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| Open AccessBone marrow stromal cells induce chromatin remodeling in multiple myeloma cells leading to transcriptional changes
Bone marrow stromal cells (BMSCs) are known to promote the development of drug resistance. Here, the authors investigate the chromatin remodeling and associated changes in gene expression in the multiple myeloma (MM) cells following their interactions with BMSCs, which are also observed in extramedullary disease (EMD).
- Moritz Binder
- , Raphael E. Szalat
- & Nikhil C. Munshi
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Article
| Open AccessQuantifying 3′UTR length from scRNA-seq data reveals changes independent of gene expression
While gene expression analysis is commonly performed, 3′UTR length analysis is limited due to technical challenges. Here the authors provide an open-access analysis pipeline for scRNA-seq data to simultaneously quantify gene expression and 3′UTR length.
- Mervin M. Fansler
- , Sibylle Mitschka
- & Christine Mayr
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| Open AccessGRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks
Benchmarking GRN inference methods remains a challenge. Here, authors present GRouNdGAN, a causal generative model that imposes a user-defined GRN in its architecture to simulate realistic single-cell data, bridging the gap between synthetic and biological data benchmarks of GRN inference methods.
- Yazdan Zinati
- , Abdulrahman Takiddeen
- & Amin Emad
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Article
| Open AccessTransfer learning enables identification of multiple types of RNA modifications using nanopore direct RNA sequencing
Simultaneous profiling of multiple RNA modifications is a promising yet understudied field of research. Here, authors develop a transferable deep learning framework capable of detecting multiple types of RNA modifications in single nanopore sequencing sample.
- You Wu
- , Wenna Shao
- & Xiang Yu
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Article
| Open AccessPrediction of m6A and m5C at single-molecule resolution reveals a transcriptome-wide co-occurrence of RNA modifications
The epitranscriptome holds many unexplored RNA functions, but detecting multiple modifications from one sample remains challenging. Here, authors devise a strategy combining AI and nanopore sequencing to uncover a transcriptome-wide co-occurrence of two modification types in individual RNA molecules.
- P Acera Mateos
- , A J Sethi
- & E Eyras
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Article
| Open AccessA common polymorphism in the Intelectin-1 gene influences mucus plugging in severe asthma
Type 2 inflammation drives the formation of pathologic mucus in patients with asthma. Here, authors reveal a role for intelectin-1 in IL-13-induced mucus properties, and that an ITLN1 eQTL is associated with protection from the formation of mucus plugs in T2-high asthma.
- Jamie L. Everman
- , Satria P. Sajuthi
- & Max A. Seibold
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Article
| Open AccesstauFisher predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data
There is a need to determine circadian time in gene expression datasets. Here, authors built tauFisher, a pipeline that predicts circadian time labels from single transcriptomic samples. tauFisher will be useful for determining body clock time in circadian medicine and for research.
- Junyan Duan
- , Michelle N. Ngo
- & Bogi Andersen
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Article
| Open AccessSpatially revealed roles for lncRNAs in Drosophila spermatogenesis, Y chromosome function and evolution
In Drosophila, long noncoding RNAs (lncRNAs) are expressed most highly in male germline cells. Here the authors report the subcellular distributions of approximately 600 Drosophila lncRNAs in male reproductive tissues, indicating potential involvement in spermatogenesis, fertility and evolution.
- Zhantao Shao
- , Jack Hu
- & Henry M. Krause
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Article
| Open AccessDisentangling genetic effects on transcriptional and post-transcriptional gene regulation through integrating exon and intron expression QTLs
Expression quantitative trait loci (eQTL) studies typically only consider exon expression levels and discard intronic RNA sequencing reads. Here, the authors show that analyzing eQTLs together with QTLs for intron levels and exon-intron ratios expands the number and functional understanding of genetic effects on gene regulatory processes.
- Anneke Brümmer
- & Sven Bergmann
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Article
| Open AccessThe impact of exercise on gene regulation in association with complex trait genetics
It is known that exercise influences many human traits, but not which tissues and genes are most important. This study connects transcriptome data collected across 15 tissues during exercise training in rats as part of the Molecular Transducers of Physical Activity Consortium with human data to identify traits with similar tissue specific gene expression signatures to exercise.
