Misc study deck Flashcards

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Mechanical Frag Kit

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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?
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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**
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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