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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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Partially closed angle glaucoma model exhibits altered conventional pathway with a preserved uveoscleral pathway

Investigative Ophthalmology & Visual Science

2022 Jan 01

Dham, J;Taiyab, A;Shirazee, F;Borras, T;

METHODS : _MgpCre+/-_ mice were bred with _tfap2b+/-_ mice. Male _MgpCre+/-;tfap2b+/- _offspring were then crossed with female _tfap2blox/lox_ mice to obtain the final offspring, the _MgpCre+/-;tfap2b-/lox_ or AP-2β trabecular meshwork region knockout (TMR-KO) mice, as well as littermate controls. A 40 kDA FITC-conjugated dextran tracer was injected into the anterior segment of mutant and control mice. 0.005% LTP eye drops were used for topical treatment of the eye. The mice were euthanized 10 minutes after injection and eyes were enucleated, fixed, and cryosectioned. RNAscope Hiplex Assay was performed to determine changes in key genes in the mutants that are critical for proper functioning of TM and SC.
Single cell RNA sequencing reveals the role of Myelin regulatory factor (MYRF) in regulating melanogenesis and cell structure during retinal pigment epithelial development.

Investigative Ophthalmology & Visual Science

2022 Jan 01

Prasov, L;Brinkmeier, ML;Wang, SQ;

RESULTS : Cell clustering revealed that Myrf deficiency altered cell type distributions with reductions in RPE cells at all timepoints. Cell cycle dynamics were stable, consistent with increased cell death in mutants. There was also a compensatory increase in retinal progenitor (RPC) population at P0, without alteration in overall cell cycle dynamics. Differential gene expression analysis and PANTHER gene ontology-term analysis revealed down regulation of key pathways in mutant RPE cells, including melanosome biogenesis, cytoskeleton, and extracellular matrix. EM analysis and immunofluorescence staining of RPE flatmounts confirmed structural defects in RPE and disorganization of photoreceptor outer segments, loss of melanosomes, and alterations in novel structural proteins in the apical RPE. Compensatory upgregulation of _Prss56_, another gene implicated in nanophthalmos, was found in the RPC population.
Role of Müller cell retinoic acid signaling in blood-retinal barrier maintenance

Investigative Ophthalmology & Visual Science

2022 Jan 01

Pollock, L;Xie, J;Anand-Apte, B;

METHODS : To visualize the BRB _in vivo, _we utilized the transgenic _Tg(l-fabp:DBP-EGFP) _zebrafish model that expresses vitamin D binding protein (a member of the albumin gene family) tagged to GFP. This model displays the integrity of the BRB with GFP-tagged protein localized within the retinal vasculature by 3 days post-fertilization. Breakdown of the BRB is visualized as “leaking” of GFP outside the vasculature. To disrupt RA signaling, zebrafish embryos, larvae, and adults were treated with varying concentrations of DEAB and BMS493, antagonists of retinal dehydrogenase and the RA receptor, respectively. To visualize the Müller cells and endothelial cells, _gfap:GFP_ and _kdrl:GFP_ transgenic fish were used, respectively. RNAScope analysis was used to detect and quantify the expression of _cyp26a1 _in retinas of zebrafish at different developmental stages.
Differential expression of complement genes in mammalian eyes

Investigative Ophthalmology & Visual Science

2022 Jan 01

Yang, H;Yuan, M;Gaurang, P;Sun, A;

RESULTS : In rodent eye (both rat and mouse), CFH mRNA is strongly expressed in the retinal pigment epithelium with some expression also found in inner nuclear (INL) and retinal ganglion cell (RGC) layers of the retina. C3 mRNA is expressed mainly in RGC, INL of retina, ciliary body, corneal epithelium with some expression is also found in rodent retinal pigment epithelium layer. However, in human eye, CFH and C3 mRNA are strongly expressed in the choroid. Some expression is also found in RGC, INL layer of retina, ONH, sclera, cornea endothelial and stroma; and ciliary body. There is no C3 or CFH signal detected in RPE cells.
STK-002, an Antisense Oligonucleotide (ASO) for the Treatment of Autosomal Dominant Optic Atrophy (ADOA), is Taken Up by Retinal Ganglion Cells (RGC) and Upregulates OPA-1 Protein Expression After Intravitreal Administration to Non-human Primates (NHPs)

Investigative Ophthalmology & Visual Science

2022 Jan 01

Anderson, K;Venkatesh, A;McKenty, T;

