RNA modification sequencing, RIP-based profiling, arrays and GlycoRNA solutions
Arraystar RNA Modification
Research Expert
SERVICES / SINGLE-BASE RNA MODIFICATION SEQUENCING

Single-Base RNA Modification Sequencing

Seventeen workflows that resolve a modification to the individual nucleotide, so a study gets the position of a site and its level rather than a peak region.

01What this line is for

Single-base RNA modification sequencing resolves a modification to the individual nucleotide. Each method pairs one chemical or enzymatic reaction with the sequencing readout, so a site call traces back to a defined conversion rather than to an enrichment peak.

This is the line to use when the conclusion depends on where a modification sits. Because the signal reports position and level together, the same dataset supports site-level comparisons between conditions, between transcripts, and between a modified and an unmodified fraction of the same transcript.

The methods differ in chemistry, not in ambition. Some convert the unmodified base and leave the modification standing; others cut, enrich or misincorporate. Choosing between them is mostly a question of which modification is being studied and whether an antibody-based step is acceptable in the design.

02The sixteen methods

Every entry below is available as a standalone service. Open a method for its detection principle, workflow, analysis set and sample notes.

CAM_01

m6A Modification Seq (CAM-seq)

Cooperative catalysis deaminates unmodified adenosine to inosine while m6A resists, so the A-to-G signal gives both the site and its modification level.

Site-levelposition & level
CAM_02

m6A Modification Seq (GLORI2-seq)

Glyoxal-based deamination following the same A-to-G logic, applied to transcriptome-wide m6A mapping.

Site-levelposition & level
CAM_03

m5C Modification Seq (BS-seq)

Bisulfite conversion: unmethylated cytosine converts and is read as thymidine, while m5C resists and stays a cytosine read.

Site-levelposition
CAM_04

m1A Modification Seq (m1A-Quant-seq)

Mutation signatures from an engineered reverse transcriptase report absolute m1A stoichiometry.

Absolutestoichiometry
CAM_05

ac4C Modification Seq (RedaC:T-seq)

Reductive conversion marks acetylated cytidine as a thymidine read, resolving ac4C sites.

Site-levelposition
CAM_06

m7G Modification Seq (m7G-Quant-seq)

Targeted chemical conversion leaves a position-specific signature at m7G.

Site-levelposition & level
CAM_07

m3C Modification Seq (HAC-seq)

Hydrazine-aniline cleavage chemistry resolves m3C positions without an antibody.

Site-levelposition
CAM_08

m3C Modification Seq (m3C-IP-seq)

Antibody enrichment combined with reverse-transcription misincorporation to call m3C sites.

Site-levelposition
CAM_09

Pseudouridine (Ψ) Seq (BID-seq)

Bisulfite-induced deletion signatures mark pseudouridine positions across the transcriptome.

Site-levelposition
CAM_10

Pseudouridine (Ψ) Seq (BACS-seq)

Controlled bisulfite conversion reports Ψ positions from conversion signatures.

Site-levelposition
CAM_11

Ψ & Inosine Seq (BACS-seq)

Pseudouridine and inosine profiled from a single BACS-seq library.

Site-leveltwo marks
CAM_12

2'-O-Me (Nm) Seq (NM-seq)

Periodate oxidation, elimination and dephosphorylation chemistry reports ribose methylation.

Site-levelposition
CAM_13

Dihydrouridine (D) Seq (CRACI-seq)

Chemical conversion signatures distinguish dihydrouridine from unmodified uridine.

Site-levelposition
CAM_14

O8G Modification Seq (O8G-miSeq)

Antibody enrichment with G>T mutation calling reports oxidative guanosine damage sites.

Site-levelposition
CAM_15

rRNA 2'-O-Me (Nm) Seq (RiboMeth-Seq)

Alkaline random fragmentation reads Nm on 18S, 28S and 5.8S rRNA, with a methylation level returned for every position.

Site-levelposition & level
CAM_16

m7G & m3C Seq (AlkAniline-Seq)

Heat and alkali open the abasic site at m7G and m3C; the aniline cut leaves a 5'-phosphate that becomes the adapter entry, so the cut marks the position.

Site-leveltwo marks
CAM_17

hm5C Seq (WO-Seq)

Peroxotungstate oxidizes hm5C to thT; TGIRT reads thT as T, so a C-to-T change marks the hydroxymethylated cytosine.

Site-levelposition & level

03How the methods differ

CONVERSION

Convert the unmodified base

Chemical deamination and bisulfite-type conversions change unmodified bases and leave the modification untouched, so the readout is a base change at each position. CAM-seq, GLORI2-seq, BS-seq and BID-seq sit here.

CLEAVAGE

Cut at the modified base

Cleavage chemistry removes or breaks the RNA at a modified position, which is read as a gap or a truncation. HAC-seq, NM-seq and AlkAniline-Seq use this logic, and AlkAniline-Seq goes a step further by using the cut end itself as the entry point of the library.

ENRICHMENT

Pull the modified fragment down

An antibody-based step enriches modified fragments before sequencing. It is the fastest route to a profile, and it is the only route in this line that depends on an antibody.

04FAQ

How do I choose between methods for the same modification?

Where two methods exist for one modification, they usually differ in how they convert. CAM-seq and GLORI2-seq both report m6A at single-base resolution but use different deamination chemistries; BS-seq, BID-seq and BACS-seq all build on bisulfite conversion but read it differently. For m7G, m7G-Quant-seq reads a conversion signature while AlkAniline-Seq reads the cut position and returns m3C from the same library.

Is antibody-based enrichment used in this line?

In m3C-IP-seq and O8G-miSeq. The remaining methods in this line are antibody-free.

What sample types are accepted?

Total RNA, cells, tissue or blood. Preparation and quality notes are listed on each method page.

How many samples can be handled together?

The design depends on the method and the comparison being made, so it is confirmed per project rather than quoted as a fixed number.

Where does the workflow start and end?

Sample QC, the modification-specific treatment or enrichment, library construction, sequencing and bioinformatics analysis are all part of the service.

05Related lines

LineUse it whenRequest Quote
RNA Modification RIP-SequencingA transcript-level profile across many samples is the goal
RNA Modification ArraysMany targets need screening before site-level work

Discuss your RNA modification project

Tell us the modification of interest and the sample type — we will come back with a suitable workflow.