Publikationer av Joakim Lundeberg
Refereegranskade
Artiklar
[1]
J. De Jonghe et al., "A community effort to track commercial single-cell and spatial 'omic technologies and business trends," Nature Biotechnology, vol. 42, no. 7, s. 1017-1023, 2024.
[2]
J. E. Mold et al., "Clonally heritable gene expression imparts a layer of diversity within cell types," Cell systems, vol. 15, no. 2, s. 149, 2024.
[3]
F. Hildebrandt et al., "Host-pathogen interactions in the Plasmodium-infected mouse liver at spatial and single-cell resolution," Nature Communications, vol. 15, no. 1, 2024.
[4]
M. Vicari et al., "Spatial multimodal analysis of transcriptomes and metabolomes in tissues," Nature Biotechnology, vol. 42, no. 7, s. 1046-1050, 2024.
[5]
T. Wang et al., "snPATHO-seq, a versatile FFPE single-nucleus RNA sequencing method to unlock pathology archives," Communications Biology, vol. 7, no. 1, 2024.
[6]
A. Sountoulidis et al., "A topographic atlas defines developmental origins of cell heterogeneity in the human embryonic lung," Nature Cell Biology, 2023.
[7]
L. Sikkema et al., "An integrated cell atlas of the lung in health and disease," Nature Medicine, vol. 29, no. 6, s. 1563-1577, 2023.
[8]
E. Braun et al., "Comprehensive cell atlas of the first-trimester developing human brain," Science, vol. 382, no. 6667, s. 172-+, 2023.
[9]
Y. Fan et al., "Expansion spatial transcriptomics," Nature Methods, vol. 20, no. 8, s. 1179-1182, 2023.
[10]
X. Li et al., "Profiling spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin," Nature Neuroscience, vol. 26, no. 5, s. 891-901, 2023.
[11]
L. Larsson et al., "Semla : a versatile toolkit for spatially resolved transcriptomics analysis and visualization," Bioinformatics, vol. 39, no. 10, 2023.
[12]
K. Thrane et al., "Single-Cell and Spatial Transcriptomic Analysis of Human Skin Delineates Intercellular Communication and Pathogenic Cells," Journal of Investigative Dermatology, vol. 143, no. 11, s. 13-2177, 2023.
[13]
C. Engblom et al., "Spatial transcriptomics of B cell and T cell receptors reveals lymphocyte clonal dynamics," Science, vol. 382, no. 6675, s. 8486, 2023.
[14]
R. Mirzazadeh et al., "Spatially resolved transcriptomic profiling of degraded and challenging fresh frozen samples," Nature Communications, vol. 14, no. 1, 2023.
[15]
K. Lebrigand et al., "The spatial landscape of gene expression isoforms in tissue sections," Nucleic Acids Research, vol. 51, no. 8, 2023.
[16]
A. Frede et al., "B cell expansion hinders the stroma-epithelium regenerative cross talk during mucosal healing," Immunity, vol. 55, no. 12, s. 2336-+, 2022.
[17]
M. Ratz et al., "Clonal relations in the mouse brain revealed by single-cell and spatial transcriptomics," Nature Neuroscience, vol. 25, no. 3, s. 285-294, 2022.
[18]
M. Kaufmann et al., "Identification of early neurodegenerative pathways in progressive multiple sclerosis," Nature Neuroscience, vol. 25, no. 7, s. 944-955, 2022.
[19]
M. Yang et al., "Novel loss-of-function variant in DENND5A impedes melanosomal cargo transport and predisposes to familial cutaneous melanoma," Genetics in Medicine, vol. 24, no. 1, s. 157-169, 2022.
[20]
A. Erickson et al., "Spatially resolved clonal copy number alterations in benign and malignant tissue," Nature, vol. 608, no. 7922, s. 360-+, 2022.
[21]
M. Marklund et al., "Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones," Nature Communications, vol. 13, no. 1, 2022.
[22]
L. Bergenstråhle et al., "Super-resolved spatial transcriptomics by deep data fusion," Nature Biotechnology, vol. 40, no. 4, s. 476-479, 2022.
[23]
M. D. Luecken et al., "The discovAIR project : a roadmap towards the Human Lung Cell Atlas," European Respiratory Journal, vol. 60, no. 2, s. 2102057, 2022.
