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Gan M, Lei Y, Wang K, Wang Y, Liao T, Ma J, Zhu L, Shen L. A dataset of hidden small non-coding RNA in the testis of heat-stressed models revealed by Pandora-seq. Sci Data 2024; 11:747. [PMID: 38982138 PMCID: PMC11233633 DOI: 10.1038/s41597-024-03612-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 07/05/2024] [Indexed: 07/11/2024] Open
Abstract
Infertility, a worldwide reproductive health concern, impacts approximately one in five couples. Male infertility, stemming from spermatogenic dysfunction and reduced sperm quality, stands as a primary factor contributing to infertility. Given the global decrease in male fertility linked to environmental factors like the greenhouse effect, it is crucial to develop a comprehensive understanding of how increased temperatures impact both the quantity and quality of sperm. In this study, we utilized Pandora-seq technology to detect the small non-coding RNAs (sncRNAs) expression profile in the testicular tissue of heat-stressed mice. The investigation explores the dynamic shifts in sncRNAs within the mouse testis under heat stress, including miRNAs, tsRNAs, piRNAs, rsRNAs and other sncRNAs. Furthermore, we successfully identified differentially expressed sncRNAs in testicular tissues before and after heat stress. Subsequently, we conducted functional enrichment analysis on the potential predicted target genes of differentially expressed miRNAs and tsRNAs. These datasets will constitute a valuable foundational resource for further investigations into the decline in male reproductive capacity triggered by heat stress.
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Affiliation(s)
- Mailin Gan
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, 611130, China
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yuhang Lei
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, 611130, China
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Kai Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, 611130, China
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Yan Wang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, 611130, China
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Tianci Liao
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, 611130, China
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jianfeng Ma
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, 611130, China
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Li Zhu
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China.
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Linyuan Shen
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, 611130, China.
- Key Laboratory of Livestock and Poultry Multi-omics, Ministry of Agriculture and Rural Affairs, College of Animal and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
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Wang H, Zhan Q, Ning M, Guo H, Wang Q, Zhao J, Bao P, Xing S, Chen S, Zuo S, Xia X, Li M, Wang P, Lu ZJ. Depletion-assisted multiplexed cell-free RNA sequencing reveals distinct human and microbial signatures in plasma versus extracellular vesicles. Clin Transl Med 2024; 14:e1760. [PMID: 39031987 PMCID: PMC11259601 DOI: 10.1002/ctm2.1760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 06/27/2024] [Accepted: 06/30/2024] [Indexed: 07/22/2024] Open
Abstract
BACKGROUND Cell-free long RNAs in human plasma and extracellular vesicles (EVs) have shown promise as biomarkers in liquid biopsy, despite their fragmented nature. METHODS To investigate these fragmented cell-free RNAs (cfRNAs), we developed a cost-effective cfRNA sequencing method called DETECTOR-seq (depletion-assisted multiplexed cell-free total RNA sequencing). DETECTOR-seq utilised a meticulously tailored set of customised guide RNAs to remove large amounts of unwanted RNAs (i.e., fragmented ribosomal and mitochondrial RNAs) in human plasma. Early barcoding strategy was implemented to reduce costs and minimise plasma requirements. RESULTS Using DETECTOR-seq, we conducted a comprehensive analysis of cell-free transcriptomes in both whole human plasma and EVs. Our analysis revealed discernible distributions of RNA types in plasma and EVs. Plasma exhibited pronounced enrichment in structured circular RNAs, tRNAs, Y RNAs and viral RNAs, while EVs showed enrichment in messenger RNAs (mRNAs) and signal recognition particle RNAs (srpRNAs). Functional pathway analysis highlighted RNA splicing-related ribonucleoproteins (RNPs) and antimicrobial humoral response genes in plasma, while EVs demonstrated enrichment in transcriptional activity, cell migration and antigen receptor-mediated immune signals. Our study indicates the comparable potential of cfRNAs from whole plasma and EVs in distinguishing cancer patients (i.e., colorectal and lung cancer) from healthy donors. And microbial cfRNAs in plasma showed potential in classifying specific cancer types. CONCLUSIONS Our comprehensive analysis of total and EV cfRNAs in paired plasma samples provides valuable insights for determining the need for EV purification in cfRNA-based studies. We envision the cost effectiveness and efficiency of DETECTOR-seq will empower transcriptome-wide investigations in the fields of cfRNAs and liquid biopsy. KEYPOINTS DETECTOR-seq (depletion-assisted multiplexed cell-free total RNA sequencing) enabled efficient and specific depletion of sequences derived from fragmented ribosomal and mitochondrial RNAs in plasma. Distinct human and microbial cell-free RNA (cfRNA) signatures in whole Plasma versus extracellular vesicles (EVs) were revealed. Both Plasma and EV cfRNAs were capable of distinguishing cancer patients from normal individuals, while microbial RNAs in Plasma cfRNAs enabled better classification of cancer types than EV cfRNAs.
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Affiliation(s)
- Hongke Wang
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life SciencesTsinghua UniversityBeijingChina
- Institute for Precision MedicineTsinghua UniversityBeijingChina
- Geneplus‐Beijing InstituteBeijingChina
| | - Qing Zhan
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life SciencesTsinghua UniversityBeijingChina
- Institute for Precision MedicineTsinghua UniversityBeijingChina
| | - Meng Ning
- Tianjin Third Central HospitalTianjinChina
| | - Hongjie Guo
- Department of Interventional Radiology and Vascular SurgeryPeking University First HospitalBeijingChina
| | - Qian Wang
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC‐DID), MST State Key Laboratory of Complex Severe and Rare Diseases, MOE Key Laboratory of Rheumatology and Clinical ImmunologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Jiuliang Zhao
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC‐DID), MST State Key Laboratory of Complex Severe and Rare Diseases, MOE Key Laboratory of Rheumatology and Clinical ImmunologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Pengfei Bao
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life SciencesTsinghua UniversityBeijingChina
- Institute for Precision MedicineTsinghua UniversityBeijingChina
- School of Life SciencesPeking University–Tsinghua University–National Institute of Biological Sciences Joint Graduate Program, Tsinghua UniversityBeijingChina
| | - Shaozhen Xing
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life SciencesTsinghua UniversityBeijingChina
- Institute for Precision MedicineTsinghua UniversityBeijingChina
| | - Shanwen Chen
- Gastrointestinal SurgeryPeking University First HospitalBeijingChina
| | - Shuai Zuo
- Gastrointestinal SurgeryPeking University First HospitalBeijingChina
| | | | - Mengtao Li
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC‐DID), MST State Key Laboratory of Complex Severe and Rare Diseases, MOE Key Laboratory of Rheumatology and Clinical ImmunologyPeking Union Medical College Hospital, Chinese Academy of Medical SciencesBeijingChina
| | - Pengyuan Wang
- Gastrointestinal SurgeryPeking University First HospitalBeijingChina
| | - Zhi John Lu
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life SciencesTsinghua UniversityBeijingChina
- Institute for Precision MedicineTsinghua UniversityBeijingChina
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3
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Peng H, Pan M, Zhou Z, Chen C, Xing X, Cheng S, Zhang S, Zheng H, Qian K. The impact of preanalytical variables on the analysis of cell-free DNA from blood and urine samples. Front Cell Dev Biol 2024; 12:1385041. [PMID: 38784382 PMCID: PMC11111958 DOI: 10.3389/fcell.2024.1385041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 04/22/2024] [Indexed: 05/25/2024] Open
Abstract
Cell-free DNA (cfDNA), a burgeoning class of molecular biomarkers, has been extensively studied across a variety of biomedical fields. As a key component of liquid biopsy, cfDNA testing is gaining prominence in disease detection and management due to the convenience of sample collection and the abundant wealth of genetic information it provides. However, the broader clinical application of cfDNA is currently impeded by a lack of standardization in the preanalytical procedures for cfDNA analysis. A number of fundamental challenges, including the selection of appropriate preanalytical procedures, prevention of short cfDNA fragment loss, and the validation of various cfDNA measurement methods, remain unaddressed. These existing hurdles lead to difficulties in comparing results and ensuring repeatability, thereby undermining the reliability of cfDNA analysis in clinical settings. This review discusses the crucial preanalytical factors that influence cfDNA analysis outcomes, including sample collection, transportation, temporary storage, processing, extraction, quality control, and long-term storage. The review provides clarification on achievable consensus and offers an analysis of the current issues with the goal of standardizing preanalytical procedures for cfDNA analysis.
