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Summary

This protocol describes a workflow from ex vivo or in vitro cell cultures to transcriptomic data pre-processing for cost-effective transcriptome-based drug screening.

Abstract

Transcriptomics allows to obtain comprehensive insights into cellular programs and their responses to perturbations. Despite a significant decrease in the costs of library production and sequencing in the last decade, applying these technologies at the scale necessary for drug screening remains prohibitively expensive, obstructing the immense potential of these methods. Our study presents a cost-effective system for transcriptome-based drug screening, combining miniaturized perturbation cultures with mini-bulk transcriptomics. The optimized mini-bulk protocol provides informative biological signals at cost-effective sequencing depth, enabling extensive screening of known drugs and new molecules. Depending on the chosen treatment and incubation time, this protocol will result in sequencing libraries within approximately 2 days. Due to several stopping points within this protocol, the library preparation, as well as the sequencing, can be performed time-independently. Processing simultaneously a high number of samples is possible; measurement of up to 384 samples was tested without loss of data quality. There are also no known limitations to the number of conditions and/or drugs, despite considering variability in optimal drug incubation times.

Introduction

The development of new drugs is a complex and time-consuming process that involves identifying potential drugs and their targets, optimizing and synthesizing drug candidates, and testing their efficacy and safety in preclinical and clinical trials¹. Traditional methods for drug screening, i.e., the systematic assessment of libraries of candidate compounds for therapeutic purposes, involve the use of animal models or cell-based assays to test the effects on specific targets or pathways. While these methods have been successful in identifying drug candidates, they often did not provide sufficient insights into the complex molecular mechanisms underlying drug efficacy and also toxicity and mechanisms of potential side effects.

Assessing genome-wide transcriptional states presents a powerful approach to overcome current limitations in drug screening, as it enables comprehensive assessments of gene expression in response to drug treatments². By measuring RNA transcripts in a genome-wide fashion expressed at a given time, transcriptomics aims to provide a holistic view of the transcriptional changes that occur in response to drugs, including changes in gene expression patterns, alternative splicing, and non-coding RNA expression³. This information can be used to determine drug targets, predict drug efficacy and toxicity, and optimize drug dosing and treatment regimens.

One of the key benefits of combining transcriptomics with unbiased drug screening is the potential to identify new drug targets that have not been previously considered. Conventional drug screening approaches often focus on established target molecules or pathways, hindering the identification of new targets and potentially resulting in drugs with unforeseen side effects and restricted effectiveness. Transcriptomics can overcome these limitations by providing insights into the molecular changes that occur in response to drug treatment, uncovering potential targets or pathways that may not have been previously considered².

In addition to the identification of new drug targets, transcriptomics can also be used to predict drug efficacy and toxicity. By analyzing the gene expression patterns associated with drug responses, biomarkers can be developed that can be used to predict a patient’s response to a particular drug or treatment regimen. This can also help to optimize drug dosing and reduce the risk of adverse side effects⁴.

Despite its potential benefits, the cost of transcriptomics remains a significant barrier to its widespread application in drug screening. Transcriptomic analysis requires specialized equipment, technical expertise, and data analysis, which can make it challenging for smaller research teams or organizations with limited funding to utilize transcriptomics in drug screening. However, the cost of transcriptomics has been steadily decreasing, making it more accessible to the research communities. Additionally, advancements in technology and data analysis methods have made transcriptomics more efficient and cost-effective, further increasing its accessibility².

In this protocol, we describe a high-dimensional and explorative system for transcriptome-based drug screening, combining miniaturized perturbation cultures with mini-bulk transcriptomics analysis^5,6. With this protocol, it is possible to reduce the cost per sample to 1/6^th of the current cost of commercial solutions for full-length mRNA sequencing. The protocol requires only standard laboratory equipment, the only exception being the use of short-read sequencing technologies, which can be outsourced if sequencing instruments are not available in-house. The optimized mini-bulk protocol provides information-rich biological signals at cost-effective sequencing depth, enabling extensive screening of known drugs and new molecules.

The aim of the experiment is to screen for drug activity on PBMCs in different biological contexts. This protocol can be applied to any biological question where several drugs should be tested with a transcriptomic readout, giving a transcriptome-wide view of the cellular effect of the treatment.

