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Low rna input kit

Manufactured by NanoString

The Low RNA Input Kit is a laboratory equipment product that enables the analysis of small amounts of RNA samples. It is designed to work with NanoString's nCounter® Analysis System, providing a reliable solution for researchers working with limited RNA inputs.

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3 protocols using low rna input kit

1

RiboTag-based Polyribosome Immunoprecipitation

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Polyribosome immunoprecipitation was achieved as described in 14 (link), 33 (link). Briefly, pooled tissue from RiboTag (RT)+/+ mice with virally mediated Cre expression in VP→MDT neurons (n= 4–5 mice per sample) was homogenized and 800-μL of the supernatant was incubated in HA-coupled magnetic beads (Invitrogen: 100.03D; Covance: MMS-101R) overnight at 4°C. Magnetic beads were then washed in high salt buffer. Following TRK lysis buffer addition, RNA was extracted with the RNeasy Micro kit (Qiagen: 74004). For input, 50 ng of RNA was used and 1–2 ng of RNA from immunoprecipitated samples were amplified using the Low RNA Input kit (NanoString Technologies®). All samples were then processed with the nCounter Master Kit (NanoString Technologies®) by UMSOM IGS on a custom-made gene expression Code set (see Supplementary Table 3 for primer sequences). Data were analyzed with nSolver Analysis software 14 (link).
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2

Multiplexed Gene Expression Profiling of Tumor Samples

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Tumor RNA samples (1 ng input) were reverse transcribed to cDNA. Primer-specific regions were then linearly amplified through a multiplexed target enrichment approach using the Low RNA Input Kit (NanoString). We used both the Human chimeric antigen receptor (CAR)-T Panel (770 genes plus 10 internal reference genes) and the Human Immune Profiling panel (730 genes plus 40 internal reference genes), each containing probes for immune-related and housekeeping genes. Reaction products were hybridized to cartridges on the NanoString MAX/FLEX Prep Station, which were then scanned on the Digital Analyzer. Read counts were normalized to panel-specific reference genes that were selected using geNorm (20 (link)). Each panel was normalized independently and then merged results were prepared for downstream analyses in nSolver 4.0 with the Advanced Analysis plugin (version 2.0.134). To account for overlapping panel probes, nSolver uses a scaling method that takes the ratio of geometric means of all common probes between the two CodeSets. This ratio was then multiplied to the individual probe counts for both common and unique probes in the subsequent CodeSet. Counts for common probes were averaged in the merged data, while unique probe counts were adjusted by the ratio factor. The resulting values were used for downstream analyses.
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3

SARS-CoV-2 Infection of Organoids: FACS and RNA Analysis

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Organoids were infected with SARS-CoV-2 and dissociated and stained for FACS as described above in a BSL3-certified biosafety cabinet. Cells were fixed with 4% PFA for 1 hr at RT to inactivate virus as described above for decontamination out of the BSL3 facility. Cells were sorted for live, single cell, EPCAM+CD45 cells using a BD FACSAria II SORP and RNA was extracted using the protocol described by Russell et. al78 (link). Following RNA extraction, quality was assessed via Agilent Bioanalyzer and cDNA was synthesized using Hs HostReponse LI Primers (Nanostring, XT-HHR-12), Coronavirus Panel Plus (Nanostring, CORONAPP-12) and Low RNA Input Kit (Nanostring, LOW-RNA-48) per manufacturer’s instructions. Following hybridization, transcripts were quantitated using the nCounter® SPRINT Profiler. Samples were run by the LCA Genome Core at University of California, San Francisco.
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