rao
- TCS Research and Innovation, Tata Consultancy Services, Hyderabad 500019, India
| | - Thomas Joseph
- TCS Research and Innovation, Tata Consultancy Services, Hyderabad 500019, India
| | - Rajgopal Srinivasan
- TCS Research and Innovation, Tata Consultancy Services, Hyderabad 500019, India
| | - Jiajie Peng
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
| | - Lu Han
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
| | - Xuequn Shang
- School of Computer Science, Northwestern Polytechnical University, Xi'an, China
| | - Daniel J Garry
- Lillehei Heart Institute, University of Minnesota, 2231 6th St S.E, 4-165 CCRB, Minneapolis, MN 55114, USA
| | - Thomas Yu
- Sage Bionetworks, 2901 3rd Ave #330, Seattle, WA 98121, USA
| | - Verena Chung
- Sage Bionetworks, 2901 3rd Ave #330, Seattle, WA 98121, USA
| | - Michael Mason
- Sage Bionetworks, 2901 3rd Ave #330, Seattle, WA 98121, USA
| | - Zhandong Liu
- Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yuanfang Guan
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Nir Yosef
- Department of Electrical Engineering & Computer Science, University of California, Berkeley, Berkeley, CA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA; Howard Hughes Medical Institute, Seattle, WA, USA
| | - Maximilian J Telford
- Centre for Life's Origins and Evolution, Department of Genetics, Evolution and Environment, University College London, Gower Street, London WC1E 6BT, UK
| | - Ehud Shapiro
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 761001, Israel
| | | | - Pablo Meyer
- T.J. Watson Research Center, IBM, Healthcare & Life Sciences, 1101 Kitchawan Rd 10598, Yorktown Heights, NY 10598, USA.
| |
Collapse
|
11
|
Wallis TJM, Heiden E, Horno J, Welham B, Burke H, Freeman A, Dexter L, Fazleen A, Kong A, McQuitty C, Watson M, Poole S, Brendish NJ, Clark TW, Wilkinson TMA, Jones MG, Marshall BG. Risk factors for persistent abnormality on chest radiographs at 12-weeks post hospitalisation with PCR confirmed COVID-19. Respir Res 2021; 22:157. [PMID: 34020644 PMCID: PMC8139368 DOI: 10.1186/s12931-021-01750-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [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] [Received: 01/04/2021] [Accepted: 05/17/2021] [Indexed: 02/06/2023] Open
Abstract
Background The long-term consequences of COVID-19 remain unclear. There is concern a proportion of patients will progress to develop pulmonary fibrosis. We aimed to assess the temporal change in CXR infiltrates in a cohort of patients following hospitalisation for COVID-19.
Methods We conducted a single-centre prospective cohort study of patients admitted to University Hospital Southampton with confirmed SARS-CoV2 infection between 20th March and 3rd June 2020. Patients were approached for standard-of-care follow-up 12-weeks after hospitalisation. Inpatient and follow-up CXRs were scored by the assessing clinician for extent of pulmonary infiltrates; 0–4 per lung (Nil = 0, < 25% = 1, 25–50% = 2, 51–75% = 3, > 75% = 4).
Results 101 patients with paired CXRs were included. Demographics: 53% male with a median (IQR) age 53.0 (45–63) years and length of stay 9 (5–17.5) days. The median CXR follow-up interval was 82 (77–86) days with median baseline and follow-up CXR scores of 4.0 (3–5) and 0.0 (0–1) respectively. 32% of patients had persistent CXR abnormality at 12-weeks. In multivariate analysis length of stay (LOS), smoking-status and obesity were identified as independent risk factors for persistent CXR abnormality. Serum LDH was significantly higher at baseline and at follow-up in patients with CXR abnormalities compared to those with resolution. A 5-point composite risk score (1-point each; LOS ≥ 15 days, Level 2/3 admission, LDH > 750 U/L, obesity and smoking-status) strongly predicted risk of persistent radiograph abnormality (0.81). Conclusion Persistent CXR abnormality 12-weeks post COVID-19 was common in this cohort. LOS, obesity, increased serum LDH, and smoking-status were risk factors for radiograph abnormality. These findings require further prospective validation. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-021-01750-8.
Collapse
Affiliation(s)
- T J M Wallis
- Department of Respiratory Medicine and Southampton NIHR Biomedical Research Centre, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK. .,NIHR Southampton Biomedical Research Centre Research Fellow, University of Southampton, MP218 D-Level South Academic Block University Hospital Southampton, Southampton, SO16 6YD, UK.
| | - E Heiden
- Department of Respiratory Medicine, University Hospital Southampton, Southampton, UK
| | - J Horno
- Department of Respiratory Medicine, University Hospital Southampton, Southampton, UK
| | - B Welham
- Department of Respiratory Medicine, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - H Burke
- Department of Respiratory Medicine, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - A Freeman
- Department of Respiratory Medicine, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - L Dexter
- Department of Respiratory Medicine, University Hospital Southampton, Southampton, UK
| | - A Fazleen
- Department of Respiratory Medicine, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - A Kong
- Department of Respiratory Medicine and Southampton NIHR Biomedical Research Centre, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - C McQuitty
- Department of Respiratory Medicine and Southampton NIHR Biomedical Research Centre, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - M Watson
- Department of Respiratory Medicine, University Hospital Southampton, Southampton, UK
| | - S Poole
- Department of Infection and Southampton NIHR Biomedical Research Centre, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - N J Brendish
- Department of Infection, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - T W Clark
- Department of Infection and Southampton NIHR Biomedical Research Centre, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - T M A Wilkinson
- Department of Respiratory Medicine and Southampton NIHR Biomedical Research Centre, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - M G Jones
- Department of Respiratory Medicine and Southampton NIHR Biomedical Research Centre, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - B G Marshall
- Department of Respiratory Medicine and Southampton NIHR Biomedical Research Centre, University Hospital Southampton and School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| |
Collapse
|
12
|
Quinn JJ, Jones MG, Okimoto RA, Nanjo S, Chan MM, Yosef N, Bivona TG, Weissman JS. Single-cell lineages reveal the rates, routes, and drivers of metastasis in cancer xenografts. Science 2021; 371:eabc1944. [PMID: 33479121 PMCID: PMC7983364 DOI: 10.1126/science.abc1944] [Citation(s) in RCA: 127] [Impact Index Per Article: 42.3] [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: 04/16/2020] [Revised: 09/23/2020] [Accepted: 12/17/2020] [Indexed: 12/11/2022]
Abstract
Detailed phylogenies of tumor populations can recount the history and chronology of critical events during cancer progression, such as metastatic dissemination. We applied a Cas9-based, single-cell lineage tracer to study the rates, routes, and drivers of metastasis in a lung cancer xenograft mouse model. We report deeply resolved phylogenies for tens of thousands of cancer cells traced over months of growth and dissemination. This revealed stark heterogeneity in metastatic capacity, arising from preexisting and heritable differences in gene expression. We demonstrate that these identified genes can drive invasiveness and uncovered an unanticipated suppressive role for KRT17 We also show that metastases disseminated via multidirectional tissue routes and complex seeding topologies. Overall, we demonstrate the power of tracing cancer progression at subclonal resolution and vast scale.
Collapse
Affiliation(s)
- Jeffrey J Quinn
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Inscripta, Inc., Boulder, CO, USA
| | - Matthew G Jones
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, CA, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Ross A Okimoto
- UCSF Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Shigeki Nanjo
- UCSF Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Michelle M Chan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Nir Yosef
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA.
