| 1. |
- Billing, Nils, et al.
(författare)
-
A Baroque Period : Gebel el-Silsila at the End of the 18th Dynasty
- 2023
-
Ingår i: ICE XII : Proceedings of the Twelfth International Congress of Egyptologists, 3rd - 8th November 2019, Cairo - Proceedings of the Twelfth International Congress of Egyptologists, 3rd - 8th November 2019, Cairo. - 1110-2470. - 9782724709537 ; :71, s. 365-372
-
Bokkapitel (refereegranskat)abstract
- The archaeological site of Gebel el-Silsila, between Edfu and Kom Ombo, has preserved the largest ancient Egyptian quarry. Archaeologically known since the beginning of the 19th century and portrayed in the Description de l’Égypte, it was documented by the Egypt Exploration Society and Ricardo Caminos during the 1950s–1980s. However, Caminos’s thorough graphic work remains mainly unpublished, while the archaeological exploration of the site had been left untouched. The existing documentation is scarce and the bibliography hasremained very limited for such a large and important site. The site’s archaeological and historical value has been largely ignored or undervalued, long being considered mainly of interest for quarry scape specialists. These were the main reasons the Gebel el-Silsila Project was launched a decade ago by Lund University under the direction of Dr. Maria Nilsson and John Ward, with the helpof a growing and international team of specialists and students.
|
|
| 2. |
- Billing, Ola, 1981-, et al.
(författare)
-
A directed RNAi screen based on larval growth arrest reveals new modifiers of C. elegans insulin signaling
- 2012
-
Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 7:4, s. e34507-
-
Tidskriftsartikel (refereegranskat)abstract
- Genes regulating Caenorhabditis elegans insulin/IGF signaling (IIS) have largely been identified on the basis of their involvement in dauer development or longevity. A third IIS phenotype is the first larval stage (L1) diapause, which is also influenced by asna-1, a regulator of DAF-28/insulin secretion. We reasoned that new regulators of IIS strength might be identified in screens based on the L1 diapause and the asna-1 phenotype. Eighty-six genes were selected for analysis by virtue of their predicted interaction with ASNA-1 and screened for asna-1-like larval arrest. ykt-6, mrps-2, mrps-10 and mrpl-43 were identified as genes which, when inactivated, caused larval arrest without any associated feeding defects. Several tests indicated that IIS strength was weaker and that insulin secretion was defective in these animals. This study highlights the role of the Golgi network and the mitochondria in insulin secretion and provides a new list of genes that modulate IIS in C. elegans.
|
|
| 3. |
|
|
| 4. |
- Billing, Ola, 1981-
(författare)
-
Insulin secretion and ASNA-1-dependent function of the endoplasmic reticulum in C. elegans
- 2014
-
Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- ASNA1 is a well-conserved ATPase involved in a wide range of functions, including cisplatin resistance, growth control, insulin secretion and targeting of tail-anchored (TA) proteins to membranes. It is a positive regulator of insulin secretion both in the roundworm Caenorhabditis elegans and in humans. Insulin secretion and downstream insulin/IGF signalling (IIS) stands at the heart of many human pathologies, such as diabetes, Alzheimer’s disease and cancer. A better understanding of IIS may therefore prove vital for treatment and cure of these diseases. This thesis aims to further investigate the function of asna-1, and to identify new regulators of IIS based on the asna-1 phenotype in C. elegans.Worms lacking ASNA-1 arrest growth in the first larval stage, L1, with reduced insulin secretion. The L1 arrest represents the strongest of the IIS phenotypes in worms. Most regulators of the insulin pathway have been identified in screens for other IIS phenotypes, influencing lifespan or the dauer diapause. Therefore, new regulators could be found by screening for genes which, when inactivated, cause an asna-1-like L1 arrest. Using bioinformatic approaches, a set of 143 putative asna-1 interactors were identified, based on their