Rabbit Polyclonal METTL16 antibody. Suitable for WB and reacts with Human, Mouse samples. Cited in 5 publications. Immunogen corresponding to Synthetic Peptide within Human METTL16 aa 350-450.
View Alternative Names
METT10D, METTL16, RNA N(6)-adenosine-methyltransferase METTL16, Methyltransferase 10 domain-containing protein, Methyltransferase-like protein 16, U6 small nuclear RNA (adenine-(43)-N(6))-methyltransferase
- WB
Supplier Data
Western blot - Anti-METTL16 antibody (AB186012)
All lanes:
Western blot - Anti-METTL16 antibody (ab186012) at 0.1 µg/mL
Lane 1:
HeLa whole cell lysate at 50 µg
Lane 2:
293T whole cell lysate at 50 µg
Lane 3:
Jurkat whole cell lysate at 50 µg
Lane 4:
TCMK-1 whole cell lysate at 50 µg
Lane 5:
NIH3T3 whole cell lysate at 50 µg
Predicted band size: 64 kDa
true
Exposure time: 3min
- WB
CiteAb
Western blot - Anti-METTL16 antibody (AB186012)
METTL16 western blot using anti-METTL16 antibody ab186012. Publication image and figure legend from Jabs, S., Biton, A., et al., 2020, Nat Commun, PubMed 32165618.
ab186012 was used in this publication in western blot. This may not be the same as the application(s) guaranteed by Abcam. For a full list of applications guaranteed by Abcam for ab186012 please see the product overview.
Differential expression of Mettl16 and Mat2a in mouse cecum.a Western blot analysis of Mettl16 expression from ceca of CONV, GF, ex-GF, abx, vanco, Am, and Lp mice. Actin served as loading control. The membrane and thus the actin loading control for the blot displaying samples from ex-GF, Am, and Lp mice is identical to the western blot in Supplementary Fig. 4a. b Quantification using six different western blots; CONV n = 20, ex-GF n = 6; GF n = 13; abx n = 9; vanco n = 8; Am n = 9; Lp n = 9; Mettl16/Actin ratio was normalized to ratio in CONV mice in order to compare protein expression across multiple Western Blots. Ordinary one-way ANOVA was performed. *p-value < 0.05; p-values (compared to CONV) : ex-GF : 0.9518; GF : 0.0255; abx : 0.0431; vanco : 0.1750; Am : 0.1783; Lp : 0.2728) (Holm–Sidak's multiple comparisons test). c Representation of two m6A peaks (mean of read per million normalized coverage (RPM) in detected methylation peaks) from anti-m6A immunoprecipitates and input in the 3'UTR of the Mat2a transcript in cecum. The peaks designated a and b were visualized for the indicated mouse models using IGV; d Quantification of indicated Mat2a peaks (a, b from b) as -log2 normalized read counts. Ordinary one-way ANOVA for multiple comparisons was performed. CONV (n = 15), GF (n = 12); ex-GF (n = 4); abx (n = 9); vanco (n = 8); Am (n = 11), Lp (n = 3); two independent sequencing experiments; ap-values (all compared to CONV) : ex-GF : 0.6458; GF : 0.0039; abx : 0.0572; vanco : 0.6458; Am : 0.6458; Lp : 0.4695; bp-values (all compared to CONV) : ex-GF : 0.889955; GF : 0.000323; abx : 0.003604; vanco : 0.889955; Am : 0.00000000000028; Lp : 0.018424; e anti-m6A-IP and qRT for Mat2a transcript in CONV (n = 11), ex-GF(n = 5) and GF (n = 8) cecal RNA; IgG-IP (n = 4) served as control for unspecific binding; ordinary one-way ANOVA was performed; *p-value < 0.05; ***p-value < 0.005; p-values (compared to CONV) : ex-GF : 0.6897; GF : 0.0127; IgG : 0.0029; f Western Blot analysis of Mat2a expression in CONV, GF, ex-GF, abx, vanco, Am, and Lp cecum. Actin served as loading control. Asterisk marks an unspecific band. g Quantification of Mat2a expression in CONV, GF, ex-GF, abx, vanco, Am, and Lp cecum. Quantification was performed using at least three different western blots for each condition; CONV n = 15, ex-GF n = 6; GF n = 12; abx n = 12; vanco n = 12; Am n = 9; Lp n = 9; Mat2a/Actin ratio was normalized to ratio in CONV mice in order to compare protein expression across multiple western blots; ordinary one-way ANOVA was performed. ***<0.0001, **p-value < 0.005 (Holm–Sidak's multiple comparisons test); p-values (all compared to CONV) : ex-GF : 0.157; GF : 0.00000019; abx : 0.0002; vanco : 0.0019; Am : 0.1111; Lp : 0.154; data are presented as mean values ±SEM throughout the figure; details for statistical analysis and original data for a, b, d–g are given in the source data file.
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Biological function summary
METTL16 influences RNA stability and processing. It acts as a component of a larger ribonucleoprotein complex that interacts with a variety of RNA substrates. This protein primarily targets U6 spliceosomal RNA and MAT2A RNA to modulate their function and degradation affecting regulatory feedback mechanisms in cells. By targeting specific RNA molecules METTL16 can modulate cellular response to various stimuli at the RNA level.
Pathways
METTL16 plays an important role in RNA metabolism and gene expression regulation pathways. It cooperates with the S-adenosylmethionine (SAM) pathway which is vital for cellular methylation processes. METTL16 works alongside other m6A writers such as METTL3 and METTL14 to establish particular methylation marks on RNA influencing translation and stability which affects cell cycle regulation and differentiation.
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Publications (5)
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International journal of molecular sciences 23: PubMed36012545
2022
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Oxidative medicine and cellular longevity 2022:4036274 PubMed35069973
2022
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Cell 184:3125-3142.e25 PubMed33930289
2021
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Nature communications 11:1344 PubMed32165618
2020
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Molecular cell 71:986-1000.e11 PubMed30197299
2018
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