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub Investigator, San Francisco, CA, USA
- Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA, USA
| | - Trever G Bivona
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- UCSF Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| |
Collapse
|
13
|
Newberry RW, Arhar T, Costello J, Hartoularos GC, Maxwell AM, Naing ZZC, Pittman M, Reddy NR, Schwarz DMC, Wassarman DR, Wu TS, Barrero D, Caggiano C, Catching A, Cavazos TB, Estes LS, Faust B, Fink EA, Goldman MA, Gomez YK, Gordon MG, Gunsalus LM, Hoppe N, Jaime-Garza M, Johnson MC, Jones MG, Kung AF, Lopez KE, Lumpe J, Martyn C, McCarthy EE, Miller-Vedam LE, Navarro EJ, Palar A, Pellegrino J, Saylor W, Stephens CA, Strickland J, Torosyan H, Wankowicz SA, Wong DR, Wong G, Redding S, Chow ED, DeGrado WF, Kampmann M. Robust Sequence Determinants of α-Synuclein Toxicity in Yeast Implicate Membrane Binding. ACS Chem Biol 2020; 15:2137-2153. [PMID: 32786289 DOI: 10.1021/acschembio.0c00339] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Protein conformations are shaped by cellular environments, but how environmental changes alter the conformational landscapes of specific proteins in vivo remains largely uncharacterized, in part due to the challenge of probing protein structures in living cells. Here, we use deep mutational scanning to investigate how a toxic conformation of α-synuclein, a dynamic protein linked to Parkinson's disease, responds to perturbations of cellular proteostasis. In the context of a course for graduate students in the UCSF Integrative Program in Quantitative Biology, we screened a comprehensive library of α-synuclein missense mutants in yeast cells treated with a variety of small molecules that perturb cellular processes linked to α-synuclein biology and pathobiology. We found that the conformation of α-synuclein previously shown to drive yeast toxicity-an extended, membrane-bound helix-is largely unaffected by these chemical perturbations, underscoring the importance of this conformational state as a driver of cellular toxicity. On the other hand, the chemical perturbations have a significant effect on the ability of mutations to suppress α-synuclein toxicity. Moreover, we find that sequence determinants of α-synuclein toxicity are well described by a simple structural model of the membrane-bound helix. This model predicts that α-synuclein penetrates the membrane to constant depth across its length but that membrane affinity decreases toward the C terminus, which is consistent with orthogonal biophysical measurements. Finally, we discuss how parallelized chemical genetics experiments can provide a robust framework for inquiry-based graduate coursework.
Collapse
Affiliation(s)
- Robert W. Newberry
- Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94143, United States
| | - Taylor Arhar
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, California 94143, United States
| | - Jean Costello
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - George C. Hartoularos
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Alison M. Maxwell
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, California 94143, United States
| | - Zun Zar Chi Naing
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Maureen Pittman
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Nishith R. Reddy
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Daniel M. C. Schwarz
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, California 94143, United States
| | - Douglas R. Wassarman
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, California 94143, United States
| | - Taia S. Wu
- Chemistry and Chemical Biology Graduate Program, University of California, San Francisco, California 94143, United States
| | - Daniel Barrero
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Christa Caggiano
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Adam Catching
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Taylor B. Cavazos
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Laurel S. Estes
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Bryan Faust
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Elissa A. Fink
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Miriam A. Goldman
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Yessica K. Gomez
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - M. Grace Gordon
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Laura M. Gunsalus
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Nick Hoppe
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Maru Jaime-Garza
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Matthew C. Johnson
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Matthew G. Jones
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Andrew F. Kung
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Kyle E. Lopez
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Jared Lumpe
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Calla Martyn
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Elizabeth E. McCarthy
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Lakshmi E. Miller-Vedam
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Erik J. Navarro
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Aji Palar
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Jenna Pellegrino
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Wren Saylor
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Christina A. Stephens
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Jack Strickland
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Hayarpi Torosyan
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Stephanie A. Wankowicz
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Daniel R. Wong
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Garrett Wong
- Integrative Program in Quantitative Biology, University of California, San Francisco, California 94143, United States
| | - Sy Redding
- Department of Biochemistry and Biophysics, University of California, San Francisco, California 94143, United States
| | - Eric D. Chow
- Department of Biochemistry and Biophysics, University of California, San Francisco, California 94143, United States
| | - William F. DeGrado
- Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94143, United States
| | - Martin Kampmann
- Department of Biochemistry and Biophysics, University of California, San Francisco, California 94143, United States
- Institute for Neurodegenerative Disease, University of California, San Francisco, California 94143, United States
- Chan Zuckerberg Biohub, San Francisco, California 94158, United States
| |
Collapse
|
14
|
Jones MG, Khodaverdian A, Quinn JJ, Chan MM, Hussmann JA, Wang R, Xu C, Weissman JS, Yosef N. Inference of single-cell phylogenies from lineage tracing data using Cassiopeia. Genome Biol 2020; 21:92. [PMID: 32290857 PMCID: PMC7155257 DOI: 10.1186/s13059-020-02000-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [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: 10/30/2019] [Accepted: 03/13/2020] [Indexed: 12/14/2022] Open
Abstract
The pairing of CRISPR/Cas9-based gene editing with massively parallel single-cell readouts now enables large-scale lineage tracing. However, the rapid growth in complexity of data from these assays has outpaced our ability to accurately infer phylogenetic relationships. First, we introduce Cassiopeia-a suite of scalable maximum parsimony approaches for tree reconstruction. Second, we provide a simulation framework for evaluating algorithms and exploring lineage tracer design principles. Finally, we generate the most complex experimental lineage tracing dataset to date, 34,557 human cells continuously traced over 15 generations, and use it for benchmarking phylogenetic inference approaches. We show that Cassiopeia outperforms traditional methods by several metrics and under a wide variety of parameter regimes, and provide insight into the principles for the design of improved Cas9-enabled recorders. Together, these should broadly enable large-scale mammalian lineage tracing efforts. Cassiopeia and its benchmarking resources are publicly available at www.github.com/YosefLab/Cassiopeia.
Collapse
Affiliation(s)
- Matthew G Jones
- Biological and Medical Informatics Graduate Program, University of California San Francisco, San Francisco, CA, USA
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alex Khodaverdian
- Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Jeffrey J Quinn
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Center for RNA Systems Biology, University of California San Francisco, San Francisco, CA, USA
| | - Michelle M Chan
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Center for RNA Systems Biology, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey A Hussmann
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Center for RNA Systems Biology, University of California San Francisco, San Francisco, CA, USA
- University of California, San Francisco, Department of Microbiology and Immunology, San Francisco, California, USA
| | - Robert Wang
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Chenling Xu
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Jonathan S Weissman
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
- Center for RNA Systems Biology, University of California San Francisco, San Francisco, CA, USA.
| | - Nir Yosef
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA.
- Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA.
- Ragon Institute of Massachusetts General Hospital - MIT and Harvard, Cambridge, MA, USA.
- Chan Zuckerberg Biohub Investigator, San Francisco, CA, USA.
| |
Collapse
|
15
|
DeTomaso D, Jones MG, Subramaniam M, Ashuach T, Ye CJ, Yosef N. Functional interpretation of single cell similarity maps. Nat Commun 2019; 10:4376. [PMID: 31558714 PMCID: PMC6763499 DOI: 10.1038/s41467-019-12235-0] [Citation(s) in RCA: 114] [Impact Index Per Article: 22.8] [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: 11/26/2018] [Accepted: 08/23/2019] [Indexed: 12/11/2022] Open
Abstract
We present Vision, a tool for annotating the sources of variation in single cell RNA-seq data in an automated and scalable manner. Vision operates directly on the manifold of cell-cell similarity and employs a flexible annotation approach that can operate either with or without preconceived stratification of the cells into groups or along a continuum. We demonstrate the utility of Vision in several case studies and show that it can derive important sources of cellular variation and link them to experimental meta-data even with relatively homogeneous sets of cells. Vision produces an interactive, low latency and feature rich web-based report that can be easily shared among researchers, thus facilitating data dissemination and collaboration. The increasing accessibility of single cell RNA sequencing demands tools that enable data visualization and interpretation. Here, the authors introduce Vision, a flexible annotation tool that operates directly on the manifold of cell-cell similarity and aids interpretation of cellular heterogeneity.
