Xinshu Xiao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Xinshu Xiao has a total of 536 co-authors. Here are the top co-authors by number of shared publications:
- Ting Fu
University of California, Los Angeles 4 Department of Integrative Biology and Physiology Los Angeles, California
42 shared publications - Angela L. Zhang
University of California, Los Angeles 4 Department of Integrative Biology and Physiology Los Angeles, California
33 shared publications - Carla M. Koehler
UCLA 2 Department of Chemistry and Biochemistry Los Angeles, CA 90095
33 shared publications - David B. Shackelford
Pulmonary and Critical Care Medicine, David Geffen School of Medicine (DGSOM), University of California Los Angeles (UCLA), Los Angeles, USA
33 shared publications - Guillaume Francois Chanfreau
University of California, Los Angeles
33 shared publications - Kevin L. He
University of California, Los Angeles 1 Department of Chemistry and Biochemistry Los Angeles, California
33 shared publications
Latest Publications
- Open Access
- 6 November 2026
- Published by Elsevier in STAR Protocols
- Vol. 7 (4)
CryEx.v2, an enhanced protocol for the quantitative detection and visualization of cryptic splicing using human transcriptome data
- 6 November 2026
- Published by Elsevier in STAR Protocols
- Vol. 7 (4)
Open AccessCryEx.v2, an enhanced protocol for the quantitative detection and visualization of cryptic splicing using human transcriptome data
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Table 4 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
Read counts mapped to mitochondrial genome
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Table 4 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
Read counts mapped to mitochondrial genome
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 2 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
RIP-seq Histogram of H1944, H23 and PC9 with and without IMT-1 Treatment
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 2 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
RIP-seq Histogram of H1944, H23 and PC9 with and without IMT-1 Treatment
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 4 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
Representative peak analysis for heteroplasmy
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 4 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
Representative peak analysis for heteroplasmy
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 5 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
IF of cell lines with IMT-1 Treatment
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 5 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
IF of cell lines with IMT-1 Treatment
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Figure 2 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
Enrichment of mtdsRNAs is captured through dsRNA-seq in selected NSCLC cell lines. A, Workflow of RIP-seq. B, Quantification of unique reads detected by RIP-seq. Reads from the heavy (red) and light (blue) strands were mapped to the mitochondrial genome ChrMT. See Supplementary Fig. S1 for an enlarged view of the sequencing data. C and D, Statistical analysis of successfully aligned reads per genomic feature (gene, CDS, rRNA, exon, and D-loop, with either tRNA included or excluded). Bar represents average. Error bars represent ± SEM. P values are represented as is. One-way ANOVA was completed. Each dot represents an independent experiment (n = 3). E, Mitochondrial genome mapped with primers used for long-read sequencing. Primers can be found in Supplementary Table S1. Green: ND5 Fwd → RNR2 Rev. Blue: RNR2 Fwd → Cox3 Rev. Orange: Cox3 Fwd → ND5 Rev. F, Gel showing the bands generated by PCR across three different cell lines used for ADAR sequencing. Representative of three independent experiments (n = 3).
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure 2 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
Enrichment of mtdsRNAs is captured through dsRNA-seq in selected NSCLC cell lines. A, Workflow of RIP-seq. B, Quantification of unique reads detected by RIP-seq. Reads from the heavy (red) and light (blue) strands were mapped to the mitochondrial genome ChrMT. See Supplementary Fig. S1 for an enlarged view of the sequencing data. C and D, Statistical analysis of successfully aligned reads per genomic feature (gene, CDS, rRNA, exon, and D-loop, with either tRNA included or excluded). Bar represents average. Error bars represent ± SEM. P values are represented as is. One-way ANOVA was completed. Each dot represents an independent experiment (n = 3). E, Mitochondrial genome mapped with primers used for long-read sequencing. Primers can be found in Supplementary Table S1. Green: ND5 Fwd → RNR2 Rev. Blue: RNR2 Fwd → Cox3 Rev. Orange: Cox3 Fwd → ND5 Rev. F, Gel showing the bands generated by PCR across three different cell lines used for ADAR sequencing. Representative of three independent experiments (n = 3).
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Supplementary Figure 5 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
IF of cell lines with IMT-1 Treatment
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessSupplementary Figure 5 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
IF of cell lines with IMT-1 Treatment
- Open Access
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Figure 2 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
Enrichment of mtdsRNAs is captured through dsRNA-seq in selected NSCLC cell lines. A, Workflow of RIP-seq. B, Quantification of unique reads detected by RIP-seq. Reads from the heavy (red) and light (blue) strands were mapped to the mitochondrial genome ChrMT. See Supplementary Fig. S1 for an enlarged view of the sequencing data. C and D, Statistical analysis of successfully aligned reads per genomic feature (gene, CDS, rRNA, exon, and D-loop, with either tRNA included or excluded). Bar represents average. Error bars represent ± SEM. P values are represented as is. One-way ANOVA was completed. Each dot represents an independent experiment (n = 3). E, Mitochondrial genome mapped with primers used for long-read sequencing. Primers can be found in Supplementary Table S1. Green: ND5 Fwd → RNR2 Rev. Blue: RNR2 Fwd → Cox3 Rev. Orange: Cox3 Fwd → ND5 Rev. F, Gel showing the bands generated by PCR across three different cell lines used for ADAR sequencing. Representative of three independent experiments (n = 3).
- 17 June 2026
- Published by American Association for Cancer Research (AACR)
Open AccessFigure 2 from Characterization of Mitochondrial Double-Stranded RNA Levels in Non–Small Cell Lung Carcinoma
Enrichment of mtdsRNAs is captured through dsRNA-seq in selected NSCLC cell lines. A, Workflow of RIP-seq. B, Quantification of unique reads detected by RIP-seq. Reads from the heavy (red) and light (blue) strands were mapped to the mitochondrial genome ChrMT. See Supplementary Fig. S1 for an enlarged view of the sequencing data. C and D, Statistical analysis of successfully aligned reads per genomic feature (gene, CDS, rRNA, exon, and D-loop, with either tRNA included or excluded). Bar represents average. Error bars represent ± SEM. P values are represented as is. One-way ANOVA was completed. Each dot represents an independent experiment (n = 3). E, Mitochondrial genome mapped with primers used for long-read sequencing. Primers can be found in Supplementary Table S1. Green: ND5 Fwd → RNR2 Rev. Blue: RNR2 Fwd → Cox3 Rev. Orange: Cox3 Fwd → ND5 Rev. F, Gel showing the bands generated by PCR across three different cell lines used for ADAR sequencing. Representative of three independent experiments (n = 3).