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        <titl xml:lang="sv">Raw scRNA-seq FASTQ-datafiler för: Nerve growth factor responsive elements modulate immune cell inflammation and are dysregulated in an Alzheimer's disease mouse model</titl>
        <parTitl xml:lang="en">Raw scRNA-seq FASTQ data files for: Nerve growth factor responsive elements modulate immune cell inflammation and are dysregulated in an Alzheimer's disease mouse model</parTitl>
        <IDNo agency="SND">2026-128-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.48723/d5mw-0122</IDNo>
      </titlStmt>
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        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
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      <holdings URI="https://doi.org/10.48723/d5mw-0122">Landing page</holdings>
    </citation>
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    <citation>
      <titlStmt>
        <titl xml:lang="sv">Raw scRNA-seq FASTQ-datafiler för: Nerve growth factor responsive elements modulate immune cell inflammation and are dysregulated in an Alzheimer's disease mouse model</titl>
        <parTitl xml:lang="en">Raw scRNA-seq FASTQ data files for: Nerve growth factor responsive elements modulate immune cell inflammation and are dysregulated in an Alzheimer's disease mouse model</parTitl>
        <IDNo agency="SND">2026-128-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.48723/d5mw-0122</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Department of Neurobiology, Care Sciences and Society [H1], Karolinska Institutet">Eriksdotter, Maria</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Institutionen för neurobiologi, vårdvetenskap och samhälle, Karolinska Institutet">Eriksdotter, Maria</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Department of Neurobiology, Care Sciences and Society [H1], Karolinska Institutet">Gera, Ruchi</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Institutionen för neurobiologi, vårdvetenskap och samhälle, Karolinska Institutet">Gera, Ruchi</AuthEnty>
      </rspStmt>
      <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="2026-04-15" />
      </distStmt>
      <verStmt>
        <version elementVersion="1" elementVersionDate="2026-04-15" />
      </verStmt>
      <holdings URI="https://doi.org/10.48723/d5mw-0122">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject>
        <keyword xml:lang="en" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D007249">Inflammation</keyword>
        <keyword xml:lang="sv" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D007249">Inflammation</keyword>
        <keyword xml:lang="en" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D009414">Nerve Growth Factors</keyword>
        <keyword xml:lang="sv" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D009414">Nervtillväxtfaktorer</keyword>
        <keyword xml:lang="en" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D059329">Cholinergic Neurons</keyword>
        <keyword xml:lang="sv" vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D059329">Kolinerga neuroner</keyword>
        <keyword xml:lang="en" vocab="SNOMEDCT" vocabURI="http://snomed.info/id/73259009">Immune cell phenotyping</keyword>
        <keyword xml:lang="sv" vocab="SNOMEDCT" vocabURI="http://snomed.info/id/73259009">fenotypbestämning av immuncell</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">This dataset contains raw single-cell RNA sequencing (scRNA-seq) FASTQ files generated from splenocytes isolated from wild-type C57BL/6J mice (n = 2). Libraries were prepared using the 10x Genomics Chromium Next GEM Single Cell 3′ Reagent Kit v3.1 and sequenced on an Illumina NextSeq 2000 platform. The dataset consists of paired-end raw sequencing files associated with a study titled "Nerve growth factor responsive elements modulate immune cell inflammation and are dysregulated in an Alzheimer's disease mouse model".

The dataset consists of four (4) files:
- RGAD_WT_S1_L001_R1_001.fastq.gz
Forward reads for WT sample 1
- RGAD_WT_S1_L001_R2_001.fastq.gz
Reverse reads for WT sample 1
- RGAD_WT1_S1_L001_R1_001.fastq.gz
Forward reads for WT sample 2
- RGAD_WT1_S1_L001_R2_001.fastq.gz
Reverse reads for WT sample 2</abstract>
      <abstract xml:lang="sv" contentType="abstract">Datasetet innehåller raw FASTQ-filer från single-cell RNA-sekvensering (scRNA-seq) genererade från splenocyter isolerade från vildtyp C57BL/6J-möss (n = 2). Bibliotek preparerades med 10x Genomics Chromium Next GEM Single Cell 3′ Reagent Kit v3.1 och sekvenserades på en Illumina NextSeq 2000-plattform. Datasetet består av parade råa sekvenseringsfiler kopplade till en studie med titeln "Nerve growth factor responsive elements modulate immune cell inflammation and are dysregulated in an Alzheimer's disease mouse model".

The dataset consists of four (4) files:
- RGAD_WT_S1_L001_R1_001.fastq.gz
Forward reads for WT sample 1
- RGAD_WT_S1_L001_R2_001.fastq.gz
Reverse reads for WT sample 1
- RGAD_WT1_S1_L001_R1_001.fastq.gz
Forward reads for WT sample 2
- RGAD_WT1_S1_L001_R2_001.fastq.gz
Reverse reads for WT sample 2</abstract>
      <sumDscr>
        <anlyUnit xml:lang="en" unit="Animal">Animal<concept vocab="DDI Analysis Unit" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/AnalysisUnit/2.1.3?languageVersion=en-2.1.3">Animal</concept></anlyUnit>
        <anlyUnit xml:lang="sv" unit="Djur">Djur<concept vocab="DDI Analysis Unit" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/AnalysisUnit/2.1.3?languageVersion=sv-2.1.3">Djur</concept></anlyUnit>
        <universe xml:lang="en">Wild-type Mus musculus C57BL/6J laboratory mice; splenocyte-derived single-cell suspensions used for scRNA-seq analysis.</universe>
        <universe xml:lang="sv">Vild typ Mus musculus C57BL/6J laboratoriemöss; single-cell-suspensioner från splenocyter använda för scRNA-seq-analys.</universe>
        <dataKind xml:lang="en">Other</dataKind>
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        <sampProc xml:lang="en">2 biological samples<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=en-2.0.1">2 biological samples</concept></sampProc>
        <sampProc xml:lang="sv">2 biologiska prover<concept vocab="DDI Sampling Procedure" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/SamplingProcedure/2.0.1?languageVersion=sv-2.0.1">2 biologiska prover</concept></sampProc>
        <collMode xml:lang="en">Mice were kept on a 12h light/dark cycle and food and water were available ad libitum. Mice were deeply anesthetized using isoflurane to collect spleen. Dissected spleens were processed to collect splenic immune cells. 
