Literature DB >> 33870233

Application of high-throughput 5'P sequencing for the study of co-translational mRNA decay.

Yujie Zhang1, Vicent Pelechano1.   

Abstract

mRNA degradation is connected to the translation process up to the degree that 5'-3' mRNA degradation follows the last translating ribosome. To study 5'-3'co-translational mRNA decay and the associated ribosome dynamics, here we present an improved high-throughput 5'P degradome RNA sequencing protocol (HT-5Pseq). We exemplify its application in Saccharomyces cerevisiae, but in principle, it could be applied to any other eukaryotic organism. HT-5Pseq is easy, scalable, and uses affordable duplex-specific nuclease-based rRNA depletion. For complete details on the use and execution of this protocol, please refer to Zhang and Pelechano (2021).
© 2021 The Author(s).

Entities:  

Keywords:  Gene Expression; RNAseq; Sequencing

Mesh:

Substances:

Year:  2021        PMID: 33870233      PMCID: PMC8044721          DOI: 10.1016/j.xpro.2021.100447

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


Before you begin

Overview of the protocol

HT-5Pseq captures in vivo 5′P mRNA degradation intermediates by ligating an RNA oligo to the exposed 5′P. After ligation, the RNA molecules are reverse-transcribed to cDNA using oligo-dT and random hexamer as primers. After cDNA library generation, cDNA generated from abundant rRNA molecules is removed using duplex-specific nuclease (DSN) and custom designed DNA probes. The remaining cDNA molecules are used as template for Illumina compatible sequencing library preparation (Figure 1).
Figure 1

Detailed HT-5PSeq library workflow

Detailed HT-5PSeq library workflow

Prepare rRNA depletion probes mix

Timing: 1 h Prepare the rRNA depletion probes mix: Mix equal volumes of the equimolar probes. Dilute probes mix from 200 μM to final 2 μM before use. Here we use rRNA depletion probes (Table 1) designed for S. cerevisiae. However, it is possible to design rRNA depletion probes for the organism of interest.
Table 1

rRNA depletion oligos for S. cerevisiae

Oligo NameSequence 5′ to 3′
5.8S-1TATTCCAGGGGGCATGCCTGTTTGAGCGTCATT
5S-1ACCATACGCGAAACTCAGGTGCTGCAATCT
15S-1GTAAAAAATTTATAAGAATATGATGTTGGTTCA
15S-2TCAGATTAAGCGCTAAATAAGGACATGACACAT
18S-1GTTT GACCTCAAATCAGGTAGGAGTACCCGCTGAACT
18S-2AAACTTTCAACAACGGATCTCTTGGTTCTCG
18S-3TATCTGGTTGATCCTGCCAGTAGTCATATGCTTGTC
18S-4CAAAGATTAAGCCATGCATGTCTAAGTATAAGC
18S-5CAGTGAAACTGCGAATGGCTCATTAAATCAG
18S-6CATGGTATAACTGTGGTAATTCTAGAGCTAATACATGC
18S-7ACCCTTTGGAAGAGATGTATTTATTAGAT
18S-8TGATGATTCATAATAACTTTTCGAATCGCATGGC
18S-9TGGCGATGGTTCATTCAAATTTCTGCCCTATCAACTT
18S-10TCCTAATTCAGGGAGGTAGTGACAATAAATAACGA
18S-11TACCTTAACGAGGAACAATTGGAGGGCAAGTC
18S-12AGCAGCCGCGGTAATTCCAGCTCCAATAGC
18S-13CGTGTACTGGATTTCCAACGGGGCCTTT
18S-14TTGAAAAAATTAGAGTGTTCAAAGCAGGCGT
18S-15TTGCTCGAATATATTAGCATGGAATAATAGAAT
18S-16GTAATGATTAATAGGGACGGTCGGGGGCAT
18S-17TGCCAAGGACGTTTTCATTAATCAAGAACGA
18S-18ACTATGCCGACTAGGGATCGGGTGGTGTT
18S-19CTCGGCACCTTACGAGAAATCAAAGTC
18S-20AGGTCCAGACACAATAAGGATTGACAGATTGA
18S-21AGTTGGTGGAGTGATTTGTCTGCTTAATTGC
18S-22CGCTACACTGACGGAGCCAGCGAGTCTAACC
25S-1GACCTCAAATCAGGTAGGAGTACCCGCTGAACT
25S-2GGAAAAGAAACCAACCGGGATTGCCTTAG
25S-3CTTGGAACAGGACGTCATAGAGGGTGAGAATC
25S-4AGAGTCGAGTTGTTTGGGAATGCAGCTCTAAGT
25S-5CAGTGATGGAAAGATGAAAAGAACTTTGAAAAG
25S-6TCTAACGTCTATGCGAGTGTTTGGGTGTAAAAC
25S-7CAAGAGGTGCACAATCGACCGATCCTGATGT
25S-8ATCGAACCATCTAGTAGCTGGTTCCTGCCGAAGT
25S-9ACGTAGAGTTAAGGTGCCGGAATACACGCTC
25S-10ATATGGATTCTTCACGGTAACGTAACTGAATG
25S-12TCCACAGGAAGGAATAGTTTTCATGCCAGGTCGTAC
25S-13TCAAAGTGAAGAAATTCAACCAAGCGCGGGTAA
25S-14GAGGGTGTAGAATAAGTGGGAGCTTCGGCGC
25S-15ATAGGGAACGTGAGCTGGGTTTAGACCGTCG
25S-16CTCTTCCTATCATACCGAAGCAGAATTCGG
25S-17ACACAATATAGATGGATACGAATAAGGCGTC
25S-18TACTGATGAATGTTACCGCAATAGTAATTG
25S-19GAGGAACAGTTCATTCGGATAA
25S-20AATCATTTGTATACGACTTAGATGTACAACGGG
21S-1GTAAAAAGTAGAATAATAGATTTGAAATA
21S-2TAGATTTAAAGAGATAATCATGGAGTATAA
21S-3TATAAACTAATAAAGATCAGG
21S-4CCGTAATGTAGACCGACTCAGGTATGTAAGTA

