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Contreras-Lopez, O.

Publications and source records attributed to Contreras-Lopez, O..

5 recordsLinked to original sources

Tech Note: Simplified protocol for SMARTer Pico kit

The SMARTer(R) Stranded Total RNA-Seq Kit v2 - Pico Input Mammalian kit from Takara(R) (SMARTer Pico) has proved successful and reliable in generating stranded RNA Illumina libraries from degraded total RNA and ultra-low input amounts of total RNA below detection level. Here we attempted to streamline and simplify the library prep protocol at the key fragmentation step bottleneck. Our key findings were that reduced fragmentation times neither affect the depletion efficiency, nor the library complexity. Skipping the fragmentation resulted in longer libraries when examined in the capillary electrophoresis but this was compensated for during sequencing, as long fragments are less likely to form clusters during sequencing. Skipping the fragmentation also affected the gene body coverage, where a bias to the 5 end was observed though this compromised neither the data quality, complexity nor reproducibility. Additionally, using 16 PCR cycles seems to have little effect on the library complexity. Overall, we can see that sample input is the key to library complexity and reproducibility, while fragmentation time has less impact on data. Is total RNA fragmentation needed? Is rRNA depletion affected by fragmentation time? Or affected by input? Can we get reliable data when starting with low input?

genomics↗

Isoform-Level Analysis of 10x Genomics Single-Cell cDNA Libraries from Cultured K562 Cells Using Long-Read Sequencing

Integration of Oxford Nanopore Technologies (ONT) long-read sequencing with 10x Genomics single-cell cDNA libraries enables novel transcript detection, isoform analysis and captures full-length gene body coverage. The purpose of the study was the comparison of three approaches for sequencing 10x Genomics Chromium Single Cell cDNA libraries using long-read sequencing: single-cell full-length transcript sequencing by sampling (FLT-seq), the cDNA-PCR Sequencing Kit (SQK-PCS111) and the PCR Expansion Kit (EXP-PCA001). Our aim was to evaluate their efficiency in enriching full-length cDNA fragments, identifying barcodes, detecting novel isoforms and mutations, and characterizing transcript coverage profiles.

genomics↗

Adapter dilution and input optimisation for Qiagen QIAseq miRNA Library kit

MicroRNAs (miRNAs) are small, non-coding RNA that play a critical role in regulating gene expressions that are important for a multitude of biological processes. In the preparation of miRNA sequencing libraries by using QIAseq miRNA library kit, adapter dimers might occur inadvertently and compromise the sequencing performance. In this technical note, we tested different adapter dilution strategies to minimise or diminish adapter dimers without compromising data quality. In our experiments, we found that RNA input amount plays a larger role in adapter dimer formation rather than the availability of the adapters itself. We suggest preparing the sequencing library with 10 times more RNA than the recommended input amount of the chosen protocol, e.g. following the adapter dilution and PCR cycle number of the standard 1 ng protocol with 10 ng RNA input. We also suggest analysing the data with deduplication by using unique molecular identifiers (UMIs) as it helps remove unusable reads.

genomics↗

Convergent and lineage-specific genomic changes contribute to adaptations in sugar-consuming birds

High-sugar diets cause human metabolic diseases, yet several bird lineages convergently adapted to feeding on sugar-rich nectar or fruits. We investigated the underlying molecular mechanisms in hummingbirds, parrots, honeyeaters, and sunbirds by generating nine new genomes and 90 tissue-specific transcriptomes. Comparative screens revealed an excess of repeated selection in both protein-coding and regulatory sequences in sugar-feeding birds, suggesting reuse of genetic elements. Sequence or expression changes in sugar-feeders affect genes involved in blood pressure regulation, lipid, amino acid and carbohydrate metabolism, with experiments showing functional changes in honeyeater hexokinase 3. MLXIPL, a key regulator of sugar and lipid homeostasis, showed convergent sequence and regulatory changes across all sugar-feeding clades; experiments revealed enhanced sugar-induced transcriptional activity of hummingbird MLXIPL, highlighting its adaptive role in high-sugar diets. Summary Figure: Our comparative screens across four independent sugar-feeding bird groups identified both repeated and lineage-specific targets of selection O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=65 SRC="FIGDIR/small/610474v2_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@148f5c8org.highwire.dtl.DTLVardef@1005dbaorg.highwire.dtl.DTLVardef@1097facorg.highwire.dtl.DTLVardef@9d365c_HPS_FORMAT_FIGEXP M_FIG C_FIG

evolutionary biology↗

Long-read whole genome analysis of human single cells

With long-read sequencing, we have entered an era where individual genomes are routinely assembled to near completion and where complex genetic variation can efficiently be resolved. Here, we demonstrate that long reads can be applied to study the genomic architecture of individual human cells. Clonally expanded CD8+ T-cells from a human donor were used as starting material for a droplet-based multiple displacement amplification (dMDA) to generate long molecules with minimal amplification bias. PacBio HiFi sequencing generated up to 20 Gb data and 40% genome coverage per single cell. The data allowed for accurate detection and haplotype phasing of single nucleotide variants (SNVs), structural variants (SVs), and tandem repeats, including in genomic regions inaccessible by short reads. Somatic SNVs were detected in the nuclear genome and mitochondrial DNA. An average of 1278 high-confidence SVs per cell were discovered in the PacBio data, nearly four times as many compared to those found in Illumina dMDA data from clonally related cells. Single-cell de novo assembly resulted in a genome size of up to 598 Mb and 1762 (12.8%) complete gene models. In summary, the work presented here demonstrates the utility of whole genome amplification combined with long-read sequencing toward the characterization of the full spectrum of genetic variation at the single-cell level.

genomics↗