Supplementary Figure 1: Generation and Characterization of a Conditional Lhx6 Allele

Total Page:16

File Type:pdf, Size:1020Kb

Supplementary Figure 1: Generation and Characterization of a Conditional Lhx6 Allele Supplementary Figure 1: Generation and characterization of a conditional Lhx6 allele (A) Schematic representation of the strategy used to generate the Lhx6fl allele by homologous recombination. A1 shows the targeted region of the wild-type Lhx6 locus. Exons 1a, 1b (generated by alternative splicing), 2 and 3 as well as the probes used for Southern blot analysis are indicated. H, HindIII. A2 shows the targeting construct including exons 1b, 2 and 3 flanked by loxP sites and PGK-Neo positive selection cassette flanked by FRT sites. The targeted Lhx6 allele following homologous recombination and removal of the PGK-Neo cassette (by FlpE-induced recombination of the FRT sites) is shown in A3 and A4, respectively. A5, following CRE-mediated recombination exons 1b, 2 and 3 are deleted. (B) Southern Blot analysis of HindIII digested genomic DNA from wild type (Lhx6+/+) and Lhx6fl/+ animals hybridized with 5’ and 3’ homology probes verifying the generation of the Lhx6fl allele. (C,D) Cryosections from the cortex of P18 control Nkx2.1-Cre;Ai14;Lhx6+/fl (Ctrl; C) or mutant Nkx2.1-Cre;Ai14;Lhx6fl/- (Mut; D) littermates were immunostained with a polyclonal Lhx6 antibody. The Lhx6fl allele was recombined with the Nkx2.1::Cre transgene and recombination was followed using the Cre-dependent Ai14 (tdT) reporter. Lhx6 expression (blue) is undetectable in MGE CIs (red) in Lhx6fl/- mice. (E) Quantification of Lhx6+ MGE-derived CIs in Ctrl and Mut mice. (F-J) Quantification of the co-localization of MGE and CGE markers in Ctrl and Mut mice. Note the dramatic reduction of MGE specific CI markers and the small increase of CGE-specific markers. Data expressed as mean ± SEM. Statistical significance evaluated using Student’s t-test, * denotes p < 0.05. Supplementary Figure 2: Quantification of CI subtypes in the motor cortex of Lhx6fl/+ (Ctrl) and Lhx6fl/- (Mut) mice. The data in panels A-F are from the animals used for Fig. 1. Specifically, A, B, C, D, E and F correspond respectively to panels G, L, M, I, J and K of 1 Figure 1. Note that the changes observed in motor cortex are similar to those observed in the somatosensory cortex. Supplementary Figure 3: Characterisation of Pv+ CIs in Lhx6 mutants. (A-D) Coronal sections from the cortex of P18 Nkx2.1-Cre;Ai14;Lhx6fl/- (A) and Htr3a-Cre;Ai14;Lhx6-/- (C) mice immunostained for Pv (green). CIs derived from the MGE (A) or CGE (C) are tdT+ (red). In panels B and D, which correspond to A and C respectively, the lineage tracer is shown in white. (E-H) Coronal sections from P18 VGat-Cre;Lhx6Fl/- mice double immunostained for Pv (green) and Lhx6 (red in E) and Sox6 (red in G). In panels F and H, which correspond to E and G respectively, the Lhx6 and Sox6 signal is shown in white. Yellow arrowheads indicate Pv-expressing