Purpose : ADOA is the most common inherited optic neuropathy, starting in the first decade of life and resulting in severe and progressive visual decline due to loss of RGCs. Most patients harbor loss-of-function mutations in the OPA1 gene that lead to haploinsufficiency. Reduced OPA1 protein levels result in impaired mitochondrial function in RGCs leading to cell death. Currently, there is no treatment for patients with ADOA. Targeted Augmentation of Nuclear Gene Output (TANGO) ASOs, such as STK-002, reduce the inclusion of a non-productive, alternatively spliced exon in OPA1, and leverage the wild-type allele to increase productive OPA1 mRNA and protein. We previously demonstrated that TANGO ASOs can increase OPA1 protein levels in human cell lines, rabbit retina, and ADOA patient fibroblasts. In this study, we evaluated ASO localization and OPA1 protein levels in the retina following intravitreal administration of STK-002 to NHPs. Methods : Cynomolgus monkeys (N=22) received bilateral intravitreal injections of vehicle or STK-002. Eyes were collected at 4 or 8 weeks after injection. Retinas were isolated for molecular analyses and whole globes were prepared for histology. Retinal OPA1 mRNA and protein were measured using qPCR (Taqman) and enzyme-linked immunosorbent assay (ELISA), respectively. A hybridization ELISA (HELISA) method was used to quantitate STK-002 levels in retina. Whole globes were sent for custom assay development and detection of STK-002 by miRNAscope™ in situ hybridization (ISH), and detection of OPA1 protein by immunofluorescence (IF). Results : Retinal exposure of STK-002 increased in a dose-dependent manner and remained high at the last timepoint evaluated (Week 8). STK-002 also dose-dependently increased protein levels at Week 4, ranging from 31 to 47% compared to vehicle, and levels were maintained at Week 8. ISH and IF analysis demonstrated that both STK-002 and OPA1 protein levels increased in RGCs, the target cells for ADOA. Conclusions : STK-002 produced a dose-dependent and persistent increase in OPA1 protein expression in the retinas of NHPs. ASO-induced increase in OPA1 protein levels in RGCs represents a potentially disease-modifying therapy for patients with ADOA.
Divergent transcriptional regulation of astrocyte reactivity across disorders

Nature

2022 May 25

Burda, JE;O'Shea, TM;Ao, Y;Suresh, KB;Wang, S;Bernstein, AM;Chandra, A;Deverasetty, S;Kawaguchi, R;Kim, JH;McCallum, S;Rogers, A;Wahane, S;Sofroniew, MV;
PMID: 35614216 | DOI: 10.1038/s41586-022-04739-5

Astrocytes respond to injury and disease in the central nervous system with reactive changes that influence the outcome of the disorder1-4. These changes include differentially expressed genes (DEGs) whose contextual diversity and regulation are poorly understood. Here we combined biological and informatic analyses, including RNA sequencing, protein detection, assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) and conditional gene deletion, to predict transcriptional regulators that differentially control more than 12,000 DEGs that are potentially associated with astrocyte reactivity across diverse central nervous system disorders in mice and humans. DEGs associated with astrocyte reactivity exhibited pronounced heterogeneity across disorders. Transcriptional regulators also exhibited disorder-specific differences, but a core group of 61 transcriptional regulators was identified as common across multiple disorders in both species. We show experimentally that DEG diversity is determined by combinatorial, context-specific interactions between transcriptional regulators. Notably, the same reactivity transcriptional regulators can regulate markedly different DEG cohorts in different disorders; changes in the access of transcriptional regulators to DNA-binding motifs differ markedly across disorders; and DEG changes can crucially require multiple reactivity transcriptional regulators. We show that, by modulating reactivity, transcriptional regulators can substantially alter disorder outcome, implicating them as therapeutic targets. We provide searchable resources of disorder-related reactive astrocyte DEGs and their predicted transcriptional regulators. Our findings show that transcriptional changes associated with astrocyte reactivity are highly heterogeneous and are customized from vast numbers of potential DEGs through context-specific combinatorial transcriptional-regulator interactions.
OCA-T1 and OCA-T2 are coactivators of POU2F3 in the tuft cell lineage

Nature

2022 May 16

Wu, XS;He, XY;Ipsaro, JJ;Huang, YH;Preall, JB;Ng, D;Shue, YT;Sage, J;Egeblad, M;Joshua-Tor, L;Vakoc, CR;
PMID: 35576971 | DOI: 10.1038/s41586-022-04842-7

Tuft cells are a rare chemosensory lineage that coordinates immune and neural responses to foreign pathogens in mucosal tissues1. Recent studies have also revealed tuft cell-like human tumors2,3, particularly as a variant form of small cell lung cancer (SCLC). Both normal and neoplastic tuft cells share a genetic requirement for the transcription factor POU2F32,4, although the transcriptional mechanisms that generate this cell type are poorly understood. Here we show that binding of POU2F3 to the uncharacterized proteins C11orf53 and COLCA2 (renamed here OCA-T1 and OCA-T2, respectively) is critical in the tuft cell lineage. OCA-T1 and OCA-T2 are paralogs of the B cell-specific coactivator OCA-B, which are encoded in a gene cluster and harbor a conserved peptide that binds to class II POU transcription factors and octamer motif DNA in a bivalent manner. We demonstrate that binding between POU2F3 and OCA-T1 or OCA-T2 is essential in tuft cell-like SCLC. In addition, we generated OCA-T1 knockout mice, which are viable but lack tuft cells in several mucosal tissues. These findings reveal the POU2F3-OCA-T complex as the master regulator of tuft cell identity and a prominent molecular vulnerability of tuft cell-like SCLC.
Transcriptomic mapping uncovers Purkinje neuron plasticity driving learning

