1
|
Korhonen PK, La Rosa G, Sumanam SB, Gomez Morales MA, Ludovisi A, Pozio E, Tonanzi D, Chang BCH, Young ND, Gasser RB. Enhanced Genomic and Transcriptomic Resources for Trichinella pseudospiralis and T. spiralis to Underpin the Discovery of Molecular Differences between Stages and Species. Int J Mol Sci 2024; 25:7366. [PMID: 39000473 PMCID: PMC11242134 DOI: 10.3390/ijms25137366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/16/2024] Open
Abstract
Nematodes of the genus Trichinella are important pathogens of humans and animals. This study aimed to enhance the genomic and transcriptomic resources for T. pseudospiralis (non-encapsulated phenotype) and T. spiralis (encapsulated phenotype) and to explore transcriptional profiles. First, we improved the assemblies of the genomes of T. pseudospiralis (code ISS13) and T. spiralis (code ISS534), achieving genome sizes of 56.6 Mb (320 scaffolds, and an N50 of 1.02 Mb) and 63.5 Mb (568 scaffolds, and an N50 value of 0.44 Mb), respectively. Then, for each species, we produced RNA sequence data for three key developmental stages (first-stage muscle larvae [L1s], adults, and newborn larvae [NBLs]; three replicates for each stage), analysed differential transcription between stages, and explored enriched pathways and processes between species. Stage-specific upregulation was linked to cellular processes, metabolism, and host-parasite interactions, and pathway enrichment analysis showed distinctive biological processes and cellular localisations between species. Indeed, the secreted molecules calmodulin, calreticulin, and calsyntenin-with possible roles in modulating host immune responses and facilitating parasite survival-were unique to T. pseudospiralis and not detected in T. spiralis. These insights into the molecular mechanisms of Trichinella-host interactions might offer possible avenues for developing new interventions against trichinellosis.
Collapse
Affiliation(s)
- Pasi K Korhonen
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Giuseppe La Rosa
- European Union Reference Laboratory for Parasites, Department of Infectious Diseases, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy
| | - Sunita B Sumanam
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Maria Angeles Gomez Morales
- European Union Reference Laboratory for Parasites, Department of Infectious Diseases, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy
| | - Alessandra Ludovisi
- European Union Reference Laboratory for Parasites, Department of Infectious Diseases, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy
| | - Edoardo Pozio
- European Union Reference Laboratory for Parasites, Department of Infectious Diseases, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy
| | - Daniele Tonanzi
- European Union Reference Laboratory for Parasites, Department of Infectious Diseases, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy
| | - Bill C H Chang
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Neil D Young
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Robin B Gasser
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia
| |
Collapse
|
2
|
Yano N, Chong PF, Kojima KK, Miyoshi T, Luqmen-Fatah A, Kimura Y, Kora K, Kayaki T, Maizuru K, Hayashi T, Yokoyama A, Ajiro M, Hagiwara M, Kondo T, Kira R, Takita J, Yoshida T. Long-read sequencing identifies an SVA_D retrotransposon insertion deep within the intron of ATP7A as a novel cause of occipital horn syndrome. J Med Genet 2024:jmg-2024-110056. [PMID: 38960580 DOI: 10.1136/jmg-2024-110056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 06/25/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND SINE-VNTR-Alu (SVA) retrotransposons move from one genomic location to another in a 'copy-and-paste' manner. They continue to move actively and cause monogenic diseases through various mechanisms. Currently, disease-causing SVA retrotransposons are classified into human-specific young SVA_E or SVA_F subfamilies. In this study, we identified an evolutionarily old SVA_D retrotransposon as a novel cause of occipital horn syndrome (OHS). OHS is an X-linked, copper metabolism disorder caused by dysfunction of the copper transporter, ATP7A. METHODS We investigated a 16-year-old boy with OHS whose pathogenic variant could not be detected via routine molecular genetic analyses. RESULTS A 2.8 kb insertion was detected deep within the intron of the patient's ATP7A gene. This insertion caused aberrant mRNA splicing activated by a new donor splice site located within it. Long-read circular consensus sequencing enabled us to accurately read the entire insertion sequence, which contained highly repetitive and GC-rich segments. Consequently, the insertion was identified as an SVA_D retrotransposon. Antisense oligonucleotides (AOs) targeting the new splice site restored the expression of normal transcripts and functional ATP7A proteins. AO treatment alleviated excessive accumulation of copper in patient fibroblasts in a dose-dependent manner. Pedigree analysis revealed that the retrotransposon had moved into the OHS-causing position two generations ago. CONCLUSION This is the first report of a human monogenic disease caused by the SVA_D retrotransposon. The fact that the evolutionarily old SVA_D is still actively transposed, leading to increased copy numbers may make a notable impact on rare genetic disease research.
Collapse
Affiliation(s)
- Naoko Yano
- Department of Pediatrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Pin Fee Chong
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kenji K Kojima
- Genetic Information Research Institute, Cupertino, CA, USA
| | - Tomoichiro Miyoshi
- Laboratory for Retrotransposon Dynamics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Gene Mechanisms, Kyoto University Graduate School of Biostudies, Kyoto, Japan
| | - Ahmad Luqmen-Fatah
- Laboratory for Retrotransposon Dynamics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yu Kimura
- Department of Energy and Hydrocarbon Chemistry, Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | - Kengo Kora
- Department of Pediatrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Taisei Kayaki
- Department of Pediatrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Kanako Maizuru
- Department of Pediatrics, Tenri Yorozu Hospital, Tenri, Japan
| | - Takahiro Hayashi
- Department of Pediatrics, Kurashiki Central Hospital, Kurashiki, Japan
| | - Atsushi Yokoyama
- Department of Pediatrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masahiko Ajiro
- Division of Cancer RNA Research, National Cancer Center Research Institute, Tokyo, Japan
| | - Masatoshi Hagiwara
- Department of Drug Discovery Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Anatomy and Developmental Biology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Teruyuki Kondo
- Department of Energy and Hydrocarbon Chemistry, Graduate School of Engineering, Kyoto University, Kyoto, Japan
| | - Ryutaro Kira
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan
| | - Junko Takita
- Department of Pediatrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Takeshi Yoshida
- Department of Pediatrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| |
Collapse
|
3
|
Rajan-Babu IS, Dolzhenko E, Eberle MA, Friedman JM. Sequence composition changes in short tandem repeats: heterogeneity, detection, mechanisms and clinical implications. Nat Rev Genet 2024; 25:476-499. [PMID: 38467784 DOI: 10.1038/s41576-024-00696-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/13/2024]
Abstract
Short tandem repeats (STRs) are a class of repetitive elements, composed of tandem arrays of 1-6 base pair sequence motifs, that comprise a substantial fraction of the human genome. STR expansions can cause a wide range of neurological and neuromuscular conditions, known as repeat expansion disorders, whose age of onset, severity, penetrance and/or clinical phenotype are influenced by the length of the repeats and their sequence composition. The presence of non-canonical motifs, depending on the type, frequency and position within the repeat tract, can alter clinical outcomes by modifying somatic and intergenerational repeat stability, gene expression and mutant transcript-mediated and/or protein-mediated toxicities. Here, we review the diverse structural conformations of repeat expansions, technological advances for the characterization of changes in sequence composition, their clinical correlations and the impact on disease mechanisms.