The mixed rRNA depletion oligos used in Step 27. The stock concentration is 200 μM. Working concentration is 2 μM.

rRNA depletion oligos for S. cerevisiae The mixed rRNA depletion oligos used in Step 27. The stock concentration is 200 μM. Working concentration is 2 μM.

Key resources table

Materials and equipment

LET lysis buffer Filter sterilize the LET lysis buffer. Use RNAse-free water. Possible for long term storage at 20°C–25°C.

Step-by-step method details

RNA extraction

Timing: 2 h Obtain total RNA from sample of interest Harvest 1.5 mL cells from mid-log grown yeast (OD600 density ~ 0.6–0.8) using a standard bench microcentrifuge at 30 s, 8000 rpm at room temperature. Extract total RNA using phenol-chloroform extraction method. Set up the following tubes: Tube 1: 500 μL phenol:chloroform:IAA (125:24:1) Tube 2: 500 μL chloroform:IAA (24:1) Tube 3: 40 μL 3M NaOAc (made with nuclease-free H2O) Add (approx. 200 μL) of glass beads and 150 μL LET in yeast cell pellet. Add 150 μL phenol. Vortex at 20°C–25°C in vortex mixer for 2 min at top speed. Add 250 μL nuclease-free H2O and 250 μL phenol:chloroform:IAA. Vortex in vortex mixer for additional 2 min followed by centrifugation at 4°C for 2 min at 14,000 × g. Remove aqueous phase (approx. 450 μL) and add to Tube #1. Vortex 30 sec and spin 1 min at 14,000 × g. Remove aqueous phase and add to Tube #2. Vortex 30 sec and spin 1 min at 14,000 rpm. Remove aqueous phase (approx. 400 μL) and add to Tube #3 mix well. Add 1 mL 95% (vol/vol) ethanol, mix and place at −20°C/−80°C, 30 min. Collect RNA by centrifugation at 4°C for 20 min at 14,000 × g. Wash pellet with 500 μL 70% (vol/vol) cold ethanol and re-centrifuged for 10 min. Drain supernatant and air-dry pellet for ~ 3 min. Resuspend pellet in 10 μL nuclease-free water. CRITICAL: Phenol and Chloroform are acute toxic. Be careful when handling phenol and chloroform, always wear gloves, lab coat and perform manipulations following local safety regulations in fume hood. CRITICAL: To avoid RNA degradation, perform RNA extraction with phenol:chloroform as fast as possible. Check RNA quality by running a Bioanalyzer RNA gel or an agarose gel. Any alternative approach producing high-quality RNA may be used instead.