Nature

2022 May 01

Chen, X;Du, Y;Broussard, GJ;Kislin, M;Yuede, CM;Zhang, S;Dietmann, S;Gabel, H;Zhao, G;Wang, SS;Zhang, X;Bonni, A;
PMID: 35545673 | DOI: 10.1038/s41586-022-04711-3

Cellular diversification is critical for specialized functions of the brain including learning and memory1. Single-cell RNA sequencing facilitates transcriptomic profiling of distinct major types of neuron2-4, but the divergence of transcriptomic profiles within a neuronal population and their link to function remain poorly understood. Here we isolate nuclei tagged5 in specific cell types followed by single-nucleus RNA sequencing to profile Purkinje neurons and map their responses to motor activity and learning. We find that two major subpopulations of Purkinje neurons, identified by expression of the genes Aldoc and Plcb4, bear distinct transcriptomic features. Plcb4+, but not Aldoc+, Purkinje neurons exhibit robust plasticity of gene expression in mice subjected to sensorimotor and learning experience. In vivo calcium imaging and optogenetic perturbation reveal that Plcb4+ Purkinje neurons have a crucial role in associative learning. Integrating single-nucleus RNA sequencing datasets with weighted gene co-expression network analysis uncovers a learning gene module that includes components of FGFR2 signalling in Plcb4+ Purkinje neurons. Knockout of Fgfr2 in Plcb4+ Purkinje neurons in mice using CRISPR disrupts motor learning. Our findings define how diversification of Purkinje neurons is linked to their responses in motor learning and provide a foundation for understanding their differential vulnerability to neurological disorders.
Olfactory sensory experience regulates gliomagenesis via neuronal IGF1

Nature

2022 May 11

Chen, P;Wang, W;Liu, R;Lyu, J;Zhang, L;Li, B;Qiu, B;Tian, A;Jiang, W;Ying, H;Jing, R;Wang, Q;Zhu, K;Bai, R;Zeng, L;Duan, S;Liu, C;
PMID: 35545672 | DOI: 10.1038/s41586-022-04719-9

Animals constantly receive various sensory stimuli, such as odours, sounds, light and touch, from the surrounding environment. These sensory inputs are essential for animals to search for food and avoid predators, but they also affect their physiological status, and may cause diseases such as cancer. Malignant gliomas-the most lethal form of brain tumour1-are known to intimately communicate with neurons at the cellular level2,3. However, it remains unclear whether external sensory stimuli can directly affect the development of malignant glioma under normal living conditions. Here we show that olfaction can directly regulate gliomagenesis. In an autochthonous mouse model that recapitulates adult gliomagenesis4-6 originating in oligodendrocyte precursor cells (OPCs), gliomas preferentially emerge in the olfactory bulb-the first relay of brain olfactory circuitry. Manipulating the activity of olfactory receptor neurons (ORNs) affects the development of glioma. Mechanistically, olfaction excites mitral and tufted (M/T) cells, which receive sensory information from ORNs and release insulin-like growth factor 1 (IGF1) in an activity-dependent manner. Specific knockout of Igf1 in M/T cells suppresses gliomagenesis. In addition, knocking out the IGF1 receptor in pre-cancerous mutant OPCs abolishes the ORN-activity-dependent mitogenic effects. Our findings establish a link between sensory experience and gliomagenesis through their corresponding sensory neuronal circuits.
Tbx2 is a master regulator of inner versus outer hair cell differentiation

Nature

2022 May 01

García-Añoveros, J;Clancy, JC;Foo, CZ;García-Gómez, I;Zhou, Y;Homma, K;Cheatham, MA;Duggan, A;
PMID: 35508658 | DOI: 10.1038/s41586-022-04668-3

