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Species

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Gene

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Platform

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  • Manual Assay miRNAscope (5099) Apply Manual Assay miRNAscope filter
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  • T3 (3) Apply T3 filter
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Channel

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HiPlex Channel

  • T1 (84393) Apply T1 filter
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  • T11 (84374) Apply T11 filter
  • T9 (81898) Apply T9 filter
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  • T3 (81881) Apply T3 filter
  • T6 (81881) Apply T6 filter
  • T5 (81875) Apply T5 filter
  • S1 (32) Apply S1 filter
  • 8 (17) Apply 8 filter
  • 1 (1) Apply 1 filter
  • 10 (1) Apply 10 filter
  • 6 (1) Apply 6 filter

Product

  • RNAscope Multiplex Fluorescent Assay (1035) Apply RNAscope Multiplex Fluorescent Assay filter
  • RNAscope (998) Apply RNAscope filter
  • RNAscope Fluorescent Multiplex Assay (732) Apply RNAscope Fluorescent Multiplex Assay filter
  • RNAscope 2.5 HD Red assay (704) Apply RNAscope 2.5 HD Red assay filter
  • RNAscope 2.0 Assay (497) Apply RNAscope 2.0 Assay filter
  • RNAscope 2.5 HD Brown Assay (293) Apply RNAscope 2.5 HD Brown Assay filter
  • TBD (193) Apply TBD filter
  • RNAscope 2.5 LS Assay (191) Apply RNAscope 2.5 LS Assay filter
  • RNAscope 2.5 HD Duplex (160) Apply RNAscope 2.5 HD Duplex filter
  • RNAscope 2.5 HD Reagent Kit - BROWN (108) Apply RNAscope 2.5 HD Reagent Kit - BROWN filter
  • RNAscope Multiplex Fluorescent v2 (97) Apply RNAscope Multiplex Fluorescent v2 filter
  • BASEscope Assay RED (91) Apply BASEscope Assay RED filter
  • RNAscope 2.5 VS Assay (85) Apply RNAscope 2.5 VS Assay filter
  • Basescope (53) Apply Basescope filter
  • RNAscope HiPlex v2 assay (30) Apply RNAscope HiPlex v2 assay filter
  • miRNAscope (26) Apply miRNAscope filter
  • DNAscope HD Duplex Reagent Kit (15) Apply DNAscope HD Duplex Reagent Kit filter
  • RNAscope 2.5 HD duplex reagent kit (13) Apply RNAscope 2.5 HD duplex reagent kit filter
  • BaseScope Duplex Assay (12) Apply BaseScope Duplex Assay filter
  • RNAscope Multiplex fluorescent reagent kit v2 (6) Apply RNAscope Multiplex fluorescent reagent kit v2 filter
  • RNAscope Fluorescent Multiplex Reagent kit (5) Apply RNAscope Fluorescent Multiplex Reagent kit filter
  • RNAscope ISH Probe High Risk HPV (5) Apply RNAscope ISH Probe High Risk HPV filter
  • CTCscope (4) Apply CTCscope filter
  • RNAscope 2.5 HD Reagent Kit (4) Apply RNAscope 2.5 HD Reagent Kit filter
  • RNAscope HiPlex12 Reagents Kit (3) Apply RNAscope HiPlex12 Reagents Kit filter
  • DNAscope Duplex Assay (2) Apply DNAscope Duplex Assay filter
  • RNAscope 2.5 HD Assay (2) Apply RNAscope 2.5 HD Assay filter
  • RNAscope 2.5 LS Assay - RED (2) Apply RNAscope 2.5 LS Assay - RED filter
  • RNAscope Multiplex Fluorescent Assay v2 (2) Apply RNAscope Multiplex Fluorescent Assay v2 filter
  • BOND RNAscope Brown Detection (1) Apply BOND RNAscope Brown Detection filter
  • HybEZ Hybridization System (1) Apply HybEZ Hybridization System filter
  • miRNAscope Assay Red (1) Apply miRNAscope Assay Red filter
  • RNA-Protein CO-Detection Ancillary Kit (1) Apply RNA-Protein CO-Detection Ancillary Kit filter
  • RNAscope 2.0 HD Assay - Chromogenic (1) Apply RNAscope 2.0 HD Assay - Chromogenic filter
  • RNAscope 2.5 HD- Red (1) Apply RNAscope 2.5 HD- Red filter
  • RNAscope 2.5 LS Reagent Kits (1) Apply RNAscope 2.5 LS Reagent Kits filter
  • RNAScope HiPlex assay (1) Apply RNAScope HiPlex assay filter
  • RNAscope HiPlex Image Registration Software (1) Apply RNAscope HiPlex Image Registration Software filter
  • RNAscope LS Multiplex Fluorescent Assay (1) Apply RNAscope LS Multiplex Fluorescent Assay filter
  • RNAscope Multiplex Fluorescent Reagent Kit V3 (1) Apply RNAscope Multiplex Fluorescent Reagent Kit V3 filter
  • RNAscope Multiplex Fluorescent Reagent Kit v4 (1) Apply RNAscope Multiplex Fluorescent Reagent Kit v4 filter
  • RNAscope Multiplex Fluorescent v1 (1) Apply RNAscope Multiplex Fluorescent v1 filter
  • RNAscope Target Retrieval Reagents (1) Apply RNAscope Target Retrieval Reagents filter