- Nikolai G. Vetr
- , Nicole R. Gay
- & Stephen B. Montgomery
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Article
| Open AccessGlis2 is an early effector of polycystin signaling and a target for therapy in polycystic kidney disease
Cyst growth in autosomal dominant polycystic kidney disease (ADPKD) is driven by unknown molecular signals that require the presence of intact primary cilia in the absence of the PKD gene products. Here, the authors show that the transcription factor Glis2 is a key effector of this cilia dependent cyst growth pathway and a potential target for therapy in ADPKD
- Chao Zhang
- , Michael Rehman
- & Stefan Somlo
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Article
| Open AccessIdentifying tumor type and cell type-specific gene expression alterations in pediatric central nervous system tumors
The molecular features of paediatric central nervous system (CNS) tumours are not fully understood, posing a challenge for targeted therapies. Here, the authors characterise paediatric CNS tumours using single-nucleus RNA-seq; they identify cell type populations associated with specific tumour types and with response to therapy.
- Min Kyung Lee
- , Nasim Azizgolshani
- & Brock C. Christensen
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Article
| Open AccessMitochondrial complex I deficiency stratifies idiopathic Parkinson’s disease
Idiopathic Parkinson’s disease can be stratified according to the severity of neuronal respiratory complex I deficiency. The emerging disease subtypes show distinct molecular and clinical profiles.
- Irene H. Flønes
- , Lilah Toker
- & Charalampos Tzoulis
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Article
| Open Accesshoxc12/c13 as key regulators for rebooting the developmental program in Xenopus limb regeneration
During organ regeneration, gene expression patterns similar to those in normal development are reestablished. Here, Kawasumi-Kita et al. explore core rebooting factors that operate during Xenopus limb regeneration. Their results indicate that hoxc12 and hoxc13 are critical for reactivating tissue growth.
- Aiko Kawasumi-Kita
- , Sang-Woo Lee
- & Yoshihiro Morishita
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Article
| Open AccessHost response during unresolved urinary tract infection alters female mammary tissue homeostasis through collagen deposition and TIMP1
Urinary tract infections (UTIs) can elicit systemic host-responses. Here the authors report that, in a mouse model, unresolved UTI is associated with alterations of the mammary tissue, including collagen deposition and hyperplasia.
- Samantha Henry
- , Steven Macauley Lewis
- & Camila Oresco dos Santos
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Article
| Open AccessPRPF8-mediated dysregulation of hBrr2 helicase disrupts human spliceosome kinetics and 5´-splice-site selection causing tissue-specific defects
PRPF8 is a hotspot for mutations causing retinitis pigmentosa-type 13. Here the authors generated PRPF8 patient-specific retinal cells, demonstrating an important role for this splicing factor in spliceosome kinetics and 5’ splice site selection.
- Robert Atkinson
- , Maria Georgiou
- & Majlinda Lako
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Article
| Open AccessSingle-cell and spatial RNA sequencing reveal the spatiotemporal trajectories of fruit senescence
Fruit senescence is a complex physiological process. Here, the authors construct a single-cell expression atlas of pitaya pericarp pitaya to provide a spatiotemporal perspective of the dynamic process of plant senescence.
- Xin Li
- , Bairu Li
- & Robert Henry
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Article
| Open AccessProfiling the colonic mucosal response to fecal microbiota transplantation identifies a role for GBP5 in colitis in humans and mice
Faecal microbiota transplantation (FMT) can be used to treat established colitis. Here the authors profile transcriptional changes in humans after FMT and how this relates to colitis remission identifying a role for GBP5, and this protein is validated in a loss-of-function mouse model.
- Laurence D. W. Luu
- , Abhimanu Pandey
- & Nadeem O. Kaakoush
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Article
| Open AccessMapping human tissues with highly multiplexed RNA in situ hybridization
Application of multiplexed RNA in situ mapping techniques to human tissues remains challenging. Here, the authors report DART-FISH, a padlock probe-based technology capable of profiling large numbers of genes in centimetre-sized human tissue sections.
- Kian Kalhor
- , Chien-Ju Chen
- & Kun Zhang
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Article
| Open AccessA universal molecular control for DNA, mRNA and protein expression
Multi-omics analyses powerfully combine gene expression and translation, however no available controls can be used across these techniques. Here the authors develop pREF, a universal control construct designed for use in DNA, RNA and protein analyses.