Collapse
Affiliation(s)
- Indhu-Shree Rajan-Babu
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada.
| | | | | | - Jan M Friedman
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
| |
Collapse
|
4
|
Djari A, Madignier G, Di Valentin O, Gillet T, Frasse P, Djouhri A, Hu G, Julliard S, Liu M, Zhang Y, Regad F, Pirrello J, Maza E, Bouzayen M. Haplotype-resolved genome assembly and implementation of VitExpress, an open interactive transcriptomic platform for grapevine. Proc Natl Acad Sci U S A 2024; 121:e2403750121. [PMID: 38805269 PMCID: PMC11161759 DOI: 10.1073/pnas.2403750121] [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: 03/04/2024] [Accepted: 04/23/2024] [Indexed: 05/30/2024] Open
Abstract
Haplotype-resolved genome assemblies were produced for Chasselas and Ugni Blanc, two heterozygous Vitis vinifera cultivars by combining high-fidelity long-read sequencing and high-throughput chromosome conformation capture (Hi-C). The telomere-to-telomere full coverage of the chromosomes allowed us to assemble separately the two haplo-genomes of both cultivars and revealed structural variations between the two haplotypes of a given cultivar. The deletions/insertions, inversions, translocations, and duplications provide insight into the evolutionary history and parental relationship among grape varieties. Integration of de novo single long-read sequencing of full-length transcript isoforms (Iso-Seq) yielded a highly improved genome annotation. Given its higher contiguity, and the robustness of the IsoSeq-based annotation, the Chasselas assembly meets the standard to become the annotated reference genome for V. vinifera. Building on these resources, we developed VitExpress, an open interactive transcriptomic platform, that provides a genome browser and integrated web tools for expression profiling, and a set of statistical tools (StatTools) for the identification of highly correlated genes. Implementation of the correlation finder tool for MybA1, a major regulator of the anthocyanin pathway, identified candidate genes associated with anthocyanin metabolism, whose expression patterns were experimentally validated as discriminating between black and white grapes. These resources and innovative tools for mining genome-related data are anticipated to foster advances in several areas of grapevine research.
Collapse
Affiliation(s)
- Anis Djari
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| | - Guillaume Madignier
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
- Fondation Jean Poupelain, Cognac, Javrezac16100, France
| | - Olivia Di Valentin
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| | - Thibault Gillet
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| | - Pierre Frasse
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| | - Amel Djouhri
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| | - Guojian Hu
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
- Fondation Jean Poupelain, Cognac, Javrezac16100, France
| | - Sebastien Julliard
- Conservatoire du vignoble charentais, Institut de Formation de Richemont, Cherves-Richemont16370, France
| | - Mingchun Liu
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu610065, China
| | - Yang Zhang
- Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu610065, China
| | - Farid Regad
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| | - Julien Pirrello
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| | - Elie Maza
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| | - Mondher Bouzayen
- Laboratoire de Recherche en Sciences Végétales–Génomique et Biotechnologie des Fruits-UMR5546, Université de Toulouse, CNRS, Université Paul Sabatier, Institut Polytechnique de Toulouse, Auzeville Tolosan31326, France
| |
Collapse
|
5
|
Wang R, Zhang Y. Accelerating spliced alignment of long RNA sequencing reads using parallel maximal exact match retrieval. Comput Biol Med 2024; 175:108542. [PMID: 38714048 DOI: 10.1016/j.compbiomed.2024.108542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 04/15/2024] [Accepted: 04/28/2024] [Indexed: 05/09/2024]
Abstract
The genomics landscape has undergone a revolutionary transformation with the emergence of third-generation sequencing technologies. Fueled by the exponential surge in sequencing data, there is an urgent demand for accurate and rapid algorithms to effectively handle this burgeoning influx. Under such circumstances, we developed a parallelized, yet accuracy-lossless algorithm for maximal exact match (MEM) retrieval to strategically address the computational bottleneck of uLTRA, a leading spliced alignment algorithm known for its precision in handling long RNA sequencing (RNA-seq) reads. The design of the algorithm incorporates a multi-threaded strategy, enabling the concurrent processing of multiple reads simultaneously. Additionally, we implemented the serialization of index required for MEM retrieval to facilitate its reuse, resulting in accelerated startup for practical tasks. Extensive experiments demonstrate that our parallel algorithm achieves significant improvements in runtime, speedup, throughput, and memory usage. When applied to the largest human dataset, the algorithm achieves an impressive speedup of 10.78 × , significantly improving throughput on a large scale. Moreover, the integration of the parallel MEM retrieval algorithm into the uLTRA pipeline introduces a dual-layered parallel capability, consistently yielding a speedup of 4.99 × compared to the multi-process and single-threaded execution of uLTRA. The thorough analysis of experimental results underscores the adept utilization of parallel processing capabilities and its advantageous performance in handling large datasets. This study provides a showcase of parallelized strategies for MEM retrieval within the context of spliced alignment algorithm, effectively facilitating the process of RNA-seq data analysis. The code is available at https://github.com/RongxingWong/AcceleratingSplicedAlignment.