[24]
S. M. Parigi et al., "The spatial transcriptomic landscape of the healing mouse intestine following damage," Nature Communications, vol. 13, no. 1, 2022.
[25]
M. Haniffa, J. Lundeberg och S. Webb, "A roadmap for the Human Developmental Cell Atlas," Nature, vol. 597, no. 7875, s. 196-205, 2021.
[26]
S. Z. Wu et al., "A single-cell and spatially resolved atlas of human breast cancers," Nature Genetics, vol. 53, no. 9, s. 1334-+, 2021.
[27]
L. T. Bui et al., "Chronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severity," Nature Communications, vol. 12, no. 1, 2021.
[28]
E. G. Villacampa et al., "Genome-wide spatial expression profiling in formalin-fixed tissues," Cell Genomics, vol. 1, no. 3, 2021.
[29]
E. Chelebian et al., "Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer," Cancers, vol. 13, no. 19, 2021.
[30]
F. Hildebrandt et al., "Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the mouse liver," Nature Communications, vol. 12, no. 1, 2021.
[31]
A. Andersson et al., "Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions," Nature Communications, vol. 12, no. 1, 2021.
[32]
B. Lötstedt et al., "The impact of gastrointestinal dysmotility on the aerodigestive microbiome of pediatric lung transplant recipients," The Journal of Heart and Lung Transplantation, vol. 40, no. 3, s. 210-219, 2021.
[33]
L. Kvastad et al., "The spatial RNA integrity number assay for in situ evaluation of transcriptome quality," Communications Biology, vol. 4, no. 1, 2021.
[34]
A. Andersson och J. Lundeberg, "sepal : identifying transcript profiles with spatial patterns by diffusion-based modeling," Bioinformatics, vol. 37, no. 17, s. 2644-2650, 2021.
[35]
E. Berglund et al., "Automation of Spatial Transcriptomics library preparation to enable rapid and robust insights into spatial organization of tissues," BMC Genomics, vol. 21, no. 1, 2020.
[36]
R. E. Vickman et al., "Deconstructing tumor heterogeneity : The stromal perspective," Oncotarget, vol. 11, no. 40, s. 3621-3632, 2020.
[37]
N. Björn et al., "Genes and variants in hematopoiesis-related pathways are associated with gemcitabine/carboplatin-induced thrombocytopenia," The Pharmacogenomics Journal, vol. 20, no. 2, s. 179-191, 2020.
[38]
A. Svedberg et al., "Genetic association of gemcitabine/carboplatin-induced leukopenia and neutropenia in non-small cell lung cancer patients using whole-exome sequencing," Lung Cancer, vol. 147, s. 106-114, 2020.
[39]
B. He et al., "Integrating spatial gene expression and breast tumour morphology via deep learning," Nature Biomedical Engineering, vol. 4, no. 8, s. 827-834, 2020.
[40]
C. Ortiz et al., "Molecular atlas of the adult mouse brain," Science Advances, vol. 6, no. 26, 2020.
[41]
A. L. Ji et al., "Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma," Cell, vol. 182, no. 2, s. 497-+, 2020.
[42]
W. Sungnak et al., "SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes," Nature Medicine, vol. 26, no. 5, s. 681-687, 2020.
[43]
J. Bergenstråhle, L. Larsson och J. Lundeberg, "Seamless integration of image and molecular analysis for spatial transcriptomics workflows," BMC Genomics, vol. 21, no. 1, 2020.
[44]
S. A. Pålsson et al., "Single-Stranded Oligonucleotide-Mediated Inhibition of Respiratory Syncytial Virus Infection," Frontiers in Immunology, vol. 11, 2020.
[45]
A. Andersson et al., "Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography," Communications Biology, vol. 3, no. 1, 2020.
[46]
J. Fernandez Navarro et al., "Spatial Transcriptomics Reveals Genes Associated with Dysregulated Mitochondrial Functions and Stress Signaling in Alzheimer Disease," iScience, vol. 23, no. 10, 2020.
[47]
W.-T. Chen et al., "Spatial Transcriptomics and In Situ Sequencing to Study Alzheimer's Disease," Cell, vol. 182, no. 4, s. 976-+, 2020.