Protocol

This protocol follows the guidelines of the local ethics committees of the University of Bonn.

1. Preparation of buffers, solutions, and equipment

1. Prepare the solutions and gather the materials described in Table of Materials.
2. Heat up the water bath to 37 °C and warm up the complete growth medium (RPMI-1640 + 10% fetal calf serum (FCS) + 1% penicillin/streptomycin).
3. For cell harvesting, use ice-cold phosphate-buffered saline (PBS).
   ​NOTE: Keep a clean environment while working with cells to maintain sterility.

2. Cell handling

NOTE: A detailed protocol for the cryopreservation of peripheral blood mononuclear cells (PBMC) from human blood can be found in⁷.

1. Cell thawing and counting
   1. Remove the cryovials from liquid nitrogen and thaw them in a water bath at 37 °C for 2 – 3 min while gently inverting.
   2. Transfer the thawed cells into a 50 mL conical tube.
   3. Rinse the cryovial with 1 mL warm complete growth medium and add this solution dropwise to the cells in the tube (1^st dilution step).
   4. Repeat the dilution 1:1 until reaching a volume of 32 mL (5 dilutions total with respectively 1, 2, 4, 8, and 16 mL of warm complete growth medium). Add the medium dropwise to reduce cell disturbance while slightly agitating the conical tube.
   5. Centrifuge the cell suspension for 5 min (300 x g, 20 °C) and remove the supernatant by gently tipping the conical tube in one fluent motion.
   6. Resuspend the cells in 3 mL of warm complete growth medium and proceed with cell counting.
   7. For counting, mix 10 µL of cell suspension with Trypan Blue (1:2 to 1:10 dilution depending on the density of the cell suspension) to distinguish living from dead cells while counting. Dead or damaged cells will appear blue due to the uptake of the dye, while vital cells are not stained.
      NOTE: Trypan Blue is slightly cytotoxic, stained cells should not be stored for more than 5 min.
   8. Count the cells with either an automated cell counter or counting chamber by using 10 µL of stained cell solution.
      1. When using the Neubauer-improved cell chamber, count all cells within the four large squares located at the corners and use the following equation to calculate the concentration of the cell suspension.
         
   9. Dilute the cells to a final concentration of 1 x 10⁶ cells/mL with warm complete growth medium. Centrifuge only if the required volume is lower than 3 mL and resuspend the cell pellet to the right volume.
2. Cell seeding and treatment
   1. Seed 100 µL of cell suspension per well in a 96-well cell culture plate (1 x 10⁵ cells / well).
      NOTE: The cell number for seeding was optimized for PBMC cultures. While low cell concentrations will not yield a sufficient amount of RNA for sequencing, an excessive number of cells will increase the risk of suboptimal cell lysis and inhibition of the reverse transcription reaction.
   2. Prepare drug dilutions at a concentration two times the one used for treatment (2x). Choose the solvent according to the solubility of the compound, preferably complete growth medium.
      NOTE: PBS or dimethyl sulfoxide (DMSO) can be used if sufficient solubility cannot be reached otherwise. The maximum concentration of DMSO in the resulting incubation volume should not exceed 0.5 % to prevent cytotoxicity induced by the solvent.
   3. Add 100 µL of the 2x drug dilution (final concentration in well 1X) and incubate at 37 °C for the defined time.
      NOTE: Complementary investigations should be carried out in order to establish the optimal drug incubation time and to exclude potential mechanisms of cytotoxicity.
3. Cell harvesting and lysis
   1. Centrifuge the cell culture plate for 10 min (300 x g, 20 °C). Gently remove the supernatant with a vacuum pump keeping the plate at an angle (30°-45°) while aiming the tip at the low corner of the well to remove as little cells as possible.
   2. Wash the cells by adding 200 µL of ice-cold PBS to each well and centrifuge the plate for 5 min (300 x g, 4 °C). Remove the supernatant with a vacuum pump, again, keeping the plate at a sharp angle to remove as much PBS as possible.
   3. Prepare the lysis buffer as described in Table 1 for the number of reactions (rxn) needed, adding 10% overage.
   4. Add 15 µL of lysis buffer to each well and seal the plate with adhesive sealing film to protect the samples against contamination. Vortex the plate before centrifuging for 1 min (1000 x g, 4 °C) and incubate for 5 min on ice.
   5. Collect 6 µL of lysed cell solution in a PCR plate and shortly freeze the cell lysate at -80 °C to ensure optimal cell lysis. Be sure to avoid multiple freezing cycles of the plates.
      ​NOTE: STOPPING POINT: If cDNA production is not carried out subsequently, the cell lysate can be stored at -80 °C for up to several months without considerable decrease of RNA quality.

