biostudies-arrayexpressRidvan CetinMus musculusCellRanger-7.0.1https://www.ebi.ac.uk/biostudies/studies/E-MTAB-14678Hematopoiesis in embryonic and adult life is the process of producing blood cells. In mammalian embryos, hematopoiesis occurs in three consecutive overlapping waves (Neo et al. 2021; Dzierzak and Bigas 2018) and is regulated by transcription factors (TFs) and signaling molecules. In this study, we investigated the function of three relatively poorly studied TFs in early embryonic hematopoietic development at single-cell resolution: Activating transcription factor 3 (Atf3), Zinc finger protein 711 (Zfp711), and B cell CLL/lymphoma 6, member B (Bcl6b) respectively. We observed that these three TFs are upregulated early in development when hematopoietic and endothelial lineages separate from cardiac and other mesodermal lineages. To study the roles of these TFs in a rapidly changing system with diverse cell types and small cell populations during early developmental stages, we employed multiplexed single-cell RNA sequencing (scRNA-seq) of TF knockouts (KO) of in vitro differentiating mouse embryonic stem cells (mESCs) and also capturing changes with Flow Cytometric Analysis (FCA). This approach offered a valuable method to dissect the functions of these TFs in lineage induction, specification, and separation, providing access to sufficient numbers of various progenitor cells. We adapted available multiplexing technology for single-cell RNA sequencing (scRNA-seq) -multiplexing knockouts (KO) and Control conditions with biological replicates-, accompanied by Flow Cytometric Analysis (FCA) to study the role of three TFs in early embryonic hematopoietic development. Using this adaptation, the depth and coverage of this study can be placed between large-scale multiplexed CRISPR-based perturbation studies covering multiple candidate genes together (Datlinger et al. 2017; Jaitin et al. 2016; Dixit et al. 2016; Adamson et al. 2016) and single gene perturbation studies, which focus on the in-depth function/role of a particular gene with multiple experimental procedures (Harland et al. 2021). With adapted methodology, we studied the role of the three TF genes at once in a cost-efficient manner in one experiment by including three biological replicates to minimize false positive results, to capture a sufficient number of cells to detect changes in low abundance cell types, to minimize the creation of potential batch effects (e.g., each replicates creates a separate library) and prevent the loss of biological information during computational integration steps by skipping computational integration step. Following the scRNA-seq analysis, our findings are compared with publicly available datasets to categorize our findings. This categorized information can be used as a launching pad for future in-depth follow-up studies investigating the roles of these three TFs in hematoendothelial development.biostudies-arrayexpressSample Collection - Day 7 differentiated mouse embryonic stem cells are collected as embryonic bodies, washed with PBS, dissociated with TrypLE Express Enzyme for 5 minutes, and Trypsin-EDTA for 3 minutes at 37C in intermittent pipetting. After dissociation, samples are inactivated with PBS+10%FCs, go through a filter (40 um), and spin down 1000rpm for 5 minutes. The samples were washed three times with PBS+10%FCS. Than, 10X Genomics 3' CellPlex Kit Set A (CMO sample multiplexing) protocol followed and continued with Chromium Next GEM Single Cell 3ʹReagent Kits v3.1.Growth Protocol - mESCs-Medium: DMEM HyClone™ (cytiva SH30081), 15% - Fetal Bovine Serum (FBS) (Capricorn Scientific FBS-12A, CP18-2152), 1X - MEM Non-Essential Amino Acids Solution (100X) (Gibco 11140-035), 2mM - GlutaMAX™ Supplement (Gibco 35050061), 10mM - HyClone™ HEPES Buffer (cytiva SH30237.01), 1X - Penicillin-Streptomycin (100X) (Sigma-Aldrich P0781), 0.1mM - 2-Mercaptoethanol (50 mM) (Gibco 31350010), 1000U.ml - ESGRO® Recombinant Mouse LIF Protein 10^7 units/ml (Sigma-Aldrich ESG1107).Library Construction - Chromium Next GEM Single Cell 3' Reagent Kits v3.1 protocol has been followed with dual indexing library construction.Sample Treatment - Differentiation Medium: IMDM, GlutaMAX™ Supplement (Gibco 31980048), 15% - FBS (Capricorn Scientific FBS-12A, CP18-2152), 1X - Penicillin-Streptomycin (100X) (Sigma-Aldrich P0781), 0.1 mM - 2-Mercaptoethanol (50 