Collapse
Affiliation(s)
- David DeTomaso
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Matthew G Jones
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, CA, USA
| | - Meena Subramaniam
- Biological and Medical Informatics Graduate Program, University of California, San Francisco, CA, USA
| | - Tal Ashuach
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Chun J Ye
- Department of Epidemiology and Biostatistics, Department of Bioengineering and Therapeutic Sciences, Institute for Human Genetics, University of California, San Francisco, CA, USA
| | - Nir Yosef
- Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA. .,Ragon Institute of Massachusetts General Hospital, MIT and Harvard, Cambridge, MA, USA. .,Chan-Zuckerberg Biohub, San Francisco, CA, 94158, USA.
| |
Collapse
|
16
|
Chan MM, Smith ZD, Grosswendt S, Kretzmer H, Norman TM, Adamson B, Jost M, Quinn JJ, Yang D, Jones MG, Khodaverdian A, Yosef N, Meissner A, Weissman JS. Molecular recording of mammalian embryogenesis. Nature 2019; 570:77-82. [PMID: 31086336 PMCID: PMC7229772 DOI: 10.1038/s41586-019-1184-5] [Citation(s) in RCA: 192] [Impact Index Per Article: 38.4] [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: 07/02/2018] [Accepted: 04/10/2019] [Indexed: 01/04/2023]
Abstract
Ontogeny describes the emergence of complex multicellular organisms from single totipotent cells. This field is particularly challenging in mammals, owing to the indeterminate relationship between self-renewal and differentiation, variation in progenitor field sizes, and internal gestation in these animals. Here we present a flexible, high-information, multi-channel molecular recorder with a single-cell readout and apply it as an evolving lineage tracer to assemble mouse cell-fate maps from fertilization through gastrulation. By combining lineage information with single-cell RNA sequencing profiles, we recapitulate canonical developmental relationships between different tissue types and reveal the nearly complete transcriptional convergence of endodermal cells of extra-embryonic and embryonic origins. Finally, we apply our cell-fate maps to estimate the number of embryonic progenitor cells and their degree of asymmetric partitioning during specification. Our approach enables massively parallel, high-resolution recording of lineage and other information in mammalian systems, which will facilitate the construction of a quantitative framework for understanding developmental processes.
Collapse
Affiliation(s)
- Michelle M Chan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Zachary D Smith
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Stefanie Grosswendt
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Helene Kretzmer
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Thomas M Norman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Britt Adamson
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Department of Molecular Biology, Lewis Sigler Institute, Princeton University, Princeton, NJ, USA
| | - Marco Jost
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey J Quinn
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Dian Yang
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Matthew G Jones
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, CA, USA
| | - Alex Khodaverdian
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Nir Yosef
- Department of Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA, USA
| | - Alexander Meissner
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA.
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany.
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
| |
Collapse
|
17
|
Abstract
OBJECTIVES Animal-assisted therapy (AAT) is a growing field in Australia, and therapy dogs are becoming increasingly common in clinical settings. This paper aims to highlight the current issues facing AAT in Australia and to make recommendations on how to progress the field. We acknowledge that there are several ways that therapy dogs may enhance treatment outcomes for clients, such as reductions in stress and acute anxious arousal, and improvements in engagement and rapport. These psychological and physiological advantages, however, may not be sustained once interaction with the dog ceases. Clinicians require adequate training and support to develop and implement interventions that are based on sound theoretical foundations, and take advantage of the adjunctive benefits of animal presence. CONCLUSIONS A series of recommendations are made for the professionalisation of AAT, including the development of consensus definitions, clinical governance, accreditation, research and evaluation.
Collapse
Affiliation(s)
- M G Jones
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, and; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, and; Lead the Way, Animal-Assisted Interventions Institute, Melbourne, VIC, Australia
| | - S M Rice
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, and; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - S M Cotton
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, and; Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| |
Collapse
|
18
|
Jones MG, Andreou AP, McMahon SB, Spanswick D. Pharmacology of reflex blinks in the rat: a novel model for headache research. J Headache Pain 2016; 17:96. [PMID: 27770405 PMCID: PMC5074984 DOI: 10.1186/s10194-016-0686-x] [Citation(s) in RCA: 2] [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: 06/02/2016] [Accepted: 09/29/2016] [Indexed: 11/10/2022] Open
Abstract
Background Migraineurs are highly sensitive to the nitric oxide donor glyceryl trinitrate which triggers attacks in many sufferers. In animal studies, glyceryl trinitrate increases neuronal activity in the trigeminovascular pathway and elevates neurotransmitter levels in the brainstem. Many migraineurs also display alterations in blink reflexes, known to involve brainstem circuits. We investigated the effect of GTN on evoked blinks in the anaesthetised rat to determine whether such reflexes may prove useful as the basis for a novel animal model to evaluate potential anti-migraine therapeutic agents. Method In anaesthetised rats the electromyogram associated with the reflex blink evoked by corneal airpuff was recorded. Rats were infused with glyceryl trinitrate, sumatriptan plus glyceryl trinitrate or vehicle control. Changes in the magnitude of the reflex blink-associated electromyogram following these treatments were measured. Results Glyceryl trinitrate potentiated the evoked reflex blink-associated EMG response from 2 h after infusion. That effect was abolished by simultaneous infusion of sumatriptan with glyceryl trinitrate. Conclusions These results show that simple skin surface measurements of evoked electromyographic activity in the rat can reliably detect the evoked blink reflex that can be potentiated by nitric oxide donors. This novel model may be an effective tool for evaluating putative anti-migraine therapeutic agents.
Collapse
Affiliation(s)
- M G Jones
- Neurorestoration Group, Wolfson Centre for Age-Related Disease, Kings College London, London, UK. .,Zenith NeuroTech, Wolfson Centre for Age-Related Disease, Kings College London, London, UK.
| | - A P Andreou
- Academic Headache Centre, Wolfson Centre for Age-Related Disease, Kings College London, London, UK.,London and Pain Management and Neuromodulation Centre, St Thomas's Hospital, London, UK
| | - S B McMahon
- Neurorestoration Group, Wolfson Centre for Age-Related Disease, Kings College London, London, UK
| | - D Spanswick
- Neurosolutions Ltd., University of Warwick, Coventry, UK
| |
Collapse
|
19
|
Fletcher SV, Jones MG, Renzoni E, Parfrey H, Hoyles R, Spinks K, Kokosi M, Kwok A, Warburton C, Titmuss V, Maher T, Chua F, Wells A, Richeldi L, Spencer LG. P9 Nintedanib for the treatment of Idiopathic Pulmonary Fibrosis – initial clinical experience in a UK cohort. Thorax 2015. [DOI: 10.1136/thoraxjnl-2015-207770.146] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
20
|
Muzny CA, Harbison HS, Whittington AM, Whidden RL, Richter SS, Jones MG, Austin EL, Hook EW. YI.3 Sexually Transmitted Infections (STIs) Vary Among African American Women Who Have Sex with Women Based on Exposure to Male Sexual Partners. Br J Vener Dis 2013. [DOI: 10.1136/sextrans-2013-051184.0080] [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: 11/04/2022]
|
21
|
Jones MG, Butterfield K, McConnell W. P35 A Physiologist-Led Interstitial Lung Disease Follow Up Service: Experiences and Outcomes in a UK District General Hospital. Thorax 2012. [DOI: 10.1136/thoraxjnl-2012-202678.176] [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: 11/03/2022]
|
22
|
Calderwood CJ, Jones MG, Hoile L, Havelock T, Maher TM, O’Reilly KMA, Davies DE. P113 Secreted Lysyl Oxidase is Elevated in the Bronchoalveolar Lavage Fluid of Patients with Idiopathic Pulmonary Fibrosis. Thorax 2012. [DOI: 10.1136/thoraxjnl-2012-202678.396] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
|
23
|
|
24
|
Jones MG, De Mel S, Cortes NJ, Kurukulaaratchy RJ, O'Reilly KMA. Cough, confusion and flaccid paralysis in a 46-year old man with left apical consolidation and ring-enhancing lesions on cerebral imaging. Thorax 2009; 64:862, 920. [DOI: 10.1136/thx.2009.116293] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
|
25
|
Boyton RJ, Reynolds C, Wahid FN, Jones MG, Ozerovitch L, Ahmad T, Chaudhry A, Jewell DP, Kon OM, Smith J, Rose M, Newman-Taylor AJ, Cole P, Wilson R, Altmann DM. IFN? and CXCR-1 gene polymorphisms in idiopathic bronchiectasis. ACTA ACUST UNITED AC 2006; 68:325-30. [PMID: 17026468 DOI: 10.1111/j.1399-0039.2006.00670.x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.2] [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] [Indexed: 11/30/2022]
Abstract
Idiopathic bronchiectasis is a disease of chronic, bacterial lung infection, unresolving inflammation and progressive lung damage. Bronchiectasis can be associated with autoimmune diseases including ulcerative colitis. Defects of both innate and adaptive immunity have been proposed. The airway inflammation is characterized by interleukin-8 (IL-8) expression and infiltration by neutrophils and T cells. Here we investigated two candidate gene polymorphisms that may contribute to disease susceptibility: a CXCR-1 (+2607 G/C) gene polymorphism that is implicated in IL-8 binding and neutrophil trafficking as well as the interferon-gamma (IFNgamma) (+874 T/A) polymorphism which is linked to levels of IFNgamma production. These polymorphisms were distributed similarly in the idiopathic bronchiectasis group and controls, suggesting that these two candidate gene polymorphisms are not associated with disease susceptibility.
