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Clontech smarter ultra low input rna kit v4

Manufactured by Takara Bio
Sourced in United States

The Clontech SMARTer Ultra Low Input RNA Kit V4 is a product designed for generating high-quality cDNA from small amounts of input RNA. It is optimized for use with total RNA, including challenging samples such as those derived from single cells or limited tissue sources.

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7 protocols using clontech smarter ultra low input rna kit v4

1

RNAseq analysis of murine adipose ASPCs

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ASPCs were sort-purified from visceral adipose tissue (epididymal WAT) of wild type C57BL/6 mice. Sorted cells were used to prepare RNAseq libraries by the Epigenomics Core at Weill Cornell Medicine using the Clontech SMARTer® Ultra® Low Input RNA Kit V4 (Clontech Laboratories). Sequencing was performed on an Illumina HiSeq 2500, yielding 50 bp single end reads. Raw sequencing reads were demultiplexed with Illumina’s CASAVA (v1.8.2). Adapters were trimmed from reads using FLEXBAR (v2.4) (41 (link)) and reads were aligned to the NCBI GRCm38/mm10 mouse genome using the STAR aligner (v2.3.0) (42 (link)) with default settings. Reads per gene were counted using Rsubread (43 ). Normalized counts per gene were calculated using using DESeq2 version 1.18.1 (44 (link)).
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2

RNA-seq of Sorted ILC2 and ILC3 Cells

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ILC2 and ILC3 were sort-purified from small intestine of Rorc(γt)-GfpTG mice or BMAL1fl/fl and BMAL1ΔRorc littermates. Sorted cells were used to prepare RNA-seq libraries by the Epigenomics Core at Weill Cornell Medicine using the Clontech SMARTer Ultra Low Input RNA Kit V4 (Clontech Laboratories). Sequencing was performed on an Illumina HiSeq 2500, yielding 50 bp single-end reads.
Raw sequencing reads were demultiplexed with Illumina CASAVA (v1.8.2). Adapters were trimmed from reads using FLEXBAR (v2.4) and reads were aligned to the NCBI GRCm38/mm10 mouse genome using the STAR aligner (v2.5.2b) with default settings. Reads per gene were counted using Rsubread. Genes with at least 50 or more counts in at least 2 samples were tested for differential expression. Differential expression was assessed using DESeq2 version 1.22.2 with default parameters and with a false discovery rate (FDR) of 0.1. Principal component analysis (PCA) was performed after applying the DESeq2 varianceStabilizingTransformation function, using the 500 genes with highest variance.
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3

RNA-seq of Colonic ILC2s

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RNA-seq libraries were prepared from 1,000 sorted colonic lamina propria ILC2s (CD45+LinCD90.2+CD127+KLRG1+) by the Epigenomics Core at WCM using the Clontech SMARTer Ultra Low Input RNA Kit V4 (Clontech Laboratories). Libraries were sequenced on the Illumina HiSeq 2500 system, generating 50 bp single-end reads. Two samples from two control-diet-fed WT SPF mice and two samples from two inulin-fibre-diet-fed WT SPF mice were used. Reads were demultiplexed using Illumina’s CASAVA (v.1.8.2), adapter-trimmed using FLEXBAR (v.2.4)62 (link) and aligned to the mouse genome (NCBI GRCm38/mm10) using STAR aligner (v.2.3.0)63 (link) with the default parameters. Read counts per gene (RefSeq annotation) were determined using the Rsubread R package (v.3.10 I)64 (link). Normalization and differential expression analysis were performed using DESeq2 (v.1.26.0)65 (link). Before differential expression testing, genes were prefiltered to include only genes that had a minimum of 50 raw reads in at least two samples. Tests were corrected for multiple comparisons, using a FDR of 10% to determine significance. GO enrichment analysis was performed using the enrichGO function of the clusterProfiler R package (v.3.14.3)66 (link), using the biological process ontology. Enrichment P values were corrected for multiple comparisons using the Benjamini and Hochberg method67 .
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4