predicted or confirmed interaction with asna-1 in various organisms. Depletion of the Golgi SNARE homologue YKT-6 or the mitochondrial translocase homologue TOMM-40 caused asna-1-like larval arrests. Using several criteria, including genetic suppression by daf-16/Foxo, it was established that YKT-6 and TOMM-40 are positive regulators of IIS. Both proteins were also required for normal DAF-28/insulin secretion.Further investigation of TOMM-40 identified it as a ubiquitously expressed mitochondrial translocase in C. elegans: It localized to mitochondrial membranes and was required for importing a tagged mitochondrial reporter across mitochondrial membranes. Depletion of TOMM-40 caused a collapse of the proton gradient across the inner mitochondrial membrane and triggered the mitochondrial unfolded protein response (UPR). Worms with defective mitochondria failed to grow normally in presence of food, but this growth defect was suppressed by daf-16(mgDf50). In addition, tomm-40(RNAi) led to DAF-16/FOXO activation, an effect that was suppressed by over expression of DAF-28/insulin. Taken together, these findings support a model whereby signals of food availability are conveyed through respiring mitochondria to promote DAF-28/insulin secretion, which in turn promotes growth.Biochemical studies have identified ASNA-1 as a chaperone that targets a subset of newly synthesized TA proteins to a receptor at the endoplasmic reticulum (ER) membrane. However, these findings have not been tested in vivo in a metazoan model. A reporter-based system to analyse TA protein targeting into the ER in live animals using confocal microscopy was set up. A model asna-1-dependent TA protein, Y38F2AR.9/SEC-61β, required functional ASNA-1 for correct targeting to the ER. Conversely, a model asna-1-independent TA protein, CYTB5.1/cytochrome B5, did not. This phenotype was shared with the predicted asna-1 receptor homologue, wrb-1. Consistently, WRB-1 was found to localize to the ER. However, other wrb-1 mutant phenotypes only partially overlap with those of asna-1 mutants, suggesting that ASNA-1 is either partially independent of WRB-1 for TA protein targeting or that ASNA-1 has additional functions besides its role in TA protein targeting.Confocal microscopy also indicated that the ER morphology was aberrant in asna-1 and wrb-1 mutants. ER UPR was elevated in the asna-1 mutants, as indicated by the upregulation of an hsp-4/BiP reporter. Transmission and immuno-electron microscopy of these mutants revealed a swollen ER lumen, which is another hallmark of ER stress. High levels of autophagy in asna-1 animals and the presence of ER-containing autophagosomes in both asna-1 and wrb-1 mutants indicated a stress-induced remodelling of the ER membrane in these two mutants. In addition, both mutants had normal mitochondrial morphology, but showed severe effects on Golgi compartment morphology. Hypothetically, all these phenotypes could be due to defects in the signal recognition particle (SRP) pathway. This is because Y38F2AR.9/SEC-61β is both a TA protein and a component of the SEC-61 translocon. However, both Golgi and ER morphology was normal in Y38F2AR.9/sec-61β(tm1986) mutant animals, suggesting that the organellar defects seen in asna-1 and wrb-1 were due to a TA protein-dependent mechanism rather than an SRP-dependent mechanism. In addition, asna-1 mutants displayed numerous protein aggregates, consistent with a proposed role for ASNA-1 in shielding aggregation-prone TA protein membrane anchors from the hydrophilic environment of the cytosol.In conclusion, YKT-6 and TOMM-40 are positive regulators of IIS and DAF-28/insulin secretion, implicating roles for Golgi and mitochondria in IIS. DAF-28 is a metabolically regulated insulin in C. elegans, since its secretion depends on active mitochondria. Mutants for asna-1 and its predicted receptor wrb-1 show severe defects in ER and Golgi morphology. These defects may occur because TA protein targeting in asna-1 and wrb-1 mutants is defective, which is also demonstrated here in the first analysis of this process in live animals.
|
|
| 5. |
- Billing, Ola, 1981-, et al.