The cochlea uses two types of mechanosensory cell to detect sounds. A single row of inner hair cells (IHCs) synapse onto neurons to transmit sensory information to the brain, and three rows of outer hair cells (OHCs) selectively amplify auditory inputs1. So far, two transcription factors have been implicated in the specific differentiation of OHCs, whereas, to our knowledge, none has been identified in the differentiation of IHCs2-4. One such transcription factor for OHCs, INSM1, acts during a crucial embryonic period to consolidate the OHC fate, preventing OHCs from transdifferentiating into IHCs2. In the absence of INSM1, embryonic OHCs misexpress a core set of IHC-specific genes, which we predict are involved in IHC differentiation. Here we find that one of these genes, Tbx2, is a master regulator of IHC versus OHC differentiation in mice. Ablation of Tbx2 in embryonic IHCs results in their development as OHCs, expressing early OHC markers such as Insm1 and eventually becoming completely mature OHCs in the position of IHCs. Furthermore, Tbx2 is epistatic to Insm1: in the absence of both genes, cochleae generate only OHCs, which suggests that TBX2 is necessary for the abnormal transdifferentiation of INSM1-deficient OHCs into IHCs, as well as for normal IHC differentiation. Ablation of Tbx2 in postnatal, largely differentiated IHCs makes them transdifferentiate directly into OHCs, replacing IHC features with those of mature and not embryonic OHCs. Finally, ectopic expression of Tbx2 in OHCs results in their transdifferentiation into IHCs. Hence, Tbx2 is both necessary and sufficient to make IHCs distinct from OHCs and maintain this difference throughout development.
Molecular and neural basis of pleasant touch sensation

Science (New York, N.Y.)

2022 Apr 29

Liu, B;Qiao, L;Liu, K;Liu, J;Piccinni-Ash, TJ;Chen, ZF;
PMID: 35482870 | DOI: 10.1126/science.abn2479

Pleasant touch provides emotional and psychological support that helps mitigate social isolation and stress. However, the underlying mechanisms remain poorly understood. Using a pleasant touch-conditioned place preference (PT-CPP) test, we show that genetic ablation of spinal excitatory interneurons expressing prokineticin receptor 2 (PROKR2), or its ligand PROK2 in sensory neurons, abolishes PT-CPP without impairing pain and itch behaviors in mice. Mutant mice display profound impairments in stress response and prosocial behaviors. Moreover, PROKR2 neurons respond most vigorously to gentle stroking and encode reward value. Collectively, we identify PROK2 as a long-sought neuropeptide that encodes and transmits pleasant touch to spinal PROKR2 neurons. These findings may have important implications for elucidating mechanisms by which pleasant touch deprivation contributes to social avoidance behavior and mental disorders.
Prognostic stratification of HPV associated oropharyngeal cancer based on CD103+ immune cell abundance in patients treated on TROG 12.01 and De-ESCALaTE randomised trials

Annals of oncology : official journal of the European Society for Medical Oncology

2022 May 04

Rischin, D;Mehanna, H;Young, RJ;Bressel, M;Dunn, J;Corry, J;Soni, P;Fulton-Lieuw, T;Iqbal, G;Kenny, L;Porceddu, S;Wratten, C;Robinson, M;Solomon, BJ;Trans-Tasman Radiation Oncology Group and the De-ESCALaTE HPV Trial Group, ;
PMID: 35525376 | DOI: 10.1016/j.annonc.2022.04.074

High CD103+ intratumoral immune cell (ITIC) abundance is associated with better prognosis in unselected patients with human papilloma virus associated oropharyngeal squamous cell carcinoma(HPV-associated OPSCC) treated with cisplatin and radiotherapy(CIS/RT). Substituting cetuximab(CETUX) for CIS with RT in HPV-associated OPSCC resulted in inferior efficacy. Our aim was to determine if quantification of ITIC CD103 could be used to identify a population of HPV-associated OPSCC with superior prognosis.We pooled data from the TROG 12.01 and De-ESCALaTE randomised trials that compared CETUX/70GyRT with CIS/70GyRT in low risk HPV-associated OPSCC: AJCC 7th Stage III (excluding T1-2N1) or stage IV (excluding N2b-c if smoking history >10 pack years and/or distant metastases), including all patients with available tumor samples. The primary endpoint was failure-free survival (FFS) in patients receiving CETUX/ RT comparing CD103+ ITIC high (>30%) versus low (<30%). High/low CD103 were compared using Cox regression adjusting for age, stage and trial.Tumor samples were available in 159/182 patients on TROG 12.01 and 145/334 on De-ESCALaTE. CD103+ ITIC abundance was high in 27% of patients. The median follow-up was 3.2 years. The 3-year FFS in patients treated with CETUX/RT were 93% (95% CI: 79-98%) in high CD103 and 74% (95% CI: 63-81%) in low CD103, adjusted HR 0.22 (95% CI: 0.12-0.41); p<0.001. The 3-year overall survival in patients treated with CETUX/RT was 100% in high CD103 and 86% (95% CI: 76-92%) in low CD103, p<0.001. In patients treated with CIS/RT there was no significant difference in FFS.CD103+ ITIC expression separates CETUX/RT treated low risk HPV-associated OPSCC into excellent and poor prognosis subgroups. The high CD103 population is a rational target for de-intensification trials.

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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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