Removal of DNA from RNA samples

Timing: 45 min Any contaminant DNA is removed from the sample. Starting with 6 μg of total RNA, prepare the following mix and incubate the samples for 20 min at 37°C. It is possible to lower starting material to 500 ng in total. However, low input material usually decreases library complexity and increase the PCR duplicates. Add 2 μL of TURBO DNAse inactivation reagent and incubate 5 min at 20°C–25°C (tapping once in a while). Centrifugate at 14,000 × g for 2 min at 20°C–25°C and transfer the supernatant to a clean precooled tube. This pellet is normally quite loose, repeat the centrifugation if it is resuspended and avoid the carryover of any DNase inactivation reagent. Ethanol precipitate the DNA-free RNA by adding 2.5 volumes (with respect to the sample volume) of 95% (vol/vol) ethanol, a 1/10 volume of 3 M sodium acetate, 1 μL of glycoblue. Mix sample by gently inverting and incubate it for minimum 30 min at −20°C/−80°C. Pause point: The ethanol precipitation can be left 16–18 h at −20°C/−80°C. Centrifugate at 14,000 × g for 30 min at 4°C to precipitate the RNA. Wash the pellet with 500 μL of cold 70% (vol/vol). Centrifugate 14,000 × g for 10 min at 4°C. Remove the remaining ethanol, air-dry pellet for 3 min and resuspend it in 1.8 μL of RNAse-free water. If the next step is the single-strand RNA ligation, RNA can be directly resuspended in ligation mix (step 11) and top up RNAse-free water to 10 μL . CRITICAL: When handling with RNA samples, always keep them in RNase-free environment and place samples on ice.

Single-strand RNA ligation

Timing: 2 h 5′ phosphate molecules are ligated with RNA oligos including unique molecular identifiers (UMI). Prepare a 10 μL reaction mix with the components listed below: CRITICAL: Add PEG provided by T4 RNA ligase 1 in the end of the reaction mix, as it is sticky at high concentration. Incubate sample at 25°C for 2 h. Increase the sample volume with RNase-free water to 40 μL. Purify the sample using 1.8× volumes of RNAClean XP beads, as described by the manufacturer’s instruction. Add 72 μL of RNAClean XP beads and mix sample by several times pipetting up and down. Incubate at 20°C–25°C for 5 mins until RNA bind to beads. Place the PCR tubes at the magnets stand and wait till the solution is clear (~2 mins) Remove the supernatant. Wash beads twice with 200 μL of freshly made 70% (vol/vol) ethanol. Remove the ethanol and let the beads slightly dry for 1 min. Elute samples in 12 μL RNase-free water. avoid over drying the beads as that might result in sample loss.

Reverse transcription

Timing: 1.5 h cDNA library is transcribed by the defined ratio of oligo-dT and random hexamer. Prepare a reaction mix as the components listed below: CRITICAL: This optimized ratio of oligo-dT and random hexamer increase coverage in the 3′ region of the gene. Altering the ratio of oligo-dT and random hexamer will lead to differences in the relative 5′/3′ coverage. Denature the sample at 65°C for 5 min. Then place on ice directly. To each tube, add 6.2 μL of mixture containing the following components: Add 1 μL of SuperScript II reverse transcriptase to each tube. Incubate the sample at 25°C for 10 min, 42°C for 50 min and inactivate reaction at 70°C for 15 min. Any commonly reverse transcriptase could be used instead of SuperScript II. Pause point: Samples can be stored at −20°C.

Remove template RNA

Timing: 0.5 h Removing any excess of RNA, avoids that cDNA-RNA duplexes are degraded during duplex-specific nuclease (DSN) treatment. Remove the template RNA by adding 100 mM NaOH (8 μL) to the sample (from step 21), and incubate at 65°C for 20 min. Neutralized sample by adding 100 mM Tris-HCl, pH = 7.0 (8 μL). It is also possible to remove excess RNA in cDNA-RNA duplex by using RNaseH. Purify the sample using 1.8× volumes of Ampure XP beads, as described by the manufacturer’s instruction. Add 64.8 μL of Ampure XP beads and mix sample by several times pipetting up and down. Incubate at 20°C–25°C for 5 mins until samples bind to beads. Place the PCR tubes at the magnets stand and wait till the solution is clear (~2 mins). Remove the supernatant. Wash beads twice with 200 μL of freshly made 70% (vol/vol) ethanol. Remove the residual ethanol and allow the beads to slightly dry for 1 min. Elute in 8 μL of RNase-free water. avoid over drying the beads as that might result in sample loss. If Ampure XP beads is not available, alternative beads such as MagSi magnetic beads (cat: MDKT00010075) can also be used.