3. Library preparation for sequencing

1. Reverse transcriptase (RT) reaction
   NOTE: When working with RNA, place all samples on ice and be sure to use nuclease-free equipment (sterile, disposable plasticware) and water.
   1. Prepare the RT reaction mix as described in Table 2 for the number of reactions needed, adding 10% overage. Briefly vortex the mix and shortly spin it down. Keep the mix on ice until use.
   2. Thaw the cell lysate at room temperature (RT) and briefly spin it down to collect all cell lysate at the bottom of the plate.
   3. Perform mRNA denaturation on a thermocycler as per Table 3.
   4. Take the plate out of the thermocycler and shortly spin it down to collect potential condensate. Add 6 µL of RT reaction mix into each well for a final volume of 12 µL. Seal the plate to protect the plate and to avoid evaporation, vortex, and spin it down.
   5. Place the plate on the thermocycler and start the RT reaction program as per Table 3.
2. Pre-amplification
   1. Thaw the high-fidelity DNA polymerase and in-situ PCR (ISPCR) primer at room temperature.
   2. Prepare the pre-amplification mix as per Table 4 for the number of reactions needed, adding 10% overage. Briefly vortex the mix and spin it down.
      NOTE: The enzyme mix is stable at room temperature for hours.
   3. Spin down the PCR plate, add 15 µL of the pre-amplification mix to each well and seal the plate.
   4. Place it on the thermocycler and start the pre-amplification reaction as per Table 5.
      1. Adjust the number of cycles due to RNA content. Start with a lower number and increase if cDNA yield is not sufficient.
         NOTE: In our experience, optimal number of cycles should be established for each cell type, experimental condition and treatment will not influence the optimal number of cycles. We, therefore, recommend establishing the optimal number of cycles experimentally when establishing this protocol for a new cell type. In general, primary cells will require a higher number of cycles compared to cell lines. STOPPING POINT: The pre-amplification product can be stored at – 20 °C.
3. cDNA clean-up and quality control (QC)
   NOTE: Sample clean-up can be performed sequentially for each plate as the samples are rather stable at this stage. Increasing the number of samples will lead to a longer duration of the protocol but will not limit the number of samples that can be processed simultaneously.
   1. Before starting, bring the magnetic purification beads to room temperature and vortex on high speed for 1 min to fully resuspend the beads.
   2. Add 0.8x v/v (20 µL) magnetic purification beads to each well and incubate at room temperature for 5 min.
   3. Place the PCR plate on a magnetic rack for 5 min until the beads are fully separated. Remove the supernatant carefully.
   4. Keeping the plate on the magnetic rack, gently add 100 µL of freshly prepared 80% ethanol to wash the beads and incubate for 30 s. Use a small volume pipette to remove the supernatant. Repeat for an additional washing step. Be sure to remove as much ethanol as possible.
   5. Air-dry the beads on the magnetic rack at room temperature for up to 5 min until the ethanol is fully evaporated and the beads no longer look shiny.
   6. Remove the plate from the magnetic rack, resuspend the beads in 20 µL of nuclease-free water and incubate for 2 min.
   7. Place the plate again on the magnetic rack until the beads are separated.
   8. Recover the eluate in a new PCR plate for cDNA QC and tagmentation.
   9. Perform a TapeStation or FragmentAnalyser assay to evaluate the size distribution and concentration of the cDNA library (Recommended: TapeStation D5000 assay). For details, see manufacturer instructions. A typical yield of 20 ng is to be expected.
4. Tagmentation with kit
   NOTE: Other Tagmentation protocols can be used if already established.
   1. Dilute the cDNA to a final concentration of 150 – 300 pg/µL using nuclease-free water.
   2. Preprogram the thermocycler as per Table 6 to ensure an immediate start of the tagmentation reaction after adding the cDNA to the enzyme mix.
   3. Prepare the tagmentation mix as per Table 7 for the number of reactions needed, adding 10% overage.
   4. Dispense 3 µL of the tagmentation mix per reaction onto a new PCR plate and add 1 µL of cDNA to each reaction.
   5. Start the tagmentation reaction immediately after adding the cDNA.
   6. Inactivate the reaction by adding 1 µL of neutralize tagment buffer (NT; alternatively, 0.2% sodium dodecyl sulfate (SDS) can be used).
5. Enrichment PCR
   1. Prepare the enrichment PCR mix Table 7 for the number of reactions, adding 10% overage. (Recommended: Nextera UDI set to prevent index hopping on patterned flow cells (e.g., Illumina NovaSeq 6000)).
   2. Add 9 µL of the enrichment PCR mix to each reaction for a total volume of 14 µL.
   3. Run the enrichment PCR program as per Table 8.
      NOTE: For the enrichment PCR, 16 cycles are standard. If the cDNA quality is poor, additional cycles can be added.
6. Clean-up and QC
   1. Before starting, bring magnetic purification beads to room temperature and vortex on high speed for 1 min to fully resuspend the beads.
   2. Add 1.0x v/v (14 µL) magnetic purification beads and incubate at room temperature for 5 min.
   3. Place the plate on a magnetic rack and wait for 5 min until the beads are fully separated. Remove the supernatant carefully.
   4. Keeping the plate on the magnetic rack, gently add 100 µL of freshly prepared 80% ethanol to wash the beads and incubate for 30 s. Use a small volume pipette to remove the supernatant. Repeat for an additional washing step. Be sure to remove as much ethanol as possible.
   5. Air-dry the beads at room temperature for 3 min or until they no longer look shiny.
   6. Remove the plate from the magnetic rack, resuspend the beads in 20 µL of nuclease-free water and incubate for 2 min.
   7. Place the plate again on the magnetic rack until the beads separate and recover the eluate in a new PCR plate for library QC.
   8. Perform a TapeStation or Fragment Analyzer assay to evaluate the size distribution and concentration of the cDNA library (Recommended: TapeStation D1000 high-sensitivity assay). For details, see manufacturer instructions. On average, a yield of 10 ng is to be expected.
      ​NOTE: STOPPING POINT: The PCR product can be stored at – 20 °C.