(författare)
-
LRIG1 is a conserved EGFR regulator involved in melanoma development, survival and treatment resistance
- 2021
-
Ingår i: Oncogene. - : Springer Nature. - 0950-9232 .- 1476-5594. ; 40, s. 3707-3718
-
Tidskriftsartikel (refereegranskat)abstract
- Leucine-rich repeats and immunoglobulin-like domains 1 (LRIG1) is a pan-negative regulator of receptor tyrosine kinase (RTK) signaling and a tumor suppressor in several cancers, but its involvement in melanoma is largely unexplored. Here, we aim to determine the role of LRIG1 in melanoma tumorigenesis, RTK signaling, and BRAF inhibitor resistance. We find that LRIG1 is downregulated during early tumorigenesis and that LRIG1 affects activation of the epidermal growth factor receptor (EGFR) in melanoma cells. LRIG1-dependent regulation of EGFR signaling is evolutionary conserved to the roundworm C. elegans, where negative regulation of the EGFR-Ras-Raf pathway by sma-10/LRIG completely depends on presence of the receptor let-23/EGFR. In a cohort of metastatic melanoma patients, we observe an association between LRIG1 and survival in the triple wild-type subtype and in tumors with high EGFR expression. During in vitro development of BRAF inhibitor resistance, LRIG1 expression decreases; and mimics LRIG1 knockout cells for increased EGFR expression. Treating resistant cells with recombinant LRIG1 suppresses AKT activation and proliferation. Together, our results show that sma-10/LRIG is a conserved regulator of RTK signaling, add to our understanding of LRIG1 in melanoma and identifies recombinant LRIG1 as a potential therapeutic against BRAF inhibitor-resistant melanoma.
|
|
| 6. |
- Billing, Ola, 1981-, et al.
(författare)
-
Mitochondrial function is required for secretion of DAF-28/insulin in C. elegans.
- 2011
-
Ingår i: PLOS ONE. - : Public Library of Science. - 1932-6203. ; 6:1, s. e14507-
-
Tidskriftsartikel (refereegranskat)abstract
- While insulin signaling has been extensively studied in Caenorhabditis elegans in the context of ageing and stress response, less is known about the factors underlying the secretion of insulin ligands upstream of the insulin receptor. Activation of the receptor governs the decision whether to progress through the reproductive lifecycle or to arrest growth and enter hibernation. We find that animals with reduced levels of the mitochondrial outer membrane translocase homologue TOMM-40 arrest growth as larvae and have decreased insulin signaling strength. TOMM-40 acts as a mitochondrial translocase in C. elegans and in its absence animals fail to import a mitochondrial protein reporter across the mitochondrial membrane(s). Inactivation of TOMM-40 evokes the mitochondrial unfolded protein response and causes a collapse of the proton gradient across the inner mitochondrial membrane. Consequently these broadly dysfunctional mitochondria render an inability to couple food abundance to secretion of DAF-28/insulin. The secretion defect is not general in nature since two other neuropeptides, ANF::GFP and INS-22::VENUS, are secreted normally. RNAi against two other putative members of the TOMM complex give similar phenotypes, implying that DAF-28 secretion is sensitive to mitochondrial dysfunction in general. We conclude that mitochondrial function is required for C. elegans to secrete DAF-28/insulin when food is abundant. This modulation of secretion likely represents an additional level of control over DAF-28/insulin function.