Duplex-specific nuclease (DSN) for rRNA depletion

Timing: 0.5 h rRNA depletion is based on the designed DNA probes targeting ribosomal RNA (i.e., RDN18, RDN25, RDN5.8, RDN5). Set up the following 16 μL reaction: CRITICAL: The concentration of rRNA depletion probe mix is optimized for using 6 μg of total RNA as starting material. If the input RNA increases, the rRNA depletion probes should increase accordingly. The ratio between depletion probe mix and targeted molecules (cDNA) is around 2:1. Denature sample for 2 min at 98°C using thermocycler. Incubate the sample for 5 min at 68°C. Add pre-warmed (2 min at 68°C) mix containing the following components: CRITICAL: To avoid unspecific binding of probes to cDNAs during the treatment and thus unspecific degradation, it is critical to keep the reaction temperature at 68°C when mixing samples (from step 27 ) with DSN enzyme mix (from step 30). Pre-warm the reaction mix, using a separate PCR block and keep samples in the thermocycler when adding the pre-warmed mix. Mix sample by pipetting several times and incubate for 20 min at 68°C in a thermocycler. To inactivate DSN enzyme, add 20 μL of DSN stop solution (2×), mix contents and spin the tube briefly in a micro-centrifuge. Incubate the sample for 10 min at 68°C temperature. Purify the sample using 1.8× volumes of Ampure XP beads, as described by the manufacturer’s instruction. Add 72 μL of Ampure XP beads and mix sample by several times pipetting up and down. Incubate at 20°C–25°C for 5 mins until samples bind to beads. Place the PCR tubes at the magnets stand and wait till the solution is clear (~2 min). Remove the supernatant. Wash beads twice with 200 μL of freshly made 70% (vol/vol) ethanol. Remove the residual ethanol and allow the beads to slightly dry for 1 min. Elute in 9.6 μL of RNase-free water. Note: avoid over drying the beads as that might result in sample loss.

Library PCR amplification

Timing: 1.5 h PCR is used to generate an Illumina compatible sequencing library To amplify the library by PCR, prepare the following mix: CRITICAL: To increase the sequencing complexity per sample and enable multiplexing, we use different oligos for each sample (PE2_MPX, Table 2). This also applies to dual index barcoding with PE1 compatible multiplexing oligos. To better multiplex samples and avoid base calling issues afterwards, please use different barcodes for sequencing base composition balance. For more detailed information related to base composition balance, please check on Illumina website.
Table2

Oligonucleotides used for HT-5Pseq library preparation

Primer namePurposeSequence (5′-3′)
RNA_rP5_RNDTo add UMI and common sequence to the RNAs (step 11)rCrUrUrUrCrCrCrUrArCrArCrGrArCrGrCrUrCrUrUrCrCrGrArUrCrUrNrNrNrNrNrNrNrN
5Pseq-dTTo do reverse transcription by using oligo-dT and add common sequence to the libraries (step 17)GTGACTGGAGTTCAGACGTGTGCTC TTCCGATCT TTTTTTTTTT
5Pseq-RTTo do reverse transcription by using random hexamer and add common sequence to the libraries (step 17)GTGACTGGAGTTCAGACGTGTGCTC TTCCGATCT NNNNNN
Illumina compatible PE1.0To generate library by PCR (step 37)ATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCT
PE2_MPX_01To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCGTGATGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_02To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATACATCGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_03To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGCCTAAGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_04To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATTGGTCAGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_05To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCACTGTGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_06To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATATTGGCGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_07To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGATCTGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_08To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATTCAAGTGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_09To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCTGATCGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_10To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATAAGCTAGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_11To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGTAGCCGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_12To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATTACAAGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_13To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATTTGACTGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_14To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGGAACTGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_15To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATTGACATGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_16To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGGACGGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_17To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCTCTACGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_18To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGCGGACGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_19To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATTTTCACGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_20To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGGCCACGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_21To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCGAAACGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_22To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCGTACGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_23To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCCACTCGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_24To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGCTACCGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_25To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATATCAGTGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_26To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATGCTCATGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_27To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATAGGAATGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_28To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCTTTTGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_29To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATTAGTTGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT
PE2_MPX_30To add multiplex barcode by PCR (step 37)CAAGCAGAAGACGGCATACGAGATCCGGTGGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT

refers to S-linkage between the two bases r refers to a RNA base. Barcodes are identified in bold black. Sequences are represented in 5′ to 3′orientation. # Oligonucleotide sequences © 2006–2021 Illumina, Inc. All rights reserved.

Any good quality used thermostable DNA polymerase used for sequencing library preparation could be used instead. Run the following PCR program: Bring the volume to 100 μL with nuclease-free water. Add 0.7× Ampure XP beads to the sample to bind the long DNA molecules. For 100 μL of sample, add 70 μL of beads and mix by pipetting. Incubate at 20°C–25°C for 5 mins. Place the PCR tube on the magnets stand and wait till the solution is clear. Transfer the supernatant to a new tube. CRITICAL: At this moment, the molecules of interest are in the supernatant, not on the beads. Add with 0.2× Vol. (respect to the original sample volume) of Ampure XP beads (20 μL respect to 100 μL) to the recovered supernatant from step 41. Mix the sample by pipetting up and down and incubate at 20°C–25°C for 5 mins. Place the PCR tubes at the magnets stand and wait till the solution is clear (~2 mins). Remove the supernatant Wash beads twice with 200 μL of freshly made 70% (vol/vol) ethanol. Remove the residual ethanol and allow the beads to slightly dry for 1 min. Elute in 10 μL in water or EB buffer (10 mM Tris-HCl, pH 8.0). Measure the final library concentration by Qubit using the dsDNA HS assay kit and check the size distribution by Bioanalyzer. Sequence the libraries using pair-end 75 cycles Illumina NextSeq 500. For pair-end 75 cycles sequencing in this case, using 60 bp for read1 and 15 bp for read2. Read2 will identify the molecule primed by either oligo-dT or random hexamer. In general, we recommend at least 6 million raw reads per yeast sample. Any alternative Illumina platform could be used instead of a NextSeq 500. Read sequencing length can be altered depending on the complexity of the genome of interest and the ability to uniquely map reads to the genome. Oligonucleotides used for HT-5Pseq library preparation refers to S-linkage between the two bases r refers to a RNA base. Barcodes are identified in bold black. Sequences are represented in 5′ to 3′orientation. # Oligonucleotide sequences © 2006–2021 Illumina, Inc. All rights reserved.

Expected outcomes

This protocol will generate sequencing libraries of 5′P mRNA degradation intermediates, detailed workflow is shown in Figure 1. In the final HT-5Pseq library, the average size is expected to be around 450 bp, including 150 bp Illumina adapter sequences (Figure 2). The expected concentration of library can be 0.5–2 ng/μL. The sequencing depth required will depend on the library complexity and analysis requirement. By mapping HT-5Pseq reads to the reference genome, the expected results are as following: 1) reads coverage is distributed along the whole mRNA regions (Figure 3); 2) rRNA contamination of HT-5Pseq library is less than 12%–20% (Figure 4); 3) A clear 3-nt pattern can be observed with respect to specific codons, including start and stop codon at metagene level (Figure 5); 4) Codon-specific/amino acid specific pausing can be extracted with respect to specific codons.
Figure 2

Example of a size-selected HT-5PSeq pool libraries (step 45)

Figure 3

Example of HT-5PSeq reads visualized by IGV (Thorvaldsdóttir et al., 2013) for S. cerevisiae

Two Biological replicates are shown.

Figure 4

Distribution of mRNA, rRNA reads in S. cerevisiae HT-5Pseq after rRNA depletion

NonDSN refers to control libraries omitting DSN rRNA depletion. NonProbe refers to libraries treated with DSN but omitting the depletion oligos (Data from (Zhang and Pelechano, 2021)). Two biological replicates are shown.

