RNAScope in situ Hybridization as a Novel Technique for the Assessment of c-KIT mRNA Expression in Canine Mast Cell Tumor

Frontiers in veterinary science

2021 Feb 16

De Biase, D;Prisco, F;Piegari, G;Ilsami, A;d'Aquino, I;Baldassarre, V;Zito Marino, F;Franco, R;Papparella, S;Paciello, O;
PMID: 33665215 | DOI: 10.3389/fvets.2021.591961

RNA is considered as an indicator of the dynamic genetic expression changes in a cell. RNAScope is a commercially available in situ hybridization assay for the detection of RNA in formalin-fixed paraffin-embedded tissue. In this work, we describe the use of RNAScope as a sensitive and specific method for the evaluation of c-KIT messenger RNA (mRNA) in canine mast cell tumor. We investigated the expression of c-KIT mRNA with RNAscope in 60 canine mast cell tumors (MCTs), comparing it with the histological grade and KIT immunohistochemical expression patterns. Our results showed an overall good expression of c-KIT mRNA in neoplastic cells if compared with control probes. We also observed a statistically significant correlation between histological grade and c-KIT mRNA expression. No correlations were found between KIT protein immunohistochemical distribution pattern and c-KIT mRNA expression or histological grade. Our results provide a reference basis to better understand c-KIT mRNA expression in canine MCTs and strongly encourage further studies that may provide useful information about its potential and significant role as a prognostic and predictive biological marker for canine MCTs clinical outcome.

Variant calling and benchmarking in an era of complete human genome sequences

Nature reviews. Genetics

2023 Apr 14

Olson, ND;Wagner, J;Dwarshuis, N;Miga, KH;Sedlazeck, FJ;Salit, M;Zook, JM;
PMID: 37059810 | DOI: 10.1038/s41576-023-00590-0

Genetic variant calling from DNA sequencing has enabled understanding of germline variation in hundreds of thousands of humans. Sequencing technologies and variant-calling methods have advanced rapidly, routinely providing reliable variant calls in most of the human genome. We describe how advances in long reads, deep learning, de novo assembly and pangenomes have expanded access to variant calls in increasingly challenging, repetitive genomic regions, including medically relevant regions, and how new benchmark sets and benchmarking methods illuminate their strengths and limitations. Finally, we explore the possible future of more complete characterization of human genome variation in light of the recent completion of a telomere-to-telomere human genome reference assembly and human pangenomes, and we consider the innovations needed to benchmark their newly accessible repetitive regions and complex variants.

Mesenchymal stem cell-derived exosomes regulate microglia phenotypes: a promising treatment for acute central nervous system injury

Neural Regeneration Research

2022 Dec 14

Kang, H;Liu, Y;Li, Y;Wang, L;Zhao, Y;Yuan, R;Yang, M;Chen, Y;Zhang, H;Zhou, F;Qian, Z;
| DOI: 10.4103/1673-5374.363819

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Space in cancer biology: its role and implications

Trends in cancer

2022 Aug 19

Fomitcheva-Khartchenko, A;Kashyap, A;Geiger, T;Kaigala, GV;
PMID: 35995681 | DOI: 10.1016/j.trecan.2022.07.008

Tumor cells present complex behaviors in their interactions with other cells. This intricate behavior is driving the need to develop new tools to understand these ecosystems. The surge of spatial technologies allows evaluation of the complexity of relationships between cells present in a tumor, giving insights about tumor heterogeneity and the tumor microenvironment while providing clinically relevant metrics for tumor classification. In this review, we describe key results obtained using spatial techniques, present recent advances in methods to uncover spatially relevant biological significance, and summarize their main characteristics. We expect spatial technologies to significantly broaden our understanding of tumor biology and to generate clinically relevant tools that will ultimately impact personalized medicine.

Identifying Novel Genes and Variants in Immune and Coagulation Pathways Associated with Macular Degeneration

Ophthalmology Science

2022 Aug 01

Huan, T;Cheng, S;Tian, B;Punzo, C;Lin, H;Daly, M;Seddon, J;
| DOI: 10.1016/j.xops.2022.100206

Purpose To select individuals and families with low genetic burden for age-related macular degeneration (AMD), to inform the clinical diagnosis of macular disorders, and to find novel genetic variants associated with macular disease in affected families. Design Genetic association study based on targeted and whole exome sequencing. Participants 758 subjects (481 individuals with maculopathy and 277 controls), including 316 individuals in 72 families. Methods We focused on 150 genes involved in the complement, coagulation, and inflammatory pathways. Single-variant tests were performed on 3062 variants shared among 5 or more subjects using logistic regression. Gene-based tests were used to evaluate aggregate effects from rare and low frequency variants (at minor allele frequency [MAF]