4. Sequencing and data pre-processing

1. Sequencing
   NOTE: The following guideline will be applicable to all Illumina instruments for short-read sequencing. If the instrumentation is not available, the sequencing can be performed by an external sequencing facility. Other sequencing approaches could also be used. For simplicity, we chose to report on the most widely used sequencing technology only.
   NOTE: The following steps related to software usage describe the procedure on an Illumina NovaSeq6000 sequencer.
   1. Pool uniquely indexed libraries in an equimolar ratio according to the results obtained in step 3.6.8.
   2. Measure the concentration of the final pool with a high-sensitivity assay to calculate the sample molarity as follows:
      
   3. Load the flow cell according to the instrument's specification and to experimental optimization. Examples for loading concentrations of common instruments are shown in Table 9.
   4. By touching the screen select Sequence to initiate the run setup.
   5. Follow the instructions on screen and load flow cell, sequence-by-synthesis cartridge, clustering cartridge, buffer cartridge and ensure the waste containers are empty.
   6. Once all reagents have been recognized by the instrument click on Run Setup. Define here the run name and the output folder to store the data.
   7. Define the sequencing details as paired-end with both reads of 51 bp. Two index reads are also sequenced with 8 bp each.
   8. Press Review and after checking if all sequencing details are correct press Start Run.
      NOTE: The recommended sequencing depth is 5 x 10⁶ reads/sample, with a minimum 1 x 10⁶ reads/sample.
2. Data pre-processing
   1. Transform raw sequencing data to FASTQ format and demultiplex according to the sample indexes with the tool Bcl2Fastq2. Perform demultiplexing with default settings. For detailed instructions on Bcl2Fastq2, see the reference manual.
      NOTE: FASTQ conversion and demultiplexing are usually performed by the sequencing facility if sequencing is not performed in-house. Sequencing facilities will usually provide demultiplexed FASTQ for further processing.
   2. Several options are available for data alignment and abundance quantification of sequencing reads (Recommended: nf-core RNA-seq pipeline (https://nf-co.re/rnaseq)). The pipeline provides several options, use the default setting with STAR⁸ as aligned and Salmon⁹ to quantify the transcript abundance.
   3. NOTE: For further bioinformatics analysis, several methods are available. It is not in the scope of this protocol to cover all (Recommended: DEseq2 pipeline¹⁰). A standard script based on the DEseq2 workflow developed by us can be found on GitHub (https://github.com/jsschrepping/RNA-DESeq2).