[48]
J. Bergenstråhle, L. Bergenstråhle och J. Lundeberg, "SpatialCPie : An R/Bioconductor package for spatial transcriptomics cluster evaluation," BMC Bioinformatics, vol. 21, no. 1, 2020.
[49]
M. Asp, J. Bergenstråhle och J. Lundeberg, "Spatially Resolved Transcriptomes : Next Generation Toolsfor Tissue Exploration," Bioessays, vol. 42, no. 10, s. 1900221, 2020.
[50]
M. Saiselet et al., "Transcriptional output, cell-type densities, and normalization in spatial transcriptomics," Journal of Molecular Cell Biology, vol. 12, no. 11, s. 906-908, 2020.
[51]
N. Bjorn et al., "Whole-genome sequencing and gene network modules predict gemcitabine/carboplatin-induced myelosuppression in non-small cell lung cancer patients," npj Systems Biology and Applications, vol. 6, no. 1, 2020.
[52]
C. Poux et al., "A Single-Stranded Oligonucleotide Inhibits Toll-Like Receptor 3 Activation and Reduces Influenza A (H1N1) Infection," Frontiers in Immunology, vol. 10, 2019.
[53]
M. Asp et al., "A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart," Cell, vol. 179, no. 7, s. 1647-+, 2019.
[54]
P. T. Newton et al., "A radical switch in clonality reveals a stem cell niche in the epiphyseal growth plate," Nature, vol. 567, no. 7747, s. 234-+, 2019.
[55]
S. Vickovic et al., "High-definition spatial transcriptomics for in situ tissue profiling," Nature Methods, vol. 16, no. 10, s. 987-+, 2019.
[56]
J. Fernandez Navarro, J. Lundeberg och P. L. Ståhl, "ST viewer : a tool for analysis and visualization of spatial transcriptomics datasets," Bioinformatics, vol. 35, no. 6, s. 1058-1060, 2019.
[57]
S. Maniatis et al., "Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis," Science, vol. 364, no. 6435, s. 89-+, 2019.
[58]
S. Das et al., "Transcriptomics of cardiac biopsies reveals differences in patients with or without diagnostic parameters for heart failure with preserved ejection fraction," Scientific Reports, vol. 9, 2019.
[59]
F. Salmén et al., "Barcoded solid-phase RNA capture for Spatial Transcriptomics profiling in mammalian tissue sections," Nature Protocols, vol. 13, no. 11, s. 2501-2534, 2018.
[60]
N. Björn et al., "Comparison of Variant Calls from Whole Genome and Whole Exome Sequencing Data Using Matched Samples," Journal of Next Generation Sequencing & Applications, vol. 5, no. 1, s. 1-8, 2018.
[61]
A. Lundmark et al., "Gene expression profiling of periodontitis-affected gingival tissue by spatial transcriptomics," Scientific Reports, vol. 8, no. 1, 2018.
[62]
S. Giacomello och J. Lundeberg, "Preparation of plant tissue to enable Spatial Transcriptomics profiling using barcoded microarrays," Nature Protocols, vol. 13, no. 11, s. 2425-2446, 2018.
[63]
K. Wong et al., "ST Spot Detector : a web-based application for automatic spot and tissue detection for spatial Transcriptomics image datasets," Bioinformatics, vol. 34, no. 11, s. 1966-1968, 2018.
[64]
P. Järver et al., "Single-Stranded Nucleic Acids Regulate TLR3/4/7 Activation through Interference with Clathrin-Mediated Endocytosis," Scientific Reports, vol. 8, no. 1, 2018.
[65]
E. Berglund et al., "Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity," Nature Communications, vol. 9, no. 1, 2018.
[66]
K. Thrane et al., "Spatially Resolved Transcriptomics Enables Dissection of Genetic Heterogeneity in Stage III Cutaneous Malignant Melanoma," Cancer Research, vol. 78, no. 20, s. 5970-5979, 2018.
[67]
Y. O. O. Hu et al., "Stationary and portable sequencing-based approaches for tracing wastewater contamination in urban stormwater systems," Scientific Reports, vol. 8, 2018.
[68]
E. Borgström et al., "Comparison of whole genome amplification techniques for human single cell exome sequencing," PLOS ONE, vol. 12, no. 2, 2017.
