Guest Editors:
Kin Fai Au, PhD, University of Michigan, USA
Chuan He, PhD, University of Chicago, USA
Mark Helm, PhD, Johannes Gutenberg University Mainz, Germany
Mingyao Li, PhD, University of Pennsylvania, USA
Kin Fai Au, PhD, University of Michigan, USA
Dr Kin Fai Au is Professor of Computational Medicine and Bioinformatics at University of Michigan, Ann Arbor. His research focuses on bioinformatics method development for sequencing data, especially for long reads in transcriptomics. He is also interested in developing innovative experimental long-read assays for (epi-)transcriptomics and epigenetics, and he is applying these experimental and bioinformatics techniques to interrogate the problems of gene isoform complexity, RNA modifications and transposable elements in early embryonic development and stem cell biology.
Chuan He, PhD, University of Chicago, USA
Dr He is the John T. Wilson Distinguished Service Professor at the University of Chicago. He received his B.S. degree in 1994 from the University of Science and Technology of China and his PhD. from the Massachusetts Institute of Technology in 2000. After training as a postdoctoral training at Harvard University, he joined the University of Chicago. He is also an investigator of the Howard Hughes Medical Institute. Dr He’s research spans a broad range of fields including chemical biology, RNA biology, epigenetics, biochemistry, and genomics. His recent research concerns reversible RNA and DNA methylation in biological regulation.
Mark Helm, PhD, Johannes Gutenberg University Mainz, Institute of Pharmaceutical and Biomedical Science (IPBS), Germany
Dr Mark Helm is Professor of Pharmaceutical Medicinal Chemistry. His research focusses on chemical biology of nucleic acid modifications. The Helm group integrates disciplines from chemistry, biology, physics, bioinformatics, and pharmacy to advance research on nucleic acids, in particular on RNA. The central focus is on RNA modifications of natural or synthetic origin. The lab is reputed for high-end LC-MS analytics of RNA nucleosides. Insight into how and why nature chemically modifies ribonucleosides guides the design and synthesis of man-made nucleic acids, with applications in fundamental science, biotech, and therapy alike. Mark Helm studied chemistry in Würzburg, Germany and received his PhD in Strasbourg, France. After Postdocs at Caltech, CA, USA and Berlin, Germany, he started his independent research in 2002 in Heidelberg, Germany. He moved to Mainz in 2009.
Mingyao Li, PhD, University of Pennsylvania, USA
Dr Mingyao Li is a Professor of Biostatistics at the University of Pennsylvania. Her research is focused on developing statistical and machine learning methods to explore cellular heterogeneity in disease-relevant tissues using single-cell and spatial transcriptomics. Recently, she has expanded her expertise into computational pathology, aiming to improve the analysis of spatial transcriptomics data. Dr Li is an elected member of the International Statistical Institute and a Fellow of both the American Statistical Association and the American Association for the Advancement of Science, in recognition of her significant contributions to biostatistics and biomedical research.
The RNome encompasses all RNA species, including mRNA, tRNA, rRNA, and various non-coding RNAs, present within a cell or tissue. Therefore, unlike mRNA sequencing alone, RNome sequencing provides a comprehensive view of the regulatory and functional landscape of the cell, offering deeper insights into cellular processes. Recently, technologies such as single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics have enabled the identification of novel RNA species, RNA modifications, alternative splicing events, and gene expression patterns within individual cells and tissues. By integrating RNome sequencing data with other omics technologies, researchers can uncover complex regulatory networks and develop targeted interventions for diseases. Consequently, the application of RNome sequencing in fields like cancer research, developmental biology, and neuroscience has led to significant discoveries and therapeutic advancements. This Collection aims to highlight the latest advancements in RNome sequencing technologies and their applications in understanding cellular functions, disease mechanisms, and therapeutic development.
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.
Image credit: © [M] CROCOTHERY / Stock.dobe.com
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This Collection welcomes submission of original Research, Method, Short Report, Review, and Database article types. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Advances and application of methods in RNome sequencing" from the dropdown menu.
All manuscripts submitted to this journal, including those submitted to collections and special issues, are assessed in line with our editorial policies and the journal’s peer review process. Reviewers and editors are required to declare competing interests and can be excluded from the peer review process if a competing interest exists.