ABCC11
- Known as:
- ABCC11
- Catalog number:
- 000918A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- ABCC11
Ask about this productRelated genes to: ABCC11
- Gene:
- ABCC11 NIH gene
- Name:
- ATP binding cassette subfamily C member 11
- Previous symbol:
- -
- Synonyms:
- MRP8
- Chromosome:
- 16q12.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-01
- Date modifiied:
- 2016-10-05
Related products to: ABCC11
Related articles to: ABCC11
- Identifying the genetic changes that shaped recent human adaptation depends on our ability to detect selection from genomic data. Summary statistics from haplotype scans have been widely used for that purpose, aggregating genetic signal over windows, though resolution is limited by linkage and their power may diminish as sweeps approach fixation, as in the case of the integrated haplotype score (iHS). Ancient DNA based scans recover signal by analysing time-series trajectories, but the majority of human populations fall outside the geographic range of any existing ancient DNA dataset. Pairwise coalescence times provide a way to complement statistics and can be applied to any modern cohort, yet computing them densely enough at cohort scale poses a computational challenge due to the quadratic growth in the number of haplotype pairs. We introduce gamma_smc_cu, a GPU implementation of the Gamma-SMC algorithm (Schweiger and Durbin, 2023) for pairwise time-to-the-most-recent-common-ancestor (TMRCA) inference. Applied to the 1000 Genomes Project (3,202 phased samples, corresponding to 6,404 haplotypes; 829,638 within-population pairs across 26 populations and five different continental ancestries; ~ 10 per-site posterior evaluations), it yields a gene-level TMRCA landscape of 17,823 autosomal protein-coding genes after masking for segmental duplications. The scan recovers well-known sweeps () and, combined with a depleted-to-enriched variant-class profile, resolves haplotype-block signals down to the gene level. Of seven case studies, two are developed in the main text - (chr11q13.2; SAS+EUR) and (chr6p21.1) - and the remaining five ( chr2q24/IBS, chr12q24/CDX, chr12q21/CHS, chr20q11/GIH, chr12p13/CDX) are presented in the Supplementary Information (SI). Notably, is a shared out-of-Africa signal - ranked below the within-population 1% tail in 16 of 19 non-African 1000 Genomes panels that PopHumanScan and five landmark haplotype-based scans miss. A previous 10 kb-windowed-mean iHS scan dilutes the cluster of extreme sites packed inside the ~5 kb gene bodies, while our own gene-level iHS independently recovers the locus in three South Asian panels (BEB, STU, ITU; top 0.4% genome-wide). We cross-validate the seven cases against the 9.7 million per-variant selection posteriors from a recent West-Eurasian ancient DNA scan. is detected concordantly ( ≈ 1.8% per generation). and reach detection threshold in flanking variants but not within their own gene bodies, while the cluster falls below it. To calibrate novelty, we review the candidate landscape against an expanded eight-catalog set spanning curated haplotype scans, the largest current West-Eurasian ancient-DNA leads, and a recent 26-population iHS refinement; the vast majority of our loci overlap at least one prior entry, and only a handful - including - remain unflagged. The contributions of this work are gene-level resolution, systematic ancient DNA cross-validation, and a reusable TMRCA landscape that complements aDNA panels. - Source: PubMed
Publication date: 2026/05/21
Korfmann KevinMathieson Sara - The Zhuang, China's largest ethnic minority with over 17 million individuals, represent a critical yet understudied population for understanding East Asian genetic diversity and population history. Here, we present the first high-coverage whole-genome (>30×) and exome (>70×) sequencing study of the Zhuang (ZUN), integrating ancient and modern genomic data to reconstruct their evolutionary trajectory. We show that ZUN derive ∼68% of their ancestry from the Tai-Kadai-speaking people, diverging ∼3,000 to 5,000 years ago (ya), with the Maonan as their closest genetic relatives. Our analyses support a shared origin of Tai-Kadai and Austronesian populations ∼7,000 ya, predating their divergence from Sino-Tibetan groups ∼16,000 ya. Substantial gene flow from Han Chinese since ∼4,000 ya reduced genetic divergence between ZUN and northern East Asians to ∼12,000 years. The ZUN ancestral gene pool formed 5,000 to 3,000 ya through multiple admixture waves, with 87% contribution from southern populations and 12% from northern groups. Demographic modeling indicates continuous population expansion until ∼10,000 ya, followed by a pronounced growth surge over the past 400 years. Adaptive selection signatures highlight genes linked to immune response (IGH cluster), lipid metabolism (FADS1/2), wound healing (TMEM121), and environmental adaptation (ABCC11), suggesting dietary shifts and tropical pathogens as key evolutionary drivers. Furthermore, the ZUN genetic profile reflects their role as a regional hub for gene flow into neighboring populations, coinciding with Han migrations during the Qin dynasty. Together, these results identify the Zhuang as descendants of Baiyue populations with a distinctive dual ancestry shaped by Neolithic southern and northern East Asians. - Source: PubMed