cells. Supplementary Figure 4: No changes in proliferation or migration of CI precursors in Lhx6 mutant embryos. (A,B,E,F) Coronal brain sections from E14.5 wild-type (A,E) and Lhx6 mutant (B,F) mouse embryos immunostained for pH3. Sections shown in A and B are from the MGE level while sections shown in E and F are from the CGE level. (C,D,G,H) The set of sections shown in A,B,E and F imaged for EdU. (I) DAPI staining of 3 different sections across the rostro-caudal axis of an E16.5 wt mouse brain, representing the areas analysed for Sp8 immunostaining. Boxes indicate the two areas (A and B) along the latero- medial axis used for Sp8+ CI quantification shown in L. (J,K) Sp8+ migrating interneurons (green) in cortical sections of the A2 brain area (I) from wild-type (J) and Lhx6 mutant (K) E16.5 embryos. (L) Quantification of Sp8+ CIs along different regions of Lhx6+/+ (black) and Lhx6-/- (red) E16.5 mouse brains. Supplementary Figure 5: Global transcriptomic analysis of Lhx6 Mutants. (A) - MA plot summarizing the results of the differential expression analysis between Lhx6+/- and Lhx6- /- forebrains. Significantly upregulated genes are shown in red (977 genes) while significantly down-regulated genes are shown in blue (730 genes). Significance was set as a false 2 discovery rate of <= 0.05. (B) - Hierarchical clustering of Lhx6+/- and Lhx6-/- forebrain samples. Clusters were generated using the 25 most significantly upregulated genes in dissociated hippocampal cultures upon treatment with bicucullin(Yu et al., 2015). Log2 fold- change of each gene in each sample was calculated relative to the mean expression of that gene across all samples. Clustering was performed on the euclidean distance between the Log2 values. Genes upregulated upon bicucullin treatment are similarly upregulated upon deletion of Lhx6. (C) Table showing a list of Gene Ontology terms that were significantly (FDR<0.01) enriched in the genes differentially expressed upon deletion of Lhx6 in forebrains. Supplementary Figure 6: Nuclear c-fos expression increases in hM3D(Gq) expressing CIs following CNO administration. (A,B,D,E) Example confocal micrographs of coronal sections from mice electroporated in utero with a mixture of pCAGGS-hM3D(Gq)-IRES- RFP and pCAGGS-IRES-GFP plasmids and immunostained for GFP (green), RFP (red) and c-fos (white). Sections are from untreated (A) or CNO (D) treated animals. Panels B and E are identical to those in A and D respectively, but show only the c-fos signal (white). (C,F) Cumulative histogram of normalized c-fos intensity in nuclei from cells that are either negative (black) or positive (red) for RFP (hM3D(Gq)). Quantifications are from either untreated (C) or CNO (F) treated animals. Table S1: Summary of statistical analyses References Yu, H., Su, Y., Shin, J., Zhong, C., Guo, J.U., Weng, Y.L., Gao, F., Geschwind, D.H., Coppola, G., Ming, G.L., and Song, H. (2015). Tet3 regulates synaptic transmission and homeostatic plasticity via DNA oxidation and repair. Nat Neurosci 18, 836-843. 