mM) (Gibco 31350010), 50 µg/ml - L-Ascorbic acid (Sigma-Aldrich A5960-25G), 150 μg/mL -Transferrin (Roche 10652202001)Nucleic Acid Extraction - Chromium Next GEM Single Cell 3' Reagent Kits v3.1 protocol has been followed.Sequencing - Chromium Next GEM Single Cell 3' Reagent Kits v3.1 recommendation has been followed with dual indexing library construction and using Ilumina Novaseq 6000.OrganizationMINSEQE ScoreAssays and DataProcessed DataMAGE-TAB FilesData Transformation - The raw data were demultiplexed using the CellRanger-7.0.1 mkfastq pipeline. The gene expression data were processed using the CellRanger-7.0.1 count pipeline. Gene expression data in combination with CMOs were processed using the CellRanger-7.0.1 multi pipeline. The mm10 reference genome was used for generating the counts matrix.Sequence Alignment - The raw data were demultiplexed using the CellRanger-7.0.1 mkfastq pipeline. The gene expression data were processed using the CellRanger-7.0.1 count pipeline. Gene expression data in combination with CMOs were processed using the CellRanger-7.0.1 multi pipeline. The mm10 reference genome was used for generating the counts matrix.MetabolomicsUnknownTranscriptomicsGenomicsProteomicsIllumina NovaSeq 6000RNA-seq of coding RNA from single cellsMus musculusRidvan CetinfalseSingle-Cell Roadmap of Early Hemato-Endothelial Development: Roles of Atf3, Zfp711, And Bcl6bHematopoiesis in embryonic and adult life is the process of producing blood cells. In mammalian embryos, hematopoiesis occurs in three consecutive overlapping waves (Neo et al. 2021; Dzierzak and Bigas 2018) and is regulated by transcription factors (TFs) and signaling molecules. In this study, we investigated the function of three relatively poorly studied TFs in early embryonic hematopoietic development at single-cell resolution: Activating transcription factor 3 (Atf3), Zinc finger protein 711 (Zfp711), and B cell CLL/lymphoma 6, member B (Bcl6b) respectively. We observed that these three TFs are upregulated early in development when hematopoietic and endothelial lineages separate from cardiac and other mesodermal lineages. To study the roles of these TFs in a rapidly changing system with diverse cell types and small cell populations during early developmental stages, we employed multiplexed single-cell RNA sequencing (scRNA-seq) of TF knockouts (KO) of in vitro differentiating mouse embryonic stem cells (mESCs) and also capturing changes with Flow Cytometric Analysis (FCA). This approach offered a valuable method to dissect the functions of these TFs in lineage induction, specification, and separation, providing access to sufficient numbers of various progenitor cells. We adapted available multiplexing technology for single-cell RNA sequencing (scRNA-seq) -multiplexing knockouts (KO) and Control conditions with biological replicates-, accompanied by Flow Cytometric Analysis (FCA) to study the role of three TFs in early embryonic hematopoietic development. Using this adaptation, the depth and coverage of this study can be placed between large-scale multiplexed CRISPR-based perturbation studies covering multiple candidate genes together (Datlinger et al. 2017; Jaitin et al. 2016; Dixit et al. 2016; Adamson et al. 2016) and single gene perturbation studies, which focus on the in-depth function/role of a particular gene with multiple experimental procedures (Harland et al. 2021). With adapted methodology, we studied the role of the three TF genes at once in a cost-efficient manner in one experiment by including three biological replicates to minimize false positive results, to capture a sufficient number of cells to detect changes in low abundance cell types, to minimize the creation of potential batch effects (e.g., each replicates creates a separate library) and prevent the loss of biological information during computational integration steps by skipping computational integration step. Following the scRNA-seq analysis, our findings are compared with publicly available datasets to categorize our findings. This categorized information can be used as a launching pad for future in-depth follow-up studies investigating the roles of these three TFs in hematoendothelial development.2025-08-31T00:00:00Z2025-09-01T00:02:04.9Z2024-12-11T00:38:02.768ZE-MTAB-14678ERP166962EFO_0002944EFO_0004170EFO_0003789EFO_0005684EFO_0004917EFO_0005518EFO_0003816EFO_0004184EFO_0003969