ABCA1 activity in the RPE is unnecessary for RPE reverse cholesterol transport (RCT) and AMD pathophysiology

Investigative Ophthalmology & Visual Science

2023 Jan 01

Coble, M;Aranda, J;Demirs, JT;Esterberg, R;Hanks, S;Jose, S;Leehy, B;Liao, S;Niu, YZ;Qiu, Y;Yang, J;

METHODS : Gene expression of ABCA1 and ApoA1 on human donor tissue and iPSC-RPE were examined by qPCR (n=3). Bulk RNAseq examined transcript changes in key RCT genes on donor retinas across different stages of disease progression. RNAscope probes (ACDBio) were designed against abca1 transcripts with appropriate mismatch controls. Neutral lipid stain with oil-red O on 10um cryo-sections of abca1 KO and wild type (WT) eyes (N= 5). Two siRNAs knocked down abca1 in iPSC-RPE cells to assess abca1 contribution to cholesterol efflux (n=3). Samples were analyzed with the cholesterol efflux kit (ab196985) and compared to non-targeting control siRNAs. Histological analysis of ABCA1 protein using anti-ABCA1 (Invitrogen-MA516026) on human donor retinas (AMD1 vs AMD3).

Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness

Cancer cell

2022 Dec 20

Li, Y;Lih, TM;Dhanasekaran, SM;Mannan, R;Chen, L;Cieslik, M;Wu, Y;Lu, RJ;Clark, DJ;Kołodziejczak, I;Hong, R;Chen, S;Zhao, Y;Chugh, S;Caravan, W;Naser Al Deen, N;Hosseini, N;Newton, CJ;Krug, K;Xu, Y;Cho, KC;Hu, Y;Zhang, Y;Kumar-Sinha, C;Ma, W;Calinawan, A;Wyczalkowski, MA;Wendl, MC;Wang, Y;Guo, S;Zhang, C;Le, A;Dagar, A;Hopkins, A;Cho, H;Leprevost, FDV;Jing, X;Teo, GC;Liu, W;Reimers, MA;Pachynski, R;Lazar, AJ;Chinnaiyan, AM;Van Tine, BA;Zhang, B;Rodland, KD;Getz, G;Mani, DR;Wang, P;Chen, F;Hostetter, G;Thiagarajan, M;Linehan, WM;Fenyö, D;Jewell, SD;Omenn, GS;Mehra, R;Wiznerowicz, M;Robles, AI;Mesri, M;Hiltke, T;An, E;Rodriguez, H;Chan, DW;Ricketts, CJ;Nesvizhskii, AI;Zhang, H;Ding, L;Clinical Proteomic Tumor Analysis Consortium, ;
PMID: 36563681 | DOI: 10.1016/j.ccell.2022.12.001

Clear cell renal cell carcinomas (ccRCCs) represent ∼75% of RCC cases and account for most RCC-associated deaths. Inter- and intratumoral heterogeneity (ITH) results in varying prognosis and treatment outcomes. To obtain the most comprehensive profile of ccRCC, we perform integrative histopathologic, proteogenomic, and metabolomic analyses on 305 ccRCC tumor segments and 166 paired adjacent normal tissues from 213 cases. Combining histologic and molecular profiles reveals ITH in 90% of ccRCCs, with 50% demonstrating immune signature heterogeneity. High tumor grade, along with BAP1 mutation, genome instability, increased hypermethylation, and a specific protein glycosylation signature define a high-risk disease subset, where UCHL1 expression displays prognostic value. Single-nuclei RNA sequencing of the adverse sarcomatoid and rhabdoid phenotypes uncover gene signatures and potential insights into tumor evolution. In vitro cell line studies confirm the potential of inhibiting identified phosphoproteome targets. This study molecularly stratifies aggressive histopathologic subtypes that may inform more effective treatment strategies.