- Helen M. Gunter
- , Scott E. Youlten
- & Tim R. Mercer
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Article
| Open AccessExemestane plus everolimus and palbociclib in metastatic breast cancer: clinical response and genomic/transcriptomic determinants of resistance in a phase I/II trial
Intrinsic and acquired resistances to CDK4/6 inhibitors have been described in patients with breast cancer. Here the authors report the results from a phase I/II clinical trial of the aromatase inhibitor exemestane plus everolimus (mTOR inhibitor) and palbociclib (CDK4/6i) in patients with metastatic breast cancer, assessing safety, clinical efficacy, as well as genomic and transcriptomic determinants of resistance.
- Jorge Gómez Tejeda Zañudo
- , Romualdo Barroso-Sousa
- & Nikhil Wagle
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| Open AccessHighly sensitive spatial transcriptomics using FISHnCHIPs of multiple co-expressed genes
Leveraging the fact that eukaryotic genomes are organized into gene modules, FISHnCHIPs images multiple co-expressed genes simultaneously for sensitive and high throughput profiling of gene programs and cell types in tissues.
- Xinrui Zhou
- , Wan Yi Seow
- & Kok Hao Chen
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Article
| Open AccessCharting cellular differentiation trajectories with Ricci flow
When stem cells develop into tissues intracellular signalling is rewired, errors in this process lead to cancer. Here, authors applied tools from differential geometry made by Albert Einstein’s General Relativity to understand and predict biological network rewiring in health and disease.
- Anthony Baptista
- , Ben D. MacArthur
- & Christopher R. S. Banerji
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Article
| Open AccessSingle-cell division tracing and transcriptomics reveal cell types and differentiation paths in the regenerating lung
This study uses single-cell transcriptomics to examine how lung cells respond to targeted damage. The authors employ genetically modified mouse models and cell sorting to enrich for rare, actively dividing cells, revealing cell types/states and alternative differentiation paths.
- Leila R. Martins
- , Lina Sieverling
- & Claudia Scholl
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| Open AccessInterrogations of single-cell RNA splicing landscapes with SCASL define new cell identities with physiological relevance
RNA splicing serves as a critical layer of gene expression regulation. Here, authors introduce SCASL for investigating the heterogeneity of RNA splicing landscapes at single-cell resolution, offering a novel scheme for classifying cell identities with physiological relevance.
- Xianke Xiang
- , Yao He
- & Xuerui Yang
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Article
| Open AccessEvidence for immune activation in pathogenesis of the HLA class II associated disease, podoconiosis
Podoconiosis is triggered by long term barefoot exposure to volcanic red clay soil. Here, Negash et al characterise the immune profile of podoconiosis patients to show this disease is associated with high levels of immune activation and inflammation.
- Mikias Negash
- , Menberework Chanyalew
- & Melanie J. Newport
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Article
| Open AccessStatistical method scDEED for detecting dubious 2D single-cell embeddings and optimizing t-SNE and UMAP hyperparameters
2D visualisation of single-cell data is highly impacted by the hyperparameter setting of the 2D embedding method, such as t-SNE and UMAP. Here, authors develop a statistical method scDEED to detect dubious cell embeddings and optimise the hyperparameter setting for trustworthy visualisation.
- Lucy Xia
- , Christy Lee
- & Jingyi Jessica Li
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Article
| Open AccessHigh resolution spatial profiling of kidney injury and repair using RNA hybridization-based in situ sequencing
Advancements in spatial transcriptomics technologies have enabled the analysis of gene expression at cellular resolution in situ. The authors applied direct RNA hybridization-based in situ sequencing (dRNA HybISS) and developed a computational tool, CellScopes, to study gene expression in mouse kidneys, identifying cellular changes and interactions during injury and repair.
- Haojia Wu
- , Eryn E. Dixon
- & Benjamin D. Humphreys
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Article
| Open AccessTracing back primed resistance in cancer via sister cells
Transcriptional cell states can drive treatment resistance in cancer. Here, the authors develop ReSisTrace to predict cell states that are primed to resist ovarian cancer treatment and validate their findings using small molecule inhibitors.
- Jun Dai
- , Shuyu Zheng
- & Anna Vähärautio
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Article
| Open AccessThe impacts of active and self-supervised learning on efficient annotation of single-cell expression data
Cell type annotation for single-cell data is challenging. Here, authors explore active and self-supervised learning and introduce adaptive reweighting as a tailored heuristic, demonstrating competitive performance and showing that incorporating prior knowledge enhances cell type annotation accuracy.