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Affiliation(s)
- Hongwei Peng
- Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ming Pan
- Taihe Skills Training Center, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Zongning Zhou
- Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Congbo Chen
- Department of Urology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China
| | - Xing Xing
- Department of Urology, The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China
| | - Shaoping Cheng
- Department of Urology, The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China
| | - Shanshan Zhang
- Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Hang Zheng
- Department of Urology, Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Kaiyu Qian
- Department of Biological Repositories, Human Genetic Resources Preservation Center of Hubei Province, Hubei Key Laboratory of Urological Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China
- Department of Urology, Laboratory of Precision Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
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4
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Pawar K, Kawamura T, Kirino Y. The tRNA Val half: A strong endogenous Toll-like receptor 7 ligand with a 5'-terminal universal sequence signature. Proc Natl Acad Sci U S A 2024; 121:e2319569121. [PMID: 38683985 PMCID: PMC11087793 DOI: 10.1073/pnas.2319569121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 03/24/2024] [Indexed: 05/02/2024] Open
Abstract
Toll-like receptors (TLRs) are crucial components of the innate immune system. Endosomal TLR7 recognizes single-stranded RNAs, yet its endogenous ssRNA ligands are not fully understood. We previously showed that extracellular (ex-) 5'-half molecules of tRNAHisGUG (the 5'-tRNAHisGUG half) in extracellular vesicles (EVs) of human macrophages activate TLR7 when delivered into endosomes of recipient macrophages. Here, we fully explored immunostimulatory ex-5'-tRNA half molecules and identified the 5'-tRNAValCAC/AAC half, the most abundant tRNA-derived RNA in macrophage EVs, as another 5'-tRNA half molecule with strong TLR7 activation capacity. Levels of the ex-5'-tRNAValCAC/AAC half were highly up-regulated in macrophage EVs upon exposure to lipopolysaccharide and in the plasma of patients infected with Mycobacterium tuberculosis. The 5'-tRNAValCAC/AAC half-mediated activation of TLR7 effectively eradicated bacteria infected in macrophages. Mutation analyses of the 5'-tRNAValCAC/AAC half identified the terminal GUUU sequence as a determinant for TLR7 activation. We confirmed that GUUU is the optimal ratio of guanosine and uridine for TLR7 activation; microRNAs or other RNAs with the terminal GUUU motif can indeed stimulate TLR7, establishing the motif as a universal signature for TLR7 activation. These results advance our understanding of endogenous ssRNA ligands of TLR7 and offer insights into diverse TLR7-involved pathologies and their therapeutic strategies.
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Affiliation(s)
- Kamlesh Pawar
- Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA19107
- Department of Life Sciences, School of Natural Science, Shiv Nadar Institution of Eminence Deemed to be University, Delhi National Capital Region, Greater Noida201314, India
| | - Takuya Kawamura
- Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA19107
| | - Yohei Kirino
- Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA19107
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5
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Shen Z, Naveed M, Bao J. Untacking small RNA profiling and RNA fragment footprinting: Approaches and challenges in library construction. WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1852. [PMID: 38715192 DOI: 10.1002/wrna.1852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/09/2024] [Accepted: 04/10/2024] [Indexed: 06/06/2024]
Abstract
Small RNAs (sRNAs) with sizes ranging from 15 to 50 nucleotides (nt) are critical regulators of gene expression control. Prior studies have shown that sRNAs are involved in a broad range of biological processes, such as organ development, tumorigenesis, and epigenomic regulation; however, emerging evidence unveils a hidden layer of diversity and complexity of endogenously encoded sRNAs profile in eukaryotic organisms, including novel types of sRNAs and the previously unknown post-transcriptional RNA modifications. This underscores the importance for accurate, unbiased detection of sRNAs in various cellular contexts. A multitude of high-throughput methods based on next-generation sequencing (NGS) are developed to decipher the sRNA expression and their modifications. Nonetheless, distinct from mRNA sequencing, the data from sRNA sequencing suffer frequent inconsistencies and high variations emanating from the adapter contaminations and RNA modifications, which overall skew the sRNA libraries. Here, we summarize the sRNA-sequencing approaches, and discuss the considerations and challenges for the strategies and methods of sRNA library construction. The pros and cons of sRNA sequencing have significant implications for implementing RNA fragment footprinting approaches, including CLIP-seq and Ribo-seq. We envision that this review can inspire novel improvements in small RNA sequencing and RNA fragment footprinting in future. This article is categorized under: RNA Evolution and Genomics > Computational Analyses of RNA RNA Processing > Processing of Small RNAs Regulatory RNAs/RNAi/Riboswitches > Biogenesis of Effector Small RNAs.
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Affiliation(s)
- Zhaokang Shen
- Department of Obstetrics and Gynecology, Center for Reproduction and Genetics, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Hefei National Laboratory for Physical Sciences at Microscale, Biomedical Sciences and Health Laboratory of Anhui Province, University of Science and Technology of China (USTC), Hefei, Anhui, China
| | - Muhammad Naveed
- Hefei National Laboratory for Physical Sciences at Microscale, Biomedical Sciences and Health Laboratory of Anhui Province, University of Science and Technology of China (USTC), Hefei, Anhui, China
- Department of Obstetrics and Gynecology, Center for Reproduction and Genetics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Jianqiang Bao
- Department of Obstetrics and Gynecology, Center for Reproduction and Genetics, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Hefei National Laboratory for Physical Sciences at Microscale, Biomedical Sciences and Health Laboratory of Anhui Province, University of Science and Technology of China (USTC), Hefei, Anhui, China
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Gumas J, Kawamura T, Shigematsu M, Kirino Y. Immunostimulatory short non-coding RNAs in the circulation of patients with tuberculosis infection. MOLECULAR THERAPY. NUCLEIC ACIDS 2024; 35:102156. [PMID: 38481936 PMCID: PMC10933579 DOI: 10.1016/j.omtn.2024.102156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/14/2024] [Indexed: 03/20/2024]
Abstract
Mycobacterium tuberculosis (Mtb) infection is among the world's deadliest infectious diseases. Developing effective treatments and biomarkers for tuberculosis requires a deeper understanding of its pathobiology and host responses. Here, we report a comprehensive characterization of circulating short non-coding RNAs (sncRNAs) in plasma samples from Mtb-infected patients. We achieved this by pre-treating plasma RNAs with T4 polynucleotide kinase to convert all RNA ends to those compatible with sncRNA sequencing. We discovered a global and drastic upregulation of plasma sncRNAs in Mtb-infected patients, with tRNA-derived sncRNAs representing the most dramatically elevated class. Most of these tRNA-derived sncRNAs originated from a limited subset of tRNAs, specifically from three tRNA isoacceptors, and exhibited skewed patterns to 5'-derived fragments, such as 5' halves, 5' tRNA fragments (tRFs), and internal tRFs (i-tRFs) from the 5' regions. Further, Mtb-infected patients displayed markedly upregulated and distinct profiles of both rRNA- and mRNA-derived sncRNAs. Some of these sncRNAs, which are abundant and specific to Mtb-infected patients, robustly activated human macrophages via Toll-like receptor 7 and induced cytokine production. This drastic accumulation of circulating, immunostimulatory sncRNAs in the plasma of Mtb-infected patients offers insights into the sncRNA-driven aspects of host immune response against infectious diseases and suggests a pool of potential therapeutic targets and biomarkers.
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Affiliation(s)
- Justin Gumas
- Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Takuya Kawamura
- Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Megumi Shigematsu
- Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Yohei Kirino
- Computational Medicine Center, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA
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7
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Huang T, Zhao Y, Jiang G, Yang Z. tsRNA: A Promising Biomarker in Breast Cancer. J Cancer 2024; 15:2613-2626. [PMID: 38577588 PMCID: PMC10988313 DOI: 10.7150/jca.93531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 02/29/2024] [Indexed: 04/06/2024] Open
Abstract
tRNA-derived small RNAs (tsRNAs) are a novel class of non-coding small RNAs, generated from specific cleavage sites of tRNA or pre-tRNA. tsRNAs can directly participate in RNA silencing, transcription, translation, and other processes. Their dysregulation is closely related to the occurrence and development of various cancers. Breast cancer is one of the most common and fastest-growing malignant tumors in humans. tsRNAs have been found to be dysregulated in breast cancer, serving as a new target for exploring the pathogenesis of breast cancer. They are also considered new tumor markers, providing a basis for diagnosis and treatment. This article reviews the generation, classification, mechanism of action, function of tsRNAs, and their biological effects and related mechanisms in breast cancer, in the hope of providing a new direction for the diagnosis and treatment of breast cancer.
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Affiliation(s)
- Ting Huang
- Department of Thyroid and Breast Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Yuexin Zhao
- Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Guoqin Jiang
- Department of Thyroid and Breast Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
| | - Zhixue Yang
- Department of Thyroid and Breast Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China
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8
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Tosar JP, Castellano M, Costa B, Cayota A. Small RNA structural biochemistry in a post-sequencing era. Nat Protoc 2024; 19:595-602. [PMID: 38057624 DOI: 10.1038/s41596-023-00936-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 08/25/2023] [Indexed: 12/08/2023]
Abstract
High-throughput sequencing has had an enormous impact on small RNA research during the past decade. However, sequencing only offers a one-dimensional view of the transcriptome and is often highly biased. Additionally, the 'sequence, map and annotate' approach, used widely in small RNA research, can lead to flawed interpretations of the data, lacking biological plausibility, due in part to database issues. Even in the absence of technical biases, the loss of three-dimensional information is a major limitation to understanding RNA stability, turnover and function. For example, noncoding RNA-derived fragments seem to exist mainly as dimers, tetramers or as nicked forms of their parental RNAs, contrary to widespread assumptions. In this perspective, we will discuss main sources of bias during small RNA-sequencing, present several useful bias-reducing strategies and provide guidance on the interpretation of small RNA-sequencing results, with emphasis on RNA fragmentomics. As sequencing offers a one-dimensional projection of a four-dimensional reality, prior structure-level knowledge is often needed to make sense of the data. Consequently, while less-biased sequencing methods are welcomed, integration of orthologous experimental techniques is also strongly recommended.