Transcriptional Profiling of Pathogenic ILC3s

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ILC3s (CD45+, CD3ε, CD5, CD8α , NK1.1, CD11b, CD11c, CD19, CD127+, CD90.2+, RORγt(GFP)+) (0.5–1 × 103 per tissue/mouse) were sort-purified from Rorc-eGFP mice at day 15 active EAE. Sorted cells were used to prepare RNA sequencing libraries by the Epigenomics Core at Weill Cornell Medicine, using the Clontech SMARTer UltraLow Input RNA Kit V4 (Clontech Laboratories). Sequencing was performed on an Illumina HiSeq 4000, yielding 50-bp single-end reads. Raw sequencing reads were demultiplexed with Illumina CASAVA (v.1.8.2). Adapters were trimmed from reads using FLEXBAR (v.2.4) and reads were aligned to the NCBI GRCm38/mm10 mouse genome using the STAR aligner (v.2.3.0) with default settings. Reads per gene were counted using Rsubread. Genes with at least ten counts in each sample were considered for further analysis. Differential expression was assessed using DESeq2 version 1.14.0 with default parameters and with a false discovery rate (FDR) of 0.1. Principal component analysis was performed after using DESeq2 variance stabilizing transformation. Heat maps of the normalized gene counts, represented either as log2 (1 + x) or Z-score, were generated using Morpheus (https://software.broadinstitute.org/morpheus).
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5

Transcriptional Profiling of Intestinal ILC3s and CD4+ T Cells

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ILC3
(CD45+CD3-RORγtGFP+CD127+)
and CD4+ T cells (CD45+CD3+CD4+)
were sort-purified from small intestine of
Rorc(γt)-GfpTG mice.
Sorted cells were used to prepare RNA-seq libraries by the Epigenomics Core at
Weill Cornell Medicine using the Clontech SMARTer Ultra Low Input RNA Kit V4
(Clontech Laboratories). Sequencing was performed on an Illumina HiSeq 2500,
yielding 50 bp single-end reads. Raw sequencing reads were demultiplexed with
Illumina CASAVA (v1.8.2). Adapters were trimmed from reads using FLEXBAR (v2.4)
and reads were aligned to the NCBI GRCm38/mm10 mouse genome using the STAR
aligner (v2.3.0) with default settings. Reads per gene were counted using
Rsubread. One sample of the CD4+ T cell group was removed, as its
library size was anomalously small compared to those of the other samples. Genes
with at least 10 counts in each sample were considered for further analysis.
Differential expression was assessed using DESeq2 version 1.14.0 with default
parameters and with a false discovery rate (FDR) of 0.1.
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6

Transcriptional Profiling of Intestinal ILC3s and CD4+ T Cells

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ILC3
(CD45+CD3-RORγtGFP+CD127+)
and CD4+ T cells (CD45+CD3+CD4+)
were sort-purified from small intestine of
Rorc(γt)-GfpTG mice.
Sorted cells were used to prepare RNA-seq libraries by the Epigenomics Core at
Weill Cornell Medicine using the Clontech SMARTer Ultra Low Input RNA Kit V4
(Clontech Laboratories). Sequencing was performed on an Illumina HiSeq 2500,
yielding 50 bp single-end reads. Raw sequencing reads were demultiplexed with
Illumina CASAVA (v1.8.2). Adapters were trimmed from reads using FLEXBAR (v2.4)
and reads were aligned to the NCBI GRCm38/mm10 mouse genome using the STAR
aligner (v2.3.0) with default settings. Reads per gene were counted using
Rsubread. One sample of the CD4+ T cell group was removed, as its
library size was anomalously small compared to those of the other samples. Genes
with at least 10 counts in each sample were considered for further analysis.
Differential expression was assessed using DESeq2 version 1.14.0 with default
parameters and with a false discovery rate (FDR) of 0.1.
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7

Single-Cell RNA-seq Using Fluidigm C1

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This experiment was performed using the Fluidigm C1 platform (Fluidigm, San Francisco, CA). Immediately after cell sorting and counting, cells were loaded on the integrated fluidics circuits (IFC) C1 chip. Each capture site was carefully examined under a Leica fluorescence microscope in bright field, Red and Green fluorescence channels for cell doublets and viability, and to ensure the capture rate was satisfactory before cell lysis and cDNA preparation. The reverse transcription was performed on the chip using Clontech SMARTer Ultra Low Input RNA Kit V4 (Takara-Clontech, USA). After running the C1 Fluidigm system, single cell RNA libraries were generated from 100 to 300 pg (picogram) of cDNA, using the low throughput Nextera XT DNA library prep kit (Illumina, USA). Individual barcoded libraries were sequenced by Illumina HiSeq 2500 (125bp).
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