NGI is one of the largest technical platforms at SciLifeLab. We provide access to technology for sequencing, genotyping and associated bioinformatics support to researchers based in Sweden.
NGI OpenLab: A New Hub for Collaborative Genomics!
We're thrilled to announce the official launch of NGI OpenLab, an innovative space designed to empower genomics research. The lab provides direct access to equipment for quality control (QC), library preparation and a walk-up sequencer for on-the-go sequencing needs.
NGI project coordinators Elísabet Einarsdóttir and Mattias Ormestad recently visited Linnaeus University in Kalmar to attend a joint workshop hosted by two prominent research environments: EEMiS (Linnaeus University Centre for Ecology and Evolution in Microbial Model Systems) and CENWIN (Linnaeus University Centre for the Environment).
MapToCleave: High-throughput profiling of microRNA biogenesis in living cells.
W Kang, B Fromm, AJ Houben, E Høye, D Bezdan, C Arnan, K Thrane, M Asp, R Johnson, I Biryukova, MR Friedländer
Cell Rep, 37 (7) 2211-1247 (2021)
Previous large-scale studies have uncovered many features that determine the processing of microRNA (miRNA) precursors; however, they have been conducted in vitro. Here, we introduce MapToCleave, a method to simultaneously profile processing of thousands of distinct RNA structures in living cells. We find that miRNA precursors with a stable lower basal stem are more efficiently processed and also have higher expression in vivo in tissues from 20 animal species. We systematically compare the importance of known and novel sequence and structural features and test biogenesis of miRNA precursors from 10 animal and plant species in human cells. Lastly, we provide evidence that the GHG motif better predicts processing when defined as a structure rather than sequence motif, consistent with recent cryogenic electron microscopy (cryo-EM) studies. In summary, we apply a screening assay in living cells to reveal the importance of lower basal stem stability for miRNA processing and in vivo expression.
Early Pleistocene enamel proteome from Dmanisi resolves Stephanorhinus phylogeny.
E Cappellini, F Welker, L Pandolfi, J Ramos-Madrigal, D Samodova, PL Rüther, AK Fotakis, D Lyon, JV Moreno-Mayar, M Bukhsianidze, R Rakownikow Jersie-Christensen, M Mackie, A Ginolhac, R Ferring, M Tappen, E Palkopoulou, MR Dickinson, TW Stafford, YL Chan, A Götherström, SKSS Nathan, PD Heintzman, JD Kapp, I Kirillova, Y Moodley, J Agusti, RD Kahlke, G Kiladze, B Martínez-Navarro, S Liu, M Sandoval Velasco, MS Sinding, CD Kelstrup, ME Allentoft, L Orlando, K Penkman, B Shapiro, L Rook, L Dalén, MTP Gilbert, JV Olsen, D Lordkipanidze, E Willerslev
Nature, 574 (7776) 1476-4687 (2019)
The sequencing of ancient DNA has enabled the reconstruction of speciation, migration and admixture events for extinct taxa1. However, the irreversible post-mortem degradation2 of ancient DNA has so far limited its recovery-outside permafrost areas-to specimens that are not older than approximately 0.5 million years (Myr)3. By contrast, tandem mass spectrometry has enabled the sequencing of approximately 1.5-Myr-old collagen type I4, and suggested the presence of protein residues in fossils of the Cretaceous period5-although with limited phylogenetic use6. In the absence of molecular evidence, the speciation of several extinct species of the Early and Middle Pleistocene epoch remains contentious. Here we address the phylogenetic relationships of the Eurasian Rhinocerotidae of the Pleistocene epoch7-9, using the proteome of dental enamel from a Stephanorhinus tooth that is approximately 1.77-Myr old, recovered from the archaeological site of Dmanisi (South Caucasus, Georgia)10. Molecular phylogenetic analyses place this Stephanorhinus as a sister group to the clade formed by the woolly rhinoceros (Coelodonta antiquitatis) and Merck's rhinoceros (Stephanorhinus kirchbergensis). We show that Coelodonta evolved from an early Stephanorhinus lineage, and that this latter genus includes at least two distinct evolutionary lines. The genus Stephanorhinus is therefore currently paraphyletic, and its systematic revision is needed. We demonstrate that sequencing the proteome of Early Pleistocene dental enamel overcomes the limitations of phylogenetic inference based on ancient collagen or DNA. Our approach also provides additional information about the sex and taxonomic assignment of other specimens from Dmanisi. Our findings reveal that proteomic investigation of ancient dental enamel-which is the hardest tissue in vertebrates11, and is highly abundant in the fossil record-can push the reconstruction of molecular evolution further back into the Early Pleistocene epoch, beyond the currently known limits of ancient DNA preservation.
