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.
Cancer Research Communications
2022 Apr 20
Brinch, S;Amundsen-Isaksen, E;Espada, S;Hammarström, C;Aizenshtadt, A;Olsen, P;Holmen, L;Høyem, M;Scholz, H;Grødeland, G;Sowa, S;Galera-Prat, A;Lehtiö, L;Meerts, I;Leenders, R;Wegert, A;Krauss, S;Waaler, J;
| DOI: 10.1158/2767-9764.crc-22-0027
Immunity.
2018 Nov 21
Hammond TR, Dufort C, Dissing-Olesen L, Giera S, Young A, Wysoker A, Walker AJ, Gergits F, Segel M, Nemesh J, Marsh SE, Saunders A, Macosko E, Ginhoux F, Chen J, Franklin RJM, Piao X, McCarroll SA, Stevens B.
PMID: 30471926 | DOI: 10.1016/j.immuni.2018.11.004
Microglia, the resident immune cells of the brain, rapidly change states in response to their environment, but we lack molecular and functional signatures of different microglial populations. Here, we analyzed the RNA expression patterns of more than 76,000 individual microglia in mice during development, in old age, and after brain injury. Our analysis uncovered at least nine transcriptionally distinct microglial states, which expressed unique sets of genes and were localized in the brain using specific markers. The greatest microglial heterogeneity was found at young ages; however, several states-including chemokine-enriched inflammatory microglia-persisted throughout the lifespan or increased in the aged brain. Multiple reactive microglial subtypes were also found following demyelinating injury in mice, at least one of which was also found in human multiple sclerosis lesions. These distinct microglia signatures can be used to better understand microglia function and to identify and manipulate specific subpopulations in health and disease.
Pathology - Research and Practice
2022 Mar 01
Yoshizawa, T;Uehara, T;Iwaya, M;Asaka, S;Kobayashi, S;Nakajima, T;Kinugawa, Y;Nagaya, T;Kamakura, M;Shimizu, A;Kubota, K;Notake, T;Masuo, H;Hosoda, K;Sakai, H;Hayashi, H;Umemura, K;Kamachi, A;Goto, T;Tomida, H;Yamazaki, S;Ota, H;Soejima, Y;
| DOI: 10.1016/j.prp.2022.153832
Dev Biol. 2015 May 20.
Norum HJ, Bergström Å, Andersson BA, Kuiper RV, Hoelzl MA, Sørlie T, Toftgård R.
PMID: 25990088 | DOI: canprevres.0090.2015.
Sci Rep.
2016 Feb 09
Nakagawa A, Adams CE, Huang Y, Hamarneh SR, Liu W, Von Alt KN, Mino-Kenudson M, Hodin RA, Lillemoe KD, Fernández-Del Castillo C, Warshaw AL, Liss AS.
PMID: 26856877 | DOI: 10.1038/srep20390
Absorptive and secretory cells of the small intestine are derived from a single population of Lgr5-expressing stem cells. While key genetic pathways required for differentiation into specific lineages have been defined, epigenetic programs contributing to this process remain poorly characterized. Members of the BET family of chromatin adaptors contain tandem bromodomains that mediate binding to acetylated lysines on target proteins to regulate gene expression. In this study, we demonstrate that mice treated with a small molecule inhibitor of BET bromodomains, CPI203, exhibit greater than 90% decrease in tuft and enteroendocrine cells in both crypts and villi of the small intestine, with no changes observed in goblet or Paneth cells. BET bromodomain inhibition did not alter the abundance of Lgr5-expressing stem cells in crypts, but rather exerted its effects on intermediate progenitors, in part through regulation of Ngn3 expression. When BET bromodomain inhibition was combined with the chemotherapeutic gemcitabine, pervasive apoptosis was observed in intestinal crypts, revealing an important role for BET bromodomain activity in intestinal homeostasis. Pharmacological targeting of BET bromodomains defines a novel pathway required for tuft and enteroendocrine differentiation and provides an important tool to further dissect the progression from stem cell to terminally differentiated secretory cell.
Kidney Int.