Research area

  • Neuroscience (1849) Apply Neuroscience filter
  • Cancer (1385) Apply Cancer filter
  • Development (509) Apply Development filter
  • Inflammation (472) Apply Inflammation filter
  • Infectious Disease (410) Apply Infectious Disease filter
  • Other (406) Apply Other filter
  • Stem Cells (258) Apply Stem Cells filter
  • Covid (237) Apply Covid filter
  • Infectious (220) Apply Infectious filter
  • HPV (187) Apply HPV filter
  • lncRNA (135) Apply lncRNA filter
  • Metabolism (91) Apply Metabolism filter
  • Developmental (83) Apply Developmental filter
  • Stem cell (78) Apply Stem cell filter
  • Immunotherapy (72) Apply Immunotherapy filter
  • Other: Methods (67) Apply Other: Methods filter
  • HIV (64) Apply HIV filter
  • CGT (62) Apply CGT filter
  • Pain (62) Apply Pain filter
  • diabetes (57) Apply diabetes filter
  • LncRNAs (46) Apply LncRNAs filter
  • Aging (43) Apply Aging filter
  • Other: Heart (40) Apply Other: Heart filter
  • Reproduction (38) Apply Reproduction filter
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  • Obesity (29) Apply Obesity filter
  • Other: Lung (29) Apply Other: Lung filter
  • Behavior (27) Apply Behavior filter
  • Kidney (27) Apply Kidney filter
  • Other: Kidney (27) Apply Other: Kidney filter
  • Alzheimer's Disease (26) Apply Alzheimer's Disease filter
  • Bone (24) Apply Bone filter
  • Stress (21) Apply Stress filter
  • Other: Zoological Disease (20) Apply Other: Zoological Disease filter
  • Regeneration (20) Apply Regeneration filter
  • Skin (20) Apply Skin filter
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  • Liver (19) Apply Liver filter
  • Lung (19) Apply Lung filter
  • Fibrosis (17) Apply Fibrosis filter
  • Other: Liver (17) Apply Other: Liver filter
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  • behavioral (16) Apply behavioral filter
  • Other: Endocrinology (16) Apply Other: Endocrinology filter
  • Other: Skin (16) Apply Other: Skin filter
  • Injury (15) Apply Injury filter
  • Anxiety (14) Apply Anxiety filter
  • Memory (14) Apply Memory filter
  • Reproductive Biology (14) Apply Reproductive Biology filter

