Misc study deck Flashcards

(35 cards)

1
Q

What is library prep in NGS?

A

Getting the samples ready to hit the sequencer. Turning raw DNA/RNA into a sequencing ready library

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2
Q

What is the Twist library prep workflow?

A
  1. Fragmentation (chop the DNA/RNA) by mechanical or enzymatic frag.
  2. size selection- pick pieces (250 bases) -max 600
  3. End repair/ A-tailing- smooth the ends, add the “A” base for T/A ligation (Twist standard glue)
  4. Adapter ligation- add barcodes (adapters) to track samples. This uses T4 DNA ligase.
  5. PCR Amplification- Boost with 3,000+ UDI primers - make enough DNA for sequencing.
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3
Q

Twist EF 2.0 - what does it do? what does it help with?

A

Enzymatic Fragmentation Kit 2.0- Top seller* combines Fragmentation, End-repair and A-tailing in one step. High throughput and automatic friendly.

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4
Q

Mechanical Frag Kit

A

Skips fragmentation or shears DNA - best for long-read (PacBrio/ONT) or cfDNA (liquid biopsy)

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5
Q

Selling points for EF 2.0

A
  1. saves time- EF 2.0 combines 3 steps into 1. Faster than Illuminas Nextera (which uses tagmentation and gets uneven coverage)
  2. Handles tough/degraded samples like FFPE
  3. Scalable- 3,000+UDI primers for massive multiplexing - run tons of samples together
  4. Cleaner data- avoids tagmentation bias which results in better downstream results.
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6
Q

Customer questions to ask around EF 2.0

A
  1. What samples are you currently working with? FFPE, cfDNA or WGS?
    (EF 2.0 for FFPE/WGS and mechanical frag for cfDNA)
  2. how many samples are you running at once? (highlight UDI multiplexing power)
  3. what’s your biggest prep headache- time, bias, sample quality? (EF 2.0 solves time/bias, mechanical frag helps with quality)
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7
Q

What are UDI/UMI adapters?

A
  • Adapters are like labels on your dishes (DNA/RNA fragments) UDI’s track which dish is whose.
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8
Q

UDI (Unique Dual Index)

A

-10-12 base barcodes for sample tracking.
- Used for multiplexing (running multiple samples together)
- Stops index hopping (misassigning reads)

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9
Q

UMI (Unique Molecular Identifier)

A
  • Tags individual molecules to spot rare variants (cancer mutations)
  • Reduces PCR duplicates- noisy copies that mess up data
  • Key for MRD and liquid biopsy

UDI= ID
UMI= Unique Molecule

UDI tracks samples; UMI tracks molecules

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10
Q

What are the Twist adapter options?

A

UDI Adapters- Standard (10 bases) , high throughput (12 bases) -3,000+ options for multiplexing

UMI Adapters- 5-base UMI’s with 2 skip bases, used for low frequency variant detection (cancer)

Full-length UDI- For PCR-free workflows (less bias)

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11
Q

Selling points with our adapters

A
  1. massive multiplexing- 3,000+ UDI’s let labs run tons of samples at once. - saves sequencer time.
  2. Precision for Cancer- UMI’s cut noise. Making rare mutations crystal clear. Hugh in oncology.
  3. Error-free tracking- UDI’s prevent index hopping- clean sample seperation, even in big runs.
  4. Flexible applications- UDI’s for standard tracking. UMI’s for precision (think MRD, liquid Bx) and full-length for PCR free.
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12
Q

Customer questions around adapaters

A
  1. Are you looking for rare mutations, like in cancer or MRD?
  2. How many samples do you run together?
  3. Do you need PCR-free workflows for cleaner data?
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13
Q

Why is RNA data so important?