3 Fate Mapping (Figures 1,2, S1 and S2) Average SEM Average SEM N cells N cells Test Figure Cell Type Control Control Mutant Mutant Control Mutant p Used Panel MGE CI SSC Student's 1G (% Control) 100 7 65 5 5855 3907 0.02 t test CGE CI SSC (% Student's 1I Control) 100 7 185 21 984 1787 0.01 t test pan CI SSC (% Student's 1H Control) 100 5 97 1 6001 6198 0.6 t test Reelin+ CGE+ 1J SSC Student's (cells/mm2) 49.9 5.7 84.3 7 220 357 0.02 t test VIP+ CGE+ SSC Student's 1K (cells/mm2) 43 5 41.2 2.7 146 153 0.7 t test Pv+ MGE- SSC Student's 1L (cells/mm2) 29.7 0.4 69.2 3.8 80 208 0.009 t test Sst+ MGE- SSC Student's 1M (cells/mm2) 28 2.5 24.3 2.6 77 73 0.4 t test P2 MGE CI (% Student's 2I Control) 100 0.4 100.3 3.9 4048 5395 0.9 t test P2 CGE CI (% Student's 2I Control) 100 2.4 88.6 7 1009 773 0.2 t test P7 MGE CI (% Student's 2I Control) 100 5.5 71.2 3.8 5272 2878 0.01 t test P7 CGE CI (% Student's 2I Control) 100 9.1 153.8 3.4 1974 3670 0.02 t test P18 MGE CI Student's 2I (% Control) 100 6.7 65.3 4.7 23164 14257 0.02 t test P18 CGE CI (% Student's 2I Control) 100 3.2 176.3 13 3382 6318 0.02 t test TUNEL+MGE+ Student's 2K (% MGE+) 3.1 0.4 7.6 1.3 12712 5436 0.07 t test TUNEL+CGE+ Student's 2L (% CGE+) 2 0.1 0.7 0.1 3468 9943 0.0006 t test MGE CI MC Student's S2A (% Control) 100 11 65 5 6369 4269 0.07 t test CGE CI MC (% Student's S2D Control) 100 6 172 11 891 1693 0.002 t test Reelin+ CGE+ S2E MC Student's (cells/mm2) 44.7 3.5 94.9 7.1 191 448 0.009 t test VIP+ CGE+ MC Student's S2F (cells/mm2) 52.8 5.3 59.4 2.8 125 164 0.5 t test Pv+ MGE- MC Student's S2B (cells/mm2) 36 4.1 82.8 5.3 114 259 0.003 t test Sst+ MGE- MC Student's S2C (cells/mm2) 32.6 8.1 29.1 3 108 99 0.7 t test Lhx6+MGE+ (% Student's S1E MGE+) 89.3 4.9 0.5 0.3 1242 605 0.003 t test Pv+MGE+ (% Student's S1F MGE+) 54.2 1.7 4.7 0.5 5415 3389 0.001 t test Sst+MGE+ (% Student's S1G MGE+) 29 1.1 0.3 0.2 5749 3225 0.001 t test Reelin+MGE+ Student's S1H (% MGE+) 22.9 1 8 1.9 5504 3038 0.005 t test VIP+MGE+ (% Student's S1I MGE+) 0 0 5.1 0.4 5238 3383 0.005 t test Sp8+MGE+ (% Student's S1J MGE+) 0 0 5.8 1 4748 3084 0.03 t test Grafting GAD67:GFP CIs (Figure 3K) Individual Average SEM Control Mutant N animals n Cells n Cells Control Host Host Host Control Control Mutant Experiment 1 (% Control Average) 100 13 198 4 4933 2441 Experiment 2 (% Control Average) 100 9 184 5 16927 6223 Experiment 3 (% Control) 100 157 1 5434 8554 Average Average SEM Mutant p Test Used Mutant Host Host (% Control) Student's t test single sample (mean 181 13 0.02 100) Grafting hM3D(GQ) expressing CI (Figure 4J) Average SEM Average SEM Vehicle Vehicle CNO CNO p test RFP+ (% GFP+) Student's t test (paired 47 3 61 3 0.01 samples) Individual Fraction Fraction N Cells N Cells Experiments Vehicle CNO Vehicle CNO Experiment 1 RFP+ (% GFP+) 53.63 65.76 330 444 Experiment 2 RFP+ (% GFP+) 45.34 62.34 397 308 Experiment 3 RFP+ (% GFP+) 41.67 54.86 228 175 Material and Methods.