Product sub type

  • Target Probes (256571) Apply Target Probes filter
  • Control Probe - Automated Leica (409) Apply Control Probe - Automated Leica filter
  • Control Probe - Automated Leica Multiplex (284) Apply Control Probe - Automated Leica Multiplex filter
  • Control Probe - Automated Leica Duplex (168) Apply Control Probe - Automated Leica Duplex filter
  • Control Probe- Manual RNAscope Multiplex (148) Apply Control Probe- Manual RNAscope Multiplex filter
  • Control Probe - Automated Ventana (143) Apply Control Probe - Automated Ventana filter
  • Control Probe - Manual RNAscope Singleplex (142) Apply Control Probe - Manual RNAscope Singleplex filter
  • Control Probe - Manual RNAscope Duplex (137) Apply Control Probe - Manual RNAscope Duplex filter
  • Control Probe (73) Apply Control Probe filter
  • Control Probe - Manual BaseScope Singleplex (51) Apply Control Probe - Manual BaseScope Singleplex filter
  • Control Probe - VS BaseScope Singleplex (41) Apply Control Probe - VS BaseScope Singleplex filter
  • Control Probe - LS BaseScope Singleplex (40) Apply Control Probe - LS BaseScope Singleplex filter
  • L-HBsAG (15) Apply L-HBsAG filter
  • Cancer (13) Apply Cancer filter
  • Automated Assay 2.5: Leica System (8) Apply Automated Assay 2.5: Leica System filter
  • Control Probe- Manual BaseScope Duplex (8) Apply Control Probe- Manual BaseScope Duplex filter
  • 1765 (8) Apply 1765 filter
  • 1379 (8) Apply 1379 filter
  • 2184 (8) Apply 2184 filter
  • 38322 (8) Apply 38322 filter
  • Manual Assay 2.5: Pretreatment Reagents (5) Apply Manual Assay 2.5: Pretreatment Reagents filter
  • Controls: Manual Probes (5) Apply Controls: Manual Probes filter
  • Control Probe- Manual RNAscope HiPlex (5) Apply Control Probe- Manual RNAscope HiPlex filter
  • Manual Assay RNAscope Brown (4) Apply Manual Assay RNAscope Brown filter
  • Manual Assay RNAscope Duplex (4) Apply Manual Assay RNAscope Duplex filter
  • Manual Assay RNAscope Multiplex (4) Apply Manual Assay RNAscope Multiplex filter
  • Manual Assay BaseScope Red (4) Apply Manual Assay BaseScope Red filter
  • IA: Other (4) Apply IA: Other filter
  • Control Probe - Manual BaseScope Duplex (4) Apply Control Probe - Manual BaseScope Duplex filter
  • Manual Assay miRNAscope Red (4) Apply Manual Assay miRNAscope Red filter
  • Automated Assay 2.5: Ventana System (3) Apply Automated Assay 2.5: Ventana System filter
  • IA: Other Accessories (3) Apply IA: Other Accessories filter
  • Control Probe - Automated Ventana Duplex (3) Apply Control Probe - Automated Ventana Duplex filter
  • Manual Assay BaseScope Duplex (3) Apply Manual Assay BaseScope Duplex filter
  • Manual Assay RNAscope Red (2) Apply Manual Assay RNAscope Red filter
  • Controls: Control Slides (2) Apply Controls: Control Slides filter
  • Control Probe- Manual BaseScope Singleplex (2) Apply Control Probe- Manual BaseScope Singleplex filter
  • Control Probe - Manual BaseScope™Singleplex (2) Apply Control Probe - Manual BaseScope™Singleplex filter
  • Manual Assay: Accessory Reagent (1) Apply Manual Assay: Accessory Reagent filter
  • Accessory Reagent (1) Apply Accessory Reagent filter
  • Controls: Manual RNAscope Multiplex (1) Apply Controls: Manual RNAscope Multiplex filter
  • IA: HybEZ (1) Apply IA: HybEZ filter
  • Automated Assay BaseScope: LS (1) Apply Automated Assay BaseScope: LS filter
  • Automated Assay BaseScope: VS (1) Apply Automated Assay BaseScope: VS filter
  • Software: RNAscope HiPlex Image Registration (1) Apply Software: RNAscope HiPlex Image Registration filter
  • miRNAscope Automated Assay: Leica System (1) Apply miRNAscope Automated Assay: Leica System filter
  • Automated Assay: VS (1) Apply Automated Assay: VS filter
  • Control Probe - VS BaseScope™Singleplex (1) Apply Control Probe - VS BaseScope™Singleplex filter
  • Controls:2.5VS Probes (1) Apply Controls:2.5VS Probes filter
  • Control Probe - Manual RNAscope Multiplex (1) Apply Control Probe - Manual RNAscope Multiplex filter

Sample Compatibility

  • Cell pellets (49) Apply Cell pellets filter
  • FFPE (41) Apply FFPE filter
  • Fixed frozen tissue (31) Apply Fixed frozen tissue filter
  • TMA (31) Apply TMA filter
  • Adherent cells (26) Apply Adherent cells filter
  • Freshfrozen tissue (18) Apply Freshfrozen tissue filter
  • Fresh frozen tissue (13) Apply Fresh frozen tissue filter
  • Cell Cultures (12) Apply Cell Cultures filter
  • TMA(Tissue Microarray) (9) Apply TMA(Tissue Microarray) filter
  • FFPE,Freshfrozen tissue,Fixed frozen tissue,TMA,Cell pellets,Adherent cells (7) Apply FFPE,Freshfrozen tissue,Fixed frozen tissue,TMA,Cell pellets,Adherent cells filter
  • CTC (4) Apply CTC filter
  • PBMC's (4) Apply PBMC's filter
  • Adherent or Cultured Cells (1) Apply Adherent or Cultured Cells filter
  • Fixed frozen (1) Apply Fixed frozen filter
  • FFPE,TMA (1) Apply FFPE,TMA filter
  • Fixed frozen tissues (for chromogenic assays) (1) Apply Fixed frozen tissues (for chromogenic assays) filter

