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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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RNAscope™ HiPlex CS Probe - Hs-PRAME-T2

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Up-regulation of SPARC is associated with tumor progression and epithelial SPARC expression is correlated with poor survival and MMP-2 expression in patients with breast carcinoma

Int J Clin Exp Pathol

2017 Mar 15

Kim NI, Kim GE, Park MH, Lee JS, Yoon JH.
PMID: - | DOI: -

Abstract: Objective: To investigate the potential involvement of secreted protein acidic and rich in cysteine (SPARC) in the progression of the breast tumor and to determine its association with outcome variables and matrix metalloproteinases (MMPs) expression in patients with breast carcinoma (BC). Methods: SPARC expression was examined in 8 pairs of BC tissues and surrounding normal tissues at mRNA and protein levels by qRT-PCR, RNAscope in situ hybridization (ISH), Western blotting, and immunohistochemistry techniques. Immunohistochemical staining of SPARC was done in 26 normal breasts, 76 ductal carcinoma in situ (DCIS), and 198 BC samples. In addition, immunohistochemical staining was performed for MMP-2 and MMP-9 in BC. Results: SPARC expression at mRNA and protein levels was significantly increased in BC tissues compared to the surrounding normal tissues (P < 0.05 and P < 0.01, respectively). RNAscope ISH and immunohistochemistry of SPARC confirmed an increase in SPARC expression in BC tissues compared with the normal tissues. Epithelial SPARC expression increased continuously from normal breast through DCIS to BC (P < 0.001). In patients with BC, high epithelial SPARC expression was associated with worse disease-free survival and overall survival (P = 0.002 and P = 0.048, respectively) and independently predicted worse disease-free survival (P = 0.002). Epithelial SPARC expression was significantly correlated with MMP-2 expression (P < 0.05). Conclusion: Up-regulation of SPARC contributes to breast tumor progression. SPARC expression may be a useful biomarker for the prognostic prediction in patients with BC. SPARC can control extracellular matrix degradation through up-regulation of MMP-2.

"In phyllodes tumors of the breast expression of SPARC (osteonectin/BM40) mRNA by in situ hybridization correlates with protein expression by immunohistochemistry and is associated with tumor progression. "

Virchows Arch.

2016 Dec 01

Kim NI, Kim GE, Lee JS, Park MH.
PMID: 27909812 | DOI: 10.1007/s00428-016-2048-0

Secreted protein acidic and rich in cysteine (SPARC) plays an essential role in tumor invasion and metastasis. The present work was undertaken to detect expression of SPARC mRNA in phyllodes tumors (PTs) and its association with SPARC protein expression. This study also evaluated expression of SPARC mRNA and its correlation between grade and clinical behavior of PTs. In addition, we assessed in PTs the association of expression of SPARC with that of matrix metalloproteinase (MMP)-2 and of MMP-9. SPARC mRNA expression was determined by RNAscope in situ hybridization (ISH) in 50 benign, 22 borderline, and 10 malignant PTs using a tissue microarray. Furthermore, we applied immunohistochemistry (IHC) to examine expression of SPARC, MMP-2, and MMP-9. SPARC mRNA appeared to be concentrated mainly in the stromal compartment of PTs. IHC staining patterns of SPARC protein showed concordance with SPARC mRNA ISH results. Stromal SPARC expression increased continuously as PTs progress from benign through borderline to malignant PTs, both at mRNA (using ISH) (P = 0.044) and protein level (using IHC) (P = 0.000). The recurrence percentage was higher in the stromal SPARC mRNA or protein-positive group than in the SPARC-negative group but this difference was not statistically significant. Stromal SPARC mRNA and protein expression was associated with PT grade and correlated with MMP-2 expression. These results indicate that SPARC-mediated degradation of the extracellular matrix, and its possible association with MMPs, might contribute to progression of PTs.

RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes

Cell Metab.

2016 Sep 09

Xin Y, Kim J, Okamoto H, Ni M, Wei Y, Adler C, Murphy AJ, Yancopoulos GD, Lin C, Gromada J.
PMID: 27667665 | DOI: 10.1016/j.cmet.2016.08.018

Pancreatic islet cells are critical for maintaining normal blood glucose levels, and their malfunction underlies diabetes development and progression. We used single-cell RNA sequencing to determine the transcriptomes of 1,492 human pancreatic α, β, δ, and PP cells from non-diabetic and type 2 diabetes organ donors. We identified cell-type-specific genes and pathways as well as 245 genes with disturbed expression in type 2 diabetes. Importantly, 92% of the genes have not previously been associated with islet cell function or growth. Comparison of gene profiles in mouse and human α and β cells revealed species-specific expression. All data are available for online browsing and download and will hopefully serve as a resource for the islet research community.

Molecular divergence of mammalian astrocyte progenitor cells at early gliogenesis

Development (Cambridge, England)

2022 Mar 01

Liu, J;Wu, X;Lu, Q;
PMID: 35253855 | DOI: 10.1242/dev.199985

During mammalian brain development, how different astrocytes are specified from progenitor cells is not well understood. In particular, whether astrocyte progenitor cells (APCs) start as a relatively homogenous population or whether there is early heterogeneity remains unclear. Here, we have dissected subpopulations of embryonic mouse forebrain progenitors using single-cell transcriptome analyses. Our sequencing data revealed two molecularly distinct APC subgroups at the start of gliogenesis from both dorsal and ventral forebrains. The two APC subgroups were marked, respectively, by specific expression of Sparc and Sparcl1, which are known to function in mature astrocytes with opposing activities for regulating synapse formation. Expression analyses showed that SPARC and SPARCL1 mark APC subgroups that display distinct temporal and spatial patterns, correlating with major waves of astrogliogenesis during development. Our results uncover an early molecular divergence of APCs in the mammalian brain and provide a useful transcriptome resource for the study of glial cell specification.
The Aging Astrocyte Transcriptome from Multiple Regions of the Mouse Brain

Cell Rep.

2018 Jan 02

Boisvert MM, Erikson GA, Shokhirev MN, Allen NJ.
PMID: 29298427 | DOI: 10.1016/j.celrep.2017.12.039

Aging brains undergo cognitive decline, associated with decreased neuronal synapse number and function and altered metabolism. Astrocytes regulate neuronal synapse formation and function in development and adulthood, but whether these properties change during aging, contributing to neuronal dysfunction, is unknown. We addressed this by generating aged and adult astrocyte transcriptomes from multiple mouse brain regions. These data provide a comprehensive RNA-seq database of adult and aged astrocyte gene expression, available online as a resource. We identify astrocyte genes altered by aging across brain regions and regionally unique aging changes. Aging astrocytes show minimal alteration of homeostatic and neurotransmission-regulating genes. However, aging astrocytes upregulate genes that eliminate synapses and partially resemble reactive astrocytes. We further identified heterogeneous expression of synapse-regulating genes between astrocytes from different cortical regions. We find that alterations to astrocytes in aging create an environment permissive to synapse elimination and neuronal damage, potentially contributing to aging-associated cognitive decline.

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

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