Max Karlsson

Max Karlsson

Auto-generated profile, based on publicly available information

Max Karlsson

Pixelgen Technologies AB, Stockholm, Sweden

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 July 2021 in Science Advances
Verified
Journal Article
Open access
PDF file
MKMax Karlsson
Max Karlsson
CZCheng Zhang
Cheng Zhang
LMLoren Méar
Loren Méar
WZWen Zhong
Wen Zhong
ADAndreas Digre
Andreas Digre
CLCecilia Lindskog
Cecilia Lindskog
Single-cell RNA analysis has been integrated with spatial protein profiling to create a single–cell type map of human tissues.

6 March 2020 in Science
Verified
Journal Article
Closed access
PDF file
ESEvelina Sjöstedt
Evelina Sjöstedt
WZWen Zhong
Wen Zhong
LFLinn Fagerberg
Linn Fagerberg
MKMax Karlsson
Max Karlsson
NMNicholas Mitsios
Nicholas Mitsios
Jan MulderJan Mulder
Jan Mulder
Mapping the mammalian brain: The diverse physiology of the brain is reflected in its complex organization at regional, cellular, and subcellular levels. Sjöstedt et al. combined data—both newly acquired and from other large-scale brain mapping projects—from transcriptomics, single-cell genomics, in situ hybridization, and antibody-based protein profiling to map the molecular profiles in human, pig, and mouse brain. The analysis is consistent with a conserved basic brain architecture during mammalian evolution, but it does show differences in regional gene expression profiles. Science , this issue p. eaay5947

20 December 2019 in Science
Verified
Journal Article
Closed access
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MUMathias Uhlen
Mathias Uhlen
MKMax J. Karlsson
Max J. Karlsson
WZWen Zhong
Wen Zhong
ATAbdellah Tebani
Abdellah Tebani
CPChristian Pou
Christian Pou
PBPetter Brodin
Petter Brodin
A blood cell protein-expression atlas: Genome-wide analyses are increasingly providing resources for advances in basic and applied biomedical science. Uhlen et al. performed a global expression analysis of human blood cell types and integrated this data with data across all major human tissues and organs in the human protein atlas. This comprehensive compendium allows for classification of all human protein-coding genes with regard to their tissue- and cell-type distribution. Science , this issue p. eaax9198

26 November 2019 in Science Signaling
Verified
Journal Article
Closed access
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MUMathias Uhlen
Mathias Uhlen
MKMax J. Karlsson
Max J. Karlsson
AHAndreas Hober
Andreas Hober
ASAnne-Sophie Svensson
Anne-Sophie Svensson
JSJulia Scheffel
Julia Scheffel
ÅSÅsa Sivertsson
Åsa Sivertsson
A database provides information on the relative abundances and locations of human proteins that are predicted to be secreted.

5 September 2023 in Nature Communications
Verified
Journal Article
Open access
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HJHan Jin
Han Jin
CZCheng Zhang
Cheng Zhang
MZMartin Zwahlen
Martin Zwahlen
KFKalle von Feilitzen
Kalle von Feilitzen
MKMax Karlsson
Max Karlsson
AMAdil Mardinoglu
Adil Mardinoglu
Cell lines are valuable resources as model for human biology and translational medicine. It is thus important to explore the concordance between the expression in various cell lines vis-à-vis human native and disease tissues. In this study, we investigate the expression of all human protein-coding genes in more than 1,000 human cell lines representing 27 cancer types by a genome-wide transcriptomics analysis. The cell line gene expression is compared with the corresponding profiles in various tissues, organs, single-cell types and cancers. Here, we present the expression for each cell line and give guidance for the most appropriate cell line for a given experimental study. In addition, we explore the cancer-related pathway and cytokine activity of the cell lines to aid human biology studies and drug development projects. All data are presented in an open access cell line section of the Human Protein Atlas to facilitate the exploration of all human protein-coding genes across these cell lines.

8 September 2020 in Nature Communications
Verified
Journal Article
Open access
PDF file
ATAbdellah Tebani
Abdellah Tebani
AGAnders Gummesson
Anders Gummesson
WZWen Zhong
Wen Zhong
IKIna Schuppe Koistinen
Ina Schuppe Koistinen
TLTadepally Lakshmikanth
Tadepally Lakshmikanth
LFLinn Fagerberg
Linn Fagerberg
An important aspect of precision medicine is to probe the stability in molecular profiles among healthy individuals over time. Here, we sample a longitudinal wellness cohort with 100 healthy individuals and analyze blood molecular profiles including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell profiling, complemented with gut microbiota composition and routine clinical chemistry. Overall, our results show high variation between individuals across different molecular readouts, while the intra-individual baseline variation is low. The analyses show that each individual has a unique and stable plasma protein profile throughout the study period and that many individuals also show distinct profiles with regards to the other omics datasets, with strong underlying connections between the blood proteome and the clinical chemistry parameters. In conclusion, the results support an individual-based definition of health and show that comprehensive omics profiling in a longitudinal manner is a path forward for precision medicine.