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Affiliation(s)
- Juan Pablo Tosar
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay.
- Analytical Biochemistry Unit, Center for Nuclear Research, School of Science, Universidad de la República, Montevideo, Uruguay.
| | - Mauricio Castellano
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Biochemistry Department, School of Science, Universidad de la República, Montevideo, Uruguay
| | - Bruno Costa
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Analytical Biochemistry Unit, Center for Nuclear Research, School of Science, Universidad de la República, Montevideo, Uruguay
| | - Alfonso Cayota
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Hospital de Clínicas, Universidad de la República, Montevideo, Uruguay
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9
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Makarova J, Maltseva D, Tonevitsky A. Challenges in characterization of transcriptomes of extracellular vesicles and non-vesicular extracellular RNA carriers. Front Mol Biosci 2023; 10:1327985. [PMID: 38116380 PMCID: PMC10729812 DOI: 10.3389/fmolb.2023.1327985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 11/20/2023] [Indexed: 12/21/2023] Open
Abstract
Since its original discovery over a decade ago, extracellular RNA (exRNA) has been found in all biological fluids. Furthermore, extracellular microRNA has been shown to be involved in communication between various cell types. Importantly, the exRNA is protected from RNases degradation by certain carriers including membrane vesicles and non-vesicular protein nanoparticles. Each type of carrier has its unique exRNA profile, which may vary depending on cell type and physiological conditions. To clarify putative mechanisms of intercellular communication mediated by exRNA, the RNA profile of each carrier has to be characterized. While current methods of biofluids fractionation are continuously improving, they fail to completely separate exRNA carriers. Likewise, most popular library preparation approaches for RNA sequencing do not allow obtaining exhaustive and unbiased data on exRNA transcriptome. In this mini review we discuss ongoing progress in the field of exRNA, with the focus on exRNA carriers, analyze the key methodological challenges and provide recommendations on how the latter could be overcome.
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Affiliation(s)
- Julia Makarova
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - Diana Maltseva
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia
- Hertsen Moscow Oncology Research Center, Moscow, Russia
| | - Alexander Tonevitsky
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia
- Art Photonics GmbH, Berlin, Germany
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10
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Lai H, Feng N, Zhai Q. Discovery of the major 15-30 nt mammalian small RNAs, their biogenesis and function. Nat Commun 2023; 14:5796. [PMID: 37723159 PMCID: PMC10507107 DOI: 10.1038/s41467-023-41554-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 09/08/2023] [Indexed: 09/20/2023] Open
Abstract
Small RNAs (sRNAs) within 15-30 nt such as miRNA, tsRNA, srRNA with 3'-OH have been identified. However, whether these sRNAs are the major 15-30 nt sRNAs is still unknown. Here we show about 90% mammalian sRNAs within 15-30 nt end with 2',3'-cyclic phosphate (3'-cP). TANT-seq was developed to simultaneously profile sRNAs with 3'-cP (sRNA-cPs) and sRNA-OHs, and huge amount of sRNA-cPs were detected. Surprisingly, sRNA-cPs and sRNA-OHs usually have distinct sequences. The data from TANT-seq were validated by a novel method termed TE-qPCR, and Northern blot. Furthermore, we found that Angiogenin and RNase 4 contribute to the biogenesis of sRNA-cPs. Moreover, much more sRNA-cPs than sRNA-OHs bind to Ago2, and can regulate gene expression. Particularly, snR-2-cP regulates Bcl2 by targeting to its 3'UTR dependent on Ago2, and subsequently regulates apoptosis. In addition, sRNA-cPs can guide the cleavage of target RNAs in Ago2 complex as miRNAs without the requirement of 3'-cP. Our discovery greatly expands the repertoire of mammalian sRNAs, and provides strategies and powerful tools towards further investigation of sRNA-cPs.
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Affiliation(s)
- Hejin Lai
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Ning Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qiwei Zhai
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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11
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Gornalusse G, Spengler RM, Sandford E, Kim Y, Levy C, Tewari M, Hladik F, Vojtech L. Men who inject opioids exhibit altered tRNA-Gly-GCC isoforms in semen. Mol Hum Reprod 2023; 29:6994192. [PMID: 36661332 PMCID: PMC9976897 DOI: 10.1093/molehr/gaad003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 12/05/2022] [Indexed: 01/21/2023] Open
Abstract
In addition to their role in protein translation, tRNAs can be cleaved into shorter, biologically active fragments called tRNA fragments (tRFs). Specific tRFs from spermatocytes can propagate metabolic disorders in second generations of mice. Thus, tRFs in germline cells are a mechanism of epigenetic inheritance. It has also been shown that stress and toxins can cause alterations in tRF patterns. We were therefore interested in whether injecting illicit drugs, a major stressor, impacts tRFs in germline cells. We sequenced RNA from spermatocytes and from semen-derived exosomes from people who inject illicit drugs (PWID) and from non-drug using controls, both groups of unknown fertility status. All PWID injected opioids daily, but most also used other illicit drugs. The tRF cleavage products from Gly-GCC tRNA were markedly different between spermatocytes from PWID compared to controls. Over 90% of reads in controls mapped to shorter Gly-GCC tRFs, while in PWID only 45% did. In contrast, only 4.1% of reads in controls mapped to a longer tRFs versus 45.6% in PWID. The long/short tRF ratio was significantly higher in PWID than controls (0.23 versus 0.16, P = 0.0128). We also report differential expression of a group of small nucleolar RNAs (snoRNAs) in semen-derived exosomes, including, among others, ACA14a, U19, and U3-3. Thus, PWID exhibited an altered cleavage pattern of tRNA-Gly-GCC in spermatocytes and an altered cargo of snoRNAs in semen-derived exosomes. Participants were not exclusively using opioids and were not matched with controls in terms of diet, chronic disease, or other stressors, so our finding are not conclusively linked to opioid use. However, all individuals in the PWID group did inject heroin daily. Our study indicates a potential for opioid injection and/or its associated multi-drug use habits and lifestyle changes to influence epigenetic inheritance.
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Affiliation(s)
- Germán Gornalusse
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Ryan M Spengler
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Erin Sandford
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Yeseul Kim
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Claire Levy
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
| | - Muneesh Tewari
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.,Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.,Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.,VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Florian Hladik
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA.,Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.,Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Lucia Vojtech
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, USA
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12
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Fu M, Gu J, Wang M, Zhang J, Chen Y, Jiang P, Zhu T, Zhang X. Emerging roles of tRNA-derived fragments in cancer. Mol Cancer 2023; 22:30. [PMID: 36782290 PMCID: PMC9926655 DOI: 10.1186/s12943-023-01739-5] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Accepted: 02/01/2023] [Indexed: 02/15/2023] Open
Abstract
tRNA-derived fragments (tRFs) are an emerging category of small non-coding RNAs that are generated from cleavage of mature tRNAs or tRNA precursors. The advance in high-throughput sequencing has contributed to the identification of increasing number of tRFs with critical functions in distinct physiological and pathophysiological processes. tRFs can regulate cell viability, differentiation, and homeostasis through multiple mechanisms and are thus considered as critical regulators of human diseases including cancer. In addition, increasing evidence suggest the extracellular tRFs may be utilized as promising diagnostic and prognostic biomarkers for cancer liquid biopsy. In this review, we focus on the biogenesis, classification and modification of tRFs, and summarize the multifaceted functions of tRFs with an emphasis on the current research status and perspectives of tRFs in cancer.
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Affiliation(s)
- Min Fu
- grid.452247.2Institute of Digestive Diseases, The Affiliated People’s Hospital of Jiangsu University, Zhenjiang, 212002 Jiangsu China ,grid.440785.a0000 0001 0743 511XJiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013 Jiangsu China
| | - Jianmei Gu
- grid.260483.b0000 0000 9530 8833Departmemt of Clinical Laboratory Medicine, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226361 Jiangsu China
| | - Maoye Wang
- grid.440785.a0000 0001 0743 511XJiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013 Jiangsu China
| | - Jiahui Zhang
- grid.440785.a0000 0001 0743 511XJiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013 Jiangsu China
| | - Yanke Chen
- grid.440785.a0000 0001 0743 511XJiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013 Jiangsu China
| | - Pengcheng Jiang
- grid.452247.2Institute of Digestive Diseases, The Affiliated People’s Hospital of Jiangsu University, Zhenjiang, 212002 Jiangsu China
| | - Taofeng Zhu
- Department of Pulmonary and Critical Care Medicine, Yixing Hospital Affiliated to Jiangsu University, Yixing, 214200, Jiangsu, China.
| | - Xu Zhang
- Institute of Digestive Diseases, The Affiliated People's Hospital of Jiangsu University, Zhenjiang, 212002, Jiangsu, China. .,Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.
