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.
Brain, behavior, and immunity
2021 May 27
Vicente-Rodríguez, M;Singh, N;Turkheimer, F;Peris-Yague, A;Randall, K;Veronese, M;Simmons, C;Karim Haji-Dheere, A;Bordoloi, J;Sander, K;Awais, RO;Årstad, E;Consortium, N;Cash, D;Parker, CA;
PMID: 34052363 | DOI: 10.1016/j.bbi.2021.05.025
iScience
2021 Jul 01
Shadrach, J;Stansberry, W;Milen, A;Ives, R;Fogarty, E;Antonellis, A;Pierchala, B;
| DOI: 10.1016/j.isci.2021.102700
Nature neuroscience
2023 Feb 06
De Schepper, S;Ge, JZ;Crowley, G;Ferreira, LSS;Garceau, D;Toomey, CE;Sokolova, D;Rueda-Carrasco, J;Shin, SH;Kim, JS;Childs, T;Lashley, T;Burden, JJ;Sasner, M;Sala Frigerio, C;Jung, S;Hong, S;
PMID: 36747024 | DOI: 10.1038/s41593-023-01257-z
PloS one
2023 Feb 24
Krawczyk, MC;Pan, L;Zhang, AJ;Zhang, Y;
PMID: 36827449 | DOI: 10.1371/journal.pone.0279736
Neuron
2022 Dec 29
Shi, Z;Yu, P;Lin, WJ;Chen, S;Hu, X;Chen, S;Cheng, J;Liu, Q;Yang, Y;Li, S;Zhang, Z;Xie, J;Jiang, J;He, B;Li, Y;Li, H;Xu, Y;Zeng, J;Huang, J;Mei, J;Cai, J;Chen, J;Wu, LJ;Ko, H;Tang, Y;
PMID: 36603584 | DOI: 10.1016/j.neuron.2022.12.009
Acta neuropathologica communications
2022 Dec 21
Chen, S;Chang, Y;Li, L;Acosta, D;Li, Y;Guo, Q;Wang, C;Turkes, E;Morrison, C;Julian, D;Hester, ME;Scharre, DW;Santiskulvong, C;Song, SX;Plummer, JT;Serrano, GE;Beach, TG;Duff, KE;Ma, Q;Fu, H;
PMID: 36544231 | DOI: 10.1186/s40478-022-01494-6
The Journal of clinical investigation
2022 Jun 01
Yan, P;Kim, KW;Xiao, Q;Ma, X;Czerniewski, LR;Liu, H;Rawnsley, DR;Yan, Y;Randolph, GJ;Epelman, S;Lee, JM;Diwan, A;
PMID: 35511433 | DOI: 10.1172/JCI152565
Proc Natl Acad Sci U S A.
2018 Jan 17
Kalish BT, Cheadle L, Hrvatin S, Nagy MA, Rivera S, Crow M, Gillis J, Kirchner R, Greenberg ME.
PMID: 29343640 | DOI: 10.1073/pnas.1717871115
Coordinated changes in gene expression underlie the early patterning and cell-type specification of the central nervous system. However, much less is known about how such changes contribute to later stages of circuit assembly and refinement. In this study, we employ single-cell RNA sequencing to develop a detailed, whole-transcriptome resource of gene expression across four time points in the developing dorsal lateral geniculate nucleus (LGN), a visual structure in the brain that undergoes a well-characterized program of postnatal circuit development. This approach identifies markers defining the major LGN cell types, including excitatory relay neurons, oligodendrocytes, astrocytes, microglia, and endothelial cells. Most cell types exhibit significant transcriptional changes across development, dynamically expressing genes involved in distinct processes including retinotopic mapping, synaptogenesis, myelination, and synaptic refinement. Our data suggest that genes associated with synapse and circuit development are expressed in a larger proportion of nonneuronal cell types than previously appreciated. Furthermore, we used this single-cell expression atlas to identify the Prkcd-Cre mouse line as a tool for selective manipulation of relay neurons during a late stage of sensory-driven synaptic refinement. This transcriptomic resource provides a cellular map of gene expression across several cell types of the LGN, and offers insight into the molecular mechanisms of circuit development in the postnatal brain.