2018 Sep 21
Kleczko EK, Marsh KH, Tyler LC, Furgeson SB, Bullock BL, Altmann CJ, Miyazaki M, Gitomer BY, Harris PC, Weiser-Evans MCM, Chonchol MB, Clambey ET, Nemenoff RA, Hopp K.
PMID: 30249452 | DOI: 10.1016/j.kint.2018.06.025
Autosomal dominant polycystic kidney disease (ADPKD) is the most prevalent inherited nephropathy. To date, therapies alleviating the disease have largely focused on targeting abnormalities in renal epithelial cell signaling. ADPKD has many hallmarks of cancer, where targeting T cells has brought novel therapeutic interventions. However, little is known about the role and therapeutic potential of T cells in ADPKD. Here, we used an orthologous ADPKD model, Pkd1 p.R3277C (RC), to begin to define the role of T cells in disease progression. Using flow cytometry, we found progressive increases in renal CD8+ and CD4+ T cells, correlative with disease severity, but with selective activation of CD8+ T cells. By immunofluorescence, T cells specifically localized to cystic lesions and increased levels of T-cell recruiting chemokines (CXCL9/CXCL10) were detected by qPCR/in situ hybridization in the kidneys of mice, patients, and ADPKD epithelial cell lines. Importantly, immunodepletion of CD8+ T cells from one to three months in C57Bl/6 Pkd1RC/RC mice resulted in worsening of ADPKD pathology, decreased apoptosis, and increased proliferation compared to IgG-control, consistent with a reno-protective role of CD8+ T cells. Thus, our studies suggest a functional role for T cells, specifically CD8+ T cells, in ADPKD progression. Hence, targeting this pathway using immune-oncology agents may represent a novel therapeutic approach for ADPKD.
Research square
2023 Jan 10
Imada, S;Shin, H;Khawaled, S;Meckelmann, S;Whittaker, C;Correa, R;Pradhan, D;Calibasi, G;Nascentes, LN;Allies, G;Wittenhofer, P;Schmitz, O;Roper, J;Vinolo, M;Cheng, CW;Tasdogan, A;Yilmaz, ÃM;
PMID: 36711807 | DOI: 10.21203/rs.3.rs-2320717/v1
Cancer immunology research
2022 Oct 04
Reschke, R;Shapiro, JW;Yu, J;Rouhani, SJ;Olson, DJ;Zha, Y;Gajewski, TF;
PMID: 35977003 | DOI: 10.1158/2326-6066.CIR-22-0362
Nature
2022 Apr 01
Kadur Lakshminarasimha Murthy, P;Sontake, V;Tata, A;Kobayashi, Y;Macadlo, L;Okuda, K;Conchola, AS;Nakano, S;Gregory, S;Miller, LA;Spence, JR;Engelhardt, JF;Boucher, RC;Rock, JR;Randell, SH;Tata, PR;
PMID: 35355018 | DOI: 10.1038/s41586-022-04541-3
PNAS 2018
2018 Feb 07
Clarke LE, Liddelow SA, Chakraborty C, Münch AE, Heiman M, Barres BA.
PMID: - | DOI: 10.1073/pnas.1800165115
The decline of cognitive function occurs with aging, but the mechanisms responsible are unknown. Astrocytes instruct the formation, maturation, and elimination of synapses, and impairment of these functions has been implicated in many diseases. These findings raise the question of whether astrocyte dysfunction could contribute to cognitive decline in aging. We used the Bac-Trap method to perform RNA sequencing of astrocytes from different brain regions across the lifespan of the mouse. We found that astrocytes have region-specific transcriptional identities that change with age in a region-dependent manner. We validated our findings using fluorescence in situ hybridization and quantitative PCR. Detailed analysis of the differentially expressed genes in aging revealed that aged astrocytes take on a reactive phenotype of neuroinflammatory A1-like reactive astrocytes. Hippocampal and striatal astrocytes up-regulated a greater number of reactive astrocyte genes compared with cortical astrocytes. Moreover, aged brains formed many more A1 reactive astrocytes in response to the neuroinflammation inducer lipopolysaccharide. We found that the aging-induced up-regulation of reactive astrocyte genes was significantly reduced in mice lacking the microglial-secreted cytokines (IL-1α, TNF, and C1q) known to induce A1 reactive astrocyte formation, indicating that microglia promote astrocyte activation in aging. Since A1 reactive astrocytes lose the ability to carry out their normal functions, produce complement components, and release a toxic factor which kills neurons and oligodendrocytes, the aging-induced up-regulation of reactive genes by astrocytes could contribute to the cognitive decline in vulnerable brain regions in normal aging and contribute to the greater vulnerability of the aged brain to injury.