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13
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Chaddha M, Rai H, Gupta R, Thakral D. Integrated analysis of circulating cell free nucleic acids for cancer genotyping and immune phenotyping of tumor microenvironment. Front Genet 2023; 14:1138625. [PMID: 37091783 PMCID: PMC10117686 DOI: 10.3389/fgene.2023.1138625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 03/15/2023] [Indexed: 04/25/2023] Open
Abstract
The circulating cell-free nucleic acids (ccfNAs) consist of a heterogenous cocktail of both single (ssNA) and double-stranded (dsNA) nucleic acids. These ccfNAs are secreted into the blood circulation by both healthy and malignant cells via various mechanisms including apoptosis, necrosis, and active secretion. The major source of ccfNAs are the cells of hematopoietic system under healthy conditions. These ccfNAs include fragmented circulating cell free DNA (ccfDNA), coding or messenger RNA (mRNA), long non-coding RNA (lncRNA), microRNA (miRNA), and mitochondrial DNA/RNA (mtDNA and mtRNA), that serve as prospective biomarkers in assessment of various clinical conditions. For, e.g., free fetal DNA and RNA migrate into the maternal plasma, whereas circulating tumor DNA (ctDNA) has clinical relevance in diagnostic, prognostic, therapeutic targeting, and disease progression monitoring to improve precision medicine in cancer. The epigenetic modifications of ccfDNA as well as circulating cell-free RNA (ccfRNA) such as miRNA and lncRNA show disease-related variations and hold potential as epigenetic biomarkers. The messenger RNA present in the circulation or the circulating cell free mRNA (ccf-mRNA) and long non-coding RNA (ccf-lncRNA) have gradually become substantial in liquid biopsy by acting as effective biomarkers to assess various aspects of disease diagnosis and prognosis. Conversely, the simultaneous characterization of coding and non-coding RNAs in human biofluids still poses a significant hurdle. Moreover, a comprehensive assessment of ccfRNA that may reflect the tumor microenvironment is being explored. In this review, we focus on the novel approaches for exploring ccfDNA and ccfRNAs, specifically ccf-mRNA as biomarkers in clinical diagnosis and prognosis of cancer. Integrating the detection of circulating tumor DNA (ctDNA) for cancer genotyping in conjunction with ccfRNA both quantitatively and qualitatively, may potentially hold immense promise towards precision medicine. The current challenges and future directions in deciphering the complexity of cancer networks based on the dynamic state of ccfNAs will be discussed.
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Affiliation(s)
| | | | - Ritu Gupta
- *Correspondence: Deepshi Thakral, ; Ritu Gupta,
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14
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Block T, Zezulinski D, Kaplan DE, Lu J, Zanine S, Zhan T, Doria C, Sayeed A. Circulating messenger RNA variants as a potential biomarker for surveillance of hepatocellular carcinoma. Front Oncol 2022; 12:963641. [PMID: 36582804 PMCID: PMC9793749 DOI: 10.3389/fonc.2022.963641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 11/18/2022] [Indexed: 12/15/2022] Open
Abstract
Background and rationale Liver derived messenger ribonucleic acid (mRNA) transcripts were reported to be elevated in the circulation of hepatocellular carcinoma (HCC) patients. We now report the detection of high-risk mRNA variants exclusively in the circulation of HCC patients. Numerous genomic alleles such as single nucleotide polymorphisms (SNPs), nucleotide insertions and deletions (called Indels), splicing variants in many genes, have been associated with elevated risk of cancer. Our findings potentially offer a novel non-invasive platform for HCC surveillance and early detection. Approach RNAseq analysis was carried out in the plasma of 14 individuals with a diagnosis of HCC, 8 with LC and no HCC, and 6 with no liver disease diagnosis. RNA from 6 matching tumors and 5 circulating extracellular vesicle (EV) samples from 14 of those with HCC was also analyzed. Specimens from two cholangiocarcinoma (CCA) patients were also included in our study. HCC specific SNPs and Indels referred as "variants" were identified using GATK HaplotypeCaller and annotated by SnpEff to filter out high risk variants. Results The variant calling on all RNA samples enabled the detection of 5.2 million SNPs, 0.91 million insertions and 0.81 million deletions. RNAseq analyses in tumors, normal liver tissue, plasma, and plasma derived EVs led to the detection of 5480 high-risk tumor specific mRNA variants in the circulation of HCC patients. These variants are concurrently detected in tumors and plasma samples or tumors and EVs from HCC patients, but none of these were detected in normal liver, plasma of LC patients or normal healthy individuals. Our results demonstrate selective detection of concordant high-risk HCC-specific mRNA variants in free plasma, plasma derived EVs and tumors of HCC patients. The variants comprise of splicing, frameshift, fusion and single nucleotide alterations and correspond to cancer and tumor metabolism pathways. Detection of these high-risk variants in matching specimens from same subjects with an enrichment in circulating EVs is remarkable. Validation of these HCC selective ctmRNA variants in larger patient cohorts is likely to identify a predictive set of ctmRNA with high diagnostic performance and thus offer a novel non-invasive serology-based biomarker for HCC.
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Affiliation(s)
- Timothy Block
- Department of Translational Medicine, Baruch S. Blumberg Institute, Doylestown, PA, United States
| | - Daniel Zezulinski
- Department of Translational Medicine, Baruch S. Blumberg Institute, Doylestown, PA, United States
| | - David E. Kaplan
- Division of Gastroenterology and Hepatology, University of Pennsylvania Perelman School of Medicine and The Corporal Michael J. Crescenz Veterans Administration Hospital, Philadelphia, PA, United States
| | - Jingqiao Lu
- Ray Biotech Life Inc., Peachtree Corners, GA, United States
| | - Samantha Zanine
- Department of Mechanical Engineering, Pennsylvania State University, PA, United States
| | - Tingting Zhan
- Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, Philadelphia PA, United States
| | - Cataldo Doria
- CHS Liver and Pancreas Centers of Excellence, Capital Health Cancer Center, One Capital Way, Pennington, NJ, United States
| | - Aejaz Sayeed
- Department of Translational Medicine, Baruch S. Blumberg Institute, Doylestown, PA, United States,*Correspondence: Aejaz Sayeed,
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15
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Sun J, Yang X, Wang T, Xing Y, Chen H, Zhu S, Zeng J, Zhou Q, Chen F, Zhang X, Wang WJ. Evaluating the Effects of Storage Conditions on Multiple Cell-Free RNAs in Plasma by High-Throughput Sequencing. Biopreserv Biobank 2022. [PMID: 36006659 DOI: 10.1089/bio.2022.0004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: Plasma cell-free RNAs (cfRNAs) can serve as noninvasive biomarkers for the diagnosis and monitoring of diseases. However, the delay in blood processing may lead to unreliable results. Therefore, an unbiased evaluation based on the whole transcriptome under different storage conditions is needed. Methods: Here, blood samples were collected in ethylenediaminetetraacetic acid tubes and processed immediately (0 hour), or stored at room temperature (RT) or 4°C for different time intervals (2, 6, and 24 hours) before plasma separation. High-throughput sequencing was applied to assess the effects of storage conditions on the transcript profiles and fragment characteristics of plasma cell-free mRNA, long noncoding RNA (lncRNA), and small RNAs. Results: More genes changed their expression levels with time when blood was stored at RT compared with those at 4°C. Cell-free mRNA and lncRNA were relatively stable in blood preserved at 4°C for 6 hours, while cell-free microRNA (miRNA) and piwi-interacting RNA (piRNA) remained stable at 4°C for 24 hours. After 24 hours, more contamination of the leukocyte-derived RNAs occurred at RT, possibly due to apoptosis. Meanwhile, significant changes were also observed regarding the characteristics of the RNA fragments, including fragment size, the proportion of intron, and the pyrimidine frequency of the fragmented 3' end. Fifteen tissue-enriched genes were detected in the plasma but not expressed in leukocytes. The expression level and fragment length of these genes gradually decreased during storage, suggesting the degradation of the cfRNA and the dilution of leukocyte-derived RNA with other tissue-derived cfRNA. Conclusions: Our results suggest that the contamination of leukocyte-derived RNA and the degradation of original cfRNA contribute to the changes in the cfRNA expression profiles and the fragment characteristics during short-term storage. The storage of blood at 4°C for 6 hours allows plasma cfRNA to remain relatively stable, which will be useful for further studies or clinical applications where adequate quantification or the fragment signature of cfRNA is required.