Nature
2022 Aug 01
Stogsdill, JA;Kim, K;Binan, L;Farhi, SL;Levin, JZ;Arlotta, P;
PMID: 35948630 | DOI: 10.1038/s41586-022-05056-7
Nature
2019 Apr 03
Pluvinage JV, Haney MS, Smith BAH, Sun J, Iram T, Bonanno L, Li L, Lee DP, Morgens DW, Yang AC, Shuken SR, Gate D, Scott M, Khatri P, Luo J, Bertozzi CR, Bassik MC, Wyss-Coray T.
PMID: 30944478 | DOI: 10.1038/s41586-019-1088-4
Microglia maintain homeostasis in the central nervous system through phagocytic clearance of protein aggregates and cellular debris. This function deteriorates during ageing and neurodegenerative disease, concomitant with cognitive decline. However, the mechanisms of impaired microglial homeostatic function and the cognitive effects of restoring this function remain unknown. We combined CRISPR-Cas9 knockout screens with RNA sequencing analysis to discover age-related genetic modifiers of microglial phagocytosis. These screens identified CD22, a canonical B cell receptor, as a negative regulator of phagocytosis that is upregulated on aged microglia. CD22 mediates the anti-phagocytic effect of α2,6-linked sialic acid, and inhibition of CD22 promotes the clearance of myelin debris, amyloid-β oligomers and α-synuclein fibrils in vivo. Long-term central nervous system delivery of an antibody that blocks CD22 function reprograms microglia towards a homeostatic transcriptional state and improves cognitive function in aged mice. These findings elucidate a mechanism of age-related microglial impairment and a strategy to restore homeostasis in the ageing brain.
Neuron.
2018 May 22
Bennett FC, Bennett ML, Yaqoob F, Mulinyawe SB, Grant GA, Hayden Gephart M, Plowey ED, Barres BA.
PMID: 29861285 | DOI: 10.1016/j.neuron.2018.05.014
Microglia, the brain's resident macrophages, are dynamic CNS custodians with surprising origins in the extra-embryonic yolk sac. The consequences of their distinct ontogeny are unknown but critical to understanding and treating brain diseases. We created a brain macrophage transplantation system to disentangle how environment and ontogeny specify microglial identity. We find that donor cells extensively engraft in the CNS of microglia-deficient mice, and even after exposure to a cell culture environment, microglia fully regain their identity when returned to the CNS. Though transplanted macrophages from multiple tissues can express microglial genes in the brain, only those of yolk-sac origin fully attain microglial identity. Transplanted macrophages of inappropriate origin, including primary human cells in a humanized host, express disease-associated genes and specific ontogeny markers. Through brain macrophage transplantation, we discover new principles of microglial identity that have broad applications to the study of disease and development of myeloid cell therapies.
Nat Commun.
2018 Sep 25
Arneson D, Zhang G, Ying Z, Zhuang Y, Byun HR, Ahn IS, Gomez-Pinilla F, Yang X.
PMID: 30254269 | DOI: 10.1038/s41467-018-06222-0
The complex neuropathology of traumatic brain injury (TBI) is difficult to dissect, given the convoluted cytoarchitecture of affected brain regions such as the hippocampus. Hippocampal dysfunction during TBI results in cognitive decline that may escalate to other neurological disorders, the molecular basis of which is hidden in the genomic programs of individual cells. Using the unbiased single cell sequencing method Drop-seq, we report that concussive TBI affects previously undefined cell populations, in addition to classical hippocampal cell types. TBI also impacts cell type-specific genes and pathways and alters gene co-expression across cell types, suggesting hidden pathogenic mechanisms and therapeutic target pathways. Modulating the thyroid hormone pathway as informed by the T4 transporter transthyretin Ttr mitigates TBI-associated genomic and behavioral abnormalities. Thus, single cell genomics provides unique information about how TBI impacts diverse hippocampal cell types, adding new insights into the pathogenic pathways amenable to therapeutics in TBI and related disorders.
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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