Collapse
Affiliation(s)
- Rongxing Wang
- School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China
| | - Yanju Zhang
- School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China; College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China.
| |
Collapse
|
6
|
Zhang A, Pi W, Wang Y, Li Y, Wang J, Liu S, Cui X, Liu H, Yao D, Zhao R. Update on functional analysis of long non-coding RNAs in common crops. FRONTIERS IN PLANT SCIENCE 2024; 15:1389154. [PMID: 38872885 PMCID: PMC11169716 DOI: 10.3389/fpls.2024.1389154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/08/2024] [Indexed: 06/15/2024]
Abstract
With the rapid advances in next-generation sequencing technology, numerous non-protein-coding transcripts have been identified, including long noncoding RNAs (lncRNAs), which are functional RNAs comprising more than 200 nucleotides. Although lncRNA-mediated regulatory processes have been extensively investigated in animals, there has been considerably less research on plant lncRNAs. Nevertheless, multiple studies on major crops showed lncRNAs are involved in crucial processes, including growth and development, reproduction, and stress responses. This review summarizes the progress in the research on lncRNA roles in several major crops, presents key strategies for exploring lncRNAs in crops, and discusses current challenges and future prospects. The insights provided in this review will enhance our comprehension of lncRNA functions in crops, with potential implications for improving crop genetics and breeding.
Collapse
Affiliation(s)
- Aijing Zhang
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
- College of Agronomy, Jilin Agricultural University, Changchun, China
| | - Wenxuan Pi
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Yashuo Wang
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Yuxin Li
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Jiaxin Wang
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Shuying Liu
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Xiyan Cui
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Huijing Liu
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Dan Yao
- College of Life Science, Jilin Agricultural University, Changchun, Jilin, China
| | - Rengui Zhao
- College of Agronomy, Jilin Agricultural University, Changchun, China
| |
Collapse
|
7
|
Madrigal G, Minhas BF, Catchen J. Klumpy: A tool to evaluate the integrity of long-read genome assemblies and illusive sequence motifs. Mol Ecol Resour 2024:e13982. [PMID: 38800997 DOI: 10.1111/1755-0998.13982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 05/13/2024] [Indexed: 05/29/2024]
Abstract
The improvement and decreasing costs of third-generation sequencing technologies has widened the scope of biological questions researchers can address with de novo genome assemblies. With the increasing number of reference genomes, validating their integrity with minimal overhead is vital for establishing confident results in their applications. Here, we present Klumpy, a tool for detecting and visualizing both misassembled regions in a genome assembly and genetic elements (e.g. genes) of interest in a set of sequences. By leveraging the initial raw reads in combination with their respective genome assembly, we illustrate Klumpy's utility by investigating antifreeze glycoprotein (afgp) loci across two icefishes, by searching for a reported absent gene in the northern snakehead fish, and by scanning the reference genomes of a mudskipper and bumblebee for misassembled regions. In the two former cases, we were able to provide support for the noncanonical placement of an afgp locus in the icefishes and locate the missing snakehead gene. Furthermore, our genome scans were able identify an unmappable locus in the mudskipper reference genome and identify a putative repetitive element shared among several species of bees.
Collapse
Affiliation(s)
- Giovanni Madrigal
- Department of Evolution, Ecology, and Behavior, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Bushra Fazal Minhas
- Informatics Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Julian Catchen
- Department of Evolution, Ecology, and Behavior, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Informatics Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| |
Collapse
|
8
|
Kumari P, Kaur M, Dindhoria K, Ashford B, Amarasinghe SL, Thind AS. Advances in long-read single-cell transcriptomics. Hum Genet 2024:10.1007/s00439-024-02678-x. [PMID: 38787419 DOI: 10.1007/s00439-024-02678-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 05/07/2024] [Indexed: 05/25/2024]
Abstract
Long-read single-cell transcriptomics (scRNA-Seq) is revolutionizing the way we profile heterogeneity in disease. Traditional short-read scRNA-Seq methods are limited in their ability to provide complete transcript coverage, resolve isoforms, and identify novel transcripts. The scRNA-Seq protocols developed for long-read sequencing platforms overcome these limitations by enabling the characterization of full-length transcripts. Long-read scRNA-Seq techniques initially suffered from comparatively poor accuracy compared to short read scRNA-Seq. However, with improvements in accuracy, accessibility, and cost efficiency, long-reads are gaining popularity in the field of scRNA-Seq. This review details the advances in long-read scRNA-Seq, with an emphasis on library preparation protocols and downstream bioinformatics analysis tools.
Collapse
Affiliation(s)
- Pallawi Kumari
- Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh, India
| | - Manmeet Kaur
- Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh, India
| | - Kiran Dindhoria
- Institute of Microbial Technology, Council of Scientific and Industrial Research, Chandigarh, India
| | - Bruce Ashford
- Illawarra Shoalhaven Local Health District (ISLHD), NSW Health, Wollongong, NSW, Australia
| | - Shanika L Amarasinghe
- Monash Biomedical Discovery Institute, Monash University, Clayton, VIC, 3800, Australia
- Walter and Eliza Hall Institute of Medical Research, 1G, Royal Parade, Parkville, VIC, 3025, Australia
| | - Amarinder Singh Thind
- Illawarra Shoalhaven Local Health District (ISLHD), NSW Health, Wollongong, NSW, Australia.
- The School of Chemistry and Molecular Bioscience (SCMB), University of Wollongong, Loftus St, Wollongong, NSW, 2500, Australia.
| |
Collapse
|
9
|
Parmar JM, Laing NG, Kennerson ML, Ravenscroft G. Genetics of inherited peripheral neuropathies and the next frontier: looking backwards to progress forwards. J Neurol Neurosurg Psychiatry 2024:jnnp-2024-333436. [PMID: 38744462 DOI: 10.1136/jnnp-2024-333436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/10/2024] [Indexed: 05/16/2024]
Abstract
Inherited peripheral neuropathies (IPNs) encompass a clinically and genetically heterogeneous group of disorders causing length-dependent degeneration of peripheral autonomic, motor and/or sensory nerves. Despite gold-standard diagnostic testing for pathogenic variants in over 100 known associated genes, many patients with IPN remain genetically unsolved. Providing patients with a diagnosis is critical for reducing their 'diagnostic odyssey', improving clinical care, and for informed genetic counselling. The last decade of massively parallel sequencing technologies has seen a rapid increase in the number of newly described IPN-associated gene variants contributing to IPN pathogenesis. However, the scarcity of additional families and functional data supporting variants in potential novel genes is prolonging patient diagnostic uncertainty and contributing to the missing heritability of IPNs. We review the last decade of IPN disease gene discovery to highlight novel genes, structural variation and short tandem repeat expansions contributing to IPN pathogenesis. From the lessons learnt, we provide our vision for IPN research as we anticipate the future, providing examples of emerging technologies, resources and tools that we propose that will expedite the genetic diagnosis of unsolved IPN families.