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Affiliation(s)
- Jinghua Sun
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.,BGI-Shenzhen, Shenzhen, China
| | - Xi Yang
- BGI-Shenzhen, Shenzhen, China
| | | | | | | | - Sujun Zhu
- Obstetrics Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, China
| | - Juan Zeng
- Obstetrics Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, China
| | | | | | | | - Wen-Jing Wang
- BGI-Shenzhen, Shenzhen, China.,Shenzhen Engineering Laboratory for Birth Defects Screening, BGI-Shenzhen, Shenzhen, China
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16
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Liu Z, Wang T, Yang X, Zhou Q, Zhu S, Zeng J, Chen H, Sun J, Li L, Xu J, Geng C, Xu X, Wang J, Yang H, Zhu S, Chen F, Wang WJ. Polyadenylation ligation-mediated sequencing (PALM-Seq) characterizes cell-free coding and non-coding RNAs in human biofluids. Clin Transl Med 2022; 12:e987. [PMID: 35858042 PMCID: PMC9299576 DOI: 10.1002/ctm2.987] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 06/16/2022] [Accepted: 07/03/2022] [Indexed: 11/16/2022] Open
Abstract
Background Cell‐free messenger RNA (cf‐mRNA) and long non‐coding RNA (cf‐lncRNA) are becoming increasingly important in liquid biopsy by providing biomarkers for disease prediction, diagnosis and prognosis, but the simultaneous characterization of coding and non‐coding RNAs in human biofluids remains challenging. Methods Here, we developed polyadenylation ligation‐mediated sequencing (PALM‐Seq), an RNA sequencing strategy employing treatment of RNA with T4 polynucleotide kinase to generate cell‐free RNA (cfRNA) fragments with 5′ phosphate and 3′ hydroxyl and RNase H to deplete abundant RNAs, achieving simultaneous quantification and characterization of cfRNAs. Results Using PALM‐Seq, we successfully identified well‐known differentially abundant mRNA, lncRNA and microRNA in the blood plasma of pregnant women. We further characterized cfRNAs in blood plasma, saliva, urine, seminal plasma and amniotic fluid and found that the detected numbers of different RNA biotypes varied with body fluids. The profiles of cf‐mRNA reflected the function of originated tissues, and immune cells significantly contributed RNA to blood plasma and saliva. Short fragments (<50 nt) of mRNA and lncRNA were major in biofluids, whereas seminal plasma and amniotic fluid tended to retain long RNA. Body fluids showed distinct preferences of pyrimidine at the 3′ end and adenine at the 5′ end of cf‐mRNA and cf‐lncRNA, which were correlated with the proportions of short fragments. Conclusion Together, PALM‐Seq enables a simultaneous characterization of cf‐mRNA and cf‐lncRNA, contributing to elucidating the biology and promoting the application of cfRNAs.
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Affiliation(s)
| | | | - Xi Yang
- BGI-Shenzhen, Shenzhen, China
| | | | - Sujun Zhu
- Obstetrics Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, China
| | - Juan Zeng
- Obstetrics Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, Guangdong Province, China
| | | | - Jinghua Sun
- BGI-Shenzhen, Shenzhen, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | | | | | | | - Xun Xu
- BGI-Shenzhen, Shenzhen, China
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17
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Li G, Manning AC, Bagi A, Yang X, Gokulnath P, Spanos M, Howard J, Chan PP, Sweeney T, Kitchen R, Li H, Laurent BD, Aranki SF, Kontaridis MI, Laurent LC, Van Keuren‐Jensen K, Muehlschlegel J, Lowe TM, Das S. Distinct Stress-Dependent Signatures of Cellular and Extracellular tRNA-Derived Small RNAs. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2200829. [PMID: 35373532 PMCID: PMC9189662 DOI: 10.1002/advs.202200829] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Indexed: 05/11/2023]
Abstract
The cellular response to stress is an important determinant of disease pathogenesis. Uncovering the molecular fingerprints of distinct stress responses may identify novel biomarkers and key signaling pathways for different diseases. Emerging evidence shows that transfer RNA-derived small RNAs (tDRs) play pivotal roles in stress responses. However, RNA modifications present on tDRs are barriers to accurately quantifying tDRs using traditional small RNA sequencing. Here, AlkB-facilitated methylation sequencing is used to generate a comprehensive landscape of cellular and extracellular tDR abundances in various cell types during different stress responses. Extracellular tDRs are found to have distinct fragmentation signatures from intracellular tDRs and these tDR signatures are better indicators of different stress responses than miRNAs. These distinct extracellular tDR fragmentation patterns and signatures are also observed in plasma from patients on cardiopulmonary bypass. It is additionally demonstrated that angiogenin and RNASE1 are themselves regulated by stressors and contribute to the stress-modulated abundance of sub-populations of cellular and extracellular tDRs. Finally, a sub-population of extracellular tDRs is identified for which AGO2 appears to be required for their expression. Together, these findings provide a detailed profile of stress-responsive tDRs and provide insight about tDR biogenesis and stability in response to cellular stressors.
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Affiliation(s)
- Guoping Li
- Cardiovascular Research CenterMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Aidan C. Manning
- Department of Biomolecular EngineeringBaskin School of EngineeringUniversity of CaliforniaSanta CruzSanta CruzCA95064USA
| | - Alex Bagi
- Department of Biomolecular EngineeringBaskin School of EngineeringUniversity of CaliforniaSanta CruzSanta CruzCA95064USA
| | - Xinyu Yang
- Fangshan Hospital of BeijingUniversity of Traditional Chinese MedicineBeijing102499China
| | - Priyanka Gokulnath
- Cardiovascular Research CenterMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Michail Spanos
- Cardiovascular Research CenterMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Jonathan Howard
- Department of Biomolecular EngineeringBaskin School of EngineeringUniversity of CaliforniaSanta CruzSanta CruzCA95064USA
| | - Patricia P. Chan
- Department of Biomolecular EngineeringBaskin School of EngineeringUniversity of CaliforniaSanta CruzSanta CruzCA95064USA
| | - Thadryan Sweeney
- Cardiovascular Research CenterMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Robert Kitchen
- Cardiovascular Research CenterMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Haobo Li
- Cardiovascular Research CenterMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Brice D. Laurent
- Cardiovascular Research CenterMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
| | - Sary F. Aranki
- Division of Cardiac SurgeryDepartment of SurgeryBrigham and Women's HospitalHarvard Medical SchoolBostonMA02115USA
| | - Maria I. Kontaridis
- Department of Biomedical Research and Translational MedicineMasonic Medical Research InstituteUticaNY13501USA
- Department of Biological Chemistry and Molecular PharmacologyHarvard Medical SchoolBostonMA02115USA
- Department of MedicineDivision of CardiologyBeth Israel Deaconess Medical CenterHarvard Medical SchoolBostonMA02215USA
| | - Louise C. Laurent
- Department of Obstetrics, Gynecology, and Reproductive SciencesUniversity of CaliforniaSan DiegoLa JollaCA92093USA
| | | | - Jochen Muehlschlegel
- Department of Anesthesiology, Perioperative and Pain MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMA02115USA
| | - Todd M. Lowe
- Department of Biomolecular EngineeringBaskin School of EngineeringUniversity of CaliforniaSanta CruzSanta CruzCA95064USA
| | - Saumya Das
- Cardiovascular Research CenterMassachusetts General Hospital and Harvard Medical SchoolBostonMA02114USA
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18
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Shi J, Zhou T, Chen Q. Exploring the expanding universe of small RNAs. Nat Cell Biol 2022; 24:415-423. [PMID: 35414016 DOI: 10.1038/s41556-022-00880-5] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 03/02/2022] [Indexed: 12/11/2022]
Abstract
The world of small noncoding RNAs (sncRNAs) is ever-expanding, from small interfering RNA, microRNA and Piwi-interacting RNA to the recently emerging non-canonical sncRNAs derived from longer structured RNAs (for example, transfer, ribosomal, Y, small nucleolar, small nuclear and vault RNAs), showing distinct biogenesis and functional principles. Here we discuss recent tools for sncRNA identification, caveats in sncRNA expression analysis and emerging methods for direct sequencing of sncRNAs and systematic mapping of RNA modifications that are integral to their function.
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Affiliation(s)
- Junchao Shi
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, CA, USA
| | - Tong Zhou
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA.
| | - Qi Chen
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, CA, USA.
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19
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Alsop E, Meechoovet B, Kitchen R, Sweeney T, Beach TG, Serrano GE, Hutchins E, Ghiran I, Reiman R, Syring M, Hsieh M, Courtright-Lim A, Valkov N, Whitsett TG, Rakela J, Pockros P, Rozowsky J, Gallego J, Huentelman MJ, Shah R, Nakaji P, Kalani MYS, Laurent L, Das S, Van Keuren-Jensen K. A Novel Tissue Atlas and Online Tool for the Interrogation of Small RNA Expression in Human Tissues and Biofluids. Front Cell Dev Biol 2022; 10:804164. [PMID: 35317387 PMCID: PMC8934391 DOI: 10.3389/fcell.2022.804164] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/28/2022] [Indexed: 12/20/2022] Open
Abstract
One promising goal for utilizing the molecular information circulating in biofluids is the discovery of clinically useful biomarkers. Extracellular RNAs (exRNAs) are one of the most diverse classes of molecular cargo, easily assayed by sequencing and with expressions that rapidly change in response to subject status. Despite diverse exRNA cargo, most evaluations from biofluids have focused on small RNA sequencing and analysis, specifically on microRNAs (miRNAs). Another goal of characterizing circulating molecular information, is to correlate expression to injuries associated with specific tissues of origin. Biomarker candidates are often described as being specific, enriched in a particular tissue or associated with a disease process. Likewise, miRNA data is often reported to be specific, enriched for a tissue, without rigorous testing to support the claim. Here we provide a tissue atlas of small RNAs from 30 different tissues and three different blood cell types. We analyzed the tissues for enrichment of small RNA sequences and assessed their expression in biofluids: plasma, cerebrospinal fluid, urine, and saliva. We employed published data sets representing physiological (resting vs. acute exercise) and pathologic states (early- vs. late-stage liver fibrosis, and differential subtypes of stroke) to determine differential tissue-enriched small RNAs. We also developed an online tool that provides information about exRNA sequences found in different biofluids and tissues. The data can be used to better understand the various types of small RNA sequences in different tissues as well as their potential release into biofluids, which should help in the validation or design of biomarker studies.