Figure 5

HT-5Pseq reveals ribosome dynamics at codon resolution (Data from (Zhang and Pelechano, 2021))

(A) Metagene analysis for 5 ´P read coverage relative to arginine (CGA). Dotted lines at -17 corresponding to the expected 5′ end of protected ribosome located at A site.

(B) 3-nt periodicity shown in 5′P read by Fourier transform calculation.

Example of a size-selected HT-5PSeq pool libraries (step 45) Example of HT-5PSeq reads visualized by IGV (Thorvaldsdóttir et al., 2013) for S. cerevisiae Two Biological replicates are shown. Distribution of mRNA, rRNA reads in S. cerevisiae HT-5Pseq after rRNA depletion NonDSN refers to control libraries omitting DSN rRNA depletion. NonProbe refers to libraries treated with DSN but omitting the depletion oligos (Data from (Zhang and Pelechano, 2021)). Two biological replicates are shown. HT-5Pseq reveals ribosome dynamics at codon resolution (Data from (Zhang and Pelechano, 2021)) (A) Metagene analysis for 5 ´P read coverage relative to arginine (CGA). Dotted lines at -17 corresponding to the expected 5′ end of protected ribosome located at A site. (B) 3-nt periodicity shown in 5′P read by Fourier transform calculation.

Quantification and statistical analysis

Here we provide a potential bioinformatic pipeline for 5′Pseq data. De-multiplex raw data using the indexing information: Using bcl2fastq (v2.20.0) for base-calling. We recommend allowing 1 mismatch in index 1 and 1 mismatch in index2. Trim sequencing adaptor: Use cutadapt V1.16 to trim sequencing adapter (-a AGATCGGAAGAGCACACGTCTGAACTCCAGTC). Extract UMI: Use UMI-tools (v0.5.4) to extract 8-nt random barcodes on the 5′ ends of reads. These UMI information will be used to remove PCR duplicates. Align sequencing reads: Use star/2.7.0 (Dobin et al., 2013) to align 5′-end reads to reference genome (SGD R64-1-1 for S. cerevisiae genome). For mapping the 5′-ends reads to the genome, we recommend using the parameter --alignEndsType Extend5pOfRead1 to exclude soft-clipped bases on the 5′end. Remove PCR duplicates: Use UMI-tools (v0.5.4) to remove duplicated 5′ ends of read introduced by PCR during library preparation. Quantify transcripts: Use Subread package (featureCounts) (Liao et al., 2014) to count mRNA, tRNA, rRNA and snRNA and snoRNA transcripts. Use DESeq2 packages from R and Bioconductor (Love et al., 2014) to perform differential gene expression analysis. Analysis 5′ ends positions: Use Fivepseq package to map 5′ ends with respect to start, stop codon and codons at metagene level (Nersisyan et al., 2020).

Limitations

Although HT-5PSeq offers high quality degradome information at a fraction of the costs and with significantly decreased hands-on time in comparison with standard 5PSeq (Pelechano et al., 2015), this approach has several limitations that need to be accounted for. Firstly, the main limitation is that HT-5Pseq approach focus on the subpopulation of 5′ end of mRNA undergoing decay. Therefore, any exposed 5′P end of molecule can be captured independent of their relationship with co-translation degradation process. Next, HT-5Pseq measures the kinetics competition of 5′-3′ degradation machinery and ribosome, therefore we do not recommend this approach to directly measure absolute translation rates. However, we have shown that the last translating ribosome during co-translational decay can infer the general ribosome dynamics (Pelechano et al., 2015). Thirdly, as the abundance of 5′P end molecule depends on both translation and mRNA stability, any factor involved in those process can affect the observed 5′P seq profile. For example, when investigating mRNA degradation profiles in xrn1Δ the ribosome associated 3-nt pattern is greatly decreased (Pelechano et al., 2015). In xrn1Δ the observed 5′P profiles reflects a combination of transcription start site mapping (as expected from the exposed 5′P after decapping) complemented by other endonucleolitica cleavages events. In addition, HT-5Pseq libraries may vary in library complexity as a result of the variation of fractions on mRNA degradation intermediates present in a sample in respect to the total RNA. For example, HT-5PSeq libraries from xrn1Δ cells are in general more complex, as 5′P mRNA degradation intermediates are not efficiently removed and thus represent a higher proportion of the total RNA population. To control for this, we add UMI during the RNA ligation step. If a lower fraction of mRNA degradation intermediates is expected, we recommend increasing the amount of total RNA starting material.