Collapse
Affiliation(s)
- R J Boyton
- Lung Immunology Group, Infection and Immunity & National Heart and Lung Institute, Sir Alexander Fleming Building, South Kensington Campus, Faculty of Medicine, Imperial College, London SW7 2AZ, UK.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Shipley JA, Duck FA, Goddard DA, Hillman MR, Halliwell M, Jones MG, Thomas BT. Automated quantitative volumetric breast ultrasound data-acquisition system. Ultrasound Med Biol 2005; 31:905-17. [PMID: 15972196 DOI: 10.1016/j.ultrasmedbio.2005.03.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2004] [Revised: 03/12/2005] [Accepted: 03/17/2005] [Indexed: 05/03/2023]
Abstract
This paper describes the development and initial testing of an automated ultrasound imaging technique to acquire quantitative volumetric breast data; the clinical application being breast cancer diagnosis and management. A novel mechanical scanner has been designed and constructed to constrain the breast tissue without compromising the image, to acquire images of the majority of the breast using a conventional B-mode scanner and to maintain patient comfort. An algorithm to improve upon simple depth-dependent amplification by compensating for tissue-dependent attenuation is applied to the images, making the grey-scale values represent local scattering properties more closely. Registration techniques have been developed to correct for geometric errors arising in the data set because of tissue movement and variations in speed of sound in the tissues. The data sets are reconstructed into volumes and viewed interactively. A pilot study of seven patients was performed and selected results are presented to illustrate lesion features. The automated scan reduces operator-dependence, provides clear information on the 3-D tissue boundaries and provides a full record for monitoring or surgical planning.
Collapse
Affiliation(s)
- J A Shipley
- Medical Physics Department, Royal United Hospital, Bath BA1 3NG, UK.
| | | | | | | | | | | | | |
Collapse
|
27
|
Lee PJ, Harrison EL, Jones MG, Jones S, Leonard JV, Chalmers RA. L-carnitine and exercise tolerance in medium-chain acyl-coenzyme A dehydrogenase (MCAD) deficiency: a pilot study. J Inherit Metab Dis 2005; 28:141-52. [PMID: 15877203 DOI: 10.1007/s10545-005-5262-5] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2004] [Accepted: 09/14/2004] [Indexed: 10/25/2022]
Abstract
Skeletal muscle function may be impaired in patients with medium-chain acyl-CoA dehydrogenase (MCAD) deficiency, but the value of L-carnitine in their long-term management is not clear. This study was designed as a pilot to examine the effects of L-carnitine on exercise tolerance in patients with MCAD deficiency. Four clinically asymoptomatic MCAD-deficient patients, aged 8 to 20 years, were studied. Incremental ramp exercise tests were carried out before and after 4 weeks' treatment with oral L-carnitine (100 mg/kg per day). During exercise without L-carnitine supplementation, plasma carnitine concentrations fell, associated with an increased excretion of urinary acylcarnitines, notably acetylcarnitine, hexanoylcarnitine and octanoylcarnitine. L-carnitine treatment prevented this fall in plasma carnitine and resulted in greater increases in excretion of acylcarnitines. All four patients showed biologically significant improvement in peak oxygen uptake (peak VO2, 18-32% improvement), VO2 at a heart rate of 170 beats/min (15-23% improvement), VO2 at anaerobic threshold (27-42% improvement), and/or oxygen pulse (10-32% improvement). Exercise tolerance in MCAD-deficient patients may be improved by short-term L-carnitine supplementation. This may be the direct result of improved intramitochondrial homeostasis induced by L-carnitine in removing accumulating acyl moieties.
Collapse
Affiliation(s)
- P J Lee
- Department of Child Health, St George's Hospital Medical School, London, UK.
| | | | | | | | | | | |
Collapse
|
28
|
Bain MD, Till J, Jones MG, Besley GTN, Lee P, Oliveira D, Chalmers RA. Methylmalonic aciduria: follow-up and enzymology on the original case after 36 years. J Inherit Metab Dis 2005; 28:1179-80. [PMID: 16435224 DOI: 10.1007/s10545-005-0244-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A 36-year follow-up on the original patient described with methylmalonic aciduria has shown that she has methylmalonyl-CoA apomutase deficiency. The main clinical problem associated with her methylmalonic aciduria is progressive renal impairment requiring commencement of haemodialysis at 42 years of age.
Collapse
Affiliation(s)
- M D Bain
- Paediatric Metabolism Unit, Division of Child Health, Department of Clinical Developmental Sciences, St George's Hospital Medical School, London, UK.
| | | | | | | | | | | | | |
Collapse
|
29
|
Hughes J, Tregova A, Tomsett AB, Jones MG, Cosstick R, Collin HA. Synthesis of the flavour precursor, alliin, in garlic tissue cultures. Phytochemistry 2005; 66:187-194. [PMID: 15652575 DOI: 10.1016/j.phytochem.2004.11.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 07/09/2004] [Indexed: 05/24/2023]
Abstract
The path of synthesis of alkyl cysteine sulphoxides, or flavour precursors, in the Alliums is still speculative. There are two proposed routes for alliin biosynthesis, one is from serine and allyl thiol while the other is from glutathione and an allyl source via gamma glutamyl peptides. The routes have been investigated by exposing undifferentiated callus cultures of garlic and onion to potential pathway intermediates. After a period of incubation of 2 days the callus was extracted, and analysed for flavour precursors and related compounds by HPLC. Standards of alliin, isoallin and propiin were synthesised and their identity confirmed by HPLC and NMR. Putative intermediates selected included the amino acids serine and cysteine, as well as more complex intermediates such as allylthiol, allyl cysteine and glutathione. Both garlic and onion tissue cultures were able to synthesize alliin following incubation with allylthiol, and cysteine conjugates such as allyl cysteine. The ability of the tissue cultures to form alliin from intermediates was compatible with the proposed routes of synthesis of alliin.