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Affiliation(s)
- Eric Alsop
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Bessie Meechoovet
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Robert Kitchen
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Thadryan Sweeney
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Thomas G. Beach
- Banner Sun Health Research Institute, Sun City, AZ, United States
| | - Geidy E. Serrano
- Banner Sun Health Research Institute, Sun City, AZ, United States
| | - Elizabeth Hutchins
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Ionita Ghiran
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States
| | - Rebecca Reiman
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Michael Syring
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Michael Hsieh
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Amanda Courtright-Lim
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Nedyalka Valkov
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Timothy G. Whitsett
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | | | - Paul Pockros
- Division of Gastroenterology/Hepatology, Scripps Clinic, La Jolla, CA, United States
| | - Joel Rozowsky
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States
| | - Juan Gallego
- Institute for Behavioral Science, The Feinstein Institute for Medical Research, Manhasset, NY, United States
- Division of Psychiatry Research, The Zucker Hillside Hospital, Glen Oaks, NY, United States
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States
| | - Matthew J. Huentelman
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, United States
| | - Ravi Shah
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Peter Nakaji
- Department of Neurosurgery, Banner Health, Phoenix, AZ, United States
| | - M. Yashar S. Kalani
- Department of Neurosurgery, St. John Medical Center, Tulsa, OK, United States
| | - Louise Laurent
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Diego, San Diego, CA, United States
| | - Saumya Das
- Cardiovascular Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
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20
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Lai H, Li Y, Zhang H, Hu J, Liao J, Su Y, Li Q, Chen B, Li C, Wang Z, Li Y, Wang J, Meng Z, Huang Z, Huang S. exoRBase 2.0: an atlas of mRNA, lncRNA and circRNA in extracellular vesicles from human biofluids. Nucleic Acids Res 2021; 50:D118-D128. [PMID: 34918744 PMCID: PMC8728150 DOI: 10.1093/nar/gkab1085] [Citation(s) in RCA: 82] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/15/2021] [Accepted: 10/21/2021] [Indexed: 12/15/2022] Open
Abstract
Extracellular vesicles (EVs) are small membranous vesicles that contain an abundant cargo of different RNA species with specialized functions and clinical implications. Here, we introduce an updated online database (http://www.exoRBase.org), exoRBase 2.0, which is a repository of EV long RNAs (termed exLRs) derived from RNA-seq data analyses of diverse human body fluids. In exoRBase 2.0, the number of exLRs has increased to 19 643 messenger RNAs (mRNAs), 15 645 long non-coding RNAs (lncRNAs) and 79 084 circular RNAs (circRNAs) obtained from ∼1000 human blood, urine, cerebrospinal fluid (CSF) and bile samples. Importantly, exoRBase 2.0 not only integrates and compares exLR expression profiles but also visualizes the pathway-level functional changes and the heterogeneity of origins of circulating EVs in the context of different physiological and pathological conditions. Our database provides an attractive platform for the identification of novel exLR signatures from human biofluids that will aid in the discovery of new circulating biomarkers to improve disease diagnosis and therapy.
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Affiliation(s)
- Hongyan Lai
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuchen Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hena Zhang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jia Hu
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiatao Liao
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Su
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qin Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bing Chen
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Caiping Li
- Department of Gastroenterology, Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Zhen Wang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jialei Wang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhiqiang Meng
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhaohui Huang
- Wuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Shenglin Huang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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21
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Shi J, Zhang Y, Tan D, Zhang X, Yan M, Zhang Y, Franklin R, Shahbazi M, Mackinlay K, Liu S, Kuhle B, James ER, Zhang L, Qu Y, Zhai Q, Zhao W, Zhao L, Zhou C, Gu W, Murn J, Guo J, Carrell DT, Wang Y, Chen X, Cairns BR, Yang XL, Schimmel P, Zernicka-Goetz M, Cheloufi S, Zhang Y, Zhou T, Chen Q. PANDORA-seq expands the repertoire of regulatory small RNAs by overcoming RNA modifications. Nat Cell Biol 2021; 23:424-436. [PMID: 33820973 PMCID: PMC8236090 DOI: 10.1038/s41556-021-00652-7] [Citation(s) in RCA: 118] [Impact Index Per Article: 39.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 02/23/2021] [Indexed: 02/06/2023]
Abstract
Although high-throughput RNA sequencing (RNA-seq) has greatly advanced small non-coding RNA (sncRNA) discovery, the currently widely used complementary DNA library construction protocol generates biased sequencing results. This is partially due to RNA modifications that interfere with adapter ligation and reverse transcription processes, which prevent the detection of sncRNAs bearing these modifications. Here, we present PANDORA-seq (panoramic RNA display by overcoming RNA modification aborted sequencing), employing a combinatorial enzymatic treatment to remove key RNA modifications that block adapter ligation and reverse transcription. PANDORA-seq identified abundant modified sncRNAs-mostly transfer RNA-derived small RNAs (tsRNAs) and ribosomal RNA-derived small RNAs (rsRNAs)-that were previously undetected, exhibiting tissue-specific expression across mouse brain, liver, spleen and sperm, as well as cell-specific expression across embryonic stem cells (ESCs) and HeLa cells. Using PANDORA-seq, we revealed unprecedented landscapes of microRNA, tsRNA and rsRNA dynamics during the generation of induced pluripotent stem cells. Importantly, tsRNAs and rsRNAs that are downregulated during somatic cell reprogramming impact cellular translation in ESCs, suggesting a role in lineage differentiation.
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Affiliation(s)
- Junchao Shi
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, Riverside, CA, USA
| | - Yunfang Zhang
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Dongmei Tan
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
- Laboratory Animal Center, Chongqing Medical University, Chongqing, China
| | - Xudong Zhang
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, Riverside, CA, USA
| | - Menghong Yan
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA
- Pudong Medical Center, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Zhang
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, Riverside, CA, USA
- Department of Biochemistry and Molecular Biology, School of Basic Medicine, Chongqing Medical University, Chongqing, China
| | - Reuben Franklin
- Department of Biochemistry, Stem Cell Center, University of California, Riverside, Riverside, CA, USA
| | - Marta Shahbazi
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- MRC Laboratory of Molecular Biology, Cambridge, UK
| | - Kirsty Mackinlay
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Shichao Liu
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, Riverside, CA, USA
| | - Bernhard Kuhle
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Emma R James
- Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Liwen Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Yongcun Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Qiwei Zhai
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, CAS Center for Excellence in Molecular Cell Sciences, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Wenxin Zhao
- Department of Chemistry, University of California, Riverside, Riverside, CA, USA
| | - Linlin Zhao
- Department of Chemistry, University of California, Riverside, Riverside, CA, USA
| | - Changcheng Zhou
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, Riverside, CA, USA
| | - Weifeng Gu
- Department of Molecular, Cell and Systems Biology, University of California, Riverside, Riverside, CA, USA
| | - Jernej Murn
- Department of Biochemistry, Stem Cell Center, University of California, Riverside, Riverside, CA, USA
| | - Jingtao Guo
- Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
- Howard Hughes Medical Institute, Department of Oncological Sciences and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Douglas T Carrell
- Division of Urology, Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Yinsheng Wang
- Department of Chemistry, University of California, Riverside, Riverside, CA, USA
| | - Xuemei Chen
- Department of Botany and Plant Sciences, University of California, Riverside, Riverside, CA, USA
| | - Bradley R Cairns
- Howard Hughes Medical Institute, Department of Oncological Sciences and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Xiang-Lei Yang
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Paul Schimmel
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, USA
| | - Magdalena Zernicka-Goetz
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
| | - Sihem Cheloufi
- Department of Biochemistry, Stem Cell Center, University of California, Riverside, Riverside, CA, USA.
| | - Ying Zhang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
- The Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing, China.
| | - Tong Zhou
- Department of Physiology and Cell Biology, University of Nevada, Reno School of Medicine, Reno, NV, USA.
| | - Qi Chen
- Division of Biomedical Sciences, School of Medicine, University of California, Riverside, Riverside, CA, USA.
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22
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Tosar JP, Witwer K, Cayota A. Revisiting Extracellular RNA Release, Processing, and Function. Trends Biochem Sci 2021; 46:438-445. [PMID: 33413996 DOI: 10.1016/j.tibs.2020.12.008] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/26/2020] [Accepted: 12/09/2020] [Indexed: 02/06/2023]
Abstract
It is assumed that RNAs enriched in extracellular samples were selected for release by their parental cells. However, recent descriptions of extracellular RNA (exRNA) biogenesis and their differential stabilities question this assumption, as they could produce identical outcomes. Here, we share our opinion about the importance of considering both selective and nonselective mechanisms for RNA release into the extracellular environment. In doing so, we provide new perspectives on RNA-mediated intercellular communication, including an analogy to communication through social media. We also argue that technical limitations have restricted the study of some of the most abundant exRNAs, both inside and outside extracellular vesicles (EVs). These RNAs may be better positioned to induce a response in recipient cells compared with low abundance miRNAs.