A
  1. shows gene activity (expression levels)
  2. catches splicing (exon stitching), isoforms, fusions
  3. Works with FFPE , huge for cancer labs
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14
Q

Twist RNA-Seq workflow

A
  1. rRNA depletion- Ribosomal and Globin depletion kit removes rRNA (60-70% noise) and hemoglobin (blood samples) . Does this by our biotinylated probes grabbing the rRNA and the streptavidin beads pulling it out in under 5 hours*
  • Less noise= more reads on mRNA, great for FFPE (formalin fixed, perrafin embedded) samples.
  1. RNA library prep kit (watchmaker sourced) turns RNA into cDNA- strand specific (via uracil integration) : less than 5 hours.
  2. RNA Exome- targets exons-great for FFPE. detects splicing, known/novel fusions, shadow coverage
  3. Alliance panels- pre made panels and fusion-focused**
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15
Q

Selling points with RNA Seq

A
  1. FFPE Champion- RNA exome works with degraded RNA (1ng) perfect for cancer biopsies.
  2. Fusion detection- spots known and novel fusions- key for oncology. (leukemia)
  3. fast workflow- single day prep (less than 5 hours), automation-friendly.
  4. cleaner data- high on target (80-90%) less sequencing needed. saves costs.
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16
Q

Memory key for RNA Seq

A

DPT* “Depleat, Prep, Target”

  1. Remove rRNA
  2. Make cDNA
  3. Grab Exons
17
Q

Customer questions with RNA Seq

A
  1. How much FFPE or low quality RNA are you dealing with?
  2. Are fusions or splicing patterns a priority for you?
  3. What’s your biggest RNA-Seq headache - time, cost, or rRNA noise?
18
Q

Methylation

A

Adds sticky notes (methyl groups) to the DNA cookbook to turn recipes off or down on Cystosine (C) in CpG islands or C/G rich sites

19
Q

Why does it matter?

A
  1. Cancer Detection- hypermethylation (too many sticky notes) or hypomethylation (too few) signals cancer early.
  2. Drug response- methylation patterns guide drug choice (pharmacogenomics)
  3. Development/Aging- Big in fetal growth (sperm are hypermethylated) and tracks aging diseases. also think about EpiPaws and how they are using it to help determine age of rescue animals.
20
Q

Twist Methylation Detection System

A
  1. Prep (EM-Seq)
  2. Capture- human methylation panel covers islands, shores, shelves. Methylation enhancer cuts off-target (20-35%) and also 84% CpG coverage with custom panels available.
21
Q

Selling points on methylation

A
  1. Vs. EPIC array (Illumina 850k) - arrays miss low methylation- Twist detects 0%, covers 4M CpG sites vs. 850k **
  2. Gentle Sequencing. EM-Seq keeps DNA intact. perfect for liquid biopsies (cfDNA).
  3. Early detection- spots small methylation changes for cancer.
  4. cost-saver- high on target (95%), low duplication and less sequencing needed.
  5. customizable- custom panels for specific genes., fast turnaround.
22
Q

Memory Aid for methylation

A

Sticky notes= off
methylation sticky notes turn genes off and Twist finds them.

23
Q

Methylation customer questions

A
  1. Are you studying methylation for cancer or drug response? (helps position panel for pan-cancer or PGx studies)
  2. Do you work with liquid biopsies or FFPE samples?
    - EM-Seq excels with cfDNA/FFPE
  3. How important is detecting low-level methylation changes?
    - Twist’s 0% detection beats arrays (5% limit)
24
Q

FlexPrep UHT

A

FlexPrep preps 1,152 samples in one go.