- Michael J. Geuenich
- , Dae-won Gong
- & Kieran R. Campbell
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Article
| Open AccessSemi-supervised integration of single-cell transcriptomics data
Batch effects hinder multi-sample single-cell data analyses. Here, authors present STACAS, a scalable single-cell RNA-seq data integration tool that uses prior cell type knowledge to preserve biological variability, demonstrating robustness to noisy input cell type labels.
- Massimo Andreatta
- , Léonard Hérault
- & Santiago J. Carmona
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| Open AccessTrajectory inference across multiple conditions with condiments
scRNA-Seq has enabled the study of dynamic systems such as response to a drug at the individual cell and gene levels. Here the authors introduce a framework to interpret differences at the trajectory, cell populations, and individual gene levels.
- Hector Roux de Bézieux
- , Koen Van den Berge
- & Sandrine Dudoit
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Article
| Open AccessUsing deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data
Neuronal activity is associated with transcriptional changes. Here, the authors present a deep learning model that integrates single cell transcriptomic signals to estimate neuronal activation.
- Ethan Bahl
- , Snehajyoti Chatterjee
- & Jacob J. Michaelson
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| Open AccessSiFT: uncovering hidden biological processes by probabilistic filtering of single-cell data
Cells simultaneously encode multiple signals, some harder to recover. Here, authors introduce SiFT (Signal FilTering), a kernel-based projection method, revealing underlying biological processes in single-cell data.
- Zoe Piran
- & Mor Nitzan
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Article
| Open AccessA full-body transcription factor expression atlas with completely resolved cell identities in C. elegans
Invariant cell lineage in C. elegans enables the analysis of transcriptional regulatory mechanisms controlling the fate of each cell at spatiotemporal resolution. Here, the authors develop a tool automating C. elegans cell identification and create an expression atlas of 620 transcription factors.
- Yongbin Li
- , Siyu Chen
- & Xiao Liu
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Article
| Open AccessSilica-associated proteins from hexactinellid sponges support an alternative evolutionary scenario for biomineralization in Porifera
Sponges, being early-diverging metazoans and the only animals to develop extensive skeletons of silica, have potential to inform about the evolutionary steps of metazoan traits, including biomineralization. Here, the authors characterize two proteins associated with the hexactinellid sponge silica.
- Katsuhiko Shimizu
- , Michika Nishi
- & Manuel Maldonado
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| Open AccessThe single-cell transcriptomic atlas and RORA-mediated 3D epigenomic remodeling in driving corneal epithelial differentiation
Ocular homeostasis and vision depend on the differentiation of limbal stem/progenitor cells into corneal epithelial cells. Here, the authors report transcriptional dynamics and RORA-mediated epigenetic remodeling underlying the differentiation of human corneal epithelium.
- Mingsen Li
- , Huizhen Guo
- & Hong Ouyang
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Article
| Open AccessSystems-based identification of the Hippo pathway for promoting fibrotic mesenchymal differentiation in systemic sclerosis
Systemic sclerosis (SSc) is an autoimmune disease causing skin fibrosis and organ inflammation. Here the authors generate and analyze SSc skin single cell RNA sequencing data to propose contributions from both myofibroblasts and endothelial-to-mesenchymal -transitioning cells (EndoMT) to skin fibrosis, and to implicate the involvement of Hippo signaling pathways.
- Feiyang Ma
- , Pei-Suen Tsou
- & Johann E. Gudjonsson
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Article
| Open AccessUnraveling the causal genes and transcriptomic determinants of human telomere length
Variation in human telomere length has been well studied, but most previous studies have used adult telomere length. Here, the authors explore the genetic basis of telomere length in the placenta and find suggestive causal genes modulating human telomere length.
- Ying Chang
- , Yao Zhou
- & Dandan Huang
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Article
| Open AccessJOINTLY: interpretable joint clustering of single-cell transcriptomes
Batch integration is a critical yet challenging step in many single-cell RNA-seq analysis workflows. Here, authors present JOINTLY, a hybrid linear and non-linear NMF-based algorithm, providing interpretable and robust cell clustering against over-integration.
