Maximilian Krause’s research while affiliated with University of Bergen and other places

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Publications (8)


Figure 1 Overview of knock-in strategies. (A) Cas9 (green) creates a double-strand break ∼3 bp downstream of the gRNA's PAM. These genomic lesions can be used for knock-in the strategies C-G. (B) When using nickases, two gRNA targets in close vicinity are used. In this example, Cas9 RuvC mutant D10A (purple) produces a SSB (nick) on the targeting strand only. When two gRNA targets fall within an optimal distance (40-70 bp) and are positioned in the preferred PAM-out configuration, the two SSBs are recognized by the cellular DSB repair mechanism and can be exploited for knock-in strategies C, D, F, and G. (C,D) Gene correction by homologydirected repair (HDR) using a ssODN (C) or a plasmid or viral DNA vector (D) to provide the DNA donor. The former uses short homology arms (∼100 nt) whereas the latter generally uses longer homology arms (∼800 nt, LHA and RHA = left and right homology arms). (E-G) Knock-in methods using non-homologous end joining (NHEJ). (E) Donor plasmids in homology-independent targeted integration (HITI) lack homology arms, but include Cas9 cleavage sites flanking the donor sequence. (F) In microhomology-mediated end joining (MMEJ), an alternative NHEJ pathway is used involving annealing between identical microhomologous sequences (>2 bp) flanking the break. (G) Homology-mediated end joining (HMEJ) can use the HDR or NHEJ pathway to direct repair. The HMEJ construct contains homology arms similar to those used for HDR (∼800 nt) as well as CRISPR targets flanking the donor DNA similar to NHEJ. Figure adapted from Jang, Song, Hwang, & Bae (2020).
Figure 3 General results screen for gene knock-out using the gene elof1 in the Danio rerio genome danRer11 as an example. On the top is the genome view of the gene with identified gRNAs. This view can be toggled left/right and zoomed in/out. The gene model is drawn with the name of each isoform. Thick blue boxes represent exons, thin blue boxes represent untranslated regions, and green lines indicates in-frame start codons. gRNAs are displayed as arrows, with colors matching the scoring. Directionality is indicated by black arrowheads. Immediately below the genome view are options to download all identified gRNA targets (left) or view the results in the UCSC Genome Browser (right). On the bottom is a ranked list of all gRNA targets found, with all features necessary to make an informed decision. Clicking on a gRNA in the list or the graphical representation opens a detailed results view (Fig. 4).
CRISPR Genome Editing Made Easy Through the CHOPCHOP Website
  • Article
  • Full-text available

April 2021

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800 Reads

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38 Citations

Current Protocols

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Maximilian Krause

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The design of optimal guide RNA (gRNA) sequences for CRISPR systems is challenged by the need to achieve highly efficient editing at the desired location (on‐target editing) with minimal editing at unintended locations (off‐target editing). Although laboratory validation should ideally be used to detect off‐target activity, computational predictions are almost always preferred in practice due to their speed and low cost. Several studies have therefore explored gRNA‐DNA interactions in order to understand how CRISPR complexes select their genomic targets. CHOPCHOP ( https://chopchop.cbu.uib.no/ ) leverages these developments to build a user‐friendly web interface that helps users design optimal gRNAs. CHOPCHOP supports a wide range of CRISPR applications, including gene knock‐out, sequence knock‐in, and RNA knock‐down. Furthermore, CHOPCHOP offers visualization that enables an informed choice of gRNAs and supports experimental validation. In these protocols, we describe the best practices for gRNA design using CHOPCHOP. © 2021 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1 : Design of gRNAs for gene knock‐out Alternate Protocol 1 : Design of gRNAs for dCas9 fusion/effector targeting Support Protocol : Design of gRNAs for targeting transgenic or plasmid sequences Basic Protocol 2 : Design of gRNAs for RNA targeting Basic Protocol 3 : Design of gRNAs for sequence knock‐in Alternate Protocol 2 : Design of gRNAs for knock‐in using non‐homologous end joining Basic Protocol 4 : Design of gRNAs for knock‐in using Cas9 nickases

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Transcript Isoform-Specific Estimation of Poly(A) Tail Length by Nanopore Sequencing of Native RNA

April 2021

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47 Reads

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8 Citations

Methods in molecular biology (Clifton, N.J.)