Collapse
Affiliation(s)
- Jevin M Parmar
- Rare Disease Genetics and Functional Genomics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Nigel G Laing
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Preventive Genetics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
| | - Marina L Kennerson
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Concord, New South Wales, Australia
- Molecular Medicine Laboratory, Concord Hospital, Concord, New South Wales, Australia
| | - Gianina Ravenscroft
- Rare Disease Genetics and Functional Genomics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
| |
Collapse
|
10
|
Paluchowska P, Lim Rossmann S, Lysøe E, Janiszewska M, Michalak K, Heydarnajad Giglou R, Torabi Giglou M, Brurberg MB, Śliwka J, Yin Z. Diversity of the Ry sto gene conferring resistance to potato virus Y in wild relatives of potato. BMC PLANT BIOLOGY 2024; 24:375. [PMID: 38714928 PMCID: PMC11077776 DOI: 10.1186/s12870-024-05089-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 04/30/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Potato virus Y (PVY) is among the economically most damaging viral pathogen in production of potato (Solanum tuberosum) worldwide. The gene Rysto derived from the wild potato relative Solanum stoloniferum confers extreme resistance to PVY. RESULTS The presence and diversity of Rysto were investigated in wild relatives of potato (298 genotypes representing 29 accessions of 26 tuber-bearing Solanum species) using PacBio amplicon sequencing. A total of 55 unique Rysto-like sequences were identified in 72 genotypes representing 12 accessions of 10 Solanum species and six resistant controls (potato cultivars Alicja, Bzura, Hinga, Nimfy, White Lady and breeding line PW363). The 55 Rysto-like sequences showed 89.87 to 99.98% nucleotide identity to the Rysto reference gene, and these encoded in total 45 unique protein sequences. While Rysto-like26 identified in Alicja, Bzura, White Lady and Rysto-like16 in PW363 encode a protein identical to the Rysto reference, the remaining 44 predicted Rysto-like proteins were 65.93 to 99.92% identical to the reference. Higher levels of diversity of the Rysto-like sequences were found in the wild relatives of potato than in the resistant control cultivars. The TIR and NB-ARC domains were the most conserved within the Rysto-like proteins, while the LRR and C-JID domains were more variable. Several Solanum species, including S. antipoviczii and S. hougasii, showed resistance to PVY. This study demonstrated Hyoscyamus niger, a Solanaceae species distantly related to Solanum, as a host of PVY. CONCLUSIONS The new Rysto-like variants and the identified PVY resistant potato genotypes are potential resistance sources against PVY in potato breeding. Identification of H. niger as a host for PVY is important for cultivation of this plant, studies on the PVY management, its ecology, and migrations. The amplicon sequencing based on PacBio SMRT and the following data analysis pipeline described in our work may be applied to obtain the nucleotide sequences and analyze any full-length genes from any, even polyploid, organisms.
Collapse
Affiliation(s)
- Paulina Paluchowska
- Plant Breeding and Acclimatization Institute - National Research Institute (IHAR-PIB) in Radzików, Młochów Division, Platanowa St. 19, Młochów, 05-831, Poland
| | - Simeon Lim Rossmann
- Department of Plant Sciences, Norwegian University of Life Sciences (NMBU), Ås, Norway
- Division of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway
| | - Erik Lysøe
- Division of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway
| | - Marta Janiszewska
- Plant Breeding and Acclimatization Institute - National Research Institute (IHAR-PIB) in Radzików, Młochów Division, Platanowa St. 19, Młochów, 05-831, Poland
| | - Krystyna Michalak
- Plant Breeding and Acclimatization Institute - National Research Institute (IHAR-PIB) in Radzików, Młochów Division, Platanowa St. 19, Młochów, 05-831, Poland
| | - Rasoul Heydarnajad Giglou
- Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, 56199-11367, Iran
| | - Mousa Torabi Giglou
- Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, 56199-11367, Iran
| | - May Bente Brurberg
- Department of Plant Sciences, Norwegian University of Life Sciences (NMBU), Ås, Norway
- Division of Biotechnology and Plant Health, Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway
| | - Jadwiga Śliwka
- Plant Breeding and Acclimatization Institute - National Research Institute (IHAR-PIB) in Radzików, Młochów Division, Platanowa St. 19, Młochów, 05-831, Poland
| | - Zhimin Yin
- Plant Breeding and Acclimatization Institute - National Research Institute (IHAR-PIB) in Radzików, Młochów Division, Platanowa St. 19, Młochów, 05-831, Poland.
| |
Collapse
|
11
|
Xu Z, Qu HQ, Chan J, Kao C, Hakonarson H, Wang K. Single-Cell Omics for Transcriptome CHaracterization (SCOTCH): isoform-level characterization of gene expression through long-read single-cell RNA sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.29.590597. [PMID: 38746128 PMCID: PMC11092450 DOI: 10.1101/2024.04.29.590597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
The advent of long-read single-cell transcriptome sequencing (lr-scRNA-Seq) represents a significant leap forward in single-cell genomics. With the recent introduction of R10 flowcells by Oxford Nanopore, we propose that previous computational methods designed to handle high sequencing error rates are no longer relevant, and that the prevailing approach using short reads to compile "barcode space" (candidate barcode list) to de-multiplex long reads are no longer necessary. Instead, computational methods should now shift focus on harnessing the unique benefits of long reads to analyze transcriptome complexity. In this context, we introduce a comprehensive suite of computational methods named Single-Cell Omics for Transcriptome CHaracterization (SCOTCH). Our method is compatible with the single-cell library preparation platform from both 10X Genomics and Parse Biosciences, facilitating the analysis of special cell populations, such as neurons, hepatocytes and developing cardiomyocytes. We specifically re-formulated the transcript mapping problem with a compatibility matrix and addressed the multiple-mapping issue using probabilistic inference, which allows the discovery of novel isoforms as well as the detection of differential isoform usage between cell populations. We evaluated SCOTCH through analysis of real data across different combinations of single-cell libraries and sequencing technologies (10X + Illumina, Parse + Illumina, 10X + Nanopore_R9, 10X + Nanopore_R10, Parse + Nanopore_R10), and showed its ability to infer novel biological insights on cell type-specific isoform expression. These datasets enhance the availability of publicly available data for continued development of computational approaches. In summary, SCOTCH allows extraction of more biological insights from the new advancements in single-cell library construction and sequencing technologies, facilitating the examination of transcriptome complexity at the single-cell level.