Recommended publications
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Tyson Goldberg Et Al-2015-Development-1267-78
    © 2015. Published by The Company of Biologists Ltd | Development (2015) 142, 1267-1278 doi:10.1242/dev.111526 RESEARCH ARTICLE STEM CELLS AND REGENERATION Duration of culture and sonic hedgehog signaling differentially specify PV versus SST cortical interneuron fates from embryonic stem cells Jennifer A. Tyson1,2, Ethan M. Goldberg3,4, Asif M. Maroof5, Qing Xu6, Timothy J. Petros7 and Stewart A. Anderson1,* ABSTRACT dysfunction is associated with a variety of neurological diseases, Medial ganglionic eminence (MGE)-derived GABAergic cortical including seizure disorders, schizophrenia and autism (Belforte et al., interneurons (cINs) consist of multiple subtypes that are involved in 2010; Chao et al., 2010; Inan et al., 2013). Interneurons are classified many cortical functions. They also have a remarkable capacity to into functionally distinct subgroups based on neurochemical markers, migrate, survive and integrate into cortical circuitry after transplantation connectivity profiles and electrophysiological properties (DeFelipe into postnatal cortex. These features have engendered considerable et al., 2013), with specific subtypes being implicated in different interest in generating distinct subgroups of interneurons from pluripotent disease etiologies (Binaschi et al., 2003; Levitt et al., 2004; Inan et al., stem cells (PSCs) for the study of interneuron fate and function, and for 2013; Jiang et al., 2013; Smith-Hicks, 2013). Genetic fate mapping the development of cell-based therapies. Although advances have been and transplantation studies
    [Show full text]
  • Identification of Novel Genes in Human Airway Epithelial Cells Associated with Chronic Obstructive Pulmonary Disease (COPD) Usin
    www.nature.com/scientificreports OPEN Identifcation of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Received: 6 July 2018 Accepted: 7 October 2018 Pulmonary Disease (COPD) using Published: xx xx xxxx Machine-Based Learning Algorithms Shayan Mostafaei1, Anoshirvan Kazemnejad1, Sadegh Azimzadeh Jamalkandi2, Soroush Amirhashchi 3, Seamas C. Donnelly4,5, Michelle E. Armstrong4 & Mohammad Doroudian4 The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers and 21 COPD smokers (9 GOLD stage I and 12 GOLD stage II) were included (n = 133). 20,097 probes were generated from a small airway epithelium (SAE) microarray dataset obtained from these subjects previously. Subsequently, the association between gene expression levels and smoking and COPD, respectively, was assessed using: AdaBoost Classifcation Trees, Decision Tree, Gradient Boosting Machines, Naive Bayes, Neural Network, Random Forest, Support Vector Machine and adaptive LASSO, Elastic-Net, and Ridge logistic regression analyses. Using this methodology, we identifed 44 candidate genes, 27 of these genes had been previously been reported as important factors in the pathogenesis of COPD or regulation of lung function. Here, we also identifed 17 genes, which have not been previously identifed to be associated with the pathogenesis of COPD or the regulation of lung function. The most signifcantly regulated of these genes included: PRKAR2B, GAD1, LINC00930 and SLITRK6. These novel genes may provide the basis for the future development of novel therapeutics in COPD and its associated morbidities.
    [Show full text]
  • Fig1-13Tab1-5.Pdf
    Supplementary Information Promoter hypomethylation of EpCAM-regulated bone morphogenetic protein genes in advanced endometrial cancer Ya-Ting Hsu, Fei Gu, Yi-Wen Huang, Joseph Liu, Jianhua Ruan, Rui-Lan Huang, Chiou-Miin Wang, Chun-Liang Chen, Rohit R. Jadhav, Hung-Cheng Lai, David G. Mutch, Paul J. Goodfellow, Ian M. Thompson, Nameer B. Kirma, and Tim Hui-Ming Huang Tables of contents Page Table of contents 2 Supplementary Methods 4 Supplementary Figure S1. Summarized sequencing reads and coverage of MBDCap-seq 8 Supplementary Figure S2. Reproducibility test of MBDCap-seq 10 Supplementary Figure S3. Validation of MBDCap-seq by MassARRAY analysis 11 Supplementary Figure S4. Distribution of differentially methylated regions (DMRs) in endometrial tumors relative to normal control 12 Supplementary Figure S5. Network analysis of differential methylation loci by using Steiner-tree analysis 13 Supplementary Figure S6. DNA methylation distribution in early and late stage of the TCGA endometrial cancer cohort 14 Supplementary Figure S7. Relative expression of BMP genes with EGF treatment in the presence or absence of PI3K/AKT and Raf (MAPK) inhibitors in endometrial cancer cells 15 Supplementary Figure S8. Induction of invasion by EGF in AN3CA and HEC1A cell lines 16 Supplementary Figure S9. Knockdown expression of BMP4 and BMP7 in RL95-2 cells 17 Supplementary Figure S10. Relative expression of BMPs and BMPRs in normal endometrial cell and endometrial cancer cell lines 18 Supplementary Figure S11. Microfluidics-based PCR analysis of EMT gene panel in RL95-2 cells with or without EGF treatment 19 Supplementary Figure S12. Knockdown expression of EpCAM by different shRNA sequences in RL95-2 cells 20 Supplementary Figure S13.