The poly(A) tail is a homopolymeric stretch of adenosine at the 3′-end of mature RNA transcripts and its length plays an important role in nuclear export, stability, and translational regulation of mRNA. Existing techniques for genome-wide estimation of poly(A) tail length are based on short-read sequencing. These methods are limited because they sequence a synthetic DNA copy of mRNA instead of the native transcripts. Furthermore, they can identify only a short segment of the transcript proximal to the poly(A) tail which makes it difficult to assign the measured poly(A) length uniquely to a single transcript isoform. With the introduction of native RNA sequencing by Oxford Nanopore Technologies, it is now possible to sequence full-length native RNA. A single long read contains both the transcript and the associated poly(A) tail, thereby making transcriptome-wide isoform-specific poly(A) tail length assessment feasible. We developed tailfindr—an R-based package for estimating poly(A) tail length from Oxford Nanopore sequencing data. In this chapter, we describe in detail the pipeline for transcript isoform-specific poly(A) tail profiling based on native RNA Nanopore sequencing—from library preparation to downstream data analysis with tailfindr.


Profiling of Small Ribosomal Subunits Reveals Modes and Regulation of Translation Initiation

April 2020

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89 Reads

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40 Citations

Cell Reports

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Translation initiation is often attributed as the rate-determining step of eukaryotic protein synthesis and key to gene expression control. Despite this centrality, the series of steps involved in this process is poorly understood. Here, we capture the transcriptome-wide occupancy of ribosomes across all stages of translation initiation, enabling us to characterize the transcriptome-wide dynamics of ribosome recruitment to mRNAs, scanning across 5′ UTRs and stop codon recognition, in a higher eukaryote. We provide mechanistic evidence for ribosomes attaching to the mRNA by threading the mRNA through the small subunit. Moreover, we identify features that regulate the recruitment and processivity of scanning ribosomes and redefine optimal initiation contexts. Our approach enables deconvoluting translation initiation into separate stages and identifying regulators at each step.


ONT DirectRNA Library preparation for poly(A) estimation v1

November 2019

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19 Reads

This protocol provides a detailed explanation of of the steps necessary for successful Direct RNA Library preparation for Oxford Nanopore Sequencing. The protocol explains the steps needed for RNA sample preparation based on TRIzol extraction and Poly(A)Purist Mag kit enrichment prior to Direct RNA library preparation protocol. The library preparation protocol is based on the Library preparation protocols for RNA-002 kits, yet offers additional advice on what we think is important for a successful library with minimal RNA degradation. The protocol is used to assess poly(A) tail length using the tailfindr package. The poly(A) tail is a homopolymeric stretch of adenosine at the 3`-end of mature RNA transcripts and its length plays an important role in nuclear export, stability, and translational regulation of mRNA. With the introduction of native RNA sequencing by Oxford Nanopore Technologies (ONT), it is now possible to sequence full-length native RNA. A single long read contains both the transcript and the associated poly(A) tail, thereby making genome-wide transcript-specific poly(A) tail length assessment in native RNA feasible. For more information on tailfindr visit the publication or the GitHub repository


Figure 2: 43S PIC recruitment and impact of 5' transcript features. A) Schematic representation of two canonical recruitment models (upper panel): "Threading" (left) and "Slotting" (right), the resulting protected fragments (middle panel) and the location of the mapped reads relative to the transcription start site (bottom
Figure 3: uORFs reduce the number of 43S PICs scanning across 5' UTRs. A-C) The impact of the number of uORFs on (A) scanning subunits on 5' UTR, (B) the translational efficiency of the 5' UTR, and (C) the translational efficiency of the protein (*** = p-values < 0.001). D) Coverage of small subunit (40S) footprints (upper, blue) and ribo-seq 80S complex footprints (lower, orange) in fixed windows of 100 nt up-and downstream of the first ATG uORF. E) Heatmaps showing the rate of scanning subunit consumption as measured by the ratio of small subunit reads upstream versus downstream of all uORFs stratified by surrounding Kozak score and start codon. F) Same as E, but with ranking of start and stop codon.
Figure 4: Direct measurements of initiation rate. A) Median initiation rates (IR) for all transcripts containing nucleotide (y-axis) at a specific position (x-axis) relative to the protein TIS. The zebrafish Kozak sequence is highlighted with black borders (AAACATGGC). B) Median IR for entire sequence from -4 to
Deconstructing the individual steps of vertebrate translation initiation