Collapse
Affiliation(s)
- J Hughes
- School of Biological Sciences, University of Liverpool, The Bioscience Building, Crown Street, Liverpool L69 7ZB, UK
| | | | | | | | | | | |
Collapse
|
30
|
Jones MG, Nielsen J, Welch J, Harris J, Welinder H, Bensryd I, Skerfving S, Welsh K, Venables KM, Taylor AN. Association of HLA-DQ5 and HLA-DR1 with sensitization to organic acid anhydrides. Clin Exp Allergy 2004; 34:812-6. [PMID: 15144476 DOI: 10.1111/j.1365-2222.2004.1956.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Organic acid anhydrides are low molecular weight industrial chemicals, able to cause rhinoconjunctivitis and asthma associated with specific IgE against hapten-carrier protein conjugate. Only a proportion of exposed workers develop IgE-associated allergy to acid anhydrides. OBJECTIVE We determined whether genetic susceptibility, in particular, HLA Class II alleles may be a risk factor. METHODS We undertook HLA typing in 52 cases who had confirmed specific IgE and in 73 referents matched on site, age and duration of acid anhydride exposure identified in cross-sectional studies of workers exposed to hexahydrophthalic (HHPA), methylhexahydrophthalic (MHHPA) and methyltetrahydrophthalic (MTHPA) anhydrides. RESULTS The linked alleles DQ5 (odds ratio [OR]=4.3; 95% confidence interval [95% CI]=1.7, 11) and DR1 (OR 3.0; 95% CI 1.2, 11) were more prevalent in cases than in referents. Within DQ5, DQB1(*)0501 was particularly frequent (OR 3.0; 95% CI 1.2, 7.4). CONCLUSION DQB1(*)05 gene confers susceptibility to develop specific IgE antibodies against HHPA, MHHPA and a non-significant trend with MTHPA. DQB1(*)0501 is protective for other low molecular chemical sensitizers (isocyanates and plicatic acid) which may indicate varying affinities for the corresponding specific class II molecules.
Collapse
Affiliation(s)
- M G Jones
- Department of Occupational and Environmental Medicine, National Heart and Lung Institute, Faculty of Medicine, Imperial College of Science, Technology and Medicine, London, UK.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
31
|
Lindsey K, Jones MG, Fish N. Direct gene transfer into plant protoplasts. Methods Mol Biol 2003; 4:519-36. [PMID: 21424662 DOI: 10.1385/0-89603-127-6:519] [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: 01/15/2023]
Abstract
The techniques of plant molecular biology have advanced rapidly in the last 5 yr, and, for a number of plant species, including some crops, it is now possible to bypass traditional plant breeding techniques and introduce specific genes directly. The earliest reports of the transformation of plants with foreign genes exploited the fact that the soil bacterium Agrobacterium tumefaciens, which induces the formation of crown galls, transfers part of a plasmid (the tumor-inducing, Ti, plasmid) into its host (e.g., ref. 1). The isolation and modification of this plasmid by the insertion of one or more structural genes together with regulatory elements has provided the means of genetically manipulating intact plants, cultured plant tissues, and protoplasts.
Collapse
Affiliation(s)
- K Lindsey
- Department of Biochemistry, Rothamsted Experimental Station, Hertfordshire, UK
| | | | | |
Collapse
|
32
|
Abstract
This article investigates the effect of sucrose addition on the formation of casein gels by acidification and/or renneting of pure micellar casein. Gelation kinetics and gel properties were followed by rheological methods, and microscopy and syneresis measurements were used to obtain a more complete characterization of the structures formed. Sucrose content has been identified as a key parameter for controlling the kinetics of aggregation and the strength of the final gels. Results have shown that the effect of sucrose on gelation can vary such that effects can be completely reversed depending on the gelation route used. During acid gelation, addition of up to 30% (wt/wt) sucrose causes gels to form more rapidly and at higher pH values, and to have higher viscoelastic moduli and a more homogeneous microstructure than those without sucrose. By contrast, gels formed by renneting in the presence of sucrose are weaker and have longer gelation times. It is proposed that sucrose reduces solvent quality and causes the collapse of the "hairy" kappa-casein brush on the surface of the casein micelles. This may explain why sucrose increases the possibility of gel formation during acidification and reduces the degree of kappa-casein hydrolysis during renneting.
Collapse
Affiliation(s)
- C Schorsch
- Unilever Research Colworth, Sharnbrook, Bedford MK44 1LQ UK
| | | | | |
Collapse
|
33
|
Tang NLS, Chung ML, Elia M, Hui E, Lum CM, Luk JKH, Jones MG, Woo J. Total daily energy expenditure in wasted chronic obstructive pulmonary disease patients. Eur J Clin Nutr 2002; 56:282-7. [PMID: 11965503 DOI: 10.1038/sj.ejcn.1601299] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.3] [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: 01/12/2001] [Revised: 06/25/2001] [Accepted: 07/02/2001] [Indexed: 11/09/2022]
Abstract
OBJECTIVES To investigate total daily energy expenditure in chronic obstructive pulmonary disease (COPD) patients during a rehabilitation programme. DESIGN Observational study involving a case and a control group. SUBJECTS Ten COPD patients (six with body mass index (BMI) <18.5 kg/m(2) and four with BMI >18.5 kg/m(2)) were evaluated for their energy expenditure profile. Four additional healthy age-matched volunteers were also included for methodology evaluation. INTERVENTIONS Measurements of total daily energy expenditure (TEE), resting energy expenditure (REE) and diet-induced thermogenesis (DIT) and energy intake were undertaken by indirect calorimetry and bicarbonate-urea methods and dietary records. RESULTS REE in COPD patients was not significantly different from that predicted by the Harris-Benedict equation. Before the exercise day the mean TEE was 1508 kcal/day and physical activity level (PAL as calculated by TEE/REE) was 1.52. On the exercise day the TEE increased to 1568 kcal/day and PAL was 1.60, but neither of these changes were significant. The energy cost of increased physical activity during rehabilitation exercise was estimated to be 191 kcal/day. No significant change was found in DIT between the two patient groups. However, overall energy balances were found to be negative (-363 kcal/day). CONCLUSION The rehabilitation programme did not cause a significant energy demand in COPD patients. TEE in COPD patients was not greater than in free-living healthy subjects. Patients, who were underweight, did not have a higher TEE than patients with normal weight. This suggested that malnutrition in COPD patients was not due to an increased energy expenditure. On the other hand, a significant negative energy balance due to insufficient energy intake was found in seven out of 10 patients.
Collapse
Affiliation(s)
- N L S Tang
- Department of Chemical Pathology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong, People's Republic of China.
| | | | | | | | | | | | | | | |
Collapse
|
34
|
Morozov IY, Galbis-Martinez M, Jones MG, Caddick MX. Characterization of nitrogen metabolite signalling in Aspergillus via the regulated degradation of areA mRNA. Mol Microbiol 2001; 42:269-77. [PMID: 11679084 DOI: 10.1046/j.1365-2958.2001.02636.x] [Citation(s) in RCA: 65] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AreA is the principal transcription factor involved in determining nitrogen utilization in Aspergillus nidulans. NH4+ and Gln are utilized preferentially but in their absence, AreA acts to facilitate the expression of genes involved in metabolizing alternative nitrogen sources. It is crucial to the function of AreA that its expression is tightly modulated by the quality and availability of nitrogen sources. One signalling mechanism involves regulated degradation of the areA transcript in response to NH4+ and Gln, which provides the first direct means of monitoring nitrogen signalling in this fungus. Here we assess the specificity of the transcript degradation response, determining that it responds qualitatively to a variety of additional nitrogen sources including Asn. Furthermore, the response to Gln and NH4+ requires the same discrete region of the areA 3'-UTR but both NH4+ and Asn need to be metabolized to Gln before they are effective as a signal. However, NH4+ signalling is independent of AreA activity, unlike Gln and Asn signalling. A mutation in the structural gene for NADP-linked glutamate dehydrogenase, gdhA, which disrupts metabolism of NH4+ to Glu, is additive with mutations in two distinct regions of areA that disrupt the previously identified signalling mechanisms. The triple mutant is both strongly derepressed and expresses very high levels of nitrate reductase activity. These data suggest nitrogen metabolism in A. nidulans is in part regulated in response to the intracellular levels of Gln via the regulated degradation of areA mRNA, but the intracellular Gln level is not the sole determinant of nitrogen metabolite repression.