Category

  • Publications (7110) Apply Publications filter

Application

  • Cancer (138823) Apply Cancer filter
  • Neuroscience (50490) Apply Neuroscience filter
  • Cancer, Neuroscience (32227) Apply Cancer, Neuroscience filter
  • Non-coding RNA (24045) Apply Non-coding RNA filter
  • Cancer, Inflammation (16436) Apply Cancer, Inflammation filter
  • Cancer, Inflammation, Neuroscience (12591) Apply Cancer, Inflammation, Neuroscience filter
  • Inflammation (9807) Apply Inflammation filter
  • Cancer, Stem Cell (7932) Apply Cancer, Stem Cell filter
  • Cancer, Neuroscience, Stem Cell (7028) Apply Cancer, Neuroscience, Stem Cell filter
  • Cancer, Immunotherapy, Inflammation, Neuroscience, Stem Cell (6854) Apply Cancer, Immunotherapy, Inflammation, Neuroscience, Stem Cell filter
  • Cancer, Inflammation, Neuroscience, Stem Cell (5424) Apply Cancer, Inflammation, Neuroscience, Stem Cell filter
  • Immunotherapy (5296) Apply Immunotherapy filter
  • Cancer, Immunotherapy (3866) Apply Cancer, Immunotherapy filter
  • Stem Cell (3385) Apply Stem Cell filter
  • Cancer, Immunotherapy, Neuroscience, Stem Cell (3050) Apply Cancer, Immunotherapy, Neuroscience, Stem Cell filter
  • Cancer, Immunotherapy, Inflammation (2844) Apply Cancer, Immunotherapy, Inflammation filter
  • Cancer, Immunotherapy, Inflammation, Neuroscience (1878) Apply Cancer, Immunotherapy, Inflammation, Neuroscience filter
  • Cancer, Immunotherapy, Neuroscience (1786) Apply Cancer, Immunotherapy, Neuroscience filter
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Pan-cancer pervasive upregulation of 3' UTR splicing drives tumourigenesis

Nature cell biology

2022 May 26

Chan, JJ;Zhang, B;Chew, XH;Salhi, A;Kwok, ZH;Lim, CY;Desi, N;Subramaniam, N;Siemens, A;Kinanti, T;Ong, S;Sanchez-Mejias, A;Ly, PT;An, O;Sundar, R;Fan, X;Wang, S;Siew, BE;Lee, KC;Chong, CS;Lieske, B;Cheong, WK;Goh, Y;Fam, WN;Ooi, MG;Koh, BTH;Iyer, SG;Ling, WH;Chen, J;Yoong, BK;Chanwat, R;Bonney, GK;Goh, BKP;Zhai, W;Fullwood, MJ;Wang, W;Tan, KK;Chng, WJ;Dan, YY;Pitt, JJ;Roca, X;Guccione, E;Vardy, LA;Chen, L;Gao, X;Chow, PKH;Yang, H;Tay, Y;
PMID: 35618746 | DOI: 10.1038/s41556-022-00913-z

Most mammalian genes generate messenger RNAs with variable untranslated regions (UTRs) that are important post-transcriptional regulators. In cancer, shortening at 3' UTR ends via alternative polyadenylation can activate oncogenes. However, internal 3' UTR splicing remains poorly understood as splicing studies have traditionally focused on protein-coding alterations. Here we systematically map the pan-cancer landscape of 3' UTR splicing and present this in SpUR ( http://www.cbrc.kaust.edu.sa/spur/home/ ). 3' UTR splicing is widespread, upregulated in cancers, correlated with poor prognosis and more prevalent in oncogenes. We show that antisense oligonucleotide-mediated inhibition of 3' UTR splicing efficiently reduces oncogene expression and impedes tumour progression. Notably, CTNNB1 3' UTR splicing is the most consistently dysregulated event across cancers. We validate its upregulation in hepatocellular carcinoma and colon adenocarcinoma, and show that the spliced 3' UTR variant is the predominant contributor to its oncogenic functions. Overall, our study highlights the importance of 3' UTR splicing in cancer and may launch new avenues for RNA-based anti-cancer therapeutics.
Epicardium-derived cells organize through tight junctions to replenish cardiac muscle in salamanders

