<codeBook xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="ddi:codebook:2_5 http://www.ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" xmlns="ddi:codebook:2_5">
  <docDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Läkemedelskänslighet, affinitetsproteomik, samt encellsspatiell ytproteomik från patienter med akut myeloisk leukemi vid diagnos</titl>
        <altTitl>Functional and molecular drivers of therapy response in FLT3-mutant leukemia</altTitl>
        <parTitl xml:lang="en">DSRT, affinity proteomics, and single-cell surface spatial proteomics in patient with acute myeloid leukemia at diagnosis</parTitl>
        <IDNo agency="SND">2025-57-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.48723/n3h9-wr71</IDNo>
      </titlStmt>
      <prodStmt>
        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
      </prodStmt>
      <holdings URI="https://doi.org/10.48723/n3h9-wr71">Landing page</holdings>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Läkemedelskänslighet, affinitetsproteomik, samt encellsspatiell ytproteomik från patienter med akut myeloisk leukemi vid diagnos</titl>
        <altTitl>Functional and molecular drivers of therapy response in FLT3-mutant leukemia</altTitl>
        <parTitl xml:lang="en">DSRT, affinity proteomics, and single-cell surface spatial proteomics in patient with acute myeloid leukemia at diagnosis</parTitl>
        <IDNo agency="SND">2025-57-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.48723/n3h9-wr71</IDNo>
        <IDNo agency="DOI">10.1038/s41698-026-01363-8</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Department of Oncology-Pathology  [K7], Karolinska Institutet">Erkers, Tom</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Institutionen för onkologi-patologi, Karolinska Institutet">Erkers, Tom</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="SciLifeLab &amp; Wallenberg National Program for Data-Driven Life Science, Karolinska Institutet">Kallioniemi, Olli</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="SciLifeLab &amp; Wallenberg National Program for Data-Driven Life Science, Karolinska Institutet">Kallioniemi, Olli</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Department of Medicine, Karolinska Institutet">Lehmann, Sören</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Institutionen för medicin, Karolinska Institutet">Lehmann, Sören</AuthEnty>
      </rspStmt>
      <prodStmt>
        <grantNo xml:lang="en" agency="Swedish childhood cancer fund">TJ2021-0080</grantNo>
        <grantNo xml:lang="sv" agency="Barncancerfonden">TJ2021-0080</grantNo>
        <grantNo xml:lang="en" agency="Karolinska Institute">2024-00304, 2020-01091, 2018-02283</grantNo>
        <grantNo xml:lang="sv" agency="Karolinska Institutet">2024-00304, 2020-01091, 2018-02283</grantNo>
        <grantNo xml:lang="en" agency="Swedish foundation for strategic research">SB16-0058</grantNo>
        <grantNo xml:lang="sv" agency="Stiftelsen för Strategisk Forskning">SB16-0058</grantNo>
        <grantNo xml:lang="en" agency="Swedish research council">2017-06095</grantNo>
        <grantNo xml:lang="sv" agency="Vetenskapsrådet">2017-06095</grantNo>
        <grantNo xml:lang="en" agency="Knut and Alice Wallenberg foundation">2015.0291</grantNo>
        <grantNo xml:lang="sv" agency="Knut and Alice Wallenberg Stiftelse">2015.0291</grantNo>
      </prodStmt>
      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2026-03-11" />
      </distStmt>
      <verStmt>
        <version elementVersion="1" elementVersionDate="2026-03-11" />
      </verStmt>
      <holdings URI="https://doi.org/10.48723/n3h9-wr71">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject>
        <keyword xml:lang="en" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D057285">Precision Medicine</keyword>
        <keyword xml:lang="sv" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D057285">Precisionsmedicin</keyword>
        <keyword xml:lang="en" vocab="ICD-10" vocabURI="https://icd.who.int/browse10/2019/en#/C92">Myeloid leukaemia</keyword>
        <keyword xml:lang="sv" vocab="ICD-10" vocabURI="https://icd.who.int/browse10/2019/en#/C92">Myeloisk leukemi</keyword>
        <topcClas xml:lang="en" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?code=Health.SpecificDiseasesDisordersAndMedicalConditions">Specific diseases, disorders and medical conditions</topcClas>
        <topcClas xml:lang="sv" vocab="CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?code=Health.SpecificDiseasesDisordersAndMedicalConditions">Specifika sjukdomar, störningar och medicinska tillstånd</topcClas>
      </subject>
      <abstract xml:lang="en" contentType="abstract">The purpose of this study was to investigate the molecular and functional mechanisms underlying resistance to FLT3 inhibitors in FLT3-mutant acute myeloid leukemia, with the goal of identifying predictive markers of response and potential combination strategies to overcome resistance.

