ACD can configure probes for the various manual and automated assays for FOXP2 for RNAscope Assay, or for Basescope Assay compatible for your species of interest.
Elife
2019 May 02
Kast RJ, Lanjewar AL, Smith CD, Levitt P.
PMID: 31099752 | DOI: 10.7554/eLife.42012
The expression patterns of the transcription factor FOXP2 in the developing mammalian forebrain have been described, and some studies have tested the role of this protein in the development and function of specific forebrain circuits by diverse methods and in multiple species. Clinically, mutations in FOXP2 are associated with severe developmental speech disturbances, and molecular studies indicate that impairment of Foxp2 may lead to dysregulation of genes involved in forebrain histogenesis. Here, anatomical and molecular phenotypes of the cortical neuron populations that express FOXP2 were characterized in mice. Additionally, Foxp2 was removed from the developing mouse cortex at different prenatal ages using two Cre-recombinase driver lines. Detailed molecular and circuit analyses were undertaken to identify potential disruptions of development. Surprisingly, the results demonstrate that Foxp2 function is not required for many functions that it has been proposed to regulate, and therefore plays a more limited role in cortical development than previously thought.
The Journal of comparative neurology
2022 Feb 08
Karthik, S;Huang, D;Delgado, Y;Laing, JJ;Peltekian, L;Iverson, GN;Grady, F;Miller, RL;McCann, CM;Fritzsch, B;Iskusnykh, IY;Chizhikov, VV;Geerling, JC;
PMID: 35134251 | DOI: 10.1002/cne.25307
Nat Neurosci.
2017 Dec 11
Hrvatin S, Hochbaum DR, Nagy MA, Cicconet M, Robertson K, Cheadle L, Zilionis R, Ratner A, Borges-Monroy R, Klein AM, Sabatini BL, Greenberg ME.
PMID: 29230054 | DOI: 10.1038/s41593-017-0029-5
Activity-dependent transcriptional responses shape cortical function. However, a comprehensive understanding of the diversity of these responses across the full range of cortical cell types, and how these changes contribute to neuronal plasticity and disease, is lacking. To investigate the breadth of transcriptional changes that occur across cell types in the mouse visual cortex after exposure to light, we applied high-throughput single-cell RNA sequencing. We identified significant and divergent transcriptional responses to stimulation in each of the 30 cell types characterized, thus revealing 611 stimulus-responsive genes. Excitatory pyramidal neurons exhibited inter- and intralaminar heterogeneity in the induction of stimulus-responsive genes. Non-neuronal cells showed clear transcriptional responses that may regulate experience-dependent changes in neurovascular coupling and myelination. Together, these results reveal the dynamic landscape of the stimulus-dependent transcriptional changes occurring across cell types in the visual cortex; these changes are probably critical for cortical function and may be sites of deregulation in developmental brain disorders.
Cell Rep
2019 May 21
Kupari J, Häring M, Agirre E, Castelo-Branco G, Ernfors P.
PMID: 31116992 | DOI: 10.1016/j.celrep.2019.04.096
Sensory functions of the vagus nerve are critical for conscious perceptions and for monitoring visceral functions in the cardio-pulmonary and gastrointestinal systems. Here, we present a comprehensive identification, classification, and validation of the neuron types in the neural crest (jugular) and placode (nodose) derived vagal ganglia by single-cell RNA sequencing (scRNA-seq) transcriptomic analysis. Our results reveal major differences between neurons derived from different embryonic origins. Jugular neurons exhibit fundamental similarities to the somatosensory spinal neurons, including major types, such as C-low threshold mechanoreceptors (C-LTMRs), A-LTMRs, Aδ-nociceptors, and cold-, and mechano-heat C-nociceptors. In contrast, the nodose ganglion contains 18 distinct types dedicated to surveying the physiological state of the internal body. Our results reveal a vast diversity of vagal neuron types, including many previously unanticipated types, as well as proposed types that are consistent with chemoreceptors, nutrient detectors, baroreceptors, and stretch and volume mechanoreceptors of the respiratory, gastrointestinal, and cardiovascular systems.
Developmental cell
2023 Mar 27
Chen, HJ;Barske, L;Talbot, JC;Dinwoodie, OM;Roberts, RR;Farmer, DT;Jimenez, C;Merrill, AE;Tucker, AS;Crump, JG;
PMID: 36905926 | DOI: 10.1016/j.devcel.2023.02.011
Cell reports
2023 Mar 28
Sullivan, KE;Kraus, L;Kapustina, M;Wang, L;Stach, TR;Lemire, AL;Clements, J;Cembrowski, MS;
PMID: 36881508 | DOI: 10.1016/j.celrep.2023.112206
Cell discovery
2023 Feb 14
Yu, B;Zhang, Q;Lin, L;Zhou, X;Ma, W;Wen, S;Li, C;Wang, W;Wu, Q;Wang, X;Li, XM;
PMID: 36788214 | DOI: 10.1038/s41421-022-00506-y
The Journal of comparative neurology
2022 Aug 29
Huang, D;Zhang, R;Gasparini, S;McDonough, MC;Paradee, WJ;Geerling, JC;
PMID: 36036349 | DOI: 10.1002/cne.25400
Science (New York, N.Y.)
2022 Aug 25
Ma, S;Skarica, M;Li, Q;Xu, C;Risgaard, RD;Tebbenkamp, ATN;Mato-Blanco, X;Kovner, R;Krsnik, Ž;de Martin, X;Luria, V;Martí-Pérez, X;Liang, D;Karger, A;Schmidt, DK;Gomez-Sanchez, Z;Qi, C;Gobeske, KT;Pochareddy, S;Debnath, A;Hottman, CJ;Spurrier, J;Teo, L;Boghdadi, AG;Homman-Ludiye, J;Ely, JJ;Daadi, EW;Mi, D;Daadi, M;Marín, O;Hof, PR;Rasin, MR;Bourne, J;Sherwood, CC;Santpere, G;Girgenti, MJ;Strittmatter, SM;Sousa, AMM;Sestan, N;
PMID: 36007006 | DOI: 10.1126/science.abo7257
Nature communications
2021 Sep 29
Russ, DE;Cross, RBP;Li, L;Koch, SC;Matson, KJE;Yadav, A;Alkaslasi, MR;Lee, DI;Le Pichon, CE;Menon, V;Levine, AJ;
PMID: 34588430 | DOI: 10.1038/s41467-021-25125-1
Description | ||
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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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