[69]
B. Sigurgeirsson et al., "Comprehensive RNA sequencing of healthy human endometrium at two time points of the menstrual cycle," Biology of Reproduction, vol. 96, no. 1, s. 24-33, 2017.
[70]
J. Ll. Acero Sanchez et al., "Electrochemical Genetic Profiling of Single Cancer Cells," Analytical Chemistry, vol. 89, no. 6, s. 3378-3385, 2017.
[71]
Y. Zhu et al., "Proteogenomics produces comprehensive and highly accurate protein-coding gene annotation in a complete genome assembly of Malassezia sympodialis," Nucleic Acids Research, vol. 45, no. 5, s. 2629-2643, 2017.
[72]
M. Doucet et al., "Quality Matters : 2016 Annual Conference of the National Infrastructures for Biobanking," Biopreservation and Biobanking, vol. 15, no. 3, s. 270-276, 2017.
[73]
J. F. Navarro et al., "ST Pipeline : an automated pipeline for spatial mapping of unique transcripts," Bioinformatics, vol. 33, no. 16, s. 2591-2593, 2017.
[74]
M. Asp et al., "Spatial detection of fetal marker genes expressed at low level in adult human heart tissue," Scientific Reports, vol. 7, 2017.
[75]
S. Giacomello et al., "Spatially resolved transcriptome profiling in model plant species," Nature Plants, vol. 3, 2017.
[76]
A. Ameur et al., "SweGen : a whole-genome data resource of genetic variability in a cross-section of the Swedish population," European Journal of Human Genetics, vol. 25, no. 11, s. 1253-1260, 2017.
[77]
K. Carlberg et al., "TRANSCRIPTOME VISUALISATION OF THE INFLAMED RHEUMATOID ARTHRITIS JOINT," Annals of the Rheumatic Diseases, vol. 76, s. A58-A59, 2017.
[78]
A. Jemt et al., "An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries.," Scientific Reports, vol. 6, 2016.
[79]
C. Bersani et al., "Genome-wide identification of Wig-1 mRNA targets by RIP-Seq analysis," Oncotarget, vol. 7, no. 2, s. 1895-1911, 2016.
[80]
S. Vickovic et al., "Massive and parallel expression profiling using microarrayed single-cell sequencing," Nature Communications, vol. 7, 2016.
[81]
J. L. A. Sánchez et al., "Multiplex PCB-based electrochemical detection of cancer biomarkers using MLPA-barcode approach," Biosensors & bioelectronics, vol. 82, s. 224-232, 2016.
[82]
C. Linde et al., "Rationale and design of the PREFERS (Preserved and Reduced Ejection Fraction Epidemiological Regional Study) Stockholm heart failure study : an epidemiological regional study in Stockholm county of 2.1 million inhabitants," European Journal of Heart Failure, vol. 18, no. 10, s. 1287-1297, 2016.
[83]
H. Green et al., "Using Whole-Exome Sequencing to Identify Genetic Markers for Carboplatin and Gemcitabine-Induced Toxicities," Clinical Cancer Research, vol. 22, no. 2, s. 366-373, 2016.
[84]
P. Ståhl et al., "Visualization and analysis of gene expression in tissue sections by spatial transcriptomics," Science, vol. 353, no. 6294, s. 78-82, 2016.
[85]
A. Svedberg et al., "A validated liquid chromatography tandem mass spectrometry method for quantification of erlotinib, OSI-420 and didesmethyl erlotinib and semi-quantification of erlotinib metabolites in human plasma," Journal of Pharmaceutical and Biomedical Analysis, vol. 107, s. 186-195, 2015.
[86]
S. Lundin et al., "Endonuclease specificity and sequence dependence of Type IIS restriction enzymes," PLOS ONE, vol. 10, no. 1, 2015.
[87]
P. Sahlén et al., "Genome-wide mapping of promoter-anchored interactions with close to single-enhancer resolution," Genome Biology, vol. 16, 2015.
[88]
T. Stödberg et al., "Mutations in SLC12A5 in epilepsy of infancy with migrating focal seizures," Nature Communications, vol. 6, 2015.