After isolation, the splenocytes were counted and the viability was measured with the Luna FL dual fluorescence cell counter with dual stain Acridine Orange/Propidium Iodide, with cell size gated between 1-60 μm (Logos Biosystems). Cell suspensions with viability of 85% were encapsulated using the Next Gem Single Cell 3′ Reagent kit v3.1. (Dual index) from 10x Genomics (cat: PN-100026), aiming to capture 5,000 cells. Libraries were prepared as per manufacturer’s instruction (protocol CG000315) and sequenced using the Illumina platform on a Next seq2000 P3 100 cycles flow cell, aiming for an average read depth of 40,000 reads/cell. 
The cell capture and library generation were performed at the Single Cell Core Facility of Flemingsberg Campus (SICOF) that receives funding from the Infrastructure Board at Karolinska Institutet.<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Mice were kept on a 12h light/dark cycle and food and water were available ad libitum. Mice were deeply anesthetized using isoflurane to collect spleen. Dissected spleens were processed to collect splenic immune cells. 
After isolation, the splenocytes were counted and the viability was measured with the Luna FL dual fluorescence cell counter with dual stain Acridine Orange/Propidium Iodide, with cell size gated between 1-60 μm (Logos Biosystems). Cell suspensions with viability of 85% were encapsulated using the Next Gem Single Cell 3′ Reagent kit v3.1. (Dual index) from 10x Genomics (cat: PN-100026), aiming to capture 5,000 cells. Libraries were prepared as per manufacturer’s instruction (protocol CG000315) and sequenced using the Illumina platform on a Next seq2000 P3 100 cycles flow cell, aiming for an average read depth of 40,000 reads/cell. 
The cell capture and library generation were performed at the Single Cell Core Facility of Flemingsberg Campus (SICOF) that receives funding from the Infrastructure Board at Karolinska Institutet.</concept></collMode>
        <collMode xml:lang="sv">Mice were kept on a 12h light/dark cycle and food and water were available ad libitum. Mice were deeply anesthetized using isoflurane to collect spleen. Dissected spleens were processed to collect splenic immune cells. 
After isolation, the splenocytes were counted and the viability was measured with the Luna FL dual fluorescence cell counter with dual stain Acridine Orange/Propidium Iodide, with cell size gated between 1-60 μm (Logos Biosystems). Cell suspensions with viability of 85% were encapsulated using the Next Gem Single Cell 3′ Reagent kit v3.1. (Dual index) from 10x Genomics (cat: PN-100026), aiming to capture 5,000 cells. Libraries were prepared as per manufacturer’s instruction (protocol CG000315) and sequenced using the Illumina platform on a Next seq2000 P3 100 cycles flow cell, aiming for an average read depth of 40,000 reads/cell. 
The cell capture and library generation were performed at the Single Cell Core Facility of Flemingsberg Campus (SICOF) that receives funding from the Infrastructure Board at Karolinska Institutet.<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Mice were kept on a 12h light/dark cycle and food and water were available ad libitum. Mice were deeply anesthetized using isoflurane to collect spleen. Dissected spleens were processed to collect splenic immune cells. 
After isolation, the splenocytes were counted and the viability was measured with the Luna FL dual fluorescence cell counter with dual stain Acridine Orange/Propidium Iodide, with cell size gated between 1-60 μm (Logos Biosystems). Cell suspensions with viability of 85% were encapsulated using the Next Gem Single Cell 3′ Reagent kit v3.1. (Dual index) from 10x Genomics (cat: PN-100026), aiming to capture 5,000 cells. Libraries were prepared as per manufacturer’s instruction (protocol CG000315) and sequenced using the Illumina platform on a Next seq2000 P3 100 cycles flow cell, aiming for an average read depth of 40,000 reads/cell. 
The cell capture and library generation were performed at the Single Cell Core Facility of Flemingsberg Campus (SICOF) that receives funding from the Infrastructure Board at Karolinska Institutet.</concept></collMode>
        <collMode xml:lang="en">Laboratory experiment<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=en-5.0.0">Laboratory experiment</concept></collMode>
        <collMode xml:lang="sv">Laboratorieexperiment<concept vocab="DDI Mode of Collection" vocabURI="https://vocabularies.cessda.eu/v2/vocabularies/ModeOfCollection/5.0.0?languageVersion=sv-5.0.0">Laboratorieexperiment</concept></collMode>
      </dataColl>
    </method>
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      <useStmt>
        <restrctn xml:lang="en">Access to data through SND. Data are freely accessible.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via SND. Data är fritt tillgängliga.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">openAccess</conditions>
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