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Humanht 12v4.0 expression beadchip arrays

Manufactured by Illumina

The HumanHT-12v4.0 Expression BeadChip arrays are high-throughput microarray products designed for gene expression analysis. They provide comprehensive coverage of well-characterized genes, gene candidates, and splice variants. The arrays enable the measurement of more than 47,000 probes derived from the National Center for Biotechnology Information Reference Sequence (NCBI) RefSeq Release 38.

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4 protocols using humanht 12v4.0 expression beadchip arrays

1

Prefrontal Cortex Gene Expression Analysis

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Tissue samples were homogenized with a motorized pellet pestle, and total RNA was extracted using AllPrep DNA/RNA Micro kits (Qiagen). Samples were amplified (RiboAmp Plus 1.5-round RNA Amplification, Applied Biosystems) for the production of biotinylated cRNA (Bioarray High Yield RNA Labeling, ENZO) and subsequently hybridized to HumanHT-12v4.0 Expression BeadChip arrays (Illumina) that were scanned on a BeadStation system following manufacturer’s instructions. A total of 90 BeadChip arrays were used to generate gene expression profiles for dorsolateral, ventrolateral, and ventromedial prefrontal cortex from 18 females and 12 males. No pooling of samples across monkeys or regions was necessary. Prefrontal cortical regions, sex, and stress treatment conditions were randomly counterbalanced across separate BeadChip arrays.
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2

Transcriptional Profiling of ALS Cohorts

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The study was performed with two cohorts (GSE112676 and GSE112680) and gene expression evaluated using two microarray platforms (Illumina HumanHT-12 V3.0 and HumanHT-12 V4.0 expression beadchip arrays) [31 (link)]. The V3.0 platform was used to profile expression in the GSE112676 cohort (n = 233 ALS and 508 CTL samples), and the V4.0 platform was used to profile expression in the GSE112680 cohort (n = 164 ALS, 137 CTL and 75 MIM samples) (Additional file 2A). Cohort demographics have been described previously [31 (link)]. In brief, ALS, CTL and MIM groups each included a higher percentage of males (≥ 55.3%; Additional file 2B) with average ages of 63.6, 62.6 and 57.9, respectively (Additional file 2C). Most patients (> 60%) had spinal- rather than bulbar-onset ALS (Additional file 2D). The GSE112680 cohort had a larger percentage of patients with C9orf72 repeat expansions (12.8% vs. 5.2%, Additional file 2G). Survival was defined as the time interval between disease onset to death, tracheostomy or noninvasive ventilation [31 (link)]. Given this definition, median survival was 2.44 years with 50% of patients surviving 1.59 to 3.87 years (Additional file 2F). The 75 MIM patients had been diagnosed with diverse ALS-like conditions, but the most common diagnoses were benign fasciculations (n = 9), spinal muscular atrophy (n = 8) and myelopathy (n = 8) (Additional file 2G).
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3

Primate Anterior Cingulate Cortex Transcriptome

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Tissue samples from monkeys were homogenised with a motorised pellet pestle and total RNA was extracted using AllPrep DNA/RNA Micro kits (Qiagen). Quantification was carried out by spectrophotometric analysis. All samples were amplified (RiboAmp Plus 1.5-round RNA Amplification, Applied Biosystems) for production of biotinylated cRNA (Bioarray High Yield RNA Labeling, ENZO) and subsequently hybridized to HumanHT-12v4.0 Expression BeadChip arrays (Illumina) that were scanned on a BeadStation system following manufacturer’s instructions. Twelve BeadChip arrays were used to generate gene expression profiles for monkey anterior cingulate cortex (N=6 per treatment condition). No pooling of samples was necessary. Stress coping and no-stress conditions were randomly counterbalanced across separate BeadChip arrays.
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4

ALS Gene Expression Profiling Protocol

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The ALS patient dataset was obtained from the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/) and ArrayExpress database (https://www.ebi.ac.uk/arrayexpress/experiments/E-TABM-940/), and the inclusion criteria for the candidate dataset were: ALS, Human gene expression profile, availability of follow-up information (survival information), and related clinical data. GSE112676 and GSE112680, gene expression data were obtained from two microarray platforms (Illumina HumanHT-12 V3.0 and HumanHT-12 V4.0 expression beadchip arrays), were included in our study. GSE112676 (n = 233 ALS and 508 controls) and GSE112680 (n = 164 ALS, 75 mimics, and 137 controls) contained a total of 397 whole blood gene expression data from ALS patients, as described in previous studies (van Rheenen et al., 2018 (link); Swindell et al., 2019 (link)). The clinical features of the 397 ALS patients are presented in Table 1. The cases were eventually randomly grouped into a training cohort and a validation cohort for bioinformatics analysis based on the ratio of 6:4. The E-TABM-940 dataset (n = 57 ALS and 23 controls) from ArrayExpress database was used as the external validation cohort (Lincecum et al., 2010 (link)). As shown in Figure 1, our study design was briefly described in the flow chart.
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