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Affiliation(s)
- Juan Pablo Tosar
- Analytical Biochemistry Unit, Nuclear Research Center, School of Science, Universidad de la República, Montevideo, Uruguay; Functional Genomics Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay.
| | - Kenneth Witwer
- Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alfonso Cayota
- Functional Genomics Unit, Institut Pasteur de Montevideo, Montevideo, Uruguay; Department of Medicine, University Hospital, Universidad de la República, Montevideo, Uruguay
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23
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Tosar JP, Segovia M, Castellano M, Gámbaro F, Akiyama Y, Fagúndez P, Olivera Á, Costa B, Possi T, Hill M, Ivanov P, Cayota A. Fragmentation of extracellular ribosomes and tRNAs shapes the extracellular RNAome. Nucleic Acids Res 2020; 48:12874-12888. [PMID: 32785615 PMCID: PMC7736827 DOI: 10.1093/nar/gkaa674] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 07/19/2020] [Accepted: 07/31/2020] [Indexed: 12/14/2022] Open
Abstract
A major proportion of extracellular RNAs (exRNAs) do not copurify with extracellular vesicles (EVs) and remain in ultracentrifugation supernatants of cell-conditioned medium or mammalian blood serum. However, little is known about exRNAs beyond EVs. We have previously shown that the composition of the nonvesicular exRNA fraction is highly biased toward specific tRNA-derived fragments capable of forming RNase-protecting dimers. To solve the problem of stability in exRNA analysis, we developed a method based on sequencing the size exclusion chromatography (SEC) fractions of nonvesicular extracellular samples treated with RNase inhibitors (RI). This method revealed dramatic compositional changes in exRNA population when enzymatic RNA degradation was inhibited. We demonstrated the presence of ribosomes and full-length tRNAs in cell-conditioned medium of a variety of mammalian cell lines. Their fragmentation generates some small RNAs that are highly resistant to degradation. The extracellular biogenesis of some of the most abundant exRNAs demonstrates that extracellular abundance is not a reliable input to estimate RNA secretion rates. Finally, we showed that chromatographic fractions containing extracellular ribosomes are probably not silent from an immunological perspective and could possibly be decoded as damage-associated molecular patterns.
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Affiliation(s)
- Juan Pablo Tosar
- Analytical Biochemistry Unit. Nuclear Research Center. Faculty of Science. Universidad de la República, Uruguay
- Functional Genomics Unit, Institut Pasteur de Montevideo, Uruguay
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Mercedes Segovia
- Laboratory of Immunoregulation and Inflammation, Institut Pasteur de Montevideo, Uruguay. Immunobiology Department, Faculty of Medicine, Universidad de la República, Uruguay
| | - Mauricio Castellano
- Analytical Biochemistry Unit. Nuclear Research Center. Faculty of Science. Universidad de la República, Uruguay
- Functional Genomics Unit, Institut Pasteur de Montevideo, Uruguay
| | - Fabiana Gámbaro
- Functional Genomics Unit, Institut Pasteur de Montevideo, Uruguay
- Molecular Virology Laboratory, Nuclear Research Center. Faculty of Science. Universidad de la República, Uruguay
| | - Yasutoshi Akiyama
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Pablo Fagúndez
- Analytical Biochemistry Unit. Nuclear Research Center. Faculty of Science. Universidad de la República, Uruguay
- Functional Genomics Unit, Institut Pasteur de Montevideo, Uruguay
| | - Álvaro Olivera
- Centro Universitario Regional Este, Universidad de la República, Uruguay
| | - Bruno Costa
- Analytical Biochemistry Unit. Nuclear Research Center. Faculty of Science. Universidad de la República, Uruguay
- Functional Genomics Unit, Institut Pasteur de Montevideo, Uruguay
| | - Tania Possi
- Functional Genomics Unit, Institut Pasteur de Montevideo, Uruguay
| | - Marcelo Hill
- Laboratory of Immunoregulation and Inflammation, Institut Pasteur de Montevideo, Uruguay. Immunobiology Department, Faculty of Medicine, Universidad de la República, Uruguay
| | - Pavel Ivanov
- Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- The Broad Institute of Harvard and M.I.T., Cambridge, MA, USA
| | - Alfonso Cayota
- Functional Genomics Unit, Institut Pasteur de Montevideo, Uruguay
- Department of Medicine, University Hospital, Universidad de la República, Uruguay
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24
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Li Y, He X, Li Q, Lai H, Zhang H, Hu Z, Li Y, Huang S. EV-origin: Enumerating the tissue-cellular origin of circulating extracellular vesicles using exLR profile. Comput Struct Biotechnol J 2020; 18:2851-2859. [PMID: 33133426 PMCID: PMC7588739 DOI: 10.1016/j.csbj.2020.10.002] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 09/29/2020] [Accepted: 10/02/2020] [Indexed: 02/07/2023] Open
Abstract
Extracellular vesicles (EVs) are complex ecosystems that can be derived from all body cells and circulated in the body fluids. Characterizing the tissue-cellular source contributing to circulating EVs provides biological information about the cell or tissue of origin and their functional states. However, the relative proportion of tissue-cellular origin of circulating EVs in body fluid has not been thoroughly characterized. Here, we developed an approach for digital EVs quantification, called EV-origin, that enables enumerating of EVs tissue-cellular source contribution from plasma extracellular vesicles long RNA sequencing profiles. EV-origin was constructed by the input matrix of gene expression signatures and robust deconvolution algorithm, collectively used to separate the relative proportions of each tissue or cell type of interest. EV-origin respectively predicted the relative enrichment of seven types of hemopoietic cells and sixteen solid tissue subsets from exLR-seq profile. Using the EV-origin approach, we depicted an integrated landscape of the traceability system of plasma EVs for healthy individuals. We also compared the heterogenous tissue-cellular source components from plasma EVs samples with diverse disease status. Notably, the aberrant liver fraction could reflect the development and progression of hepatic disease. The liver fraction could also serve as a diagnostic indicator and effectively separate HCC patients from normal individuals. The EV-origin provides an approach to decipher the complex heterogeneity of tissue-cellular origin in circulating EVs. Our approach could inform the development of exLR-based applications for liquid biopsy.
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Affiliation(s)
- Yuchen Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xigan He
- Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Qin Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hongyan Lai
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hena Zhang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhixiang Hu
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shenglin Huang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, and the Shanghai Key Laboratory of Medical Epigenetics, the International Co-laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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25
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Yao J, Wu DC, Nottingham RM, Lambowitz AM. Identification of protein-protected mRNA fragments and structured excised intron RNAs in human plasma by TGIRT-seq peak calling. eLife 2020; 9:e60743. [PMID: 32876046 PMCID: PMC7518892 DOI: 10.7554/elife.60743] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/01/2020] [Indexed: 12/18/2022] Open
Abstract
Human plasma contains > 40,000 different coding and non-coding RNAs that are potential biomarkers for human diseases. Here, we used thermostable group II intron reverse transcriptase sequencing (TGIRT-seq) combined with peak calling to simultaneously profile all RNA biotypes in apheresis-prepared human plasma pooled from healthy individuals. Extending previous TGIRT-seq analysis, we found that human plasma contains largely fragmented mRNAs from > 19,000 protein-coding genes, abundant full-length, mature tRNAs and other structured small non-coding RNAs, and less abundant tRNA fragments and mature and pre-miRNAs. Many of the mRNA fragments identified by peak calling correspond to annotated protein-binding sites and/or have stable predicted secondary structures that could afford protection from plasma nucleases. Peak calling also identified novel repeat RNAs, miRNA-sized RNAs, and putatively structured intron RNAs of potential biological, evolutionary, and biomarker significance, including a family of full-length excised intron RNAs, subsets of which correspond to mirtron pre-miRNAs or agotrons.
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Affiliation(s)
- Jun Yao
- Institute for Cellular and Molecular Biology and Departments of Molecular Biosciences and Oncology, University of TexasAustinUnited States
| | - Douglas C Wu
- Institute for Cellular and Molecular Biology and Departments of Molecular Biosciences and Oncology, University of TexasAustinUnited States
| | - Ryan M Nottingham
- Institute for Cellular and Molecular Biology and Departments of Molecular Biosciences and Oncology, University of TexasAustinUnited States
| | - Alan M Lambowitz
- Institute for Cellular and Molecular Biology and Departments of Molecular Biosciences and Oncology, University of TexasAustinUnited States
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26
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Nechooshtan G, Yunusov D, Chang K, Gingeras TR. Processing by RNase 1 forms tRNA halves and distinct Y RNA fragments in the extracellular environment. Nucleic Acids Res 2020; 48:8035-8049. [PMID: 32609822 PMCID: PMC7430647 DOI: 10.1093/nar/gkaa526] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 06/07/2020] [Accepted: 06/26/2020] [Indexed: 12/11/2022] Open
Abstract
Extracellular RNAs participate in intercellular communication, and are being studied as promising minimally invasive diagnostic markers. Several studies in recent years showed that tRNA halves and distinct Y RNA fragments are abundant in the extracellular space, including in biofluids. While their regulatory and diagnostic potential has gained a substantial amount of attention, the biogenesis of these extracellular RNA fragments remains largely unexplored. Here, we demonstrate that these fragments are produced by RNase 1, a highly active secreted nuclease. We use RNA sequencing to investigate the effect of a null mutation of RNase 1 on the levels of tRNA halves and Y RNA fragments in the extracellular environment of cultured human cells. We complement and extend our RNA sequencing results with northern blots, showing that tRNAs and Y RNAs in the non-vesicular extracellular compartment are released from cells as full-length precursors and are subsequently cleaved to distinct fragments. In support of these results, formation of tRNA halves is recapitulated by recombinant human RNase 1 in our in vitro assay. These findings assign a novel function for RNase 1, and position it as a strong candidate for generation of tRNA halves and Y RNA fragments in biofluids.