Collapse
Affiliation(s)
- I Y Morozov
- Plant Science and Fungal Molecular Biology Research Group, School of Biological Sciences, Donnan Labs, The University of Liverpool, Liverpool L69 7ZD, UK
| | | | | | | |
Collapse
|
35
|
Jones MG, Lever I, Bingham S, Read S, McMahon SB, Parsons A. Nitric oxide potentiates response of trigeminal neurones to dural or facial stimulation in the rat. Cephalalgia 2001; 21:643-55. [PMID: 11531896 DOI: 10.1046/j.1468-2982.2001.00213.x] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Infusing glyceryl trinitrate as a donor molecule, we have used electrophysiological and c-fos immunostaining techniques to study the effects of nitric oxide on neurones in the nucleus trigeminalis caudalis. Following infusion of glyceryl trinitrate, responses of neurones to electrical stimulation of periorbital cutaneous afferents were potentiated and threshold for activation of neurones by stimulation of dural afferents was reduced. Expression of c-fos was unchanged by glyceryl trinitrate compared to saline controls. Intradermal injection of capsaicin in the periorbital area increased c-fos expression in nucleus trigeminalis caudalis; this was significantly potentiated by glyceryl trinitrate. These results suggest that, in the anaesthetized rat, glyceryl trinitrate alone may not acutely activate the trigeminovascular system to a significant degree at doses that cause headache and later trigger migraine headache in migraineurs. Nevertheless, it is susceptible to exogenous nitric oxide in that activation of trigeminal neurones through cutaneous or dural pathways is potentiated. This may in some measure underlie the pathogenesis of migraine headache.
Collapse
Affiliation(s)
- M G Jones
- Sensory Function Group, Centre for Neuroscience, Guy's, King's & St Thomas's Hospital Medical Schools, London, UK.
| | | | | | | | | | | |
Collapse
|
36
|
Lever IJ, Bradbury EJ, Cunningham JR, Adelson DW, Jones MG, McMahon SB, Marvizón JC, Malcangio M. Brain-derived neurotrophic factor is released in the dorsal horn by distinctive patterns of afferent fiber stimulation. J Neurosci 2001; 21:4469-77. [PMID: 11404434 PMCID: PMC6762751] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2001] [Revised: 03/13/2001] [Accepted: 03/26/2001] [Indexed: 02/20/2023] Open
Abstract
Brain-derived neurotrophic factor (BDNF) is synthesized by small neuron cell bodies in the dorsal root ganglia (DRG) and is anterogradely transported to primary afferent terminals in the dorsal horn where it is involved in the modulation of painful stimuli. Here we show that BDNF is released in the rat isolated dorsal horn after chemical stimulation by capsaicin or electrical stimulation of dorsal roots. Capsaicin superfusion (1-100 microm) induced a dose-dependent release of BDNF, measured using ELISA. The highest dose of capsaicin also induced a depletion of BDNF protein in the dorsal horn. BDNF release was also seen after electrical stimulation of the dorsal roots at C-fiber strength. This release was encoded by specific patterns of afferent fiber stimulation. Neither continuous low-frequency (480 pulses, 1 Hz) nor tetanic high-frequency (300 pulses in 3 trains, 100 Hz) stimulation evoked release of BDNF, although substance P (SP) release was observed under both of these conditions. However, BDNF was released after short bursts of high-frequency stimulation (300 pulses in 75 trains, 100 Hz) along with SP and glutamate. The NMDA antagonist d-AP-5 inhibited electrically evoked BDNF release. BDNF release was also measured after systemic or intrathecal NGF treatment. This upregulated BDNF content in the DRG and increased the capsaicin-evoked release of BDNF. Similarly, the amount of BDNF released by burst stimulation was increased after NGF treatment. This activity-dependent release continued to be encoded solely by this stimulation pattern. These experiments demonstrate that BDNF release in the dorsal horn is encoded by specific patterns of afferent fiber stimulation and is mediated by NMDA receptor activation.
Collapse
Affiliation(s)
- I J Lever
- Neuroscience Research Center and Department of Pharmacology, Guy's, King's, and St. Thomas' School of Biomedical Sciences, King's College London, London SE1 1UL, United Kingdom
| | | | | | | | | | | | | | | |
Collapse
|
37
|
Conlon H, Zadra I, Haas H, Arst HN, Jones MG, Caddick MX. The Aspergillus nidulans GATA transcription factor gene areB encodes at least three proteins and features three classes of mutation. Mol Microbiol 2001; 40:361-75. [PMID: 11309119 DOI: 10.1046/j.1365-2958.2001.02399.x] [Citation(s) in RCA: 41] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
In Aspergillus nidulans, the principal transcription factor regulating nitrogen metabolism, AREA, belongs to the GATA family of DNA-binding proteins. In seeking additional GATA factors, we have cloned areB, which was originally identified via a genetic screen for suppressors of areA loss-of-function mutations. Based on our analysis, areB is predicted to encode at least three distinct protein products. These arise from the use of two promoters, differential splicing and translation initiating at AUG and non-AUG start codons. All the putative products include a GATA domain and a putative Leu zipper. These regions show strong sequence similarity to regulatory proteins from Saccharomyces cerevisiae (Dal80p and Gzf3p), Penicillium chrysogenum (NREB) and Neurospora crassa (ASD4). We have characterized three classes of mutation in areB; the first are loss-of-function mutations that terminate the polypeptides within or before the GATA domain. The second class truncates the GATA factor either within or upstream of the putative Leu zipper but retains the GATA domain. The third class fuses novel gene sequences to areB with the potential to produce putative chimeric polypeptides. These novel gene fusions transform the putative negative-acting transcription factor into an activator that can partially replace areA.
Collapse
Affiliation(s)
- H Conlon
- Plant Science and Fungal Molecular Biology Research Group, School of Biological Sciences, Donnan Laboratories, The University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | | | | | | | | | | |
Collapse
|
38
|
Jones MG, Chalmers RA. Artefacts in organic acid analysis: occurrence and origin of partially trimethylsilylated 3-hydroxy-3-methyl carboxylic acids. Clin Chim Acta 2000; 300:203-12. [PMID: 10958876 DOI: 10.1016/s0009-8981(00)00324-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Previous reports of patients with 3-hydroxy-3-methylglutaric aciduria have described the occurrence of di-trimethylsilyl (TMS) and tri-TMS derivatives of 3-hydroxy-3-methylglutaric acid on analysis using gas chromatography and mass spectrometry, leading to difficulty in quantification and ambiguity in diagnosis. We have extracted organic acids from the urine of patients with 3-hydroxy-3-methylglutaric aciduria using a variety of procedures. Solvent extraction combined with hydrochloric acid/sodium chloride resulted in production of both di-TMS and tri-TMS derivatives of 3-hydroxy-3-methylglutaric acid and also mono-TMS and di-TMS derivatives of 3-hydroxyisovaleric acid. The effects were not abolished by heating. Use of sulphate-based reagents minimised artefact formation and use of DEAE-Sephadex anion exchange extraction resulted in single fully trimethylsilylated derivatives. Artefact formation during use of chloride-based reagents was abolished by pyridine added prior to trimethylsilylation. Chloride ions form adducts with hydroxyl groups in these 3-hydroxy-3-methyl carboxylic acids that prevent complete trimethylsilylation. Chloride-based reagents should be avoided in the solvent extraction of organic acids from physiological fluids or, if used, pre-treatment of the dried extract with pyridine is essential to avoid partial trimethylsilylation of 3-hydroxy-3-methyl carboxylic acids.
