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Probes for INS

ACD can configure probes for the various manual and automated assays for INS for RNAscope Assay, or for Basescope Assay compatible for your species of interest.

  • Probes for INS (0)
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Human Adult Fibroblast-like Synoviocytes and Articular Chondrocytes Exhibit Prominent Overlap in Their Transcriptomic Signatures

ACR open rheumatology

2021 May 01

Jones, K;Angelozzi, M;Gangishetti, U;Haseeb, A;de Charleroy, C;Lefebvre, V;Bhattaram, P;
PMID: 33931959 | DOI: 10.1002/acr2.11255

Fibroblast-like synoviocytes (FLS) and articular chondrocytes (AC) derive from a common pool of embryonic precursor cells. They are currently believed to engage in largely distinct differentiation programs to build synovium and articular cartilage and maintain healthy tissues throughout life. We tested this hypothesis by deeply characterizing and comparing their transcriptomic attributes. We profiled the transcriptomes of freshly isolated AC, synovium, primary FLS, and dermal fibroblasts from healthy adult humans using bulk RNA sequencing assays and downloaded published single-cell RNA sequencing data from freshly isolated human FLS. We integrated all data to define cell-specific signatures and validated findings with quantitative reverse transcription PCR of human samples and RNA hybridization of mouse joint sections. We identified 212 AC and 168 FLS markers on the basis of exclusive or enriched expression in either cell and 294 AC/FLS markers on the basis of similar expression in both cells. AC markers included joint-specific and pan-cartilaginous genes. FLS and AC/FLS markers featured 37 and 55 joint-specific genes, respectively, and 131 and 239 pan-fibroblastic genes, respectively. These signatures included many previously unrecognized markers with potentially important joint-specific roles. AC/FLS markers overlapped in their expression patterns among all FLS and AC subpopulations, suggesting that they fulfill joint-specific properties in all, rather than in discrete, AC and FLS subpopulations. This study broadens knowledge and identifies a prominent overlap of the human adult AC and FLS transcriptomic signatures. It also provides data resources to help further decipher mechanisms underlying joint homeostasis and degeneration and to improve the quality control of tissues engineered for regenerative treatments.
Tracing the origin of hair follicle stem cells

Nature

2021 Jun 01

Morita, R;Sanzen, N;Sasaki, H;Hayashi, T;Umeda, M;Yoshimura, M;Yamamoto, T;Shibata, T;Abe, T;Kiyonari, H;Furuta, Y;Nikaido, I;Fujiwara, H;
PMID: 34108685 | DOI: 10.1038/s41586-021-03638-5

Tissue stem cells are generated from a population of embryonic progenitors through organ-specific morphogenetic events1,2. Although tissue stem cells are central to organ homeostasis and regeneration, it remains unclear how they are induced during development, mainly because of the lack of markers that exclusively label prospective stem cells. Here we combine marker-independent long-term 3D live imaging and single-cell transcriptomics to capture a dynamic lineage progression and transcriptome changes in the entire epithelium of the mouse hair follicle as it develops. We found that the precursors of different epithelial lineages were aligned in a 2D concentric manner in the basal layer of the hair placode. Each concentric ring acquired unique transcriptomes and extended to form longitudinally aligned, 3D cylindrical compartments. Prospective bulge stem cells were derived from the peripheral ring of the placode basal layer, but not from suprabasal cells (as was previously suggested3). The fate of placode cells is determined by the cell position, rather than by the orientation of cell division. We also identified 13 gene clusters: the ensemble expression dynamics of these clusters drew the entire transcriptional landscape of epithelial lineage diversification, consistent with cell lineage data. Combining these findings with previous work on the development of appendages in insects4,5, we describe the 'telescope model', a generalized model for the development of ectodermal organs in which 2D concentric zones in the placode telescope out to form 3D longitudinally aligned cylindrical compartments.
Unveiling Complexity and Multipotentiality of Early Heart Fields

Circulation research

2021 Jun 24

Zhang, Q;Carlin, D;Zhu, F;Cattaneo, P;Ideker, T;Evans, SM;Bloomekatz, J;Chi, NC;
PMID: 34162224 | DOI: 10.1161/CIRCRESAHA.121.318943

Rationale: Extraembryonic tissues, including the yolk sac and placenta, and the heart within the embryo, work to provide crucial nutrients to the embryo. The association of congenital heart defects (CHDs) with extraembryonic tissue defects further supports the potential developmental relationship between the heart and extraembryonic tissues. Although the development of early cardiac lineages has been well-studied, the developmental relationship between cardiac lineages, including epicardium, and extraembryonic mesoderm remains to be defined. Objective: To explore the developmental relationships between cardiac and extraembryonic lineages. Methods and Results: Through high-resolution single cell and genetic lineage/clonal analyses, we show an unsuspected clonal relationship between extraembryonic mesoderm and cardiac lineages. Single-cell transcriptomics and trajectory analyses uncovered two mesodermal progenitor sources contributing to left ventricle cardiomyocytes, one embryonic and the other with an extraembryonic gene expression signature. Additional lineage-tracing studies revealed that the extraembryonic-related progenitors reside at the embryonic-extraembryonic interface in gastrulating embryos, and produce distinct cell types forming the pericardium, septum transversum, epicardium, dorsolateral regions of the left ventricle and atrioventricular canal myocardium, and extraembryonic mesoderm. Clonal analyses demonstrated that these progenitors are multipotent, giving rise to not only cardiomyocytes and serosal mesothelial cell types but also, remarkably, extraembryonic mesoderm. Conclusions: Overall, our results reveal the location of previously unknown multipotent cardiovascular progenitors at the embryonic-extraembryonic interface, and define the earliest embryonic origins of serosal mesothelial lineages, including the epicardium, which contributes fibroblasts and vascular support cells to the heart. The shared lineage relationship between embryonic cardiovascular lineages and extraembryonic mesoderm revealed by our studies underscores an underappreciated blurring of boundaries between embryonic and extraembryonic mesoderm. Our findings suggest unexpected underpinnings of the association between congenital heart disease and placental insufficiency anomalies, and the potential utility of extraembryonic cells for generating cardiovascular cell types for heart repair.
X
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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