    [Show full text]
  • Genetic Identification of Brain Cell Types Underlying Schizophrenia
    bioRxiv preprint doi: https://doi.org/10.1101/145466; this version posted June 2, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Genetic identification of brain cell types underlying schizophrenia Nathan G. Skene 1 †, Julien Bryois 2 †, Trygve E. Bakken3, Gerome Breen 4,5, James J Crowley 6, Héléna A Gaspar 4,5, Paola Giusti-Rodriguez 6, Rebecca D Hodge3, Jeremy A. Miller 3, Ana Muñoz-Manchado 1, Michael C O’Donovan 7, Michael J Owen 7, Antonio F Pardiñas 7, Jesper Ryge 8, James T R Walters 8, Sten Linnarsson 1, Ed S. Lein 3, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Patrick F Sullivan 2,6 *, Jens Hjerling- Leffler 1 * Affiliations: 1 Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17177 Stockholm, Sweden. 2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-17177 Stockholm, Sweden. 3 Allen Institute for Brain Science, Seattle, Washington 98109, USA. 4 King’s College London, Institute of Psychiatry, Psychology and Neuroscience, MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK. 5 National Institute for Health Research Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, UK. 6 Departments of Genetics, University of North Carolina, Chapel Hill, NC, 27599-7264, USA. 7 MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK.
    [Show full text]
  • Supplementary Tables S1-S3
    Supplementary Table S1: Real time RT-PCR primers COX-2 Forward 5’- CCACTTCAAGGGAGTCTGGA -3’ Reverse 5’- AAGGGCCCTGGTGTAGTAGG -3’ Wnt5a Forward 5’- TGAATAACCCTGTTCAGATGTCA -3’ Reverse 5’- TGTACTGCATGTGGTCCTGA -3’ Spp1 Forward 5'- GACCCATCTCAGAAGCAGAA -3' Reverse 5'- TTCGTCAGATTCATCCGAGT -3' CUGBP2 Forward 5’- ATGCAACAGCTCAACACTGC -3’ Reverse 5’- CAGCGTTGCCAGATTCTGTA -3’ Supplementary Table S2: Genes synergistically regulated by oncogenic Ras and TGF-β AU-rich probe_id Gene Name Gene Symbol element Fold change RasV12 + TGF-β RasV12 TGF-β 1368519_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 42.22 5.53 75.28 1373000_at sushi-repeat-containing protein, X-linked 2 (predicted) Srpx2 19.24 25.59 73.63 1383486_at Transcribed locus --- ARE 5.93 27.94 52.85 1367581_a_at secreted phosphoprotein 1 Spp1 2.46 19.28 49.76 1368359_a_at VGF nerve growth factor inducible Vgf 3.11 4.61 48.10 1392618_at Transcribed locus --- ARE 3.48 24.30 45.76 1398302_at prolactin-like protein F Prlpf ARE 1.39 3.29 45.23 1392264_s_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 24.92 3.67 40.09 1391022_at laminin, beta 3 Lamb3 2.13 3.31 38.15 1384605_at Transcribed locus --- 2.94 14.57 37.91 1367973_at chemokine (C-C motif) ligand 2 Ccl2 ARE 5.47 17.28 37.90 1369249_at progressive ankylosis homolog (mouse) Ank ARE 3.12 8.33 33.58 1398479_at ryanodine receptor 3 Ryr3 ARE 1.42 9.28 29.65 1371194_at tumor necrosis factor alpha induced protein 6 Tnfaip6 ARE 2.95 7.90 29.24 1386344_at Progressive ankylosis homolog (mouse)
    [Show full text]
  • Qt7s99h7j8 Nosplash 33D25b6