Data Processing and Germline Variant Calling with the Sentieon Pipeline

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

2022 Jun 25

Aldana, R;Freed, D;
PMID: 35751805 | DOI: 10.1007/978-1-0716-2293-3_1

Public and private genomic sequencing initiatives generate ever-increasing amounts of genomic data creating a need for improved solutions for genomics data processing (Stephens et al.PLoS Biol 13:e1002195, 2015). The Sentieon Genomics software enables rapid and accurate analysis of next-generation sequence data. In this work, we present a typical use of the Sentieon Genomics software for germline variant calling. The Sentieon germline variant calling pipeline produces more accurate results than other tools on third-party benchmarks (Katherine et al. Front Genet 10:736, 2019; Shen et al. bioRxiv, 885517, 2019) in one tenth the time of comparable pipelines. Parts of this guide come from the official Sentieon Genomics software manual in https://support.sentieon.com/manual (Sentieon. Sentieon Genomics software manual, n.d.) and from the official Sentieon Genomics software application notes in https://support.sentieon.com/appnotes (Sentieon. Sentieon Genomics software application notes, n.d.) and are republished with permission. For additional details and advanced usage instructions of the Sentieon tools, refer to the software manual.

The assembly of caprine Y chromosome sequence reveals a unique paternal phylogenetic pattern and improves our understanding of the origin of domestic goat

Ecology and evolution

2021 Jun 01

Xiao, C;Li, J;Xie, T;Chen, J;Zhang, S;Elaksher, SH;Jiang, F;Jiang, Y;Zhang, L;Zhang, W;Xiang, Y;Wu, Z;Zhao, S;Du, X;
PMID: 34188851 | DOI: 10.1002/ece3.7611

The mammalian Y chromosome offers a unique perspective on the male reproduction and paternal evolutionary histories. However, further understanding of the Y chromosome biology for most mammals is hindered by the lack of a Y chromosome assembly. This study presents an integrated in silico strategy for identifying and assembling the goat Y-linked scaffolds using existing data. A total of 11.5 Mb Y-linked sequences were clustered into 33 scaffolds, and 187 protein-coding genes were annotated. We also identified high abundance of repetitive elements. A 5.84 Mb subset was further ordered into an assembly with the evidence from the goat radiation hybrid map (RH map). The existing whole-genome resequencing data of 96 goats (worldwide distribution) were utilized to exploit the paternal relationships among bezoars and domestic goats. Goat paternal lineages were clearly divided into two clades (Y1 and Y2), predating the goat domestication. Demographic history analyses indicated that maternal lineages experienced a bottleneck effect around 2,000 YBP (years before present), after which goats belonging to the A haplogroup spread worldwide from the Near East. As opposed to this, paternal lineages experienced a population decline around the 10,000 YBP. The evidence from the Y chromosome suggests that male goats were not affected by the A haplogroup worldwide transmission, which implies sexually unbalanced contribution to the goat trade and population expansion in post-Neolithic period.

Profiling cell-type specific gene expression in post-mortem human brain samples through laser capture microdissection

Methods (San Diego, Calif.)

2022 Sep 03

Almeida, D;Turecki, G;
PMID: 36064002 | DOI: 10.1016/j.ymeth.2022.08.013

The transcriptome of a cell constitutes an essential piece of cellular identity and contributes to the multifaceted complexity and heterogeneity of cell-types within the mammalian brain. Thus, while a wealth of studies have investigated transcriptomic alterations underlying the pathophysiology of diseases of the brain, their use of bulk-tissue homogenates makes it difficult to tease apart whether observed differences are explained by disease state or cellular composition. Cell-type-specific enrichment strategies are, therefore, crucial in the context of gene expression profiling. Laser capture microdissection (LCM) is one such strategy that allows for the capture of specific cell-types, or regions of interest, under microscopic visualization. In this review, we focus on using LCM for cell-type specific gene expression profiling in post-mortem human brain samples. We begin with a discussion of various LCM systems, followed by a walk-through of each step in the LCM to gene expression profiling workflow and a description of some of the limitations associated with LCM. Throughout the review, we highlight important considerations when using LCM with post-mortem human brain samples. Whenever applicable, commercially available kits that have proven successful in the context of LCM with post-mortem human brain samples are described.