Collapse
Affiliation(s)
- Zhuoran Xu
- Graduate Group in Genomics and Computational Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Hui-Qi Qu
- The Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, 19104, USA
| | - Joe Chan
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Charlly Kao
- The Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, 19104, USA
| | - Hakon Hakonarson
- The Center for Applied Genomics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, 19104, USA
- Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, 19104, USA
| | - Kai Wang
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children’s Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| |
Collapse
|
12
|
Bell CG. Epigenomic insights into common human disease pathology. Cell Mol Life Sci 2024; 81:178. [PMID: 38602535 PMCID: PMC11008083 DOI: 10.1007/s00018-024-05206-2] [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: 01/19/2024] [Revised: 03/11/2024] [Accepted: 03/13/2024] [Indexed: 04/12/2024]
Abstract
The epigenome-the chemical modifications and chromatin-related packaging of the genome-enables the same genetic template to be activated or repressed in different cellular settings. This multi-layered mechanism facilitates cell-type specific function by setting the local sequence and 3D interactive activity level. Gene transcription is further modulated through the interplay with transcription factors and co-regulators. The human body requires this epigenomic apparatus to be precisely installed throughout development and then adequately maintained during the lifespan. The causal role of the epigenome in human pathology, beyond imprinting disorders and specific tumour suppressor genes, was further brought into the spotlight by large-scale sequencing projects identifying that mutations in epigenomic machinery genes could be critical drivers in both cancer and developmental disorders. Abrogation of this cellular mechanism is providing new molecular insights into pathogenesis. However, deciphering the full breadth and implications of these epigenomic changes remains challenging. Knowledge is accruing regarding disease mechanisms and clinical biomarkers, through pathogenically relevant and surrogate tissue analyses, respectively. Advances include consortia generated cell-type specific reference epigenomes, high-throughput DNA methylome association studies, as well as insights into ageing-related diseases from biological 'clocks' constructed by machine learning algorithms. Also, 3rd-generation sequencing is beginning to disentangle the complexity of genetic and DNA modification haplotypes. Cell-free DNA methylation as a cancer biomarker has clear clinical utility and further potential to assess organ damage across many disorders. Finally, molecular understanding of disease aetiology brings with it the opportunity for exact therapeutic alteration of the epigenome through CRISPR-activation or inhibition.
Collapse
Affiliation(s)
- Christopher G Bell
- William Harvey Research Institute, Barts & The London Faculty of Medicine, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.
| |
Collapse
|
13
|
Xie L, Gong X, Yang K, Huang Y, Zhang S, Shen L, Sun Y, Wu D, Ye C, Zhu QH, Fan L. Technology-enabled great leap in deciphering plant genomes. NATURE PLANTS 2024; 10:551-566. [PMID: 38509222 DOI: 10.1038/s41477-024-01655-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 02/20/2024] [Indexed: 03/22/2024]
Abstract
Plant genomes provide essential and vital basic resources for studying many aspects of plant biology and applications (for example, breeding). From 2000 to 2020, 1,144 genomes of 782 plant species were sequenced. In the past three years (2021-2023), 2,373 genomes of 1,031 plant species, including 793 newly sequenced species, have been assembled, representing a great leap. The 2,373 newly assembled genomes, of which 63 are telomere-to-telomere assemblies and 921 have been generated in pan-genome projects, cover the major phylogenetic clades. Substantial advances in read length, throughput, accuracy and cost-effectiveness have notably simplified the achievement of high-quality assemblies. Moreover, the development of multiple software tools using different algorithms offers the opportunity to generate more complete and complex assemblies. A database named N3: plants, genomes, technologies has been developed to accommodate the metadata associated with the 3,517 genomes that have been sequenced from 1,575 plant species since 2000. We also provide an outlook for emerging opportunities in plant genome sequencing.
Collapse
Affiliation(s)
- Lingjuan Xie
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China
| | - Xiaojiao Gong
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Kun Yang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Yujie Huang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Shiyu Zhang
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Leti Shen
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China
| | - Yanqing Sun
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Dongya Wu
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Chuyu Ye
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China
| | - Qian-Hao Zhu
- CSIRO Agriculture and Food, Black Mountain Laboratories, Canberra, Australia
| | - Longjiang Fan
- Institute of Crop Sciences & Institute of Bioinformatics, Zhejiang University, Hangzhou, China.
- Hainan Institute of Zhejiang University, Yazhou Bay, Shanya, China.
| |
Collapse
|
14
|
Olivucci G, Iovino E, Innella G, Turchetti D, Pippucci T, Magini P. Long read sequencing on its way to the routine diagnostics of genetic diseases. Front Genet 2024; 15:1374860. [PMID: 38510277 PMCID: PMC10951082 DOI: 10.3389/fgene.2024.1374860] [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: 01/22/2024] [Accepted: 02/26/2024] [Indexed: 03/22/2024] Open
Abstract
The clinical application of technological progress in the identification of DNA alterations has always led to improvements of diagnostic yields in genetic medicine. At chromosome side, from cytogenetic techniques evaluating number and gross structural defects to genomic microarrays detecting cryptic copy number variants, and at molecular level, from Sanger method studying the nucleotide sequence of single genes to the high-throughput next-generation sequencing (NGS) technologies, resolution and sensitivity progressively increased expanding considerably the range of detectable DNA anomalies and alongside of Mendelian disorders with known genetic causes. However, particular genomic regions (i.e., repetitive and GC-rich sequences) are inefficiently analyzed by standard genetic tests, still relying on laborious, time-consuming and low-sensitive approaches (i.e., southern-blot for repeat expansion or long-PCR for genes with highly homologous pseudogenes), accounting for at least part of the patients with undiagnosed genetic disorders. Third generation sequencing, generating long reads with improved mappability, is more suitable for the detection of structural alterations and defects in hardly accessible genomic regions. Although recently implemented and not yet clinically available, long read sequencing (LRS) technologies have already shown their potential in genetic medicine research that might greatly impact on diagnostic yield and reporting times, through their translation to clinical settings. The main investigated LRS application concerns the identification of structural variants and repeat expansions, probably because techniques for their detection have not evolved as rapidly as those dedicated to single nucleotide variants (SNV) identification: gold standard analyses are karyotyping and microarrays for balanced and unbalanced chromosome rearrangements, respectively, and southern blot and repeat-primed PCR for the amplification and sizing of expanded alleles, impaired by limited resolution and sensitivity that have not been significantly improved by the advent of NGS. Nevertheless, more recently, with the increased accuracy provided by the latest product releases, LRS has been tested also for SNV detection, especially in genes with highly homologous pseudogenes and for haplotype reconstruction to assess the parental origin of alleles with de novo pathogenic variants. We provide a review of relevant recent scientific papers exploring LRS potential in the diagnosis of genetic diseases and its potential future applications in routine genetic testing.