[89]
M. Zhang et al., "Nanopore arrays in a silicon membrane for parallel single-molecule detection : DNA translocation," Nanotechnology, vol. 26, no. 31, 2015.
[90]
N. Delhomme et al., "Serendipitous Meta-Transcriptomics : The Fungal Community of Norway Spruce (Picea abies)," PLOS ONE, vol. 10, no. 9, 2015.
[91]
L. Kvastad et al., "Single cell analysis of cancer cells using an improved RT-MLPA method has potential for cancer diagnosis and monitoring," Scientific Reports, vol. 5, 2015.
[92]
S. Vickovic et al., "Toward Rare Blood Cell Preservation for RNA Sequencing," Journal of Molecular Diagnostics, vol. 17, no. 4, s. 352-359, 2015.
[93]
A. Lundmark et al., "Transcriptome analysis reveals mucin 4 to be highly associated with periodontitis and identifies pleckstrin as a link to systemic diseases," Scientific Reports, vol. 5, 2015.
[94]
B. Sigurgeirsson, O. Emanuelsson och J. Lundeberg, "Analysis of stranded information using an automated procedure for strand specific RNA sequencing," BMC Genomics, vol. 15, no. 1, 2014.
[95]
J. Hasmats et al., "Assessment of Whole Genome Amplification for Sequence Capture and Massively Parallel Sequencing," PLOS ONE, vol. 9, no. 1, s. e84785, 2014.
[96]
K. Sahlin et al., "BESST - Efficient scaffolding of large fragmented assemblies," BMC Bioinformatics, vol. 15, no. 1, s. 281, 2014.
[97]
A. Alexeyenko et al., "Efficient de novo assembly of large and complex genomes by massively parallel sequencing of Fosmid pools," BMC Genomics, vol. 15, no. 1, s. 439, 2014.
[98]
P. Salvo et al., "Fabrication and functionalization of PCB gold electrodes suitable for DNA-based electrochemical sensing," Bio-medical materials and engineering, vol. 24, no. 4, s. 1705-1714, 2014.
[99]
H. Angleby et al., "Forensic Informativity of similar to 3000bp of Coding Sequence of Domestic Dog mtDNA," Journal of Forensic Sciences, vol. 59, no. 4, s. 898-908, 2014.
[100]
Y. Song et al., "Nuclease-Assisted Suppression of Human DNA Background in Sepsis," PLOS ONE, vol. 9, no. 7, s. e103610, 2014.
[101]
B. Sigurgeirsson, O. Emanuelsson och J. Lundeberg, "Sequencing Degraded RNA Addressed by 3' Tag Counting," PLOS ONE, vol. 9, no. 3, s. e91851, 2014.
[102]
A. Kutsenko et al., "The Chironomus tentans genome sequence and the organization of the Balbiani ring genes," BMC Genomics, vol. 15, s. 819, 2014.
[103]
H. B. Huttner et al., "The age and genomic integrity of neurons after cortical stroke in humans," Nature Neuroscience, vol. 17, no. 6, s. 801-803, 2014.
[104]
M. E. Lindholm et al., "The human skeletal muscle transcriptome : sex differences, alternative splicing, and tissue homogeneity assessed with RNA sequencing," The FASEB Journal, vol. 28, no. 10, s. 4571-4581, 2014.
[105]
Y. Song et al., "Visual detection of DNA on paper chips," Analytical Chemistry, vol. 86, no. 3, s. 1575-1582, 2014.
[106]
A. Gioti et al., "Genomic Insights into the Atopic Eczema-Associated Skin Commensal Yeast Malassezia sympodialis," mBio, vol. 4, no. 1, s. e00572-12, 2013.
[107]
V. Höiom et al., "Hereditary uveal melanoma : A report of a germline mutation in BAP1," Genes, Chromosomes and Cancer, vol. 52, no. 4, s. 378-384, 2013.
[108]
S. Lundin et al., "Hierarchical molecular tagging to resolve long continuous sequences by massively parallel sequencing," Scientific Reports, vol. 3, s. 1186, 2013.
[109]
J. Falkenius et al., "High expression of glycolytic and pigment proteins is associated with worse clinical outcome in stage III melanoma," Melanoma research, vol. 23, no. 6, s. 452-460, 2013.
