Supplementary data.xlsx by Danjun Li (21443051)

“…Sirt6 is a NAD+-dependent epigenetic regulator that has recently been found to play an important role in maintaining telomere stability. Here, we report for the first time that NAD+ levels are significantly lower in blastocysts cultured in vitro than that in blastocysts developed in vivo, leading to impaired Sirt6 function, further triggering telomere shortening of the inner cell mass and possibly affecting newborn offspring. …”

Source data.xlsx by Qian Cheng (20991434)

“…This limitation restricts electrode thickness, decreases power density, and shortens battery lifetime. …”

Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 8_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 2_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 5_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 1_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tiff by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Figure 1 from Tracking Nongenetic Evolution from Primary to Metastatic ccRCC: TRACERx Renal by Ángel Fernández-Sanromán (20814476)

“…Variables in blue and gray bars display significant (FDR < 0.05) and nonsignificant associations, respectively. …”

Table 7_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Table 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 6_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Image 4_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif by Bin He (75597)

“…These subtypes exhibited significantly different distributions between AF and SR. …”

Data corresponding to the publication by Di Miceli, Rossitto, Martinat, Marchaland, Kharbouche, Graland, Younes, Séré, Aubert, Rabbaa Khabbaz, Madore, Delpech, Martín & Layé. by Mathieu Di Miceli (6318911)

“…However, at PND21, abnormal social interaction was witnessed in male and female animals born by CSD, with significantly decreased time spent interacting during the social interaction test. …”

Impacts of winter climate change on northern forest understory carbon dioxide exchange determined by reindeer grazing by Noora Kantola (14263490)

“…To understand how reindeer grazing, coupled with changes in snow depth affects CO₂ exchange, we used recent snow treatments (ambient, reduced, and increased snow depth) combined with 25- and 55-year-old reindeer exclusions and the adjacent grazed areas in boreal and subarctic Scots pine forests that are main winter pastures for reindeer/caribou and cover a significant portion of boreal and subarctic landscapes. …”

Table 1_Association of serum chemokine (C–C motif) 21 and receptor (C–C motif) 7 with Hashimoto’s thyroiditis——a preliminary clinical investigation.docx by Xiaoting Gui (22516922)

“…</p>Results<p>Compared with the healthy control group, the Hashimoto’s thyroiditis group had significantly increased serum CCL21 [154.92 (147.01, 165.34) vs 123.74 (118.02,129.22), p<0.001] and CCR7 [19.15 (18.19, 19.71) vs 16.47 (15.88, 17.14), p<0.001], decreased free triiodothyronine, and increased thyroid stimulating hormone, TgAb, and TPOAb. …”