Collapse
Affiliation(s)
- Giulia Olivucci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Surgical and Oncological Sciences, University of Palermo, Palermo, Italy
| | - Emanuela Iovino
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giovanni Innella
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Daniela Turchetti
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Tommaso Pippucci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Pamela Magini
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| |
Collapse
|
15
|
Yang G, Xin Q, Dean J. Degradation and translation of maternal mRNA for embryogenesis. Trends Genet 2024; 40:238-249. [PMID: 38262796 DOI: 10.1016/j.tig.2023.12.008] [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: 09/25/2023] [Revised: 12/23/2023] [Accepted: 12/29/2023] [Indexed: 01/25/2024]
Abstract
Maternal mRNAs accumulate during egg growth and must be judiciously degraded or translated to ensure successful development of mammalian embryos. In this review we integrate recent investigations into pathways controlling rapid degradation of maternal mRNAs during the maternal-to-zygotic transition. Degradation is not indiscriminate, and some mRNAs are selectively protected and rapidly translated after fertilization for reprogramming the zygotic genome during early embryogenesis. Oocyte specific cofactors and pathways have been illustrated to control different futures of maternal mRNAs. We discuss mechanisms that control the fate of maternal mRNAs during late oogenesis and after fertilization. Issues to be resolved in current maternal mRNA research are described, and future research directions are proposed.
Collapse
Affiliation(s)
- Guanghui Yang
- Laboratory of Cellular and Developmental Biology, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA.
| | - Qiliang Xin
- Laboratory of Cellular and Developmental Biology, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jurrien Dean
- Laboratory of Cellular and Developmental Biology, NIDDK, National Institutes of Health, Bethesda, MD 20892, USA.
| |
Collapse
|
16
|
Liu X, Zheng J, Ding J, Wu J, Zuo F, Zhang G. When Livestock Genomes Meet Third-Generation Sequencing Technology: From Opportunities to Applications. Genes (Basel) 2024; 15:245. [PMID: 38397234 PMCID: PMC10888458 DOI: 10.3390/genes15020245] [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: 12/23/2023] [Revised: 01/30/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
Third-generation sequencing technology has found widespread application in the genomic, transcriptomic, and epigenetic research of both human and livestock genetics. This technology offers significant advantages in the sequencing of complex genomic regions, the identification of intricate structural variations, and the production of high-quality genomes. Its attributes, including long sequencing reads, obviation of PCR amplification, and direct determination of DNA/RNA, contribute to its efficacy. This review presents a comprehensive overview of third-generation sequencing technologies, exemplified by single-molecule real-time sequencing (SMRT) and Oxford Nanopore Technology (ONT). Emphasizing the research advancements in livestock genomics, the review delves into genome assembly, structural variation detection, transcriptome sequencing, and epigenetic investigations enabled by third-generation sequencing. A comprehensive analysis is conducted on the application and potential challenges of third-generation sequencing technology for genome detection in livestock. Beyond providing valuable insights into genome structure analysis and the identification of rare genes in livestock, the review ventures into an exploration of the genetic mechanisms underpinning exemplary traits. This review not only contributes to our understanding of the genomic landscape in livestock but also provides fresh perspectives for the advancement of research in this domain.
Collapse
Affiliation(s)
- Xinyue Liu
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.Z.); (J.D.); (J.W.); (F.Z.)
| | - Junyuan Zheng
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.Z.); (J.D.); (J.W.); (F.Z.)
| | - Jialan Ding
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.Z.); (J.D.); (J.W.); (F.Z.)
| | - Jiaxin Wu
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.Z.); (J.D.); (J.W.); (F.Z.)
| | - Fuyuan Zuo
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.Z.); (J.D.); (J.W.); (F.Z.)
- Beef Cattle Engineering and Technology Research Center of Chongqing, Southwest University, Rongchang, Chongqing 402460, China
| | - Gongwei Zhang
- College of Animal Science and Technology, Southwest University, Rongchang, Chongqing 402460, China; (X.L.); (J.Z.); (J.D.); (J.W.); (F.Z.)
- Beef Cattle Engineering and Technology Research Center of Chongqing, Southwest University, Rongchang, Chongqing 402460, China
| |
Collapse
|
17
|
Zhu H, Roelands J, Ahmed EI, Stouten I, Hoorntje R, van Vlierberghe RLP, Ijsselsteijn ME, Lei X, de Miranda NFCC, Tollenaar RAEM, Vahrmeijer AL, Bedognetti D, Hendrickx WRL, Kuppen PJK. Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer. Front Immunol 2024; 15:1293618. [PMID: 38375478 PMCID: PMC10875018 DOI: 10.3389/fimmu.2024.1293618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/16/2024] [Indexed: 02/21/2024] Open
Abstract
Background Colon cancer is a heterogeneous disease and consists of various molecular subtypes. Despite advances in high-throughput expression profiling, limitations remain in predicting clinical outcome and assigning specific treatment to individual cases. Tumor-immune interactions play a critical role, with tumors that activate the immune system having better outcome for the patient. The localization of T cells within tumor epithelium, to enable direct contact, is essential for antitumor function, but bulk DNA/RNA sequencing data lacks spatial distribution information. In this study, we provide spatial T cell tumor distribution and connect these data with previously determined genomic data in the AC-ICAM colon cancer patient cohort. Methods Colon cancer patients (n=90) with transcriptome data available were selected. We used a custom multiplex immunofluorescence assay on colon tumor tissue sections for quantifying T cell subsets spatial distribution in the tumor microenvironment, in terms of cell number, location, mutual distance, and distance to tumor cells. Statistical analyses included the previously determined Immunologic Constant of Rejection (ICR) transcriptome correlation and patient survival, revealing potential prognostic value in T cell spatial distribution. Results T cell phenotypes were characterized and CD3+CD8-FoxP3- T cells were found to be the predominant tumor-infiltrating subtype while CD3+FoxP3+ T cells and CD3+CD8+ T cells showed similar densities. Spatial distribution analysis elucidated that proliferative T cells, characterized by Ki67 expression, and Granzyme B-expressing T cells were predominantly located within the tumor epithelium. We demonstrated an increase in immune cell density and a decrease in the distance of CD3+CD8+ T cells to the nearest tumor cell, in the immune active, ICR High, immune subtypes. Higher densities of stromal CD3+FoxP3+ T cells showed enhanced survival outcomes, and patients exhibited superior clinical benefits when greater spatial distances were observed between CD3+CD8-FoxP3- or CD3+CD8+ T cells and CD3+FoxP3+ T cells. Conclusion Our study's in-depth analysis of the spatial distribution and densities of major T cell subtypes within the tumor microenvironment has provided valuable information that paves the way for further research into the intricate relationships between immune cells and colon cancer development.