Nature cell biology

2022 May 01

Eroglu, E;Yen, CYT;Tsoi, YL;Witman, N;Elewa, A;Joven Araus, A;Wang, H;Szattler, T;Umeano, CH;Sohlmér, J;Goedel, A;Simon, A;Chien, KR;
PMID: 35550612 | DOI: 10.1038/s41556-022-00902-2

The contribution of the epicardium, the outermost layer of the heart, to cardiac regeneration has remained controversial due to a lack of suitable analytical tools. By combining genetic marker-independent lineage-tracing strategies with transcriptional profiling and loss-of-function methods, we report here that the epicardium of the highly regenerative salamander species Pleurodeles waltl has an intrinsic capacity to differentiate into cardiomyocytes. Following cryoinjury, CLDN6+ epicardium-derived cells appear at the lesion site, organize into honeycomb-like structures connected via focal tight junctions and undergo transcriptional reprogramming that results in concomitant differentiation into de novo cardiomyocytes. Ablation of CLDN6+ differentiation intermediates as well as disruption of their tight junctions impairs cardiac regeneration. Salamanders constitute the evolutionarily closest species to mammals with an extensive ability to regenerate heart muscle and our results highlight the epicardium and tight junctions as key targets in efforts to promote cardiac regeneration.
Best practice standards for circular RNA research

Nature methods

2022 May 26

Nielsen, AF;Bindereif, A;Bozzoni, I;Hanan, M;Hansen, TB;Irimia, M;Kadener, S;Kristensen, LS;Legnini, I;Morlando, M;Jarlstad Olesen, MT;Pasterkamp, RJ;Preibisch, S;Rajewsky, N;Suenkel, C;Kjems, J;
PMID: 35618955 | DOI: 10.1038/s41592-022-01487-2

Circular RNAs (circRNAs) are formed in all domains of life and via different mechanisms. There has been an explosion in the number of circRNA papers in recent years; however, as a relatively young field, circRNA biology has an urgent need for common experimental standards for isolating, analyzing, expressing and depleting circRNAs. Here we propose a set of guidelines for circRNA studies based on the authors' experience. This Perspective will specifically address the major class of circRNAs in Eukarya that are generated by a spliceosome-catalyzed back-splicing event. We hope that the implementation of best practice principles for circRNA research will help move the field forward and allow a better functional understanding of this fascinating group of RNAs.
Single-cell analysis identifies the interaction of altered renal tubules with basophils orchestrating kidney fibrosis

Nature immunology

2022 May 12

Doke, T;Abedini, A;Aldridge, DL;Yang, YW;Park, J;Hernandez, CM;Balzer, MS;Shrestra, R;Coppock, G;Rico, JMI;Han, SY;Kim, J;Xin, S;Piliponsky, AM;Angelozzi, M;Lefebvre, V;Siracusa, MC;Hunter, CA;Susztak, K;
PMID: 35552540 | DOI: 10.1038/s41590-022-01200-7

Inflammation is an important component of fibrosis but immune processes that orchestrate kidney fibrosis are not well understood. Here we apply single-cell sequencing to a mouse model of kidney fibrosis. We identify a subset of kidney tubule cells with a profibrotic-inflammatory phenotype characterized by the expression of cytokines and chemokines associated with immune cell recruitment. Receptor-ligand interaction analysis and experimental validation indicate that CXCL1 secreted by profibrotic tubules recruits CXCR2+ basophils. In mice, these basophils are an important source of interleukin-6 and recruitment of the TH17 subset of helper T cells. Genetic deletion or antibody-based depletion of basophils results in reduced renal fibrosis. Human kidney single-cell, bulk gene expression and immunostaining validate a function for basophils in patients with kidney fibrosis. Collectively, these studies identify basophils as contributors to the development of renal fibrosis and suggest that targeting these cells might be a useful clinical strategy to manage chronic kidney disease.
Trans-Seq maps a selective mammalian retinotectal synapse instructed by Nephronectin

Nature neuroscience

2022 May 01

Tsai, NY;Wang, F;Toma, K;Yin, C;Takatoh, J;Pai, EL;Wu, K;Matcham, AC;Yin, L;Dang, EJ;Marciano, DK;Rubenstein, JL;Wang, F;Ullian, EM;Duan, X;
PMID: 35524141 | DOI: 10.1038/s41593-022-01068-8