|
|
| 7. |
- Borgmästars, Emmy, 1990-
(författare)
-
In search of early biomarkers in pancreatic ductal adenocarcinoma using multi-omics and bioinformatics
- 2022
-
Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Background: Pancreatic ductal adenocarcinoma (PDAC) is a very aggressive malignancy with a 5-year survival of 10 %. Surgery is the only curative treatment. Unfortunately, few patients are eligible for surgery due to late detection. Thus, we need ways to detect the disease at an earlier stage and for that good screening biomarkers could be used. Previous studies have analyzed circulating analytes in prospective studies to identify early PDAC signals. One such class is microRNAs (miRNAs). MicroRNAs are non-coding RNAs of around 22 nucleotides that act as post- transcriptional regulators by interaction with messenger RNAs (mRNAs). The function of a miRNA can be elucidated by target prediction, to identify its potential targets, followed by enrichment analysis of the predicted targets. Challenges with this approach includes a lot of false positives being generated and that miRNAs can perform their role in a tissue- or disease-specific manner. Other classes of analytes that have previously been studied in prospective PDAC cohorts are metabolites and proteins. Aims: This thesis has three aims. First, to build a miRNA functional analysis pipeline with correlation support between miRNA and its predicted target genes. Second, to identify potential circulating biomarkers for early detection of PDAC using multi-omics. Third, to identify potential prognostic metabolites in a prospective PDAC cohort.Methods: We used publicly available data from the cancer genome atlas-pancreatic adenocarcinoma (TCGA-PAAD) and pre-diagnostic plasma samples from the Northern Sweden Health and Disease Study. We built a pipeline in R including miRNA, mRNA, and protein expression data from TCGA-PAAD for in silico miRNA functional analysis. Pre- diagnostic plasma samples from future PDAC patients as well as matched healthy controls were analyzed using multi- omics. Tissue polypeptide specific antigen (TPS) was analyzed by enzyme linked immunosorbent assay in 267 future PDAC samples and 320 healthy controls. Metabolomics and clinical biomarkers (carbohydrate antigen (CA) 19-9, carcinoembryonic antigen (CEA), and CA 15-3) were profiled in 100 future PDAC samples and 100 healthy controls using liquid chromatography-mass spectrometry (MS), gas chromatography-MS, and multi-plex technology. Of these, a subset of 39 future PDAC patients and 39 healthy controls were profiled for 2083 microRNAs using targeted sequencing and 644 proteins using proximity extension assays. Circulating levels of multi-omics analytes were analyzed using conditional or unconditional logistic regression. Least absolute shrinkage and selection operator (LASSO) in combination with 500 bootstrap iterations identified the most informative variables. The prognostic value of metabolites was assessed using cox regression. Multi-omics factor analysis (MOFA) and data integration analysis for biomarker discovery using latent components (DIABLO) were used for multi-omics integration analyses.Results: An automated pipeline was built consisting of 1) miRNA target prediction, 2) correlation analyses between miRNA and its targets on mRNA and protein expression levels, and 3) functional enrichment of correlated targets to identify enriched Kyoto encyclopedia of genes and genomes (KEGG) pathways and gene ontology (GO) terms for a specific miRNA. The pipeline was run for all microRNAs (~700) detected in the TCGA-PAAD cohort. These results can be downloaded from a shiny app (https://emmbor.shinyapps.io/mirfa/). TPS was not altered in pre-diagnostic PDAC patients up to 24 years prior to diagnosis, but increased at diagnosis (OR = 1.03, 95 % CI: 1.01-1.05). Internal area under curves of 0.74, 0.80, and 0.88 were achieved for five metabolites, two proteins, and two miRNAs that were selected by LASSO and bootstrap iterations, in combination with CA 19-9. Neither MOFA nor DIABLO separated well between future PDAC cases and healthy controls. Conclusions: Our bioinformatics pipeline for in silico functional analysis of microRNAs successfully identifies enriched KEGG pathways and GO terms for miRNA isoforms. The investigated plasma samples are heterogeneous, but among the analyzed variables, we identified five metabolites, two proteins, and two microRNAs with highest potential for early PDAC detection. CA 19-9 levels increased closer to diagnosis. We identified five fatty acids that could be studied in a diagnostic PDAC cohort as prognostic biomarkers.
|
|
| 8. |
|
|
| 9. |
- Borgmästars, Emmy, et al.