October 2019

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198 Reads

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1 Citation

Translation initiation is often attributed as the rate determining step of eukaryotic protein synthesis and key to gene expression control. Despite this centrality the series of steps involved in this process are poorly understood. Here we capture the transcriptome-wide occupancy of ribosomes across all stages of translation initiation, enabling us to characterize the transcriptome-wide dynamics of ribosome recruitment to mRNAs, scanning across 5'UTRs and stop codon recognition, in a higher eukaryote. We provide mechanistic evidence for ribosomes attaching to the mRNA by threading the mRNA through the small subunit. Moreover, we identify features regulating the recruitment and processivity of scanning ribosomes, redefine optimal initiation contexts and demonstrate endoplasmic reticulum specific regulation of initiation. Our approach enables deconvoluting translation initiation into separate stages and identifying the regulators at each step.


Overview of read counts of Sequencing experiment replicates. Data can be found in the ENA
TailFindR: Alignment-free poly(A) length measurement for Oxford Nanopore RNA and DNA sequencing

July 2019

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380 Reads

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81 Citations

RNA

Polyadenylation at the 3'-end is a major regulator of messenger RNA and its length is known to affect nuclear export, stability, and translation, among others. Only recently have strategies emerged that allow for genome-wide poly(A) length assessment. These methods identify genes connected to poly(A) tail measurements indirectly by short-read alignment to genetic 3'-ends. Concurrently, Oxford Nanopore Technologies (ONT) established full-length isoform-specific RNA sequencing containing the entire poly(A) tail. However, assessing poly(A) length through base-calling has so far not been possible due to the inability to resolve long homopolymeric stretches in ONT sequencing. Here we present tailfindr, an R package to estimate poly(A) tail length on ONT long-read sequencing data. tailfindr operates on unaligned, base-called data. It measures poly(A) tail length from both native RNA and DNA sequencing, which makes poly(A) tail studies by full-length cDNA approaches possible for the first time. We assess tailfindr's performance across different poly(A) lengths, demonstrating that tailfindr is a versatile tool providing poly(A) tail estimates across a wide range of sequencing conditions.


CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing

May 2019

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556 Reads

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1,467 Citations

Nucleic Acids Research

The CRISPR-Cas system is a powerful genome editing tool that functions in a diverse array of organisms and cell types. The technology was initially developed to induce targeted mutations in DNA, but CRISPR-Cas has now been adapted to target nucleic acids for a range of purposes. CHOPCHOP is a web tool for identifying CRISPR-Cas single guide RNA (sgRNA) targets. In this major update of CHOPCHOP, we expand our toolbox beyond knockouts. We introduce functionality for targeting RNA with Cas13, which includes support for alternative transcript isoforms and RNA accessibility predictions. We incorporate new DNA targeting modes, including CRISPR activation/repression, targeted enrichment of loci for long-read sequencing, and prediction of Cas9 repair outcomes. Finally, we expand our results page visualization to reveal alternative isoforms and downstream ATG sites, which will aid users in avoiding the expression of truncated proteins. The CHOPCHOP web tool now supports over 200 genomes and we have released a command-line script for running larger jobs and handling unsupported genomes. CHOPCHOP v3 can be found at https://chopchop.cbu.uib.no.


taillndr: Alignment-free poly(A) length measurement for Oxford Nanopore RNA and DNA sequencing