The mouse visual system serves as an accessible model to understand mammalian circuit wiring. Despite rich knowledge in retinal circuits, the long-range connectivity map from distinct retinal ganglion cell (RGC) types to diverse brain neuron types remains unknown. In this study, we developed an integrated approach, called Trans-Seq, to map RGCs to superior collicular (SC) circuits. Trans-Seq combines a fluorescent anterograde trans-synaptic tracer, consisting of codon-optimized wheat germ agglutinin fused to mCherry, with single-cell RNA sequencing. We used Trans-Seq to classify SC neuron types innervated by genetically defined RGC types and predicted a neuronal pair from αRGCs to Nephronectin-positive wide-field neurons (NPWFs). We validated this connection using genetic labeling, electrophysiology and retrograde tracing. We then used transcriptomic data from Trans-Seq to identify Nephronectin as a determinant for selective synaptic choice from αRGC to NPWFs via binding to Integrin α8β1. The Trans-Seq approach can be broadly applied for post-synaptic circuit discovery from genetically defined pre-synaptic neurons.
A D2 to D1 shift in dopaminergic inputs to midbrain 5-HT neurons causes anorexia in mice

Nature neuroscience

2022 May 01

Cai, X;Liu, H;Feng, B;Yu, M;He, Y;Liu, H;Liang, C;Yang, Y;Tu, L;Zhang, N;Wang, L;Yin, N;Han, J;Yan, Z;Wang, C;Xu, P;Wu, Q;Tong, Q;He, Y;Xu, Y;
PMID: 35501380 | DOI: 10.1038/s41593-022-01062-0

Midbrain dopamine (DA) and serotonin (5-HT) neurons regulate motivated behaviors, including feeding, but less is known about how these circuits may interact. In this study, we found that DA neurons in the mouse ventral tegmental area bidirectionally regulate the activity of 5-HT neurons in the dorsal raphe nucleus (DRN), with weaker stimulation causing DRD2-dependent inhibition and overeating, while stronger stimulation causing DRD1-dependent activation and anorexia. Furthermore, in the activity-based anorexia (ABA) paradigm, which is a mouse model mimicking some clinical features of human anorexia nervosa (AN), we observed a DRD2 to DRD1 shift of DA neurotransmission on 5-HTDRN neurons, which causes constant activation of these neurons and contributes to AN-like behaviors. Finally, we found that systemic administration of a DRD1 antagonist can prevent anorexia and weight loss in ABA. Our results revealed regulation of feeding behavior by stimulation strength-dependent interactions between DA and 5-HT neurons, which may contribute to the pathophysiology of AN.
PDGFRα-induced stromal maturation is required to restrain postnatal intestinal epithelial stemness and promote defense mechanisms

Cell stem cell

2022 May 05

Jacob, JM;Di Carlo, SE;Stzepourginski, I;Lepelletier, A;Ndiaye, PD;Varet, H;Legendre, R;Kornobis, E;Benabid, A;Nigro, G;Peduto, L;
PMID: 35523143 | DOI: 10.1016/j.stem.2022.04.005

After birth, the intestine undergoes major changes to shift from an immature proliferative state to a functional intestinal barrier. By combining inducible lineage tracing and transcriptomics in mouse models, we identify a prodifferentiation PDGFRαHigh intestinal stromal lineage originating from postnatal LTβR+ perivascular stromal progenitors. The genetic blockage of this lineage increased the intestinal stem cell pool while decreasing epithelial and immune maturation at weaning age, leading to reduced postnatal growth and dysregulated repair responses. Ablating PDGFRα in the LTBR stromal lineage demonstrates that PDGFRα has a major impact on the lineage fate and function, inducing a transcriptomic switch from prostemness genes, such as Rspo3 and Grem1, to prodifferentiation factors, including BMPs, retinoic acid, and laminins, and on spatial organization within the crypt-villus and repair responses. Our results show that the PDGFRα-induced transcriptomic switch in intestinal stromal cells is required in the first weeks after birth to coordinate postnatal intestinal maturation and function.
Y-Chromosome Gene, Uty, Protects Against Pulmonary Hypertension by Reducing Proinflammatory Chemokines

American journal of respiratory and critical care medicine

2022 May 03

Cunningham, CM;Li, M;Ruffenach, G;Doshi, M;Aryan, L;Hong, J;Park, J;Hrncir, H;Medzikovic, L;Umar, S;Arnold, AP;Eghbali, M;
PMID: 35504005 | DOI: 10.1164/rccm.202110-2309OC