Representative Results

Following the reported protocol, human PBMCs were seeded, treated with different immunomodulatory drugs and, after different incubation times, harvested for bulk transcriptomic analysis using the sequencing protocol (Figure 1).

Ideal drug concentrations and incubation times for test compounds should be identified upstream this protocol with the help of complementary experimental strategies and based on the specific scientific question. In most cases, 2 – 4 h and 24 h incubation should provide a representation of early and late transcriptional responses to treatment.

The most important results to evaluate the correct executions of the protocol are the cDNA and library QCs (Figure 2 and Figure 3). cDNA profile should have a broad distribution with an average size of > 1000 bp (Figure 2), a lower average size or accumulation of molecules at low molecular weight (Figure 4) might indicate a low RNA input or RNA degradation.

The preparation of a good sequencing library is also an important step in the protocol; post-tagmentation libraries should have a rather narrow distribution of around 250 bp (Figure 3); longer fragments will perform poorly during sequencing (Figure 5).

Following sequencing, raw FASTQ files are aligned against the appropriate reference genome (e.g., human or mouse) and the transcript abundance is quantified for each sample (see nf-core RNA-seq pipeline (https://nf-co.re/rnaseq)). Exploratory data analysis will be now performed to check the overall quality of the data. Aligned data should capture a high number of protein coding genes as only poly adenylated RNA will be captured with this protocol (Figure 6A). In human samples we expect to capture between 15000 and 20000 transcripts (this value is based on the GENCODE 27 reference human genome annotation¹¹). Further exploratory data analysis may include principal component analysis (PCA). Here, the underlying structure of the data can be visualized in a two-dimensional plot. In Figure 6B, we show an exemplary PCA plot; dots here are colored by treatment, showing three different clusters of experimental conditions leading to similar transcriptomic profiles. It can also be seen here that biological replicates (dots with the same color) are transcriptionally similar, showing a good robustness of the protocol. The results shown in this figure were generated with pipeline available on GitHub based on the DESeq2 workflow (https://github.com/jsschrepping/RNA-DESeq2).

Figure 1: Time estimations and workflow. (A) Time estimations of this protocol for a run with 96 samples. (B) Diagram of each step within the protocol from thawing the cells until data pre-processing. The diagram should be read from top to bottom following the arrows. Circled arrows describe a repetition of the step. Red dots represent stopping points further described in the protocol. Please click here to view a larger version of this figure.

Figure 2: Exemplary results for cDNA libraries. Results of a miniaturized electrophoresis showing the size distribution of exemplary cDNA library. Upper and lower signals represent markers used to align the sample. Blue lines indicate the average fragment sizes (blue brackets). The cDNA profile shows a broad distribution with an average size of > 1000 bp. Please click here to view a larger version of this figure.

Figure 3: Exemplary results for sequencing libraries. Results of a miniaturized electrophoresis showing the size distribution of successfully prepared sequencing libraries with a narrow distribution and an average size of around 250 bp. Upper and lower signals represent markers used to align the sample. Blue lines indicate the average fragment sizes (blue brackets). Please click here to view a larger version of this figure.

Figure 4: Exemplary suboptimal results for cDNA libraries. Results of a miniaturized electrophoresis showing the size distribution of a suboptimal cDNA library with an average size of < 200 bp. Upper and lower signals represent markers used to align the sample. Blue lines indicate the average fragment sizes (blue brackets). Please click here to view a larger version of this figure.