Collapse
Affiliation(s)
- Hehuan Zhu
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Jessica Roelands
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, Netherlands
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | - Eiman I. Ahmed
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Qatar University, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Imke Stouten
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Rachel Hoorntje
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | | | | | - Xin Lei
- Department of Immunology and Oncode Institute, Leiden University Medical Center, Leiden, Netherlands
| | | | | | | | - Davide Bedognetti
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Kite, A Gilead Company, Santa Monica, CA, United States
| | - Wouter R. L. Hendrickx
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Tumor Biology and Immunology Lab, Research Branch, Sidra Medicine, Doha, Qatar
| | - Peter J. K. Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| |
Collapse
|
18
|
Mackinnon AC, Chandrashekar DS, Suster DI. Molecular pathology as basis for timely cancer diagnosis and therapy. Virchows Arch 2024; 484:155-168. [PMID: 38012424 DOI: 10.1007/s00428-023-03707-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/16/2023] [Accepted: 11/08/2023] [Indexed: 11/29/2023]
Abstract
Precision and personalized therapeutics have witnessed significant advancements in technology, revolutionizing the capabilities of laboratories to generate vast amounts of genetic data. Coupled with computational resources for analysis and interpretation, and integrated with various other types of data, including genomic data, electronic medical health (EMH) data, and clinical knowledge, these advancements support optimized health decisions. Among these technologies, next-generation sequencing (NGS) stands out as a transformative tool in the field of cancer treatment, playing a crucial role in precision oncology. NGS-based workflows are employed across a range of applications, including gene panels, exome sequencing, and whole-genome sequencing, supporting comprehensive analysis of the entire cancer genome, including mutations, copy number variations, gene expression profiles, and epigenetic modifications. By utilizing the power of NGS, these workflows contribute to enhancing our understanding of disease mechanisms, diagnosis confirmation, identifying therapeutic targets, and guiding personalized treatment decisions. This manuscript explores the diverse applications of NGS in cancer treatment, highlighting its significance in guiding diagnosis and treatment decisions, identifying therapeutic targets, monitoring disease progression, and improving patient outcomes.
Collapse
Affiliation(s)
- A Craig Mackinnon
- Department of Pathology, University of Alabama at Birmingham, 619 19Th Street South, Birmingham, AL, 35249, USA.
| | | | - David I Suster
- Department of Pathology, Rutgers University New Jersey Medical School, 150 Bergen Street, Newark, NJ, 07103, USA.
| |
Collapse
|
19
|
Wei ZG, Bu PY, Zhang XD, Liu F, Qian Y, Wu FX. invMap: a sensitive mapping tool for long noisy reads with inversion structural variants. BIOINFORMATICS (OXFORD, ENGLAND) 2023; 39:btad726. [PMID: 38058196 DOI: 10.1093/bioinformatics/btad726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 11/02/2023] [Accepted: 12/05/2023] [Indexed: 12/08/2023]
Abstract
MOTIVATION Longer reads produced by PacBio or Oxford Nanopore sequencers could more frequently span the breakpoints of structural variations (SVs) than shorter reads. Therefore, existing long-read mapping methods often generate wrong alignments and variant calls. Compared to deletions and insertions, inversion events are more difficult to be detected since the anchors in inversion regions are nonlinear to those in SV-free regions. To address this issue, this study presents a novel long-read mapping algorithm (named as invMap). RESULTS For each long noisy read, invMap first locates the aligned region with a specifically designed scoring method for chaining, then checks the remaining anchors in the aligned region to discover potential inversions. We benchmark invMap on simulated datasets across different genomes and sequencing coverages, experimental results demonstrate that invMap is more accurate to locate aligned regions and call SVs for inversions than the competing methods. The real human genome sequencing dataset of NA12878 illustrates that invMap can effectively find more candidate variant calls for inversions than the competing methods. AVAILABILITY AND IMPLEMENTATION The invMap software is available at https://github.com/zhang134/invMap.git.
Collapse
Affiliation(s)
- Ze-Gang Wei
- School of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji 721016, China
- Division of Biomedical Engineering, Department of Computer Science and Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Peng-Yu Bu
- School of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji 721016, China
| | - Xiao-Dan Zhang
- School of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji 721016, China
| | - Fei Liu
- School of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji 721016, China
| | - Yu Qian
- School of Physics and Optoelectronics Technology, Baoji University of Arts and Sciences, Baoji 721016, China
| | - Fang-Xiang Wu
- Division of Biomedical Engineering, Department of Computer Science and Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| |
Collapse
|
20
|
Zhao Y, Huang F, Wang W, Gao R, Fan L, Wang A, Gao SH. Application of high-throughput sequencing technologies and analytical tools for pathogen detection in urban water systems: Progress and future perspectives. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 900:165867. [PMID: 37516185 DOI: 10.1016/j.scitotenv.2023.165867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 07/31/2023]
Abstract
The ubiquitous presence of pathogenic microorganisms, such as viruses, bacteria, fungi, and protozoa, in urban water systems poses a significant risk to public health. The emergence of infectious waterborne diseases mediated by urban water systems has become one of the leading global causes of mortality. However, the detection and monitoring of these pathogenic microorganisms have been limited by the complexity and diversity in the environmental samples. Conventional methods were restricted by long assay time, high benchmarks of identification, and narrow application sceneries. Novel technologies, such as high-throughput sequencing technologies, enable potentially full-spectrum detection of trace pathogenic microorganisms in complex environmental matrices. This review discusses the current state of high-throughput sequencing technologies for identifying pathogenic microorganisms in urban water systems with a concise summary. Furthermore, future perspectives in pathogen research emphasize the need for detection methods with high accuracy and sensitivity, the establishment of precise detection standards and procedures, and the significance of bioinformatics software and platforms. We have compiled a list of pathogens analysis software/platforms/databases that boast robust engines and high accuracy for preference. We highlight the significance of analyses by combining targeted and non-targeted sequencing technologies, short and long reads technologies, sequencing technologies, and bioinformatic tools in pursuing upgraded biosafety in urban water systems.