Idiopathic pulmonary arterial hypertension (PAH) is a terminal pulmonary vascular disease characterized by increased pressure, right ventricular failure and death. PAH exhibits a striking sex bias and is up to 4x more prevalent in females. Understanding the molecular basis behind sex differences could help uncover novel therapies.We previously discovered the Y-Chromosome is protective against hypoxia-induced experimental PH which may contribute to sex differences in PAH. Here, we identify the gene responsible for Y-Chromosome protection, investigate key downstream autosomal genes, and demonstrate a novel preclinical therapy. Methods, Measurements and Main Results: To test the effect of Y-Chromosome genes on PH development, we knocked down each Y-Chromosome gene expressed in the lung via intratracheal instillation of siRNA in gonadectomized male mice exposed to hypoxia. Knockdown of Y-Chromosome gene Uty resulted in more severe PH measured by increased right ventricular pressure and decreased pulmonary artery acceleration time. RNA-sequencing revealed an increase in proinflammatory chemokines Cxcl9 and Cxcl10 as a result of Uty knockdown. We found CXCL9 and CXCL10 significantly upregulated in human PAH lungs, with more robust upregulation in PAH females. Treatment of human pulmonary artery endothelial cells with CXCL9 and CXCL10 triggered apoptosis. Inhibition of CXCL9 and CXCL10 expression in male Uty knockout mice and CXCL9 and CXCL10 activity in female rats significantly reduced PH severity.Uty, is protective against PH. Reduction of Uty expression results in increased expression of proinflammatory chemokines CXCL9 and CXCL10 which trigger endothelial cell death and PH. Inhibition of Cxcl9 and Cxcl10 rescues PH development in multiple experimental models.
Recombinant Human Collagen Hydrogel Rapidly Reduces Methylglyoxal Adducts within Cardiomyocytes and Improves Borderzone Contractility after Myocardial Infarction in Mice

Advanced Functional Materials

2022 May 24

McLaughlin, S;Sedlakova, V;Zhang, Q;McNeill, B;Smyth, D;Seymour, R;Davis, D;Ruel, M;Brand, M;Alarcon, E;Suuronen, E;
| DOI: 10.1002/adfm.202204076

Methylglyoxal (MG) production after myocardial infarction (MI) leads to advanced glycation end-product formation, adverse remodeling, and loss of cardiac function. The extracellular matrix (ECM) is a main target for MG glycation. This suggests that ECM-mimicking biomaterial therapies may protect the post-MI environment by removing MG. In this study, mechanisms by which a recombinant human collagen type I hydrogel therapy confers cardioprotection are investigated. One-week post-MI, mice receive intramyocardial injection of hydrogel or PBS. The hydrogel improves border zone contractility after 2 days, which is maintained for 28 days. RNA sequencing shows that hydrogel treatment decreases the expression of erythroid differentiation regulator 1, a factor associated with apoptosis. Hydrogel treatment reduces cardiomyocyte apoptosis and oxidative stress at 2 days with greater myocardial salvage seen at 28 days. The hydrogel located at the epicardial surface is modified by MG, and less MG-modified proteins are observed in the underlying myocardium of hydrogel-treated mice. Biomaterials that can be a target for MG glycation may act as a sponge to remove MG from the myocardium post-MI. This leads to less oxidative stress, greater survival and contractility of cardiomyocytes, which altogether suggests a novel mechanism by which biomaterials improve function of the infarcted heart.
Localization of a TORC1-eIF4F translation complex during CD8+ T cell activation drives divergent cell fate

Molecular cell

2022 May 05

Liedmann, S;Liu, X;Guy, CS;Crawford, JC;Rodriguez, DA;Kuzuoğlu-Öztürk, D;Guo, A;Verbist, KC;Temirov, J;Chen, MJ;Ruggero, D;Zhang, H;Thomas, PG;Green, DR;
PMID: 35597236 | DOI: 10.1016/j.molcel.2022.04.016

Activated CD8+ T lymphocytes differentiate into heterogeneous subsets. Using super-resolution imaging, we found that prior to the first division, dynein-dependent vesicular transport polarized active TORC1 toward the microtubule-organizing center (MTOC) at the proximal pole. This active TORC1 was physically associated with active eIF4F, required for the translation of c-myc mRNA. As a consequence, c-myc-translating polysomes polarized toward the cellular pole proximal to the immune synapse, resulting in localized c-myc translation. Upon division, the TORC1-eIF4A complex preferentially sorted to the proximal daughter cell, facilitating asymmetric c-Myc synthesis. Transient disruption of eIF4A activity at first division skewed long-term cell fate trajectories to memory-like function. Using a genetic barcoding approach, we found that first-division sister cells often displayed differences in transcriptional profiles that largely correlated with c-Myc and TORC1 target genes. Our findings provide mechanistic insights as to how distinct T cell fate trajectories can be established during the first division.
Transcription activation is enhanced by multivalent interactions independent of phase separation