Figure 5: Exemplary suboptimal results for sequencing libraries. Results of a miniaturized electrophoresis showing the size distribution of a suboptimal sequencing library containing longer fragments of 200 – 1000 bp. Upper and lower signals represent markers used to align the sample. Blue lines indicate the average fragment sizes (blue brackets). Please click here to view a larger version of this figure.

Figure 6: Exploratory data analysis. Representative results of exploratory data analysis showing the effect of selected immunomodulatory drugs on PBMCs. (A) Bar graph of the number of detected genes (Y-axes) separated by gene type (X-axes). (B) PCA of all genes in the dataset colored by the different drug treatments. Dots with the same color are biological replicates. Please click here to view a larger version of this figure.

Reagent	Concentration	Volume [µL] /rxn
Guanidine hydrochloride	80 mM	7.50
Deoxynucleotide triphosphates (dNTPs)	10 mM each	6.52
SMART dT30VN primer	100 µM	0.33
Nuclease-free water		0.65
Total volume		15.00

Table 1: Lysis buffer.

Reagent	Volume [µL] /rxn
SSRT II buffer (5x)	2.00
DTT (100 mM)	0.50
Betaine (5 M)	2.00
MgCl2 (1 M)	0.14
SSRT II (200 U/µL)	0.25
RNAse inhibitor (40 U/µL)	0.25
TSO-LNA (100 µM)	0.20
Nuclease-free water	0.66
Total volume	6.00

Table 2: Reverse transcriptase (RT) reaction mix.

mRNA denaturation
Step	Temperature	Duration
mRNA denaturation	95 °C	2 min
	on ice	2 min
Reverse transcription
Step	Temperature	Duration
Reverse transcription	42 °C	90 min
Enzyme inactivation	70 °C	15 min
	4 °C	hold

Table 3: Thermocycler program for mRNA denaturation and reverse transcriptase (RT).

Reagent	Volume [µL] /rxn
High-fidelity DNA polymerase	12.50
ISPCR primer (10 µM)	0.15
Nuclease-free water	2.35
Total volume	15.00

Table 4: Pre-amplification mix.

Steps	Temperature	Duration
Initial denaturation	98 °C	3 min
Denaturation	98 °C	20 s	16 – 18 Cycles
Annealing	67 °C	20 s
Extension	72 °C	6 min
	4 °C	hold

Table 5: Pre-amplification thermocycler program.

Steps	Temperature	Duration
Tagmentation	55 °C	8 min
	4 °C	hold

Table 6: Tagmentation thermocycler program.

Tagmentation mix
Reagent	Volume [µL] /rxn
Amplicon Tagment Mix (ATM)	1.0
Tagment DNA Buffer (TD)	2.0
Total volume	3.0
Enrichment PCR mix
Reagent	Volume [µL] /rxn
High-fidelity DNA polymerase	7.0
Nextera-compatible indexing primer	2.0
Total volume	9.0

Table 7: Tagmentation mix and enrichment PCR mix.

Steps	Temperature	Duration
Hot Start	72 °C	5 min
Initial denaturation	98 °C	30 s
Denaturation	98 °C	10 s	16 cycles
Annealing	60 °C	30 s
Extension	72 °C	1 min
Final Extension	72 °C	5 min
	4 °C	hold

Table 8: Enrichment PCR thermocycler program.

Instrument	Loading concentration
MiSeq v2	10 pM
NextSeq 500/550	1.4 pM
NovaSeq 6000	1250 pM

Table 9: Examples for loading concentrations of common sequencing instruments.

Discussion

Drug discovery and drug development can greatly benefit from the holistic view of cellular processes that bulk transcriptomics can provide. Nevertheless, this approach is often limited by the high cost of the experiment with standard bulk RNA-seq protocol, prohibiting its application in academic settings as well as its potential for industrial scalability.

The most critical steps of the protocol are cell thawing and the initial steps of library preparation. Ensuring high viability of the cells after thawing is critical for successful treatments and transcriptomic analysis. The first steps of cell harvesting and library preparation until cDNA synthesis are critical for preserving the integrity of the RNA. It is crucial at this stage to keep the cell lysate on ice at all times and process the samples as quickly as possible. If excessive RNA degradation is observed, lab surfaces and equipment should be cleaned with specific products to inhibit any RNase activity.