March 2019

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251 Reads

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2 Citations

Polyadenylation at the 3’-end is a major regulator of messenger RNA and its length is known to affect nuclear export, stability and translation, among others. Only recently, strategies have emerged that allow for genome-wide poly(A) length assessment. These methods identify genes connected to poly(A) tail measurements indirectly by short-read alignment to genetic 3’-ends. Concurrently Oxford Nanopore Technologies (ONT) established full-length isoform RNA sequencing containing the entire poly(A) tail. However, assessing poly(A) length through basecalling has so far not been possible due the inability to resolve long homopolymeric stretches in ONT sequencing. Here we present tailfindr , an R package to estimate poly(A) tail length on ONT long-read sequencing data. tailfindr operates on unaligned, basecalled data. It measures poly(A) tail length from both native RNA and DNA sequencing, which makes poly(A) tail studies by full-length cDNA approaches possible for the first time. We assess tailfindr’s performance across different poly(A) lengths, demonstrating that tailfindr is a versatile tool providing poly(A) tail estimates across a wide range of sequencing conditions.

Citations (6)


... First identified as an immune protection system in prokaryotes, the CRISPR system has recently gained widespread attraction for its potential in gene regulation and editing and has thus proved to be a competitive technology in disease diagnostics [42]. CRISPR consists of a Cas protein and a guide RNA (gRNA) which directs Cas to the target site [43]. Researchers can target any gene of interest by changing the gRNA sequence to identify a specific site of interest when configuring the Cas protein to target that specific sequence. ...

Reference:

Perspective Chapter: Molecular Diagnostics in Viral Outbreak Surveillance
CRISPR Genome Editing Made Easy Through the CHOPCHOP Website

Current Protocols

... Quality control of reads and sequencing performance was performed in Python ( Figure S3). Poly(A)-tail lengths were estimated from raw FAST5 files using the Tailfindr package in R 44,114 . This analysis returned a list of the estimated tail lengths which can be assigned to transcript IDs by using the SAM file obtained in the alignment step. ...

Transcript Isoform-Specific Estimation of Poly(A) Tail Length by Nanopore Sequencing of Native RNA
  • Citing Chapter
  • April 2021

Methods in molecular biology (Clifton, N.J.)

... The general mode of action of uORFs was already identified more than 35 years ago for yeast GCN4 mRNA 32 and is also demonstrated for animal transcripts 56 . Depending on the surrounding sequence of a stop codon, the length of the uORF itself as well as the distance between the reading frames, they regulate not only translation initiation at the start codon of the next ORF but also partial loss of ribosomal subunits from the mRNA itself 28,57 . For our seRNA constructs, up to 6 uORFs were used. ...

Profiling of Small Ribosomal Subunits Reveals Modes and Regulation of Translation Initiation

Cell Reports

... uORFs can regulate gene expression via the biological activity of the uORF peptide, but they also often cis-regulate translation of the downstream main ORF 6,7 . Despite having poor initiation sequence contexts, many eukaryotic uORFs repress main ORF translation 1,3,4,[7][8][9][10][11] . uORF mutations are implicated in several human diseases via changes to main ORF translation 12,13 . ...

Deconstructing the individual steps of vertebrate translation initiation

... For the reads derived from the R9 flow cell, FAST5 files including the move table were demultiplexed with the ont_fast5_api tools, according to cutadapt output. The R-package tailfindr [ 37 ] (version: tldr-seq_v1.4; branch: https://github. ...

TailFindR: Alignment-free poly(A) length measurement for Oxford Nanopore RNA and DNA sequencing

RNA

... Design of single-guide RNAs (sgRNAs) CHOPCHOP (https://chopchop.cbu.uib.no/) 65 , Benchling (https:// www.benchling.com/), and CRISPRtarget (http://crispr.otago.ac.nz/ CRISPRTarget/crispr_analysis.html) 66 were used to design highperformance gRNAs for the deletion of DPE15, DPE16, and DPE17 around UGT1A1 and the deletion of TSKU-up. ...

CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing

Nucleic Acids Research