This repository contains multi-omic data generated on FLT3 mutant and wild-type AML patients. The datasets consist of selective drug sensitivity scores, soluble protein levels, and spatial proteomics data, along with annotation files linking patient IDs across datasets and drug classifications. Data processing methods and software dependencies are specified for each dataset. 

File List: 
- sDSS.csv : sDSS table with response to 528 drug perturbations in FLT3 mutant patients.
- sDSS_FLT3i.csv : sDSS table with response to 8 FLT3i in FLT3 mutant and wild type patients.
- olink_NPX.csv : Soluble protein data table for 17 FLT3 mutant patients.
- pixelgen.RData : RData file containing a merged Seurat object with single-cell spatial proteomics data for 6 FLT3 mutant patients.
- annotation.csv : Annotation file for all samples.

Included is also a list of drug classes:
- drug_class.csv

Total size of the dataset is approximately 1.4 GB.</abstract>
      <abstract xml:lang="sv" contentType="abstract">Detta arkiv innehåller multi-omiska data genererade från patienter med FLT3 mutation och vildtyp AML. Data består av selektiva läkemedelskänslighetsvärden, nivåer av lösliga proteiner samt spatial proteomikdata, tillsammans med annoteringsfiler som länkar patient-ID:n mellan olika dataset och läkemedelsklassificeringar. Databehandlingsmetoder och programvaruberoenden är specificerade för varje dataset.