    ! ii! Acknowledgements Lots of people have helped me get to where I am today and I apologize if I have left anyone out. First, I would like to thank my mother and father for always pushing me to try harder and encouraging me to persist in my scientific career. Both of my parents encouraged me to think like a scientist from a young age. I don’t think I would be here today without that early upbringing. Joining the Pollard lab was the best decision I made in graduate school. I can’t emphasize the importance of finding a good mentor in school. My advisor, Katherine Pollard, provided me with a model of leadership that I will carry with me for the rest of my career. Additionally, I would like to emphasize that the lab is full of driven individuals that have supported me in all my scientific endeavors. Fellow graduate students, Aram Avila-Herrera and Genevieve Erwin Haliburton, guided much of my direction during the early years. In addition, postdoctoral scholars Nandita Garud, Hassan Samee, Patrick Bradley, and Geoffrey Fudenberg were key in helping me prepare for my future steps in my career. I want to thank my committee members for sitting through long meetings and giving me the feedback I needed. Nadav Ahituv, Benoit Bruneau, and Jeff Wall have given me valuable advice on whether to pursue certain directions in my research. I also want to acknowledge all the individuals that supported me personally in school. In particular, I have always valued Sara Calhoun’s well-thought-out advice and Rose ! iii! Citron’s insight when making important decisions.
    [Show full text]
  • Induction of Human Somatostatin and Parvalbumin Neurons by Expressing a Single Transcription Factor LIM Homeobox 6
    RESEARCH ARTICLE Induction of human somatostatin and parvalbumin neurons by expressing a single transcription factor LIM homeobox 6 Fang Yuan1,2, Xin Chen3, Kai-Heng Fang1, Yuanyuan Wang4, Mingyan Lin4, Shi-Bo Xu1, Hai-Qin Huo1, Min Xu1, Lixiang Ma5, Yuejun Chen6, Shuijin He3*, Yan Liu1,2,7* 1Institute for Stem Cell and Neural Regeneration, School of Pharmacy, Nanjing Medical University, Nanjing, China; 2State Key Laboratory of Reproductive Medicine, Nanjing Medical Unveristy, Nanjing, China; 3School of Life Science and Technology, ShanghaiTech University, Shanghai, China; 4Department of Neuroscience, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China; 5Department of Human Anatomy and Histology, Institute of Stem Cells and Regenerative Medicine, Fudan University Shanghai Medical School, Shanghai, China; 6Institute of Neuroscience, Chinese Academy of Sciences, Beijing, China; 7Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, China Abstract Human GABAergic interneurons (GIN) are implicated in normal brain function and in numerous mental disorders. However, the generation of functional human GIN subtypes from human pluripotent stem cells (hPSCs) has not been established. By expressing LHX6, a transcriptional factor that is critical for GIN development, we induced hPSCs to form GINs, *For correspondence: including somatostatin (SST, 29%) and parvalbumin (PV, 21%) neurons. Our RNAseq results also [email protected] (YL); confirmed the alteration of GIN identity with the overexpression of LHX6. Five months after [email protected] (SH) transplantation into the mouse brain, the human GABA precursors generated increased population LHX6 Competing interests: The of SST and PV neurons by overexpressing . Importantly, the grafted human GINs exhibited authors declare that no functional electrophysiological properties and even fast-spiking-like action potentials.