Collapse
Affiliation(s)
- M G Jones
- Paediatric Metabolism Unit, Department of Child Health, St George's Hospital Medical School, Cranmer Terrace, SW17 0RE, London, UK
| | | |
Collapse
|
39
|
Morozov IY, Martinez MG, Jones MG, Caddick MX. A defined sequence within the 3' UTR of the areA transcript is sufficient to mediate nitrogen metabolite signalling via accelerated deadenylation. Mol Microbiol 2000; 37:1248-57. [PMID: 10972840 DOI: 10.1046/j.1365-2958.2000.02085.x] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Nitrogen metabolism in Aspergillus nidulans is regulated by AREA, a member of the GATA family of transcription factors. One mechanism that modulates AREA activity involves the rapid degradation of the areA transcript when sufficient NH4+ or Gln are available. This signalling mechanism has been shown to require a region of 218 nucleotides within the 3' untranslated region of areA mRNA. We demonstrate that this region functions independently in a heterologous transcript and acts to accelerate degradation of the poly(A) tail, which in turn leads to rapid transcript degradation in response to the addition of NH4+ or Gln to the growth medium. areA transcript degradation is inhibited by cycloheximide, but this is not a general consequence of translational inhibition. We believe that this is the first reported example in which specific physiological signals, acting through a defined sequence within a transcript, have been shown to promote accelerated poly(A) degradation, which in turn triggers transcript degradation.
Collapse
Affiliation(s)
- I Y Morozov
- Plant Science and Fungal Molecular Biology Research Group, School of Biological Sciences, Donnan Laboratories, The University of Liverpool, Crown Street, Liverpool L69 7ZD, UK
| | | | | | | |
Collapse
|
40
|
Abstract
The development of allergic asthma is thought to involve environmental and inherited genetic components and has pathophysiological features reflecting in part the activity of T cell cytokines. Interleukin-13, a product primarily of activated lymphocytes, is considered to be a critical effector molecule in allergic airway response and has been found to be overexpressed in the airways of patients with asthma. The IL-13 gene is located on chromosome 5q31, one of the major loci to be linked to asthma susceptibility, and amongst a cluster of genes which dominate the immunopathology of allergic disease. Recently, an IL-13 promoter polymorphism was found to be associated with allergic asthma. In the present study we report the identification of four novel biallelic polymorphisms in the IL-13 gene, two intronic and two exonic, one of which results in a basic to hydrophilic amino acid change. We characterised the frequencies of these four biallelic polymorphisms and the frequencies of the haplotypes, resulting from the combination of these four biallelic polymorphisms, in a population of 196 UK Caucasoid healthy individuals.
Collapse
Affiliation(s)
- P Pantelidis
- Interstitial Lung Disease Unit, Imperial College of Science, Technology and Medicine, National Heart and Lung Institute, London, UK
| | | | | | | | | |
Collapse
|
41
|
Abstract
BACKGROUND Oilseed rape is an important crop grown in the UK which can cause specific immunological sensitization with clinical symptoms in a relatively small number of the general population. Individuals with immunoglobulin (Ig) E-mediated allergy to oilseed rape have also been found to be sensitized to other pollen allergens, most frequently being grass pollen. Cross-reactivity between common grass and oilseed rape would have important implications, especially as their flowering period coincides. OBJECTIVE We have investigated whether the cosensitization found in individuals sensitized to both oilseed rape and grass pollen is due to cross-reactivity. METHODS Cross-reactivity between oilseed rape and grass pollen was determined using RAST, RAST inhibition, Western blotting and inhibition studies with Western blotting. RESULTS Competitive RAST inhibition studies between pollen of oilseed rape and grass failed to show any cross-reactivity between the pollen types. Self-inhibition with oilseed rape resulted in 90% inhibition, whereas there was less than 10% inhibition with grass pollen. Western blotting revealed allergens of similar molecular weight in both oilseed rape and grass pollen. Despite allergens of similar molecular weights being present in both pollen types, inhibition immunoblot studies confirmed that the allergens in the two allergens were immunologically distinct. CONCLUSION The allergens of oilseed rape and grass pollen, although similar in molecular weights, are immunologically distinct and there is no evidence of cross-reactivity between them. Individuals allergic to grass pollen will not necessarily develop a specific nasal or airway response to inhaled oilseed rape pollens.
Collapse
Affiliation(s)
- J Welch
- Department of Occupational and Environmental Medicine, Imperial College (NHLI), London; 6 Sheperd's Close, Fen Ditton, Cambridge, UK
| | | | | | | | | |
Collapse
|
42
|
Jones MG, Welch J, Cullinan P, Newman Taylor AJ, Coates OA. Allergenicity of grass and oil seed rape pollen. Immunol Today 2000; 21:155-6. [PMID: 10689305 DOI: 10.1016/s0167-5699(00)01591-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
|
43
|
Abstract
The neuropeptide substance P (SP) modulates nociceptive transmission within the spinal cord. Normally, SP is uniquely contained in a subpopulation of small-calibre axons (Adelta- and C-fibres) within primary afferent nerve. However, it has been shown that after nerve transection, besides being downregulated in small axons, SP is expressed de novo in large myelinated Abeta-fibres. In this study we investigated whether, following peripheral nerve injury, SP was released de novo from the spinal cord after selective activation of Abeta-fibres. Spinal cords with dorsal roots attached were isolated in vitro from rats 2 weeks following distal sciatic axotomy or proximal spinal nerve lesion (SNL). The ipsilateral dorsal roots were electrically stimulated for two consecutive periods at low- or high-threshold fibre strength, spinal cord superfusates were collected and SP content was determined by radioimmunoassay. SNL, but not axotomized or control rat cords, released significant amounts of SP after selective activation of Abeta-fibres. Not only do these data support the idea that Abeta myelinated fibres contribute to neuropathic pain by releasing SP, they also illustrate the importance of the proximity of the lesion to the cell body.
Collapse
Affiliation(s)
- M Malcangio
- Neuroscience Research Centre, Guy's, King's and St Thomas's School of Biomedical Sciences, King's College London, London SE1 7EH, UK.
| | | | | | | |
Collapse
|
44
|
Jones MG. Perspectives. Use of telemedicine for home care ripe for experiment. Med Health 1998; 52:suppl 1-4. [PMID: 10186055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
|
45
|
Alavi A, Axford JS, Hay FC, Jones MG. Tissue-specific galactosyltransferase abnormalities in an experimental model of rheumatoid arthritis. Ann Med Interne (Paris) 1998; 149:251-60. [PMID: 9791557] [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] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
OBJECTIVE To investigate whether the observed pathophysiological similarities that develop in both the collagen induced experimental model of arthritis (CIA) and rheumatoid arthritis (RA) are associated with similar glycosylation changes, and to evaluate possible differences in the relative activity of the glycosylation enzyme beta, 1-4 galactosyltransferase (GTase) within various tissues, and thus provide a new insight into the potential pathogenic mechanisms controlling glycosylation changes. METHODS Lymphocytic membrane-bound GTase activity was examined in 30 mice with CIA, 30 age matched controls and 10 adjuvant treated non-arthritic DBA/1 mice. Tissue-specific changes were assessed by comparison of GTase activity in peripheral (P.GTase) and paired splenic lymphocytes. In addition, we also investigated the effect that these changes may exert on the overall extracellular level of this enzyme, by assaying serum GTase (S.GTase) activity in these and a further group of 27 arthritic and 20 control mice. To analyse this synthetic abnormality in greater depth and to investigate the relevance of these glycosylation changes to the pathogenesis of arthritis, we also examined the humoral regulatory component associated with this system by assaying for both anti-collagen as well as anti-GTase antibodies. RESULTS The induction of arthritis in DBA/1 mice results in a marked reduction in P.GTase activity, compared with age-matched unimmunised mice and the adjuvant controls. In contrast to the P.GTase, splenic GTase activity was found to be similar in all the groups examined. Correspondingly, serum GTase activity was also found to be significantly lower in the collagen induced arthritic mice. This overall reduction in beta, 1-4 GTase activity reflects the clinical severity of arthritis and is associated with increased levels of naturally occurring anti-GTase antibodies. CONCLUSIONS The GTase defect seen in the peripheral B and T cells in rheumatoid arthritis is also evident in the arthritic DBA/1 mouse model of RA. This may indicate a common pathological process in both rheumatoid disease and CIA, in which changes in glycosylation are dependent on the aberrant modulation of GTase in circulating, but not splenic lymphocytes. The relative expression and activity of glycosyltransferases within various tissues may not only contribute to immunoglobulin G (IgG) glycosylation changes, but perhaps also the aberrant expression of cell surface carbohydrates and thus cell trafficking.