(författare)
-
Metabolomics for early pancreatic cancer detection in plasma samples from a Swedish prospective population-based biobank
- 2024
-
Ingår i: Journal of Gastrointestinal Oncology. - : AME Publishing Company. - 2078-6891 .- 2219-679X. ; 15:2, s. 755-767
-
Tidskriftsartikel (refereegranskat)abstract
- Background: Pancreatic ductal adenocarcinoma (pancreatic cancer) is often detected at late stages resulting in poor overall survival. To improve survival, more patients need to be diagnosed early when curative surgery is feasible. We aimed to identify circulating metabolites that could be used as early pancreatic cancer biomarkers.Methods: We performed metabolomics by liquid and gas chromatography-mass spectrometry in plasma samples from 82 future pancreatic cancer patients and 82 matched healthy controls within the Northern Sweden Health and Disease Study (NSHDS). Logistic regression was used to assess univariate associations between metabolites and pancreatic cancer risk. Least absolute shrinkage and selection operator (LASSO) logistic regression was used to design a metabolite-based risk score. We used receiver operating characteristic (ROC) analyses to assess the discriminative performance of the metabolite-based risk score.Results: Among twelve risk-associated metabolites with a nominal P value <0.05, we defined a risk score of three metabolites [indoleacetate, 3-hydroxydecanoate (10:0-OH), and retention index (RI): 2,745.4] using LASSO. A logistic regression model containing these three metabolites, age, sex, body mass index (BMI), smoking status, sample date, fasting status, and carbohydrate antigen 19-9 (CA 19-9) yielded an internal area under curve (AUC) of 0.784 [95% confidence interval (CI): 0.714–0.854] compared to 0.681 (95% CI: 0.597–0.764) for a model without these metabolites (P value =0.007). Seventeen metabolites were significantly associated with pancreatic cancer survival [false discovery rate (FDR) <0.1].Conclusions: Indoleacetate, 3-hydroxydecanoate (10:0-OH), and RI: 2,745.4 were identified as the top candidate biomarkers for early detection. However, continued efforts are warranted to determine the usefulness of these metabolites as early pancreatic cancer biomarkers.
|
|
| 10. |
- Borgmästars, Emmy, et al.
(författare)
-
Multi-omics profiling to identify early plasma biomarkers in pre-diagnostic pancreatic ductal adenocarcinoma : a nested case-control study
- 2024
-
Ingår i: Translational Oncology. - : Elsevier. - 1944-7124 .- 1936-5233. ; 48
-
Tidskriftsartikel (refereegranskat)abstract
- Pancreatic ductal adenocarcinoma (PDAC) is an aggressive disease with poor survival. Novel biomarkers are urgently needed to improve the outcome through early detection. Here, we aimed to discover novel biomarkers for early PDAC detection using multi-omics profiling in pre-diagnostic plasma samples biobanked after routine health examinations.A nested case-control study within the Northern Sweden Health and Disease Study was designed. Pre-diagnostic plasma samples from 37 future PDAC patients collected within 2.3 years before diagnosis and 37 matched healthy controls were included. We analyzed metabolites using liquid chromatography mass spectrometry and gas chromatography mass spectrometry, microRNAs by HTG edgeseq, proteins by multiplex proximity extension assays, as well as three clinical biomarkers using milliplex technology. Supervised and unsupervised multi-omics integration were performed as well as univariate analyses for the different omics types and clinical biomarkers. Multiple hypothesis testing was corrected using Benjamini-Hochberg's method and a false discovery rate (FDR) below 0.1 was considered statistically significant.Carbohydrate antigen (CA) 19-9 was associated with PDAC risk (OR [95 % CI] = 3.09 [1.31–7.29], FDR = 0.03) and increased closer to PDAC diagnosis. Supervised multi-omics models resulted in poor discrimination between future PDAC cases and healthy controls with obtained accuracies between 0.429–0.500. No single metabolite, microRNA, or protein was differentially altered (FDR < 0.1) between future PDAC cases and healthy controls.CA 19-9 levels increase up to two years prior to PDAC diagnosis but extensive multi-omics analysis including metabolomics, microRNAomics and proteomics in this cohort did not identify novel early biomarkers for PDAC.
|
|