Troubleshooting

Problem 1

RNA degradation

Potential solution

When handling with RNA samples, always keep RNA on the ice. Check the RNA integrity of RNA extraction. Use RNase inhibitor during the protocol (steps 11 and 19) and aliquot RNase-free reagents. Perform RNA extraction with phenol-chloroform (step 1) as fast as possible.

Problem 2

Low yield DNA library (step 45) If starting RNA is less, increase the starting RNA amount. Inefficient removal of RNA template (step 22), this will loss the cDNA library after DSN treatment. Optimize RNA removal steps (step 22). Increase few PCR cycles in PCR amplification steps (step 38). Final PCR cycles should be less than 20 cycles. For bead cleanup, do not over dry the beads. That might lead to sample loss.

Problem 3

Large number of rRNA reads DNA leftover in RNA sample can potential saturate DSN enzymatic activity (step 27). This may decrease the rRNA depletion efficiency. Perform DNase treatment to RNA samples (step 3). Optimize DSN for rRNA depletion if using custom depletion probes (step 27–36). Optimize mix annealing temperature (steps 29–30) based on the melting temperature of newly designed probes. Mix samples with probes by pipetting and keep them on the thermocycle at the selected temperature.

Problem 4

Large number of PCR duplicates Increase the input RNA material to increase the complexity. Decrease the final PCR cycles (from step 38) that will increase the useful reads.

Problem 5

Biased 5′P reads to 3′ end If the 5′P reads biased towards to 3′, decrease the usage of oligo-dT in reverse-transcription (step 17) to get more homogenous distribution profile.

Resource availability

Lead contact

Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Vicent Pelechano (vicente.pelechano.garcia@ki.se) .

Materials availability

This study did not generate new unique materials nor reagents.

Data and code availability

The raw and processed sequencing data are deposited at GEO with accession number GSE152375.
REAGENT or RESOURCESOURCEIDENTIFIER
Chemicals, peptides, and recombinant proteins

Ethanol absolute ≥99.8%VWR20821.330
Glass beads, acid-washedSigma-AldrichG8772
Acid-Phenol:Chloroform, pH 4.5 (with IAA, 125:24:1)Thermo Fisher ScientificAM9722
dNTP set, 100 mM solutionThermo Fisher ScientificR0181
Phenol solution. Saturated with 0.1M citrate buffer, pH 4.3 ± 0.2Sigma-AldrichP4682
Chloroform:isoamyl alcohol 24:1Sigma-AldrichC0549
Sodium acetate buffer solution, pH 5.3Sigma-AldrichS7899
Glycoblue coprecipitant (15 mg/mL)Thermo Fisher ScientificAM9515
Nuclease-free water, not DEPC treatedThermo Fisher ScientificAM9937
RiboLock RNase inhibitor 40 000U/mLThermo Fisher ScientificEO0382
Turbo DNase kitThermo Fisher ScientificAM1907
T4 RNA ligase 1NEBM0204L
SuperScript™ II Reverse TranscriptaseThermo Fisher Scientific18064071
Phusion®High-Fidelity PCR Master MixNEBM0531S
AMPure XPBeckman CoulterA63881
RNAClean XPBeckman CoulterA63987
Duplex-specific nucleaseEvrogenEA002

Critical commercial assays

High Sensitivity DNA kitAgilent5067-4626
Qubit™ dsDNA HS Assay KitThermo Fisher ScientificQ32854
Qubit™ RNA HS assay kitThermo Fisher ScientificQ32852

Deposited data

The raw and processed sequencing dataThis paperGEO: GSE152375

Experimental models: organisms/strains

Saccharomyces cerevisiae strains: BY4741:(MATa his3Δ1 leu2Δ0 met15Δ0 ura3Δ0)NANA

Oligonucleotides

See Tables 1 and 2This paperN/A

Software and algorithms

Fivepseq packageGitHubNersisyan et al., 2020
bcl2fastq v2.20.0Illuminahttps://emea.support.illumina.com/sequencing/sequencing_software/bcl2fastq-conversion-software.html
CutadaptGitHubhttps://github.com/marcelm/cutadapt/
UMI-toolsGitHubSmith et al., 2017
STAR 2.7.0GitHubDobin et al., 2013
DESeq2BioconductorLove et al., 2014
Subread packageGitHubLiao et al., 2014
IGVhttps://igv.orgThorvaldsdóttir et al., 2013
RStudio version 3.5.0RStudio, Inc., Boston, MAN/A