Collapse
Affiliation(s)
- A Alavi
- Department of Cellular and Molecular Sciences, St George's Hospital Medical School, London, UK
| | | | | | | |
Collapse
|
46
|
Abstract
The effect of 4 weeks' treatment with oral-L-carnitine (100 mg/kg per day) on carnitine status and metabolic parameters during an incremental ramp exercise test in a 12-year-old girl with isovaleric acidaemia was examined to determine its possible therapeutic role. The maximum work rate achieved increased from 110 to 120 watts; oxygen consumption at anaerobic threshold from 600 to 800 L/min; peak oxygen consumption from 1270 to 1450 L/min; and oxygen pulse, a measure of cardiac output, from 7.0 to 8.1 L/beat. These changes were associated with increases in plasma and urinary free and acyl carnitine concentrations but no change in physical activity. This observed effect of L-carnitine on exercise performance may be on cardiac or skeletal muscle function or both. We conclude that, in this single patient with isovaleric acid-aemia, L-carnitine supplementation had objective benefits and further studies on more patients are warranted.
Collapse
Affiliation(s)
- P J Lee
- Department of Child Health, St George's Hospital Medical School, London, UK
| | | | | | | | | | | |
Collapse
|
47
|
Abstract
Pseudouridine in urine and plasma has been proved to be a useful tumour marker in many malignant conditions. We studied its usefulness in pleural fluid for distinguishing malignant from non-malignant pleural effusions. Pleural fluid pseudouridine concentrations in different groups of patients with pleural effusion (31 malignant, 29 benign, 16 unknown, 1 double pathology) was measured and compared. Its usefulness in distinguishing malignant from non-malignant pleural effusions was analysed by receiver-operating characteristic (ROC) curve analysis. Pseudouridine concentrations in the malignant group were significantly higher than the non-malignant group (P < 0.017, Bonferroni adjustment) with values overlapping extensively at the lower end. The area-under-the curve (AUC) value in the ROC curve analysis was 0.675 (P < 0.05). We conclude that the pleural fluid pseudouridine is of limited clinical value in distinguishing malignant from non-malignant pleural effusion due to its extensive overlap. However, it is useful when the concentration is higher than 65 mumol/L, which indicates malignancy.
Collapse
Affiliation(s)
- T W Mak
- Department of Chemical Pathology, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong
| | | | | | | | | | | |
Collapse
|
48
|
Cassar M, Jones MG, Szatkowski M. Reduced adenosine uptake accelerates ischaemic block of population spikes in hippocampal slices from streptozotocin-treated diabetic rats. Eur J Neurosci 1998; 10:239-45. [PMID: 9753132 DOI: 10.1046/j.1460-9568.1998.00035.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.6] [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] [Indexed: 11/20/2022]
Abstract
We have used rats with streptozotocin-induced diabetes to investigate the effects of hyperglycaemia-mediated impaired nucleoside uptake on the actions of endogenous adenosine in hippocampal slices. In control tissue under conditions of anoxia and aglycaemia the rise in the extracellular adenosine concentration resulted in complete inhibition of synaptic activity in about 2 min. In slices from previously hyperglycaemic rats the inhibition of synaptically mediated responses occurred significantly faster, although this change could be prevented by insulin treatment. Application of the selective adenosine A1 receptor antagonist [8-cyclopentyl-1,3-dipropylxanthine (DPCPX)] prevented the anoxia/aglycaemia-mediated inhibition and, furthermore, abolished the differences in the electrophysiological responses between control and diabetic tissue. The effects of impaired nucleoside uptake could be mimicked in control slices by applying the nucleoside uptake blocker hydroxynitrobenzylthioinosine (HNBTI). This had the effect of speeding up the rate of anoxia/aglycaemia-induced synaptic inhibition in control tissue to that seen in diabetic tissue. However, such treatment had no effect on the responses in diabetic tissue as expected if the HNBTI-sensitive uptake process was already inhibited by the chronic hyperglycaemia. The impairment of nucleoside uptake by chronic hyperglycaemia results in the potentiation of the modulatory actions of endogenous adenosine in the central nervous system. Such an alteration in adenosine function may be important in explaining behavioural and pathological changes associated with diabetes mellitus.
Collapse
Affiliation(s)
- M Cassar
- Department of Physiology & Biophysics, Imperial College School of Medicine at St. Mary's, London, UK
| | | | | |
Collapse
|
49
|
Asano N, Kato A, Kizu H, Matsui K, Griffiths RC, Jones MG, Watson AA, Nash RJ. Enzymatic synthesis of the glycosides of calystegines B1 and B2 and their glycosidase inhibitory activities. Carbohydr Res 1997; 304:173-8. [PMID: 9449768 DOI: 10.1016/s0008-6215(97)00227-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Several glycosides of calystegines B1 and B2 were synthesized by use of rice alpha-glucosidase and the whole cells of Rhodotorula lactosa, and their glycosidase inhibitory activities were investigated. Incubation of mixture of calystegine B1 and maltose with rice alpha-glucosidase gave 3-O-alpha-D-glucopyranosylcalystegine B1 (2, 11.3%). An enzymatic beta-transglucosylation reaction of calystegines B1 or B2 with cellobiose using the whole cells of R. lactosa gave 3-O-beta-D-glucopyranosylcalystegine B1 (1) (0.9%) or 4-O-beta-D-glucopyranosylcalystegine B2 (3, 11.2%), respectively, while similar beta-transgalactosylation of calystegine B2 from lactose gave 4-O-beta-D-galactopyranosylcalystegine B2 (4, 10.1%). The glycosylation of calystegines B1 and B2 markedly decreased or abolished their inhibition against beta-glucosidase, alpha- or beta-galactosidase. Compound 4 however retained more or less the potency of calystegine B2 against trehalase. Interestingly, compound 1 was a noncompetitive inhibitor of rice alpha-glucosidase, with a Ki value of 0.9 +/- 0.1 microM.
Collapse
Affiliation(s)
- N Asano
- Faculty of Pharmaceutical Sciences, Hokuriku University, Kanazawa, Japan
| | | | | | | | | | | | | | | |
Collapse
|
50
|
Jones MG. Telemedicine and the national information infrastructure: are the realities of health care being ignored? J Am Med Inform Assoc 1997; 4:399-412. [PMID: 9391928 PMCID: PMC61258 DOI: 10.1136/jamia.1997.0040399] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [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: 05/28/1997] [Accepted: 07/08/1997] [Indexed: 02/05/2023] Open
Abstract
Health care is shifting from a focus on hospital-based acute care toward prevention, promotion of wellness, and maintenance of function in community and home-based facilities. Telemedicine can facilitate this shifted focus, but the bulk of the current projects emphasize academic medical center consultations to rural hospitals. Home-based projects encounter barriers of cost and inadequate infrastructure. The 1996 Telecommunications Act as implemented by the Federal Communications commission holds out significant promise to overcome these barriers, although it has serious limitations in its application to health care providers. Health care advocates must work actively on the federal, state, and local public and private sector levels to address these shortcomings and develop cost effective partnerships with other community-based organizations to build network links to facilitate telemedicine-generated services to the home, where the majority of health care decisions are made.
Collapse
Affiliation(s)
- M G Jones
- Consumer Interest Research Institute, Washington, DC 20007, USA.
| |
Collapse
|