Molecular cell

2022 May 19

Trojanowski, J;Frank, L;Rademacher, A;Mücke, N;Grigaitis, P;Rippe, K;
PMID: 35537448 | DOI: 10.1016/j.molcel.2022.04.017

Transcription factors (TFs) consist of a DNA-binding domain and an activation domain (AD) that are frequently considered to be independent and exchangeable modules. However, recent studies report that the physicochemical properties of the AD can control TF assembly at chromatin by driving phase separation into transcriptional condensates. Here, we dissected transcription activation by comparing different synthetic TFs at a reporter gene array with real-time single-cell fluorescence microscopy. In these experiments, binding site occupancy, residence time, and coactivator recruitment in relation to multivalent TF interactions were compared. While phase separation propensity and activation strength of the AD were linked, the actual formation of liquid-like TF droplets had a neutral or inhibitory effect on transcription activation. We conclude that multivalent AD-mediated interactions enhance the transcription activation capacity of a TF by increasing its residence time in the chromatin-bound state and facilitating the recruitment of coactivators independent of phase separation.
BMP signaling in the intestinal epithelium drives a critical feedback loop to restrain IL-13-driven tuft cell hyperplasia

Science immunology

2022 May 13

Lindholm, HT;Parmar, N;Drurey, C;Campillo Poveda, M;Vornewald, PM;Ostrop, J;Díez-Sanchez, A;Maizels, RM;Oudhoff, MJ;
PMID: 35559665 | DOI: 10.1126/sciimmunol.abl6543

The intestinal tract is a common site for various types of infections including viruses, bacteria, and helminths, each requiring specific modes of immune defense. The intestinal epithelium has a pivotal role in both immune initiation and effector stages, which are coordinated by lymphocyte cytokines such as IFNγ, IL-13, and IL-22. Here, we studied intestinal epithelial immune responses using organoid image analysis based on a convolutional neural network, transcriptomic analysis, and in vivo infection models. We found that IL-13 and IL-22 both induce genes associated with goblet cells, but the resulting goblet cell phenotypes are dichotomous. Moreover, only IL-13-driven goblet cells are associated with classical NOTCH signaling. We further showed that IL-13 induces the bone morphogenetic protein (BMP) pathway, which acts in a negative feedback loop on immune type 2-driven tuft cell hyperplasia. This is associated with inhibiting Sox4 expression to putatively limit the tuft cell progenitor population. Blocking ALK2, a BMP receptor, with the inhibitor dorsomorphin homolog 1 (DMH1) interrupted the feedback loop, resulting in greater tuft cell numbers both in vitro and in vivo after infection with Nippostrongylus brasiliensis. Together, this investigation of cytokine effector responses revealed an unexpected and critical role for the BMP pathway in regulating type 2 immunity, which can be exploited to tailor epithelial immune responses.

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Description
sense
Example: Hs-LAG3-sense
Standard probes for RNA detection are in antisense. Sense probe is reverse complent to the corresponding antisense probe.
Intron#
Example: Mm-Htt-intron2
Probe targets the indicated intron in the target gene, commonly used for pre-mRNA detection
Pool/Pan
Example: Hs-CD3-pool (Hs-CD3D, Hs-CD3E, Hs-CD3G)
A mixture of multiple probe sets targeting multiple genes or transcripts
No-XSp
Example: Hs-PDGFB-No-XMm
Does not cross detect with the species (Sp)
XSp
Example: Rn-Pde9a-XMm
designed to cross detect with the species (Sp)
O#
Example: Mm-Islr-O1
Alternative design targeting different regions of the same transcript or isoforms
CDS
Example: Hs-SLC31A-CDS
Probe targets the protein-coding sequence only
EnEmProbe targets exons n and m
En-EmProbe targets region from exon n to exon m
Retired Nomenclature
tvn
Example: Hs-LEPR-tv1
Designed to target transcript variant n
ORF
Example: Hs-ACVRL1-ORF
Probe targets open reading frame
UTR
Example: Hs-HTT-UTR-C3
Probe targets the untranslated region (non-protein-coding region) only
5UTR
Example: Hs-GNRHR-5UTR
Probe targets the 5' untranslated region only
3UTR
Example: Rn-Npy1r-3UTR
Probe targets the 3' untranslated region only
Pan
Example: Pool
A mixture of multiple probe sets targeting multiple genes or transcripts

Enabling research, drug development (CDx) and diagnostics

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