Mao ChuangxueLi SongyangLu YanLiu QiDeng LianGao YangZhang XiaoxiChen HaoYang YajunXu Shuhua - Cholesteatoma is a progressive disease characterized by abnormal proliferation of keratinizing squamous epithelium within the temporal bone. Although both congenital and acquired forms have been recognized, the molecular mechanisms underlying its development remain poorly understood. Although surgery is the only curative option, the high recurrence rates underscore the need to identify genetic risk factors. The rs17822931 (538G > A, G180R) polymorphism in the ABCC11 gene has been associated with cholesteatoma risk in the Japanese population. However, ethnic variation in the frequencies of SNPs other than rs17822931 raises the question of whether its involvement in cholesteatoma development is unique to the Japanese population or generalizable to other ethnic groups. - Source: PubMed
Publication date: 2026/01/06
Nakagawa HiroshiImai RitsukoGestewitz MartinPraetorius MarkTsukamoto MegumiAlbrecht TobiasKusunoki TakeshiIkeda KatsuhisaSertel Serkan - This study investigated the association between ATP-binding cassette (ABC) transporter gene polymorphisms and Epidermal Growth Factor Receptor (EGFR)- Tyrosine kinase inhibitor (TKI) sensitivity in non-small cell lung cancer (NSCLC). Our goal was to determine if these genetic variations could serve as valuable biomarkers for predicting treatment efficacy. We examined the associations between ABC transporter mRNA expression and EGFR-TKI sensitivity in 16 NSCLC cell lines. Expression of ABCB1, ABCG2, ABCC10, and ABCC11 was quantified by real-time PCR and correlated with IC values of gefitinib and osimertinib. Additionally, associations between transporter gene single nucleotide polymorphisms (SNPs) (ABCB1 C1236T, ABCB1 C3435T, ABCG2 C421A, ABCC10 T2843C, ABCC11 G538A) and EGFR-TKI sensitivity were evaluated. To assess clinical relevance, blood samples from 109 gefitinib/erlotinib- and 54 osimertinib-treated patients were analyzed for these SNPs. While no significant correlation was found between mRNA expression and IC values in cell lines, we did find that specific SNPs significantly correlated with drug cytotoxicity in vitro. Clinically, the ABCB1 C1236T T/T genotype was associated with prolonged PFS in patients on first-generation EGFR-TKIs, while the ABCC10 T2843C T/T genotype was linked to longer PFS with third-generation EGFR-TKIs. These findings suggest that ABC transporter SNPs could be valuable biomarkers for personalized medicine in NSCLC. These findings suggest that ABC transporter SNPs may serve as valuable biomarkers for predicting EGFR-TKI efficacy in NSCLC patients with EGFR mutations, which will contribute to personalized medicine. - Source: PubMed
Publication date: 2025/12/04
Toda-Shiraga SanaeUemura TakehiroKakihara AkihitoHashiba FumitakaTanaka TatsuyaIto ToshiyasuOnuki TomohiroIto KeimaMori YutaFukumitsu KensukeFukuda SatoshiKanemitsu YoshihiroTajiri TomokoOhkubo HirotsuguMaeno KenNiimi AkioOguri Tetsuya - Human axillary malodor negatively influences impression-related appearance, confidence, and hygiene, and ultimately decreases quality of life. Malodor formation involves three steps: vesiculation of odorless precursors within the human body, influx of these precursors into the intracellular space of bacteria, such as and , and efflux of malodorous metabolites into the axilla after conversion by axillary malodor-releasing enzymes (AMREs). Malodor deodorants are currently in use, and their formulation strategies, based on the ingredients, can be classified as follows: anti-sweating, antiproliferation of malodor-forming bacteria, masking (neutralizing) effects against malodor, and deodorization. However, current deodorants have several adverse effects. To reduce such effects while enhancing malodor suppression, a strategy targeting the specific step in malodor formation should be developed, such as the use of ABCC11 pump inhibitors, specific bacterial active pump controllers, and AMRE blockers. - Source: PubMed
Publication date: 2025/10/27
Son Hyun TaeChoi Hyo-SeungCho Seung-SikPark Dae-Hun