[110]
V. Lazar et al., "Integrated molecular portrait of non-small cell lung cancers," BMC Medical Genomics, vol. 6, no. 1, s. 53, 2013.
[111]
P. I. Costea, J. Lundeberg och P. Akan, "TagGD : Fast and Accurate Software for DNA Tag Generation and Demultiplexing," PLOS ONE, vol. 8, no. 3, s. e57521, 2013.
[112]
B. Nystedt et al., "The Norway spruce genome sequence and conifer genome evolution," Nature, vol. 497, no. 7451, s. 579-584, 2013.
[113]
A. C. Araújo et al., "Activated Paper Surfaces for the Rapid Hybridization of DNA through Capillary Transport," Analytical Chemistry, vol. 84, no. 7, s. 3311-3317, 2012.
[114]
B. Werne Solnestam et al., "Comparison of total and cytoplasmic mRNA reveals global regulation by nuclear retention and miRNAs," BMC Genomics, vol. 13, no. 1, s. 574, 2012.
[115]
P. Akan et al., "Comprehensive analysis of the genome transcriptome and proteome landscapes of three tumor cell lines," Genome Medicine, vol. 4, s. 86, 2012.
[116]
H. Davanian et al., "Gene Expression Profiles in Paired Gingival Biopsies from Periodontitis-Affected and Healthy Tissues Revealed by Massively Parallel Sequencing," PLOS ONE, vol. 7, no. 9, s. e46440, 2012.
[117]
J. Hasmats et al., "Identification of candidate SNPs for drug induced toxicity from differentially expressed genes in associated tissues," Gene, vol. 506, no. 1, s. 62-68, 2012.
[118]
K. Sahlin et al., "Improved gap size estimation for scaffolding algorithms," Bioinformatics, vol. 28, no. 17, s. 2215-2222, 2012.
[119]
H. Davanian et al., "Signaling pathways involved in the regulation of TNF alpha-induced toll-like receptor 2 expression in human gingival fibroblasts," Cytokine, vol. 57, no. 3, s. 406-416, 2012.
[120]
H. Stranneheim och J. Lundeberg, "Stepping stones in DNA sequencing," Biotechnology Journal, vol. 7, no. 9, s. 1063-1073, 2012.
[121]
J. Hasmats et al., "Validation of whole genome amplification for analysis of the p53 tumor suppressor gene in limited amounts of tumor samples," Biochemical and Biophysical Research Communications - BBRC, vol. 425, no. 2, s. 379-383, 2012.
[122]
M. K. Bjursell et al., "Adenosine Kinase Deficiency Disrupts the Methionine Cycle and Causes Hypermethioninemia, Encephalopathy, and Abnormal Liver Function," American Journal of Human Genetics, vol. 89, no. 4, s. 507-515, 2011.
[123]
E. Borgström, S. Lundin och J. Lundeberg, "Large Scale Library Generation for High Throughput Sequencing Authors and Affiliations," PLOS ONE, vol. 6, no. 4, s. e19119, 2011.
[124]
J. Sandberg et al., "Rapid flow-sorting to simultaneously resolve multiplex massively parallel sequencing products," Scientific Reports, vol. 1, no. 108, 2011.
[125]
H. Stranneheim et al., "Scalable Transcriptome Preparation for Massive Parallel Sequencing," PLOS ONE, vol. 6, no. 7, s. e21910, 2011.
[126]
P. L. Ståhl et al., "Sun-Induced Nonsynonymous p53 Mutations Are Extensively Accumulated and Tolerated in Normal Appearing Human Skin," Journal of Investigative Dermatology, vol. 131, no. 2, s. 504-508, 2011.
[127]
P. L. Ståhl et al., "Translational Database Selection and Multiplexed Sequence Capture for Up Front Filtering of Reliable Breast Cancer Biomarker Candidates," PLOS ONE, vol. 6, no. 6, s. e20794, 2011.
[128]
S. Seidel et al., "A hypoxic niche regulates glioblastoma stem cells through hypoxia inducible factor 2 alpha," Brain, vol. 133, s. 983-995, 2010.
[129]
D. Klevebring et al., "Analysis of transcript and protein overlap in a human osteosarcoma cell line," BMC Genomics, vol. 11, no. 1, s. 684, 2010.