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Affiliation(s)
- Gal Nechooshtan
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Dinar Yunusov
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Kenneth Chang
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
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27
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Tosar JP, Cayota A. Extracellular tRNAs and tRNA-derived fragments. RNA Biol 2020; 17:1149-1167. [PMID: 32070197 PMCID: PMC7549618 DOI: 10.1080/15476286.2020.1729584] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 02/05/2020] [Accepted: 02/10/2020] [Indexed: 01/08/2023] Open
Abstract
Fragmentation of tRNAs generates a family of small RNAs collectively known as tRNA-derived fragments. These fragments vary in sequence and size but have been shown to regulate many processes involved in cell homoeostasis and adaptations to stress. Additionally, the field of extracellular RNAs (exRNAs) is rapidly growing because exRNAs are a promising source of biomarkers in liquid biopsies, and because exRNAs seem to play key roles in intercellular and interspecies communication. Herein, we review recent descriptions of tRNA-derived fragments in the extracellular space in all domains of life, both in biofluids and in cell culture. The purpose of this review is to find consensus on which tRNA-derived fragments are more prominent in each extracellular fraction (including extracellular vesicles, lipoproteins and ribonucleoprotein complexes). We highlight what is becoming clear and what is still controversial in this field, in order to stimulate future hypothesis-driven studies which could clarify the role of full-length tRNAs and tRNA-derived fragments in the extracellular space.
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Affiliation(s)
- Juan Pablo Tosar
- Analytical Biochemistry Unit, Nuclear Research Center, Faculty of Science, Universidad de la República, Montevideo, Uruguay
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
| | - Alfonso Cayota
- Functional Genomics Laboratory, Institut Pasteur de Montevideo, Montevideo, Uruguay
- Department of Medicine, University Hospital, Universidad de la República, Montevideo, Uruguay
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28
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The biologist on the hunt for extracellular ribosomes. Nature 2020. [DOI: 10.1038/d41586-020-01765-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Profiling the circulating mRNA transcriptome in human liver disease. Oncotarget 2020; 11:2216-2232. [PMID: 32577166 PMCID: PMC7289528 DOI: 10.18632/oncotarget.27617] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/16/2020] [Indexed: 01/05/2023] Open
Abstract
The human circulation contains cell-free DNA and non-coding microRNA (miRNA). Less is known about the presence of messenger RNA (mRNA). This report profiles the human circulating mRNA transcriptome in people with liver cirrhosis (LC) and hepatocellular carcinoma (HCC) to determine whether mRNA analytes can be used as biomarkers of liver disease. Using RNAseq and RT-qPCR, we investigate circulating mRNA in plasma from HCC and LC patients and demonstrate detection of transcripts representing more than 19,000 different protein coding genes. Remarkably, the circulating mRNA expression levels were similar from person to person over the 21 individuals whose samples were analyzed by RNAseq. Liver derived circulating transcripts such as albumin (ALB), apolipoprotein (APO) A1, A2 & H, serpin A1 & E1, ferritin light chain (FTL) and fibrinogen like 1 (FGL1) were significantly upregulated in HCC patient samples. Higher levels of some of these liver-specific transcripts in the plasma of HCC patients were confirmed by RT-qPCR in another cohort of 20 individuals. Several less abundant circulating transcripts associated with cancer were detected in most HCC samples, but not in healthy subjects. Liver specificity of circulating transcripts was confirmed by investigating their expression in HCC tumor and liver cancer cell lines. Liver specific mRNA sequences in the plasma were predominantly present outside circulating extracellular vesicles. Conclusions: The circulating “mRNA” transcriptome is remarkably consistent in diversity and expression from person to person. Detection of transcripts corresponding to disease selective polypeptides suggests the possibility that circulating mRNA can work as a biomarker analyte for cancer detection.
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Performance assessment of total RNA sequencing of human biofluids and extracellular vesicles. Sci Rep 2019; 9:17574. [PMID: 31772251 PMCID: PMC6879519 DOI: 10.1038/s41598-019-53892-x] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 11/06/2019] [Indexed: 12/16/2022] Open
Abstract
RNA profiling has emerged as a powerful tool to investigate the biomarker potential of human biofluids. However, despite enormous interest in extracellular nucleic acids, RNA sequencing methods to quantify the total RNA content outside cells are rare. Here, we evaluate the performance of the SMARTer Stranded Total RNA-Seq method in human platelet-rich plasma, platelet-free plasma, urine, conditioned medium, and extracellular vesicles (EVs) from these biofluids. We found the method to be accurate, precise, compatible with low-input volumes and able to quantify a few thousand genes. We picked up distinct classes of RNA molecules, including mRNA, lncRNA, circRNA, miscRNA and pseudogenes. Notably, the read distribution and gene content drastically differ among biofluids. In conclusion, we are the first to show that the SMARTer method can be used for unbiased unraveling of the complete transcriptome of a wide range of biofluids and their extracellular vesicles.
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Meistertzheim M, Fehlmann T, Drews F, Pirritano M, Gasparoni G, Keller A, Simon M. Comparative Analysis of Biochemical Biases by Ligation- and Template-Switch-Based Small RNA Library Preparation Protocols. Clin Chem 2019; 65:1581-1591. [PMID: 31645340 DOI: 10.1373/clinchem.2019.305045] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Accepted: 09/18/2019] [Indexed: 01/06/2023]
Abstract
BACKGROUND Small RNAs are key players in the regulation of gene expression and differentiation. However, many different classes of small RNAs (sRNAs) have been described with distinct biogenesis pathways and, as a result, with different biochemical properties. To analyze sRNAs by deep sequencing, complementary DNA synthesis requires manipulation of the RNA molecule itself. Thus, enzymatic activities during library preparation bias the library content owing to biochemical criteria. METHODS We compared 4 different manipulations of RNA for library preparation: (a) a ligation-based procedure allowing only 5'-mono-phosphorylated RNA to enter the library, (b) a ligation-based procedure allowing additional 5'-triphosphates and Cap structures, (c) a ligation-independent, template-switch-based library preparation, and (d) a template-switch-based library preparation allowing 3'-phosphorylated RNAs to enter the library. RESULTS Our data show large differences between ligation-dependent and ligation-independent libraries in terms of their preference for individual sRNA classes such as microRNAs (miRNAs), Piwi-interacting RNAs (piRNAs), and transfer RNA fragments. Moreover, the miRNA composition is different between both procedures, and more microRNA isoforms (isomiRs) can be identified after pyrophosphatase treatment. piRNAs are enriched in template-switch libraries, and this procedure apparently includes more different RNA species. CONCLUSIONS Our data indicate that miRNAomics from both methods will hardly be comparable. Ligation-based libraries enrich for canonical miRNAs, which thus may be suitable methods for miRNAomics. Template-switch libraries contain increased numbers and different compositions of fragments and long RNAs. Following different interests for other small RNA species, ligation-independent libraries appear to show a more realistic sRNA landscape with lower bias against biochemical modifications.
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Affiliation(s)
- Morgane Meistertzheim
- Molecular Cell Dynamics, Centre for Human and Molecular Biology, Saarland University, Saarbruecken, Germany
| | - Tobias Fehlmann
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, Saarbruecken, Germany
| | - Franziska Drews
- Molecular Cell Dynamics, Centre for Human and Molecular Biology, Saarland University, Saarbruecken, Germany.,Molecular Cell Biology and Microbiology, Wuppertal University, Wuppertal, Germany
| | - Marcello Pirritano
- Molecular Cell Dynamics, Centre for Human and Molecular Biology, Saarland University, Saarbruecken, Germany.,Molecular Cell Biology and Microbiology, Wuppertal University, Wuppertal, Germany
| | - Gilles Gasparoni
- Epigenetics, Centre for Human and Molecular Biology, Saarland University, Saarbruecken, Germany
| | - Andreas Keller
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, Saarbruecken, Germany
| | - Martin Simon
- Molecular Cell Dynamics, Centre for Human and Molecular Biology, Saarland University, Saarbruecken, Germany; .,Molecular Cell Biology and Microbiology, Wuppertal University, Wuppertal, Germany
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