    [Show full text]
  • LHX6 Monoclonal Antibody (M05), Clone 3E8
    LHX6 monoclonal antibody (M05), clone 3E8 Catalog # : H00026468-M05 規格 : [ 100 ug ] List All Specification Application Image Product Mouse monoclonal antibody raised against a partial recombinant LHX6. Western Blot (Cell lysate) Description: Immunogen: LHX6 (NP_055183, 274 a.a. ~ 363 a.a) partial recombinant protein with GST tag. MW of the GST tag alone is 26 KDa. Sequence: HKKHTPQHPVPPSGAPPSRLPSALSDDIHYTPFSSPERARMVTLHGYIES QVQCGQVHCRLPYTAPPVHLKADMDGPLSNRGEKVILFQY enlarge Western Blot (Cell lysate) Host: Mouse Reactivity: Human, Mouse Isotype: IgG2b Kappa Quality Control Antibody Reactive Against Recombinant Protein. enlarge Testing: Western Blot (Recombinant protein) ELISA Western Blot detection against Immunogen (35.64 KDa) . Storage Buffer: In 1x PBS, pH 7.4 Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. Instruction: MSDS: Download Datasheet: Download Applications Western Blot (Cell lysate) Page 1 of 3 2016/5/23 LHX6 monoclonal antibody (M05), clone 3E8 Western Blot analysis of LHX6 expression in HepG2 ( Cat # L019V1 ). Protocol Download Western Blot (Cell lysate) LHX6 monoclonal antibody (M05), clone 3E8. Western Blot analysis of LHX6 expression in NIH/3T3 ( Cat # L018V1 ). Protocol Download Western Blot (Recombinant protein) Protocol Download ELISA Gene Information Entrez GeneID: 26468 GeneBank NM_014368 Accession#: Protein NP_055183 Accession#: Gene Name: LHX6 Gene Alias: LHX6.1,MGC119542,MGC119544,MGC119545 Gene LIM homeobox 6 Description: Omim ID: 608215 Gene Ontology: Hyperlink Gene Summary: This gene encodes a member of a large protein family that contains the LIM domain, a unique cysteine-rich zinc-binding domain. The encoded protein may function as a transcriptional regulator and may be involved in the control of differentiation and development of neural and lymphoid cells.
    [Show full text]
  • Genome Architecture Marked by Retrotransposons Modulates Predisposition to DNA Methylation in Cancer
    Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Research Genome architecture marked by retrotransposons modulates predisposition to DNA methylation in cancer Marcos R.H. Este´cio,1,9 Juan Gallegos,2 Ce´line Vallot,3 Ryan J. Castoro,1 Woonbok Chung,1 Shinji Maegawa,1 Yasuhiro Oki,4 Yutaka Kondo,5 Jaroslav Jelinek,1 Lanlan Shen,6 Helge Hartung,7 Peter D. Aplan,7 Bogdan A. Czerniak,8 Shoudan Liang,2 and Jean-Pierre J. Issa1,9 1Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA; 2Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA; 3CNRS, UMR 144, Institut Curie, 75248 Cedex 05, Paris, France; 4Department of Hematology and Cell Therapy, Aichi Cancer Center Hospital and Research Institute, Nagoya 464-8681, Japan; 5Division of Molecular Oncology, Aichi Cancer Center Hospital and Research Institute, Nagoya 464-8681, Japan; 6Department of Pediatrics, Baylor College of Medicine, Houston, Texas 77030, USA; 7Genetic Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20889, USA; 8Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA Epigenetic silencing plays an important role in cancer development. An attractive hypothesis is that local DNA features may participate in differential predisposition to gene hypermethylation. We found that, compared with methylation- resistant genes, methylation-prone genes have a lower frequency of SINE and LINE retrotransposons near their tran- scription start site. In several large testing sets, this distribution was highly predictive of promoter methylation.