Recent advancements in CRISPR-Cas toolbox for imaging applications

Critical reviews in biotechnology

2021 Aug 18

Singh, V;Jain, M;
PMID: 34407706 | DOI: 10.1080/07388551.2021.1950608

The imaging of chromatin, genomic loci, RNAs, and proteins is very important to study their localization, interaction, and coordinated regulation. Recently, several clustered regularly interspaced short palindromic repeats (CRISPR) based imaging methods have been established. The refurbished tool kits utilizing deactivated Cas9 (dCas9) and dCas13 have been established to develop applications of CRISPR-Cas technology beyond genome editing. Here, we review recent advancements in CRISPR-based methods that enable efficient imaging and visualization of chromatin, genomic loci, RNAs, and proteins. RNA aptamers, Pumilio, SuperNova tagging system, molecular beacons, halotag, bimolecular fluorescence complementation, RNA-guided endonuclease in situ labeling, and oligonucleotide-based imaging methods utilizing fluorescent proteins, organic dyes, or quantum dots have been developed to achieve improved fluorescence and signal-to-noise ratio for the imaging of chromatin or genomic loci. RNA-guided RNA targeting CRISPR systems (CRISPR/dCas13) and gene knock-in strategies based on CRISPR/Cas9 mediated site-specific cleavage and DNA repair mechanisms have been employed for efficient RNA and protein imaging, respectively. A few CRISPR-Cas-based methods to investigate the coordinated regulation of DNA-protein, DNA-RNA, or RNA-protein interactions for understanding chromatin dynamics, transcription, and protein function are also available. Overall, the CRISPR-based methods offer a significant improvement in elucidating chromatin organization and dynamics, RNA visualization, and protein imaging. The current and future advancements in CRISPR-based imaging techniques can revolutionize genome biology research for various applications.

CRISPR Systems for COVID-19 Diagnosis

ACS sensors

2021 Jan 27

Rahimi, H;Salehiabar, M;Barsbay, M;Ghaffarlou, M;Kavetskyy, T;Sharafi, A;Davaran, S;Chauhan, SC;Danafar, H;Kaboli, S;Nosrati, H;Yallapu, MM;Conde, J;
PMID: 33502175 | DOI: 10.1021/acssensors.0c02312

The emergence of the new coronavirus 2019 (COVID-19) was first seen in December 2019, which has spread rapidly and become a global pandemic. The number of cases of COVID-19 and its associated mortality have raised serious concerns worldwide. Early diagnosis of viral infection undoubtedly allows rapid intervention, disease management, and substantial control of the rapid spread of the disease. Currently, the standard approach for COVID-19 diagnosis globally is the RT-qPCR test; however, the limited access to kits and associated reagents, the need for specialized lab equipment, and the need for highly skilled personnel has led to a detection slowdown. Recently, the development of clustered regularly interspaced short palindromic repeats (CRISPR)-based diagnostic systems has reshaped molecular diagnosis. The benefits of the CRISPR system such as speed, precision, specificity, strength, efficiency, and versatility have inspired researchers to develop CRISPR-based diagnostic and therapeutic methods. With the global COVID-19 outbreak, different groups have begun to design and develop diagnostic and therapeutic programs based on the efficient CRISPR system. CRISPR-based COVID-19 diagnostic systems have advantages such as a high detection speed (i.e., 30 min from raw sample to reach a result), high sensitivity and precision, portability, and no need for specialized laboratory equipment. Here, we review contemporary studies on the detection of COVID-19 based on the CRISPR system.

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	Description
sense Example: Hs-LAG3-sense	Standard probes for RNA detection are in antisense. Sense probe is reverse complent to the corresponding antisense probe.
Intron# Example: Mm-Htt-intron2	Probe targets the indicated intron in the target gene, commonly used for pre-mRNA detection
Pool/Pan Example: Hs-CD3-pool (Hs-CD3D, Hs-CD3E, Hs-CD3G)	A mixture of multiple probe sets targeting multiple genes or transcripts
No-XSp Example: Hs-PDGFB-No-XMm	Does not cross detect with the species (Sp)
XSp Example: Rn-Pde9a-XMm	designed to cross detect with the species (Sp)
O# Example: Mm-Islr-O1	Alternative design targeting different regions of the same transcript or isoforms
CDS Example: Hs-SLC31A-CDS	Probe targets the protein-coding sequence only
EnEm	Probe targets exons n and m
En-Em	Probe targets region from exon n to exon m
Retired Nomenclature
tvn Example: Hs-LEPR-tv1	Designed to target transcript variant n
ORF Example: Hs-ACVRL1-ORF	Probe targets open reading frame
UTR Example: Hs-HTT-UTR-C3	Probe targets the untranslated region (non-protein-coding region) only
5UTR Example: Hs-GNRHR-5UTR	Probe targets the 5' untranslated region only
3UTR Example: Rn-Npy1r-3UTR	Probe targets the 3' untranslated region only
Pan Example: Pool	A mixture of multiple probe sets targeting multiple genes or transcripts

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