Gastroenterology
2022 Nov 16
Boonsanay, V;Mosa, MH;Looso, M;Weichenhan, D;Ceteci, F;Pudelko, L;Lechel, A;Michel, CS;Künne, C;Farin, HF;Plass, C;Greten, FR;
PMID: 36402192 | DOI: 10.1053/j.gastro.2022.10.036
Hum Reprod.
2018 Apr 10
Tempest N, Baker AM, Wright NA, Hapangama DK.
PMID: 29648645 | DOI: 10.1093/humrep/dey083
Abstract
STUDY QUESTION:
Is human endometrial leucine-rich repeat-containing G-protein-coupled receptor 5 (LGR5) gene expression limited to the postulated epithelial stem cell niche, stratum basalis glands, and is it hormonally regulated?
SUMMARY ANSWER:
LGR5 expressing cells are not limited to the postulated stem cell niche but LGR5 expression is hormonally regulated.
WHAT IS KNOWN ALREADY:
The human endometrium is a highly regenerative tissue; however, endometrial epithelial stem cell markers are yet to be confirmed. LGR5 is a marker of stem cells in various epithelia.
STUDY DESIGN, SIZE, DURATION:
The study was conducted at a University Research Institute. Endometrial samples from 50 healthy women undergoing benign gynaecological surgery with no endometrial pathology at the Liverpool Women's hospital were included and analysed in the following six sub-categories; proliferative, secretory phases of menstrual cycle, postmenopausal, those using oral and local progestagens and samples for in vitro explant culture.
PARTICIPANTS/MATERIALS, SETTING, METHODS:
In this study, we used the gold standard method, in situ hybridisation (ISH) along with qPCR and a systems biology approach to study the location of LGR5 gene expression in full thickness human endometrium and Fallopian tubes. The progesterone regulation of endometrial LGR5 was examined in vivo and in short-term cultured endometrial tissue explants in vitro. LGR5 expression was correlated with epithelial proliferation (Ki67), and expression of previously reported epithelia progenitor markers (SOX9 and SSEA-1) immunohistochemistry (IHC).
MAIN RESULTS AND THE ROLE OF CHANCE:
LGR5 gene expression was significantly higher in the endometrial luminal epithelium than in all other epithelial compartments in the healthy human endometrium, including the endometrial stratum basalis (P < 0.05). The strongest SSEA-1 and SOX9 staining was observed in the stratum basalis glands, but the general trend of SOX9 and SSEA-1 expression followed the same cyclical pattern of expression as LGR5. Stratum functionalis epithelial Ki67-LI and LGR5 expression levels correlated significantly (r = 0.74, P = 0.01), however, they did not correlate in luminal and stratum basalis epithelium (r = 0.5 and 0.13, respectively). Endometrial LGR5 demonstrates a dynamic spatiotemporal expression pattern, suggesting hormonal regulation. Oral and local progestogens significantly reduced endometrial LGR5 mRNA levels compared with women not on hormonal treatment (P < 0.01). Our data were in agreement with in silico analysis of published endometrial microarrays.
LARGE SCALE DATA:
We did not generate our own large scale data but interrogated publically available large scale data sets.
LIMITATIONS, REASONS FOR CAUTION:
In the absence of reliable antibodies for human LGR5 protein and validated lineage markers for the various epithelial populations that potentially exist within the endometrium, our study does not formally characterise or examine the functional ability of the resident LGR5+ cells as multipotent.
WIDER IMPLICATIONS OF THE FINDINGS:
These data will facilitate future lineage tracing studies in the human endometrial epithelium; to identify the location of stem cells and further complement the in vitro functional studies, to confirm if the LGR5 expressing epithelial cells indeed represent the epithelial stem cell population.
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 | |
EnEm | Probe targets exons n and m | |
En-Em | Probe 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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