25
How does FlexPrep work?
1. Normalization by ligation: Automatically balances samples 2. Early pooling- Mix 12 samples per reaction with UDI's (saves steps) 3. High throughput- 96-well plate, 96 samples per reaction, 4-5 hours total*
26
Tagets for FlexPrep
1. Agrigenomics: Genotyping cows, plants. Replaces microarrays 2. Human population Genomics: Think big biobank projects like Galatea and trying to sequence 10M genomes.
27
Selling points to FlexPrep
1. Saves time: skips normalization. 4-5 hours total for prep. No upfront measuring 2. Handles big batches: 1,152 samples in one 96-well plate, ultrahigh throughput 3. Cuts cost- 12x less consumables 4. Beats microarrays- NGS gives more data (beyond SNP's), customizable, non-species specific 5. End to end support- pairs with Gencove for data analysis and Curio for Agrigenomics.
28
Memory aid for FlexPrep
Flexprep preps 1,152 samples in 4 hours. Big batches, big wins.
29
Flexprep questions for customers
1. Are you working on agrigenomics or population genomics projects? 2. How many samples are you aiming to run- small batches or millions? 3. Are you using microarrays now? do you want more data? (learn how to sell against arrays)
30
Quick overview/selling points
1. Library Prep: Speed and sample flexibility (EF 2.0 for FFPE and WGS) 2. UDI/UMIs: For scale think UDI and for cancer detection think UMI's 3. RNA-SEq: FFPE and fustion detection (RNA Exome) 4. Methylation: Early cancer detection, beats arrays and spots early signals at 0% 5. FlexPrep: Big batches, cost savings- handles 1,152 samples in 4 hours.
31
Amplicon Seq vs. PCR
Amplicon Seq vs. PCR in NGS PCR (Polymerase Chain Reaction): PCR is a foundational technique used to amplify specific DNA segments. In NGS workflows, PCR is a preparatory step to generate enough DNA for sequencing. It uses primers, a polymerase enzyme (e.g., Taq), and thermal cycling to exponentially replicate a target region. For example, PCR might amplify a gene of interest to create sufficient material for library preparation before sequencing on an Illumina platform. Role in NGS: PCR is often used in library preparation (e.g., to add adapters or barcodes) or to amplify amplicons for Amplicon Seq. Twist’s 96-Plex Library Prep Kit, for instance, leverages PCR to prepare up to 960 samples at $10/sample, ensuring enough material for sequencing. Amplicon Sequencing (Amplicon Seq): Amplicon Seq is a targeted NGS method where specific DNA regions (amplicons) are first amplified via PCR, then sequenced. It focuses on sequencing these pre-amplified regions, often for applications like microbial diversity (e.g., 16S rRNA sequencing), SNP detection, or variant analysis in specific genes. The process involves designing primers for target regions, amplifying them with PCR, and sequencing the resulting amplicons. Role in NGS: Amplicon Seq is the full workflow—amplification (via PCR) followed by sequencing and analysis. Twist’s Custom Panels (80-90% on-target, 4-week delivery) are ideal for Amplicon Seq, enabling labs to target specific genes with high accuracy. Key Differences Scope: PCR is a single step (amplification) within many workflows, including Amplicon Seq. Amplicon Seq is the broader process, encompassing PCR, sequencing, and analysis. Purpose: PCR generates DNA material; Amplicon Seq delivers sequence data for specific targets. Applications: PCR is used in diverse contexts (e.g., cloning, qPCR, library prep). Amplicon Seq is specialized for targeted sequencing, like studying microbial communities or cancer mutations. Scale: PCR can be low-throughput (e.g., a few reactions). Amplicon Seq leverages NGS for high-throughput sequencing of many amplicons simultaneously.
32
When a client says Amplicon seq, think talking to them about what?
adapters and polymerase
33
What is the Twist ligase?
The Twist Bioscience ligase refers to a proprietary enzyme developed by Twist Bioscience to enhance their Next-Generation Sequencing (NGS) workflows, particularly in their cfDNA (cell-free DNA) Library Preparation Kit. This ligase is a key component of an optimized protocol and buffer formulation designed to improve the efficiency of library preparation for liquid biopsy applications, such as cancer detection. It enables increased conversion efficiency—reportedly doubling the conversion rate compared to other kits—allowing for higher yields, better mean target coverage, and more sensitive detection of low-frequency variants, even with low input amounts (1 to 20 ng/ml). The enzyme also supports fast reaction times, which is critical for handling degraded or low-concentration cfDNA samples often encountered in NGS. This ligase is part of Twist’s