Equipment

Refrigerated benchtop centrifugeN/AN/A
Thermo-blockN/AN/A
Agilent Bioanalyzer 2100AgilentBioanalyzer 2100
Chemical hoodN/AN/A
Qubit FluorometerInvitrogenQuBit 2.0
Magnet stand for PCR tubesN/AN/A
Vortex mixerScientific IndustriesVortex-Genie 2

LET lysis buffer

ReagentFinal Concentration
Tris, pH 8.025 mM
EDTA, pH 8.020 mM
LiCl100 mM
ReagentFinal ConcentrationAmount
TURBO DNAse buffer (10×)1×1 μL
TURBO DNAse (2 U/μL)0.06 U/μL0.3 μL
Ribolock (40 U/μL)1.2 U/μL0.3 μL
Sample RNA0.7 μg/μL8.4 μL
Total10 μL
ReagentFinal ConcentrationAmount
T4 RNA ligase buffer (10×)1×1 μL
rP5 _RND oligo (100 μM)10 μM1 μL
ATP (10 mM)1 mM1 μL
Ribolock (40 U/μL)0.8 U/μL0.2 μL
T4 RNA ligase 1 (10 U/μL)1 U/μL1 μL
PEG8000 (50%)20%4 μL
DNA-free RNA sample1.8 μL
Total10 μL
ReagentFinal ConcentrationAmount
Total ligated RNA10.6 μL
5PSeq RT oligo (20 μM)1 μM1 μL
5PSeq dT oligo (0.05 μM)0.5 nM0.2 μL
dNTPs (10 mM)0.05 mM0.1 μL
Total12.8 μL
ReagentFinal ConcentrationAmount
First-strand buffer (5×)1×4 μL
DTT (100 mM)10 mM2 μL
Ribolock (40 U/μL)0.4 U/μL0.2 μL
Total6.2 μL
ReagentFinal ConcentrationAmount
Yeast rRNA depletion Probes (2 μM)0.5 μM4 μL
DSN master buffer (4×)1×4 μL
Sample from 268 μL
Total16 μL
ReagentFinal ConcentrationAmount
DSN enzyme (1 U/μL)0.25 U/ μL1 μL
DSN master buffer(4×)1×1 μL
H2O2 μL
Total4μL
ReagentFinal ConcentrationAmount
Phusion high-fidelity PCR master-mix (2×)1×10 μL
Illumina compatible PE1.0 (10 μM)0.1 μM0.2 μL
Illumina compatible PE2_MPX (10 μM)0.1 μM0.2 μL
Sample (from step 36)9.6 μL
Total20 μL
PCR Cycling Conditions
StepsTemperatureTimeCycles
Initial Denaturation98°C30 sec1
Denaturation98°C20 sec14–18 cycles
Annealing65°C30 sec
Extension72°C30 sec
Final extension72°C7 min1
Hold4°C
  7 in total

1.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

Authors:  Yang Liao; Gordon K Smyth; Wei Shi
Journal:  Bioinformatics       Date:  2013-11-13       Impact factor: 6.937

2.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

3.  Improved computational analysis of ribosome dynamics from 5'P degradome data using fivepseq.

Authors:  Lilit Nersisyan; Maria Ropat; Vicent Pelechano
Journal:  NAR Genom Bioinform       Date:  2020-11-24

4.  Widespread Co-translational RNA Decay Reveals Ribosome Dynamics.

Authors:  Vicent Pelechano; Wu Wei; Lars M Steinmetz
Journal:  Cell       Date:  2015-06-04       Impact factor: 41.582

5.  Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration.

Authors:  Helga Thorvaldsdóttir; James T Robinson; Jill P Mesirov
Journal:  Brief Bioinform       Date:  2012-04-19       Impact factor: 11.622

6.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

7.  UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy.

Authors:  Tom Smith; Andreas Heger; Ian Sudbery
Journal:  Genome Res       Date:  2017-01-18       Impact factor: 9.043

  7 in total

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