Anoctamin-2-specific T cells link Epstein-Barr virus to multiple sclerosis.
OG Thomas, U Rykaczewska, M Galešić, RTM van der Burgt, N Hallén, F Ferro, M Bronge, Z Marti, Y Li, AH Riqué, J Lin, A Krstic, A Gromadzka, AL Szonder, C Sorini, M Reina-Campos, T Sun, LA Rubio Rodríguez-Kirby, Ö Dumral, R Berglund, MP Kakhki, MZ Adzemovic, M Zeitelhofer, B Akpinar, K Tengvall, OB Nilsson, E Holmgren, CS Cucuzza, KA Högelin, G Gafvelin, K Fink, G Castelo-Branco, M Needhamsen, M Khademi, F Piehl, T Gräslund, L Alfredsson, H Lund, P Uhlén, I Kockum, R Martin, M Jagodic, H Grönlund, AO Guerreiro-Cacais, T Olsson
Cell, 189 (2) 1097-4172 (2026)
Epstein-Barr virus (EBV) infection constitutes a prerequisite for multiple sclerosis (MS) development, and cross-reactivity between EBV nuclear antigen 1 (EBNA1) and anoctamin-2 (ANO2) antibodies was previously demonstrated in persons with MS (pwMS). Here, we show that ANO2-specific CD4+ T cells are more frequent in pwMS. Immunization of SJL/J mice with ANO2 or EBNA1 led to cross-reactive CD4+ T cell and antibody responses. ANO2 pre-immunization led to exacerbated experimental autoimmune encephalomyelitis (EAE), an effect mediated by CD4+ T cells, as confirmed by adoptive transfer experiments. T cell clones with cross-reactivity to EBNA1 and ANO2 could be isolated from natalizumab-treated pwMS, and sequencing of EBNA1- and ANO2-specific T cell receptors (TCRs) revealed a significant repertoire overlap. We thus report the first mechanistic evidence that EBNA1 CD4+ T cells can target the MS autoantigen ANO2, thereby establishing a link between EBV infection and neuroinflammation.
The oral microbiota of wild bears in Sweden reflects the history of antibiotic use by humans.
JC Brealey, HG Leitão, T Hofstede, DC Kalthoff, K Guschanski
Curr. Biol., 31 (20) 1879-0445 (2021)
Following the advent of industrial-scale antibiotic production in the 1940s,1 antimicrobial resistance (AMR) has been on the rise and now poses a major global health threat in terms of mortality, morbidity, and economic burden.2,3 Because AMR can be exchanged between humans, livestock, and wildlife, wild animals can be used as indicators of human-associated AMR contamination of the environment.4 However, AMR is a normal function of natural environments and is present in host-associated microbiomes, which makes it challenging to distinguish between anthropogenic and natural sources.4,5 One way to overcome this difficulty is to use historical samples that span the period from before the mass production of antibiotics to today. We used shotgun metagenomic sequencing of dental calculus, the calcified form of the oral microbial biofilm, to determine the abundance and repertoire of AMR genes in the oral microbiome of Swedish brown bears collected over the last 180 years. Our temporal metagenomics approach allowed us to establish a baseline of natural AMR in the pre-antibiotics era and to quantify a significant increase in total AMR load and diversity of AMR genes that is consistent with patterns of national human antibiotic use. We also demonstrated a significant decrease in total AMR load in bears in the last two decades, which coincides with Swedish strategies to mitigate AMR. Our study suggests that public health policies can be effective in limiting human-associated AMR contamination of the environment and wildlife.