broader strategy to refine NGS processes, as seen in their partnerships (e.g., with Watchmaker Genomics for high-fidelity enzymes) and their focus on innovative solutions like the FlexPrep UHT Kit. While the exact composition of the ligase isn’t publicly detailed, its development reflects Twist’s expertise in enzyme engineering to address challenges in precision oncology, such as early cancer detection and tumor profiling. For your prospecting in Miami and beyond, this ligase could be a selling point for labs like Orlando Health, where sensitive cfDNA sequencing could enhance their Cancer Genetics and High Risk Center’s capabilities. Would you like to incorporate this into a pitch for one of your upcoming meetings?
34
What is the end goal with the Twist enzymes (ligase and polymerase)?
increasing their library complexity. Cost savings.
35
What is Ramseq vs. Amplicon Seq vs. PCR
RAMseq vs. Amplicon Seq vs. PCR PCR (Polymerase Chain Reaction): PCR is a foundational lab technique to amplify specific DNA segments. It uses primers, a thermostable DNA polymerase (like Taq), and thermal cycling (denaturation, annealing, extension) to create millions of copies of a target DNA region. In NGS workflows, PCR is a preparatory step, often used to amplify regions of interest or add adapters during library preparation. For example, Twist’s 96-Plex Library Prep Kit relies on PCR to prepare samples at $10/sample, ensuring enough material for sequencing. PCR is not a sequencing method itself but a critical enabler for methods like Amplicon Seq. Amplicon Sequencing (Amplicon Seq): Amplicon Seq is a targeted NGS method that sequences specific DNA regions (amplicons) after amplifying them via PCR. It involves designing primers to amplify regions of interest, followed by sequencing the amplicons on platforms like Illumina or Ion Torrent. It’s widely used for variant detection (e.g., SNPs, mutations) and applications like microbial diversity (16S rRNA sequencing) or cancer profiling. Twist’s Custom Panels (80-90% on-target, 4-week delivery) are ideal for Amplicon Seq, offering high accuracy for targeted sequencing in labs like Moffitt Cancer Center’s Molecular Genomics Core. RAMseq (Random Amplicon Sequencing): RAMseq is a specialized method for SNP detection in non-model species without a reference genome, using semi-deep sequencing of random amplicons. Unlike Amplicon Seq, which targets specific regions with designed primers, RAMseq amplifies random DNA fragments (often via RAPD—Random Amplified Polymorphic DNA—followed by sequencing). It’s cost-effective for genetic diversity studies in wild species, as demonstrated in a study on the Eurasian otter, where it identified 238 SNPs. However, its random nature makes it less precise for targeted applications compared to Amplicon Seq, and it’s less commonly used in clinical or focused research settings. Key Differences Purpose: PCR: Amplifies DNA as a preparatory step; not a sequencing method. Amplicon Seq: Sequences specific, pre-amplified regions for targeted analysis (e.g., mutations, microbial profiling). RAMseq: Sequences random amplicons for SNP discovery in non-model organisms, focusing on genetic diversity. Targeting: PCR and Amplicon Seq use specific primers for defined regions. RAMseq uses random primers, making it less targeted and more exploratory. Applications: PCR: Foundational for many workflows, including library prep for NGS. Amplicon Seq: Ideal for precision oncology, pathogen detection, and targeted genomics (e.g., at UMMC’s Molecular Genomics Core). RAMseq: Suited for ecological or population genetics studies (e.g., at MSU for sickle cell disease genetics). Scale and Output: PCR: Produces amplicons but doesn’t generate sequence data. Amplicon Seq: High-throughput, yielding detailed sequence data for specific targets. RAMseq: Semi-deep sequencing, yielding broader but less focused SNP data. Relevance to Twist Products Twist Fit for Amplicon Seq: Twist’s portfolio, like the Methylation Detection System (4M CpG sites) or FlexPrep UHT (1,152 samples in 5 hours), aligns perfectly with Amplicon Seq workflows, offering high sensitivity and scalability for labs like NSU’s Genomics Core. Twist Fit for PCR: Twist’s library prep kits (e.g., cfDNA Library Prep Kit with proprietary ligase) optimize PCR steps, improving yield and sensitivity for downstream sequencing, which could appeal to Moffitt’s precision oncology efforts. RAMseq Limitations with Twist: RAMseq’s random approach doesn’t align as directly with Twist’s targeted NGS tools, though its library prep kits could still support initial amplification steps for labs like MSU exploring genetic diversity.