- Andreas Fønss Møller
- & Jesper Grud Skat Madsen
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Article
| Open AccessHigh resolution mapping of the tumor microenvironment using integrated single-cell, spatial and in situ analysis
The integration of single-cell and spatial data can provide a more comprehensive picture of the network of cells within the tumour microenvironment. Here the authors use a combination of single-cell and spatial technologies including 10x Xenium to characterise serial formalin-fixed, paraffin-embedded human breast cancer sections.
- Amanda Janesick
- , Robert Shelansky
- & Sarah E. B. Taylor
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Article
| Open AccessWhole-genome sequencing reveals the molecular implications of the stepwise progression of lung adenocarcinoma
Current sequencing technologies can shed light on the stepwise progression of lung adenocarcinoma. Here, the authors characterize tumor progression in lung adenocarcinomas from an early stage using short and long read whole-genome sequencing, bulk and spatial transcriptomics, and epigenomics.
- Yasuhiko Haga
- , Yoshitaka Sakamoto
- & Ayako Suzuki
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Article
| Open AccessDissecting the basis for differential substrate specificity of ADAR1 and ADAR2
Human ADAR1 and ADAR2 edit millions of adenosines transcriptome-wide, altering RNA structure. Here the authors show that variations in RNA binding domains influence site-specific editing, enhancing ADAR2-targeted therapeutics.
- Marlon S. Zambrano-Mila
- , Monika Witzenberger
- & Schraga Schwartz
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Article
| Open AccessSingle cell multi-omics reveal intra-cell-line heterogeneity across human cancer cell lines
Intra-cell line heterogeneity remains to be characterized. Here, the use of single multi-omics on a large panel of human cell lines identifies copy number variation, epigenetic variation and extrachromosomal DNA distribution as the main contributors to intra-cell line heterogeneity.
- Qionghua Zhu
- , Xin Zhao
- & Liang Wu
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Article
| Open AccessFragment-sequencing unveils local tissue microenvironments at single-cell resolution
Experimentally preserving tissue microenvironments remains challenging for single-cell sequencing methods. Here, the authors introduce fragment-sequencing, a method that can preserve three-dimensional microenvironments in single-cell RNA-seq, thus allowing the reconstruction of spatial tissue niches.
- Kristina Handler
- , Karsten Bach
- & Andreas E. Moor
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Article
| Open AccessDetection of isoforms and genomic alterations by high-throughput full-length single-cell RNA sequencing in ovarian cancer
Long-read single-cell RNA sequencing is capable of detecting isoform-level gene expression and genomic alterations such as mutations and gene fusions, thereby providing cell-specific genotype-phenotype information. Here, the authors use long-read scRNA-seq on metastatic ovarian cancer samples and detect cell-type specific isoforms and gene fusions that may otherwise be misclassified in short-read data.
- Arthur Dondi
- , Ulrike Lischetti
- & Niko Beerenwinkel
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Article
| Open AccessVector-borne Trypanosoma brucei parasites develop in artificial human skin and persist as skin tissue forms
Here, authors show that tsetse-fly transmitted trypanosomes rapidly differentiate within human skin equivalents, eventually entering a reversible quiescent stage and conclude that these skin tissue forms may contribute to long-term parasite infections in asymptomatic individuals.
- Christian Reuter
- , Laura Hauf
- & Markus Engstler
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Article
| Open AccessDistinct transcriptomic profiles in children prior to the appearance of type 1 diabetes-linked islet autoantibodies and following enterovirus infection
Although type-1 diabetes has a clear genetic component, not all children who are at risk eventually develop autoimmunity, suggesting the existence of environmental triggers. In this longitudinal transcriptomic study, the authors find that children who later develop autoimmunity have a distinct profile before the appearance of autoantibodies and may have impaired responses to enterovirus infection.
- Jake Lin
- , Elaheh Moradi
- & Matti Nykter
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Article
| Open AccessExperimental mining plumes and ocean warming trigger stress in a deep pelagic jellyfish
The deep ocean is increasingly subjected to human-induced environmental change, but little is known about species-specific responses to stressors, including those from deep sea mining. This study shows that elevated temperatures and simulated sediment plumes cause physiological stress in a cosmopolitan deep-sea jellyfish, confirming the detrimental impact of seabed mining.
- Vanessa I. Stenvers
- , Helena Hauss
- & Henk-Jan T. Hoving