Collapse
Affiliation(s)
- Yanmei Zhao
- State Key Laboratory of Urban Water Resource and Environment, School of Civil & Environmental Engineering, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China
| | - Fang Huang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Wenxiu Wang
- Department of Ocean Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China.
| | - Rui Gao
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Lu Fan
- Department of Ocean Science and Engineering, Southern University of Science and Technology (SUSTech), Shenzhen, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China
| | - Aijie Wang
- State Key Laboratory of Urban Water Resource and Environment, School of Civil & Environmental Engineering, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China; State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China
| | - Shu-Hong Gao
- State Key Laboratory of Urban Water Resource and Environment, School of Civil & Environmental Engineering, Harbin Institute of Technology Shenzhen, Shenzhen 518055, China.
| |
Collapse
|
21
|
Thomson AJ, Rehn JA, Heatley SL, Eadie LN, Page EC, Schutz C, McClure BJ, Sutton R, Dalla-Pozza L, Moore AS, Greenwood M, Kotecha RS, Fong CY, Yong ASM, Yeung DT, Breen J, White DL. Reproducible Bioinformatics Analysis Workflows for Detecting IGH Gene Fusions in B-Cell Acute Lymphoblastic Leukaemia Patients. Cancers (Basel) 2023; 15:4731. [PMID: 37835427 PMCID: PMC10571859 DOI: 10.3390/cancers15194731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023] Open
Abstract
B-cell acute lymphoblastic leukaemia (B-ALL) is characterised by diverse genomic alterations, the most frequent being gene fusions detected via transcriptomic analysis (mRNA-seq). Due to its hypervariable nature, gene fusions involving the Immunoglobulin Heavy Chain (IGH) locus can be difficult to detect with standard gene fusion calling algorithms and significant computational resources and analysis times are required. We aimed to optimize a gene fusion calling workflow to achieve best-case sensitivity for IGH gene fusion detection. Using Nextflow, we developed a simplified workflow containing the algorithms FusionCatcher, Arriba, and STAR-Fusion. We analysed samples from 35 patients harbouring IGH fusions (IGH::CRLF2 n = 17, IGH::DUX4 n = 15, IGH::EPOR n = 3) and assessed the detection rates for each caller, before optimizing the parameters to enhance sensitivity for IGH fusions. Initial results showed that FusionCatcher and Arriba outperformed STAR-Fusion (85-89% vs. 29% of IGH fusions reported). We found that extensive filtering in STAR-Fusion hindered IGH reporting. By adjusting specific filtering steps (e.g., read support, fusion fragments per million total reads), we achieved a 94% reporting rate for IGH fusions with STAR-Fusion. This analysis highlights the importance of filtering optimization for IGH gene fusion events, offering alternative workflows for difficult-to-detect high-risk B-ALL subtypes.
Collapse
Affiliation(s)
- Ashlee J. Thomson
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
| | - Jacqueline A. Rehn
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
| | - Susan L. Heatley
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
- Australian and New Zealand Children’s Oncology Group (ANZCHOG), Clayton, VIC 3168, Australia
| | - Laura N. Eadie
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
| | - Elyse C. Page
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
| | - Caitlin Schutz
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
| | - Barbara J. McClure
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
| | - Rosemary Sutton
- Molecular Diagnostics, Children’s Cancer Institute, Kensington, NSW 2750, Australia;
| | - Luciano Dalla-Pozza
- The Cancer Centre for Children, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia;
| | - Andrew S. Moore
- Oncology Service, Children’s Health Queensland Hospital and Health Service, Brisbane, QLD 4101, Australia;
- Child Health Research Centre, The University of Queensland, Brisbane, QLD 4000, Australia
| | - Matthew Greenwood
- Department of Haematology and Transfusion Services, Royal North Shore Hospital, Sydney, NSW 2065, Australia;
- Faculty of Health and Medicine, University of Sydney, Sydney, NSW 2006, Australia
| | - Rishi S. Kotecha
- Department of Clinical Haematology, Oncology, Blood and Marrow Transplantation, Perth Children’s Hospital, Perth, WA 6009, Australia;
- Leukaemia Translational Research Laboratory, Telethon Kids Cancer Centre, Telethon Kids Institute, University of Western Australia, Perth, WA 6009, Australia
- Curtin Medical School, Curtin University, Perth, WA 6845, Australia
| | - Chun Y. Fong
- Department of Clinical Haematology, Austin Health, Heidelberg, VIC 3083, Australia;
| | - Agnes S. M. Yong
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia
- Division of Pathology & Laboratory, University of Western Australia Medical School, Perth, WA 6009, Australia
- Department of Haematology, Royal Perth Hospital, Perth, WA 6000, Australia
| | - David T. Yeung
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
- Haematology Department, Royal Adelaide Hospital and SA Pathology, Adelaide, SA 5000, Australia
| | - James Breen
- Black Ochre Data Labs, Indigenous Genomics, Telethon Kids Institute, Adelaide, SA 5000, Australia
- James Curtin School of Medical Research, Australian National University, Canberra, ACT 2601, Australia
| | - Deborah L. White
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5005, Australia; (J.A.R.); (S.L.H.); (L.N.E.); (E.C.P.); (B.J.M.); (A.S.M.Y.); (D.T.Y.); (D.L.W.)
- Blood Cancer Program, Precision Cancer Medicine Theme, South Australian Health & Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia;
- Australian and New Zealand Children’s Oncology Group (ANZCHOG), Clayton, VIC 3168, Australia
- Australian Genomics Health Alliance (AGHA), The Murdoch Children’s Research Institute, Parkville, VIC 3052, Australia
| |
Collapse
|