Long-Term Pollution Does Not Inhibit Denitrification and DNRA by Adapted Benthic Microbial Communities.
E Broman, M Abdelgadir, S Bonaglia, SC Forsberg, J Wikström, JS Gunnarsson, FJA Nascimento, S Sjöling
Microb. Ecol., 86 (4) 1432-184X (2023)
Denitrification in sediments is a key microbial process that removes excess fixed nitrogen, while dissimilatory nitrate reduction to ammonium (DNRA) converts nitrate to ammonium. Although microorganisms are responsible for essential nitrogen (N) cycling, it is not yet fully understood how these microbially mediated processes respond to toxic hydrophobic organic compounds (HOCs) and metals. In this study, we sampled long-term polluted sediment from the outer harbor of Oskarshamn (Baltic Sea), measured denitrification and DNRA rates, and analyzed taxonomic structure and N-cycling genes of microbial communities using metagenomics. Results showed that denitrification and DNRA rates were within the range of a national reference site and other unpolluted sites in the Baltic Sea, indicating that long-term pollution did not significantly affect these processes. Furthermore, our results indicate an adaptation to metal pollution by the N-cycling microbial community. These findings suggest that denitrification and DNRA rates are affected more by eutrophication and organic enrichment than by historic pollution of metals and organic contaminants.
Spatially resolved clonal copy number alterations in benign and malignant tissue.
A Erickson, M He, E Berglund, M Marklund, R Mirzazadeh, N Schultz, L Kvastad, A Andersson, L Bergenstråhle, J Bergenstråhle, L Larsson, L Alonso Galicia, A Shamikh, E Basmaci, T Díaz De Ståhl, T Rajakumar, D Doultsinos, K Thrane, AL Ji, PA Khavari, F Tarish, A Tanoglidi, J Maaskola, R Colling, T Mirtti, FC Hamdy, DJ Woodcock, T Helleday, IG Mills, AD Lamb, J Lundeberg
Nature, 608 (7922) 1476-4687 (2022)
Defining the transition from benign to malignant tissue is fundamental to improving early diagnosis of cancer1. Here we use a systematic approach to study spatial genome integrity in situ and describe previously unidentified clonal relationships. We used spatially resolved transcriptomics2 to infer spatial copy number variations in >120,000 regions across multiple organs, in benign and malignant tissues. We demonstrate that genome-wide copy number variation reveals distinct clonal patterns within tumours and in nearby benign tissue using an organ-wide approach focused on the prostate. Our results suggest a model for how genomic instability arises in histologically benign tissue that may represent early events in cancer evolution. We highlight the power of capturing the molecular and spatial continuums in a tissue context and challenge the rationale for treatment paradigms, including focal therapy.
PRC2-mediated repression is essential to maintain identity and function of differentiated dopaminergic and serotonergic neurons.
K Toskas, B Yaghmaeian-Salmani, O Skiteva, W Paslawski, L Gillberg, V Skara, I Antoniou, E Södersten, P Svenningsson, K Chergui, M Ringnér, T Perlmann, J Holmberg
NGI CollaborationSci Adv, 8 (34) 2375-2548 (2022)
How neurons can maintain cellular identity over an entire life span remains largely unknown. Here, we show that maintenance of identity in differentiated dopaminergic and serotonergic neurons is critically reliant on the Polycomb repressive complex 2 (PRC2). Deletion of the obligate PRC2 component, Eed, in these neurons resulted in global loss of H3K27me3, followed by a gradual activation of genes harboring both H3K27me3 and H3K9me3 modifications. Notably, H3K9me3 was lost at these PRC2 targets before gene activation. Neuronal survival was not compromised; instead, there was a reduction in subtype-specific gene expression and a progressive impairment of dopaminergic and serotonergic neuronal function, leading to behavioral deficits characteristic of Parkinson's disease and anxiety. Single-cell analysis revealed subtype-specific vulnerability to loss of PRC2 repression in dopamine neurons of the substantia nigra. Our study reveals that a PRC2-dependent nonpermissive chromatin state is essential to maintain the subtype identity and function of dopaminergic and serotonergic neurons.
Last Updated: 7th July 2026
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