The protocol described here is currently optimized for drug treatment on PBMCs from healthy donors for a maximum of 24 h. To perform the experiment with a different cell type or for longer incubation time, cell numbers for seeding and culturing conditions might need to be optimized accordingly.

With this protocol, we provide a workflow for transcriptomic analysis upon drug treatment on PBMCs using standard laboratory equipment and no need for commercial kits. With this approach and avoiding the step of RNA purification, we reduced the costs significantly allowing for parallel analysis of a high number of compounds.

Because this protocol is based on an in vitro assay, its major limitation is that it cannot evaluate any metabolic processing of the drugs that could lead to different bioactivity. Additionally, the number of captured transcripts and sequencing depth will be lower than in standard bulk full-length transcriptomics methods, preventing the use of these data for applications that require higher information content, such as differential splicing or quantification of single nucleotide polymorphisms.

Materials

50 mL conical tube	fisher scientific	10203001
Adhesive PCR Plate Seals	Thermo Fisher Scientific	AB0558
Amplicon Tagment Mix (ATM)	Illumina	FC-131-1096	Nextera XT DNA Library Prep Kit (96 samples)
AMPure XP beads	Beckman Coulter	A 63881
Betaine	Sigma-Aldrich	61962
Cell culture grade 96-well plates	Thermo Fisher Scientific	260860
Cell culture vacuum pump (VACUSAFE)	Integra Bioscience	158300
Deoxynucleotide triphosphates (dNTPs) mix 10 mM each	Fermentas	R0192
DMSO	Sigma-Aldrich	276855
DTT (100 mM)	Invitrogen	18064-014
EDTA	Sigma-Aldrich	798681	for adherent cells
Ethanol	Sigma-Aldrich	51976
Fetal Bovine Serum	Thermo Fisher Scientific	26140079
Filter tips (10 µL)	Gilson	F171203
Filter tips (100 µL)	Gilson	F171403
Filter tips (20 µL)	Gilson	F171303
Filter tips (200 µL)	Gilson	F171503
Guanidine Hydrochloride	Sigma-Aldrich	G3272
ISPCR primer (10 µM)	Biomers.net GmbH	SP10006	5′-AAGCAGTGGTATCAACGCAGAG T-3′
KAPA HiFi HotStart ReadyMix (2X)	KAPA Biosystems	KK2601
Magnesium chloride (MgCl2)	Sigma-Aldrich	M8266
Magnetic stand 96	Ambion	AM10027
Neutralize Tagment (NT) Buffer	Illumina	FC-131-1096	Nextera XT DNA Library Prep Kit (96 samples), alternatively 0.2 % SDS
Nextera-compatible indexing primer	Illumina
Nuclease-free water	Invitrogen	10977049
PBS	Thermo Fisher Scientific	AM9624
PCR 96-well plates	Thermo Fisher Scientific	AB0600
PCR plate sealer	Thermo Fisher Scientific	HSF0031
Penicillin / Streptomycin	Thermo Fisher Scientific	15070063
Qubit 4 fluorometer	Invitrogen	15723679
Recombinant RNase inhibitor (40 U/ul)	TAKARA	2313A
RPMI-1640 cell culture medium	Gibco	61870036	If not working with PBMCs, adjust to cell type
SMART dT30VN primer	Sigma-Aldrich		5' Bio-AAGCAGTGGTATCAACGCAGAG TACT30VN-3
Standard lab equipment	various	various	e.g. centrifuge, ice machine, ice bucket, distilled water, water bath
SuperScript II Reverse Transcriptase (SSRT II)	Thermo Fisher Scientific	18064-014
SuperScript II Reverse Transcriptase (SSRT II) buffer (5x)	Thermo Fisher Scientific	18064-014
Tagment DNA Buffer (TD)	Illumina	FC-131-1096	Nextera XT DNA Library Prep Kit (96 samples)
TapeStation system 4200	Agilent	G2991BA
Thermocycler (S1000)	Bio-Rad	1852148
TSO-LNA (100 uM)	Eurogentec		5' Biotin AAGCAGTGGTATCAACGCAGAG TACAT(G)(G){G
Vortex-Genie 2 Mixer	Sigma-Aldrich	Z258415