    [Show full text]
  • Supplementary Table 1. Hypermethylated Loci in Estrogen-Pre-Exposed Stem/Progenitor-Derived Epithelial Cells
    Supplementary Table 1. Hypermethylated loci in estrogen-pre-exposed stem/progenitor-derived epithelial cells. Entrez Gene Probe genomic location* Control# Pre-exposed# Description Gene ID name chr5:134392762-134392807 5307 PITX1 -0.112183718 6.077605311 paired-like homeodomain transcription factor 1 chr12:006600331-006600378 171017 ZNF384 -0.450661784 6.034362758 zinc finger protein 384 57121 GPR92 G protein-coupled receptor 92 chr3:015115848-015115900 64145 ZFYVE20 -1.38491748 5.544950925 zinc finger, FYVE domain containing 20 chr7:156312210-156312270 -2.026450994 5.430611412 chr4:009794114-009794159 9948 WDR1 0.335617144 5.352264173 WD repeat domain 1 chr17:007280631-007280676 284114 TMEM102 -2.427266294 5.060047786 transmembrane protein 102 chr20:055274561-055274606 655 BMP7 0.764898513 5.023260524 bone morphogenetic protein 7 chr10:088461669-088461729 11155 LDB3 0 4.817869864 LIM domain binding 3 chr7:005314259-005314304 80028 FBXL18 0.921361233 4.779265347 F-box and leucine-rich repeat protein 18 chr9:130571259-130571313 59335 PRDM12 1.123111331 4.740306098 PR domain containing 12 chr2:054768043-054768088 6711 SPTBN1 -0.089623066 4.691756995 spectrin, beta, non-erythrocytic 1 chr10:070330822-070330882 79009 DDX50 -2.848748309 4.691491169 DEAD (Asp-Glu-Ala-Asp) box polypeptide 50 chr1:162469807-162469854 54499 TMCO1 1.495802762 4.655023656 transmembrane and coiled-coil domains 1 chr2:080442234-080442279 1496 CTNNA2 1.296310425 4.507269831 catenin (cadherin-associated protein), alpha 2 347730 LRRTM1 leucine rich repeat transmembrane
    [Show full text]
  • Supporting Information
    Supporting Information SI materials and Methods Generation of Sirpα-/- mice: A neomycin resistant cassette was inserted into the Sirpα gene and replaced exons 2-4 and their flanking regions. The embryonic stem (ES) clones containing the mutated structure were selected and were microinjected into mouse blastocysts. Chimeric mice were produced and were confirmed to contain the mutant allele by genotyping. After extensively backcrossing with WT C57BL/6J mice (> ten generations), heterozygotes containing the mutant allele in C57BL/6J background were obtained and were further bred to obtain homozygous. PCR genotyping was performed using Sirpα gene-specific primers (Forward-1: 5’-ctgaaggtgactcagcctgagaaa and Reverse-1: 5’- actgatacggatggaaaagtccat; and neomycin cassette-specific primers (NeoF 5’-tgtgctcgacgttgtcactg and NeoR 5’-cgataccgtaaagcacgaggaagc). Western Blot (WB) analyses were performed to confirm depletion of Sirpα expression in bone marrow leukocytes, peripheral granulocytes and monocytes, peritoneal and spleen macrophages using mAb P84 and a polyclonal antibody against the Sirpα cytoplasmic tail (1). Antibodies and reagents: Rabbit mAbs against murine phospho-Syk (C87C1), Syk (D3Z1E) calreticulin (D3E6) and myosin IIA (3403) were purchased from Cell Signaling Technology (Danvers, MA). Rabbit anti–murine SHP-1 Ab (C19), goat anti-murine Scavenger receptor-A (SR-A) (E20) were purchased from Santa Cruz Biotechnology (Dallas, TX). Rabbit mAbs against murine calreticulin (EPR2907) and LDL receptor related protein 1 (LRP1) (EPR3724) were purchased from Abcam (Cambridge, MA). Rat mAbs against murine Cd47 (miap301) and Sirpα (P84) were purchased from BD Biosciences (San Jose, CA). LEAF-purified anti-mouse Cd16/32, anti-mouse Cd11b and anti-mouse IL- 17 were purchased from Biolegend (San Diego, CA).
    [Show full text]