[130]
H. Stranneheim et al., "Classification of DNA sequences using Bloom filters," Bioinformatics, vol. 26, no. 13, s. 1595-1600, 2010.
[131]
S. Picelli et al., "Common variants in human CRC genes as low-risk alleles," European Journal of Cancer, vol. 46, no. 6, s. 1041-1048, 2010.
[132]
E. Lundberg et al., "Defining the transcriptome and proteome in three functionally different human cell lines," Molecular Systems Biology, vol. 6, s. 450, 2010.
[133]
C. Hedskog et al., "Dynamics of HIV-1 Quasispecies during Antiviral Treatment Dissected Using Ultra-Deep Pyrosequencing," PLOS ONE, vol. 5, no. 7, s. e11345, 2010.
[134]
J. Sandberg et al., "Gene-specific FACS sorting method for target selection in high-throughput amplicon sequencing," BMC Genomics, vol. 11, no. 140, 2010.
[135]
D. Klevebring et al., "In-Depth Transcriptome Analysis Reveals Novel TARs and Prevalent Antisense Transcription in Human Cell Lines," PLOS ONE, vol. 5, no. 3, s. e9762, 2010.
[136]
S. Lundin et al., "Increased Throughput by Parallelization of Library Preparation for Massive Sequencing," PLOS ONE, vol. 5, no. 3, s. e10029, 2010.
[137]
T. Båge et al., "Signal pathways JNK and NF-kappa B, identified by global gene expression profiling, are involved in regulation of TNF alpha-induced mPGES-1 and COX-2 expression in gingival fibroblasts," BMC Genomics, vol. 11, s. 241, 2010.
[138]
J. Lindberg et al., "The Gene Expression Profile in the Synovium as a Predictor of the Clinical Response to Infliximab Treatment in Rheumatoid Arthritis," PLOS ONE, vol. 5, no. 6, s. e11310, 2010.
[139]
J. Lindberg och J. Lundeberg, "The plasticity of the mammalian transcriptome," Genomics, vol. 95, no. 1, s. 1-6, 2010.
[140]
D. Klevebring et al., "Automation of cDNA Synthesis and Labelling Improves Reproducibility," Journal of Biomedicine and Biotechnology, vol. 2009, s. 396808, 2009.
[141]
S. Ka et al., "Extremely Different Behaviours in High and Low Body Weight Lines of Chicken are Associated with Differential Expression of Genes Involved in Neuronal Plasticity," Journal of neuroendocrinology (Print), vol. 21, no. 3, s. 208-216, 2009.
[142]
J. Sandberg et al., "Flow cytometry for enrichment and titration in massively parallel DNA sequencing," Nucleic Acids Research, vol. 37, no. 8, 2009.
[143]
E. Pettersson, J. Lundeberg och A. Ahmadian, "Generations of sequencing technologies," Genomics, vol. 93, no. 2, s. 105-111, 2009.
[144]
D. Klevebring et al., "Genome-wide profiling of Populus small RNAs," BMC Genomics, vol. 10, s. Article number 620, 2009.
[145]
S. Lindström et al., "High-Density Microwell Chip for Culture and Analysis of Stem Cells," PLos ONE, vol. 4, no. 9, s. e6997, 2009.
[146]
D. Naett et al., "Inheritance of Acquired Behaviour Adaptations and Brain Gene Expression in Chickens," , vol. 4, no. 7, 2009.
[147]
V. Hoiom et al., "MC1R variation and melanoma risk in the Swedish population in relation to clinical and pathological parameters," , vol. 22, no. 2, s. 196-204, 2009.
[148]
O. Snir et al., "Multiple antibody reactivities to citrullinated antigens in sera from patients with rheumatoid arthritis : association with HLA-DRB1 alleles," Annals of the Rheumatic Diseases, vol. 68, no. 5, s. 736-743, 2009.
[149]
C. Laurell et al., "Transcriptional profiling enables molecular classification of adrenocortical tumours," European Journal of Endocrinology, vol. 161, no. 1, s. 141-152, 2009.
[150]
E. Pettersson et al., "Visual DNA as a diagnostic tool," Electrophoresis, vol. 30, no. 21, s. 3691-3695, 2009.
[151]
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