För mer information se beskrivning på engelska.</abstract>
      <sumDscr>
        <collDate xml:lang="en" date="2018" event="start">2018</collDate>
        <collDate xml:lang="en" date="2021" event="end">2021</collDate>
        <nation xml:lang="en" abbr="SE">Sweden</nation>
        <nation xml:lang="sv" abbr="SE">Sverige</nation>
        <anlyUnit xml:lang="en" unit="Individual">Individual<concept vocab="DDI Analysis Unit" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/AnalysisUnit/2.1.3?languageVersion=en-2.1.3">Individual</concept></anlyUnit>
        <anlyUnit xml:lang="sv" unit="Individ">Individ<concept vocab="DDI Analysis Unit" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/AnalysisUnit/2.1.3?languageVersion=sv-2.1.3">Individ</concept></anlyUnit>
        <universe xml:lang="en">The population consists of 175 acute myeloid leukemia (AML) patients of which 63 have a FLT3 mutation. The proteomic datasets only contain FLT3 mutant patient samples while the drug testing data contains both.</universe>
        <universe xml:lang="sv">Studiepopulationen består av 175 patienter med akut myeloisk leukemi (AML), varav 63 har en FLT3-mutation. Proteomikdatamängderna innehåller endast prover från FLT3-muterade patienter, medan läkemedelstestningsdata omfattar båda grupperna.</universe>
        <dataKind xml:lang="en">Numeric</dataKind>
        <dataKind xml:lang="en">Text</dataKind>
        <dataKind xml:lang="en">Other</dataKind>
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    <method>
      <dataColl>
        <timeMeth xml:lang="en">Other<concept vocab="DDI Time Method" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/TimeMethod/1.2.3?languageVersion=en-1.2.3">Other</concept></timeMeth>
        <timeMeth xml:lang="sv">Övrigt<concept vocab="DDI Time Method" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/TimeMethod/1.2.3?languageVersion=sv-1.2.3">Övrigt</concept></timeMeth>
        <sampProc xml:lang="en">Bone marrow aspirates or peripheral blood were obtained in parallel with clinical routine diagnostics. Mononuclear cells (MNCs) were isolated with lymphoprep. Following MNC isolation, red blood cells were removed with ACK lysis buffer and the cells were directly used for experiments.<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=en-2.0.1">Bone marrow aspirates or peripheral blood were obtained in parallel with clinical routine diagnostics. Mononuclear cells (MNCs) were isolated with lymphoprep. Following MNC isolation, red blood cells were removed with ACK lysis buffer and the cells were directly used for experiments.</concept></sampProc>
        <sampProc xml:lang="sv">Prover från benmärg eller perifert blod togs i samband med rutindiagnostik. Mononukleära celler isolerades genom gradientcentrifugering och röda blodkroppar lyserades med ACK buffert innan analys.<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=sv-2.0.1">Prover från benmärg eller perifert blod togs i samband med rutindiagnostik. Mononukleära celler isolerades genom gradientcentrifugering och röda blodkroppar lyserades med ACK buffert innan analys.</concept></sampProc>
        <sampProc xml:lang="en">Probability: Simple random<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=en-2.0.1">Probability: Simple random</concept></sampProc>
        <sampProc xml:lang="sv">Sannolikhetsurval: obundet slumpmässigt urval<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=sv-2.0.1">Sannolikhetsurval: obundet slumpmässigt urval</concept></sampProc>
        <collMode xml:lang="en">Drug sensitivity and resistance testing, FIMM FO5A library, CellTiter Glo<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Drug sensitivity and resistance testing, FIMM FO5A library, CellTiter Glo</concept></collMode>
        <collMode xml:lang="sv">Drug sensitivity and resistance testing, FIMM FO5A library, CellTiter Glo<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Drug sensitivity and resistance testing, FIMM FO5A library, CellTiter Glo</concept></collMode>
        <collMode xml:lang="en">Biological tests<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Biological tests</concept></collMode>
        <collMode xml:lang="sv">Biologiska provtagningar<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Biologiska provtagningar</concept></collMode>
        <collMode xml:lang="en">Single cell spatial proteomics kit (Pixelgen, immunology panel I), sequenced using a NovaSeq X Plus system<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Single cell spatial proteomics kit (Pixelgen, immunology panel I), sequenced using a NovaSeq X Plus system</concept></collMode>
        <collMode xml:lang="sv">Single cell spatial proteomics kit (Pixelgen, immunology panel I), sequenced using a NovaSeq X Plus system<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Single cell spatial proteomics kit (Pixelgen, immunology panel I), sequenced using a NovaSeq X Plus system</concept></collMode>
        <collMode xml:lang="en">Biological tests<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Biological tests</concept></collMode>
        <collMode xml:lang="sv">Biologiska provtagningar<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Biologiska provtagningar</concept></collMode>
        <collMode xml:lang="en">Olink 96 Immuno-Oncology panel (Olink Proteomics) measured with a BioMarkTM HD System (Fluidigm)<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Olink 96 Immuno-Oncology panel (Olink Proteomics) measured with a BioMarkTM HD System (Fluidigm)</concept></collMode>
        <collMode xml:lang="sv">Olink 96 Immuno-Oncology panel (Olink Proteomics) measured with a BioMarkTM HD System (Fluidigm)<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Olink 96 Immuno-Oncology panel (Olink Proteomics) measured with a BioMarkTM HD System (Fluidigm)</concept></collMode>
        <collMode xml:lang="en">Biological tests<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Biological tests</concept></collMode>
        <collMode xml:lang="sv">Biologiska provtagningar<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Biologiska provtagningar</concept></collMode>
      </dataColl>
    </method>
    <dataAccs>
      <useStmt>
        <restrctn xml:lang="en">Access to data through SND. Access to data is restricted.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via SND. Tillgång till data är begränsad.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">restrictedAccess</conditions>
      </useStmt>
    </dataAccs>
    <othrStdyMat>
      <relPubl>
        <citation>
          <titlStmt>
            <titl xml:lang="sv">Struyf, N., Gezelius, H., Lundmark, A. et al. Midostaurin response in AML is shaped by a progenitor-like cell state selectively targeted by SMAC mimetics. npj Precis. Onc. (2026). https://doi.org/10.1038/s41698-026-01363-8</titl>
            <parTitl xml:lang="en">Struyf, N., Gezelius, H., Lundmark, A. et al. Midostaurin response in AML is shaped by a progenitor-like cell state selectively targeted by SMAC mimetics. npj Precis. Onc. (2026). https://doi.org/10.1038/s41698-026-01363-8</parTitl>
            <IDNo agency="DOI">10.1038/s41698-026-01363-8</IDNo>
          </titlStmt>
          <distStmt>
            <distDate date="2026">2026</distDate>
          </distStmt>
        </citation>
      </relPubl>
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